Data Science Internship Jobs in Centreville, VA

Hamilton Porter is proud to support the hiring needs, of one of the leaders in small business refinancing. Our long time client, is looking for a Data Scientist. Will develop models to support programs for the organization. Will classify or categorize data to make predictions related to the models. What You Will Do: Model Development: Design, develop, and deploy machine learning models and algorithms to solve business problems or improve processes for Legal/Collections and Sales Build models to classify account transaction data to benefit underwriting process and merchant insights Build models including but not limited to credit risk, fraud, and offer acceptance propensity Perform through testing and validation of models and support various aspects of the business with data analytics, i.e., experience with data and model governance Research, design, implement and validate cutting-edge algorithms/models to analyze diverse sources of data to achieve targeted outcomes, i.e., be up to date on data science research (papers and libraries); be able to build and evaluate models yourself Advanced Data Analysis: Conduct sophisticated analysis on top of models to derive meaningful insights and actionable strategy recommendations. Identify new data sources and patterns that add lift to predictive modeling capabilities; come in with existing knowledge about relevant datasets and services to leverage Conduct analysis and turn insights into actionable changes for predictive models or policies; have experience identifying and prioritizing the business impact Statistical Analysis: Apply statistical techniques to interpret data, validate models, and ensure robustness of analytical solutions. Deliver informative and effective findings, results and recommendations from statistical analysis to stakeholders, both technical and non-technical audiences Recommend ongoing improvements to methods and algorithms currently in production Collaboration: Work closely with cross-functional teams such as engineering, product management, and business stakeholders to understand requirements and deliver solutions. What We're Looking For: MS in Statistics, Economics, Finance, or other related quantitative field Strong understanding of Computer Science fundamentals 3-5 years of relevant experience in applying data science techniques to real-world problems Strong proficiency Python and SQL for data manipulation, analysis, and modeling Econometric modeling, traditional modeling techniques (regression, tree-based models), deep learning, Natural Language Processing (NLP) Agile, Scrum experience Strong SQL Big data; experience with Databricks or Snowflake, Linux, AWS Strong understanding of Software Development Lifecycle (SDLC) Experience with exploratory data analysis and visualization Solid understanding of statistical methods and their application in data analysis and modeling Experience with machine learning techniques and libraries/frameworks (e.g., scikit-learn) Ability to work with large, complex datasets using tools like Pandas, Spark, or similar Strong analytical and problem-solving skills to translate business requirements into technical solutions Able to share a portfolio (e.g., website, github, paper references, etc.) of papers, visualizations, or software Excellent communication skills to articulate findings and insights to both technical and non-technical stakeholders. Compensation: Competitive base salary ($110K - $124K - DOE) + potential for 10% performance bonus Outstanding company covered Health Coverage - tons of options across Health, Dental, Vision options + Flexible PTO 401K through Fidelity with 25% match Tons of other company wide perks... Apply today we are quick to interview.

Tower Strategy Group is seeking an entrepreneurial individual to fill a full-time Analyst position in our Alexandria, VA office. The ideal candidate should possess robust organizational skills, strong analytical skills, primary and secondary research experience, and be able to work well both individually and on a team. We are a boutique strategy consulting firm, and, as such, much of our work requires communication both in-house and with our clients. Therefore, strong written and oral communication skills are imperative. Our culture is the core of our work and we are focused on growth. As a team, we are dynamic, flexible, and bold. In the Analyst role you would be given substantial responsibility and the opportunity to be involved at a high level on many of our projects. Tower Strategy Group is a strategy consulting firm focused on business transformation and market expansion. We support the C-suite, President, Vice President-level and senior management at FORTUNE 500 companies and the Federal Government. We execute high-impact, quick turnaround engagements that allow our clients to understand industry structure, identify and pursue new growth opportunities, determine how to increase market share, and improve their operational performance. Applicants must be graduates of top universities with 1-4 years of experience. A resume and cover letter are required for consideration. For more information, please contact us at ********************. Responsibilities: Conducting qualitative and quantitative analysis Collecting and analyzing data Conducting primary and secondary research Organizing and preparing materials for client workshops Writing client deliverables Supporting our senior team in client interaction and management Leading business development efforts Participating in firm development efforts Administrative duties as assigned Requirements: Bachelor's Degree 0-2 years relevant professional experience Required experience: Quantitative and/or qualitative analysis Strong organizational skills Experience with AI / LLM tools Ability to work independently without supervision and collaborate within a team Primary and secondary research Microsoft Office suite (emphasis on PowerPoint and Excel) Client-facing experience Experience with workshop facilitation and project management

About Us We are a leading analytics company leveraging AI to empower enterprises and government agencies with smarter, faster decision-making capabilities. Our innovative platform turns intricate data into practical insights with intuitive AI tools and advanced visualization capabilities, empowering users to make informed decisions seamlessly. Trusted by top defense agencies and Fortune 500 companies, we're scaling fast and looking for a Data Scientist (TS/SCI Cleared) to join our dynamic team. What You'll Do: Design, implement, and deliver AI-powered solutions tailored to customer needs using our advanced analytics tools. Work closely with clients to guide AI solutions from initial concept through full-scale deployment. Leverage big data tools and platforms, such as Databricks, to build scalable and efficient AI-driven solutions. What You'll Bring: Active TS/SCI security clearance and ability to work from an SCIF. Based in Washington DC/Northern Virginia, with travel to client sites. Degree in Computer Science or related field. 3+ years of Python coding (pandas, numpy, sklearn, TensorFlow, PyTorch, etc.). Experience deploying machine learning models in production. Proficiency with SQL/NoSQL databases, version control (e.g., Git), Docker, and Kubernetes. Strong ownership, accountability, and communication skills. Bonus Points For: Experience leading projects in SCIF environments. Cyber Analytics, PCAP, or network monitoring expertise. Familiarity with Spark, Dask, Snowpark, Kafka, or task schedulers like Airflow and Celery. Join us and be part of a mission-driven team at the forefront of AI innovation!

Outlier helps the world's most innovative companies improve their AI models by providing human feedback. Are you an experienced Biology who would like to lend your expertise to train AI models? About the opportunity: Outlier is looking for talented accounting and tax experts to help train generative artificial intelligence models This freelance opportunity is remote and hours are flexible, so you can work whenever is best for you You may contribute your expertise by…Assessing the factuality and relevance of domain-specific text produced by AI models Crafting and answering questions related to BiologyEvaluating and ranking domain-specific responses generated by AI models Examples of desirable expertise:A bachelor's or higher degree in Biology or a related subject Experience working as an Biology professional Ability to write clearly about concepts related to Biology in fluent EnglishPayment:Currently, pay rates for core project work by Biology experts range from $30 to $50 per hour USD. Rates vary based on expertise, skills assessment, location, project need, and other factors. For example, higher rates may be offered to PhDs. For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply. Certain projects offer incentive payments. Please review the payment terms for each project.

Please review the job details below. Maxar is currently seeking a Data Analyst to join our team. This role will be performed in our Maxar facility located in Herndon, Virginia and the customer site in Springfield, VA As a Maxar team member, you will have the opportunity to closely support our mission partners, and your work will have a direct impact on mission imperatives. In this role, you will work closely with software developers, other data SMEs, as well our infrastructure and cybersecurity teams leveraging open-source tools to create and maintain a diverse range of applications. What You'll Be Doing: Responsible for performing and developing data evaluation and assessment efforts. Shaping data engineering approaches for analytic tradecraft improvements with our applications. Identifying and documenting gaps within our data corpus and analytical capabilities. Working hand-in-hand with software developers to field requirements and provide feedback as changes are implemented into an application. Working with end-users to provide SME support for various data or application questions and requests. About Us: We are a multi-faceted software development and systems administration team working to build and maintain software applications backed by a self-managed cloud infrastructure with a true big-data footprint (over 12 petabytes). Our diverse background of experience in mission support and software development serves as a catalyst to solve unique and challenging intelligence problems in support of special operations analysts and their on-going activities. Prototyping and frequent, iterative feedback are core to our delivery approach, anchored by a need to work quickly in support of our missions. Minimum Requirements: Must have a current/active TS/SCI and be willing and able to obtain a CI polygraph. Experience formulating a repeatable process for data evaluations and communicating findings to government officials. In-depth knowledge of technical data types based on previous research and work with data sets of interest. Data types of interest include Technical Telemetry Data and other forms of telecommunication protocol data types, including cellular and wi-fi. At least 5 years of experience as a data analyst, data scientist or similar. Excellent written and verbal communication skills. Must be a self-starter with excellent time-management skills and the ability to independently manage multiple concurrent tasks. Must be experienced working in fast-paced environments. Experience working with Software Engineers to provide feedback and validate the technical implementation for custom applications. Experience working with a scripting language like Python, SQL, Spark, PySpark or similar. Must be able to work on-site in Hendon, VA, with the ability to work in Springfield, VA as needed. Preferred Qualifications: Comfortable with briefing government leadership. Experience conducting Activity-Based Intelligence or Pattern of Life analysis. Experience applying, improving, and documenting innovative analytic methodologies and ensuring they remain up to date with the latest information. Experience in a customer facing role. Familiarity with Gitlab. Experience working with Jupyter Notebooks or Zepplin. Experience working with other intel analysts and/or special operations customers. #cjpost #LI-RD In support of pay transparency at Maxar, we disclose salary ranges on all U.S. job postings. The successful candidate's starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range. ● The base pay for this position within the Washington, DC metropolitan area is: $115,000.00 - $191,000.00 annually. For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range. We offer a comprehensive package of benefits including paid time off, health and welfare insurance, and 401(k) to eligible employees. You can find more information on our benefits at: ************************************** The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. The date of posting can be found on Maxar's Career page at the top of each job posting. To apply, submit your application via Maxar's Career page. Maxar Technologies values diversity in the workplace and is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies - Python, Conda, AWS, H2O, Spark, and more - to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You've built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. “Big data” doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining a Bachelor's Degree plus 5 years of experience in data analytics, or currently has, or is in the process of obtaining a Master's Degree plus 3 years in data analytics, or currently has, or is in the process of obtaining PhD, with an expectation that required degree will be obtained on or before the scheduled start date At least 1 year of experience in open source programming languages for large scale data analysis At least 1 year of experience with machine learning At least 1 year of experience with relational databases Preferred Qualifications: Master's Degree in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) At least 1 year of experience working with AWS At least 3 years' experience in Python, Scala, or R At least 3 years' experience with machine learning At least 3 years' experience with SQL Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Aquila's Fitness Specialist Intern Summer 2025 will gain first- hand experience by assisting members in safe and effective exercise programs and perform a wide range of duties in a health/fitness center, under the supervision of the site manager. The program provides students with a well rounded experience in the fitness industry, in a professional setting. We currently have openings for Summer 2025 interns for our Washington, DC locations. As a Fitness Specialist Intern, you will have the opportunity to do the following: Assist in educating members concerning safe exercise techniques Assist to perform exercise assessments and prescribe exercise upon American College of Sports Medicine guidelines Conduct safe and effective assessments including cardiovascular, strength, flexibility, and body composition analysis; evaluate and interpret data and identify high risk participants and special populations Aid members - spotting and equipment usage Assist in the maintenance, cleanliness and safety of all equipment Adhere to departmental and club policies and procedures Adhere to client's policies and procedures Assist in wellness and fitness promotions and external events Perform daily administrative duties under the supervision of the site manager or fitness specialist Assist in memberships: monthly, internships: signing members up, sending out reminders of payment Help teach group fitness classes in different styles: step, strength, circuit, Pilates and/or yoga Helping clients/members with fitness related questions. Performing tours of the facility Personal Training shadowing and writing out mock PT sessions Assisting with newsletter, articles, and monthly bulletin board Compensation: This is an unpaid internship and does not provide wages. However, at the completion of the program Aquila sponsors an ACE certification exam for the candidate. The program has to be completed in full. The exam fees are paid by Aquila. Requirements: Must be an undergraduate Junior or Senior majoring in Kinesiology, Exercise Science, Health Promotion or very closely related major. Must have at least a 2.75 GPA Also, the following are required: Excellent written and verbal communication skills Strong organizational skills Customer service oriented Knowledge of fitness training principles Punctuality Computer knowledge: Microsoft Office Products & Internet All candidates must be able to complete a background check and a federal security clearance check. Aquila is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin or any other characteristic protected by law. EOE Minorities/Women/Protected Veterans/Individuals with Disabilities

Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for various areas of the organization with a focus on managing credit risk. Understand business needs and identify opportunities for new products, services, and process optimization to meet business objectives using cutting-edge data science techniques. Create descriptive, predictive, and prescriptive models and insights to drive impact across the organization. Regarded as an advanced professional in the data science field. Conduct complex work under minimal supervision and with wide latitude for independent judgment. Mentor lower-level staff. Responsibilities Develop credit risk models and strategies for underwriting and account management to optimize Lending decisions Develop simulation/capacity models for capacity planning and business process improvement to improve operational efficiency, and member service and satisfaction Develop, implement, and use of credit scoring models for underwriting strategies Create detailed documentation outlining solution design and technical specification of each solution Maintain thorough knowledge of credit bureau data, tools and initiatives as well as newer advancements in Machine Learning and AI, and how they may be leveraged to improve Lending's credit decisions Develop and refine segmentation models to help focus corporate and divisional activities and goals supporting corporate growth, retention, client/member experience and long-term profitability Design, develop, and evaluate large and complex predictive models and advanced algorithms Test hypotheses/models, analyze, and interpret results Develop actionable insights and recommendations Develop and code complex software programs, algorithms, and automated processes Use evaluation, judgment, and interpretation to select right course of action Work on problems of diverse scope where analysis of information requires evaluation of identifiable factors Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets Transform data into charts, tables, or format that aids effective decision making Utilize effective written and verbal communication to document analyses and present findings analyses to a diverse audience of stakeholders Develop and maintain strong working relationships with team members, subject matter experts, and leaders Lead moderate to large projects and initiatives Model best practices and ethical AI Works with senior management on complex issues Assist with the development and enhancement practices, procedures, and instructions Serve as technical resource for other team members Mentor lower-level data scientists Qualifications 6+ years of experience with requisite competencies Complete knowledge and full understanding of specialization Statistics, machine learning, data mining, data auditing, aggregation, reconciliation, and visualization Programming, data modeling, simulation, and advanced mathematics Python, SQL, R, SAS, SPSS, Scala, AWS Model lifecycle execution Technical writing Data storytelling and technical presentation skills Research Skills Interpersonal Skills Advanced knowledge of procedures, instructions and validation techniques Model Development Communication Critical Thinking Collaborate and Build Relationships Initiative with sound judgement Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.) Independent Judgment Problem Solving (Identifies the constraints and risks) Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields Desired Qualification Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or Engineering Hours: Monday - Friday, 8:00AM - 4:30PM Location: 820 Follin Lane, Vienna, VA 22180 About Us Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks. Our approach to careers is simple yet powerful: Make our mission your passion. • Best Companies for Latinos to Work for 2024 • Computerworld Best Places to Work in IT • Forbes 2024 America's Best Large Employers • Forbes 2024 America's Best Employers for New Grads • Forbes 2024 America's Best Employers for Tech Workers • Fortune Best Workplaces for Millennials™ 2024 • Fortune Best Workplaces for Women ™ 2024 • Fortune 100 Best Companies to Work For 2024 • Military Times 2024 Best for Vets Employers • Newsweek Most Loved Workplaces • 2024 PEOPLE Companies That Care • Ripplematch Recruiting Choice Award • Yello and WayUp Top 100 Internship Programs From Fortune. ©2024 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union. Equal Employment Opportunity: Navy Federal values, celebrates, and enacts diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected Veteran. Hybrid Workplace: Navy Federal Credit Union is a hybrid workplace, and details will be discussed during your interview process. Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.

This is a part-time onsite position based in Gaithersburg, MD, running 3-6 months. The role requires 15-20 hours per week, Wednesday - Friday mornings. Candidates requiring relocation will not be considered for the position. Are you passionate about learning? Do you enjoy organizing, analyzing feedback, and ensuring training programs run smoothly? If so, we have the perfect internship for you! At Miltenyi Biotec we are looking for an Intern to support our training initiatives and enhance our learning programs. This is a fantastic opportunity to gain hands-on experience in training administration while making a meaningful impact. Your Tasks: Provide administrative support for training sessions, including scheduling, documentation, and preparation. Manage trainee feedback to drive continuous improvement of training programs. Assist with recording and sharing customer profiles with field teams and product managers post-training. Handle routine tasks such as training session setup, enabling trainers to focus on high-value responsibilities. What We're Looking For: Currently pursuing or recently completed a degree in Business, Communications, or a related field. Strong organizational skills with attention to detail. Excellent communication skills and ability to work with diverse teams. Comfortable working with Microsoft Office, Google Suite, or similar tools. A proactive attitude with a passion for learning and development. Why Join Us? Gain real-world experience in corporate training and development. Work in a collaborative and supportive environment. Opportunity to network with industry professionals and grow your career. Potential for future full-time opportunities. Ready to kick-start your career in training? Apply now! Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to walk; use hands to finger, handle, or feel; reach with hands and arms, talk, and hear. The employee is required to stand; climb or balance and stoop, kneel, crouch. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception and ability to adjust focus. Must have ability to handle more than one task at a time and must work at a rapid pace while maintaining attention to detail. Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. This job is performed in a temperature-controlled facility without exposure to extreme hot or cold temperatures. Generally, this job is performed in an office environment. Miltenyi Biotec, Inc is an EO Employer - M/F/Veteran/Disability/Sexual Orientation/Gender Identity Miltenyi Biotec, Inc. participates in E-Verify. Are you ready to start revolutionizing biomedical research? When you join Miltenyi Biotec, you join a family that is passionate about making a real impact - one breakthrough at a time. For over 30 years, we have played a pivotal role in the design, development, manufacture, and integration of products for sample preparation, cell separation, cell analysis, imaging, and cell culture needs. These developments have led to cutting-edge cell and gene therapies - transformative methods that mobilize the body's own cells and genetic blueprint to tackle diseases such as cancer and autoimmune conditions. Today, our more than 18,000 solutions play a vital role in paving the way for the medicine of tomorrow. RequiredPreferredJob Industries Other

Who We Are Arcellx is a public, clinical-stage biotechnology company reimagining cell therapy by engineering innovative immunotherapies for patients with cancer and other incurable diseases. We believe that cell therapies are one of the forward pillars of medicine and our mission is to destroy cancer and advance humanity by developing cell therapies that are safer, more effective, and more broadly accessible. Our team members are made up of talented innovators and dreamers working from our offices in Rockville, Maryland, and Redwood City, California. At Arcellx, we hire exceptional people and create a fun, diverse, supportive, and informal environment that allows everyone to do their best work. What Matters to Us Living our core values is essential to maintaining a work environment that is high-performing, inclusive, and collaborative. We look for candidates who demonstrate strong values alignment and bring different backgrounds, viewpoints, and abilities to the team. Arcellx Core Values Character : Committed to always doing what's right. Audacity : Willing to challenge convention and share candid feedback with others. Determination : Curious and self-motivated. Always looking to improve and learn. Collaboration : "No job is too small" mentality. Humble and willing to help others. Originality : Will bring your unique perspective to the table and respect a diverse set of views and backgrounds. The “Fine Print” - What You'll D Set up, operate, and troubleshoot TFF systems for LVV purification. Conduct buffer preparation, filtration experiments, optimizing flow rate, transmembrane pressure (TMP), and viral recovery efficiency. Analyze and interpret filtration performance data to identify process trends and optimization opportunities. Document findings and present results in technical reports and an end-of-internship presentation. Skills and Experience We Look For Our ideal candidate has is detail-oriented with a strong problem-solving mindset, capable of troubleshooting lab operations effectively. Should be able to work both independently and collaboratively in a fast-paced laboratory setting. Strong organizational skills are essential for managing experiments, documenting findings, and meeting deadlines. Effective communication skills are needed to present results and collaborate with cross-functional teams. Join us in our quest to reimagine cell therapy and destroy cancer. For more on our technology, culture, and team, go to **************** #LI-Onsite

About the National Fair Housing Alliance The National Fair Housing Alliance (NFHA) has an opening for a dynamic, results-oriented visionary to serve as Math Science Intern. NFHA leads the fair housing movement and is the nation's only national civil rights organization exclusively dedicated to eliminating all forms of housing discrimination and ensuring equitable housing opportunities for all people and communities. We have a diverse, experienced, mission-driven, and impactful team that has developed equity-based policies at the federal, state, and local levels to expand fair housing opportunities; brought precedent-setting litigation to eliminate some of the most heinous forms of housing discrimination; conducted groundbreaking research to promote equitable solutions; and invested millions of dollars in underserved communities. We have solid relationships, built on trust, with national, regional, and local organizations, and we effectively draw upon these connections to reach vital goals. We are game changers that millions of people rely upon to advance fair housing in the communities where they live. Where you live matters. It affects every aspect of your life and determines whether you have access to resources-like broadband service, healthcare facilities, fresh land, air, and water, and well-resourced schools-we all need to thrive. Despite important existing federal laws, more than 4 million acts of housing discrimination occur in the U.S. each year, and housing inequality remains stubbornly entrenched. That is why-through its education and outreach, member services, public policy, and advocacy, housing and community development, responsible AI, enforcement, and consulting and compliance programs-NFHA is dismantling longstanding barriers to equity, rooting out bias, and building diverse, inclusive, well-resourced communities. To learn more about NFHA, please visit ********************************* Position Summary The Responsible AI Lab at NFHA envisions a housing system where security, safety, and trust are the cornerstones of every AI-driven decision. Our vision is to ensure that AI systems and tomorrow's innovations in housing promote inclusivity and equity, avoiding discrimination and segregation. Our mission is to enable fair housing through Responsible AI and future technologies by addressing risks, promoting equity, and advancing innovative technologies. We are committed to ensuring that AI systems and emerging technologies in housing adhere to the principles of security, safety, and trustworthiness, preventing discriminatory outcomes and mitigating segregation patterns. We are looking for a Math Science Intern to join the Development unit of our innovative, startup-like RAIL team to help advance our mission. The Intern will contribute to the development and deployment of software solutions that advance the Responsible AI team's mission at NFHA. This role focuses on designing, building, and maintaining frameworks, methodologies and techniques that address the ethical, legal, and societal challenges of AI in housing. The Math Science Intern will work closely with cross-functional teams to implement innovative, secure, and reliable theoretical work into research that promotes equity, ensures compliance with civil and human rights laws, and supports the responsible deployment of AI technologies in the housing sector. We are looking for someone who embraces curiosity and thrives in a dynamic, iterative development environment. We also value team members who question assumptions and excel in adaptive, fast-paced workflows. Visit RAIL microsite to learn more about the team and the core principles that direct the team's work. Essential Job Functions Responsibilities Overview Read theoretical research papers on AI and present the papers to the team . Work with RAIL researchers and engineers to select optimal model and preprocessing workflows to align with experimental needs. Contribute to research methodology development and help align project needs with technical feasibility Assist in manuscript preparation in submission to journals or conferences. Stay updated with the latest advancements in ML and AI to ensure the integration of state-of-the-art techniques. Collaboration Work closely with AI researchers, engineers, and other stakeholders in the organization to align theoretical frameworks with project goals. Participate in agile ceremonies such as sprint planning, stand-ups, and retrospectives to ensure smooth team workflows. Contribute to cross-functional projects. Share insights and lessons learned with the team to foster a culture of continuous improvement. Communication Document technical workflows, processes, and code to ensure knowledge sharing and project continuity. Present updates and results to both technical and non-technical stakeholders. Provide clear and concise explanations of complex technical concepts when discussing research. Actively participate in team discussions, providing constructive feedback and sharing ideas. Qualifications and Competencies Education & Experience: Currently pursuing a degree in Mathematics, Computer Science, Statistics, Physics, Pure Chemistry, or a related field. Coursework: At least four of the following coursework must be completed prior to applying for the internship. Machine Learning Fundamentals - Covers supervised and unsupervised learning, classification, regression, and clustering algorithms, forming the foundation for advanced topics in AI. Deep Learning - Focuses on neural networks, backpropagation, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and frameworks like TensorFlow or PyTorch. Reinforcement Learning - Explores Markov decision processes, dynamic programming, Q-learning, policy gradients, and applications in robotics, game AI, and real-world control systems. Probability and Statistics for Machine Learning - Provides essential knowledge on probability distributions, Bayesian inference, hypothesis testing, and statistical modeling for developing robust machine learning models. Optimization Techniques - Teaches gradient-based and gradient-free optimization methods such as stochastic gradient descent, convex optimization, and their applications in training machine learning models efficiently. Skills: Strong understanding of ML and AI concepts, including algorithms, statistical methods, and theoretical foundations. Adaptability to work with and stay aware of evolving technologies and frameworks. Strong organizational and time-management skills to balance multiple projects and deadlines. Ability to communicate complex technical information to semi-technical or non-technical audiences. Expected Hours and Compensation Minimum 20 hours a week, ideally 30-32 hours a week The internship is for 256 hours with a total compensation of $6,400 The internship is expected to run for 8-10 weeks. Application Process: Interested applicants should submit a resume, two sample writeups, and a cover letter outlining your relevant experience and why you are interested in the position. Applications without any of the required materials will not be considered. No telephone calls, please. This position will remain open until filled. Affirmative Action/Equal Opportunity Statement NFHA values and encourages diversity in its workforce. NFHA supports affirmative action and is dedicated to promoting equal employment opportunities. NFHA does not discriminate on the basis of race, color, religion, national origin, ancestry, citizenship, sex, age, marital status, personal appearance, sexual orientation, family responsibilities, disability, matriculation, political affiliation, or any other category or characteristic protected by the laws of the United States or the District of Columbia.

Optimal is a policy research and data analytics firm that conducts studies and provides technical assistance on entrepreneurship and innovation, education, workforce development, economic development, health care, and related subjects. Our mission is to provide decision makers with rigorous and timely insights that enable our clients to improve public well-being. The Data Scientist intern position would require part-time during the school year and full-time during the summer. Compensation is commensurate with years of education, training, and pertinent experience. General Description Support data scientists, researchers and software developers on projects bridging the gap between research and analytics. Assist in the development of streamlined protocols to systematize workflow. Aid to develop schema, business rules and configuration testing processes. Support efforts with systems management to capture information that can be used for quantitative analysis. Support the development of standardized protocols to manipulate information captured in a fixed format to usable data, using non-traditional data sources like scraping data from social media, mining data from natural language texts, as well as vectorizing images to create analytical dataset to inform policy decisions. Work experience and job skills requirements: Knowledge using data science toolkits, such as R, MatLab, Python, and neural network frameworks such as Torch, Keras, Café, and Tensorfow. Knowledge using data visualization tools, such as D3.js, GGplot, PlotLy, Moicrosoft Power BI, and Tableau. Requirements gathering experience in developing schema, business rules, and test protocols. Knowledge conducting tests for configuring and developing integrated data systems. Experience working with query languages such as SQL. Knowledge of statistics and research methods and experience developing regression models. Experience developing technical documentation for datasets, code, and data products. Excellent verbal and written communication skills. Education Requirements: Enrolled in a bachelor's or Master's degree program in Data Science, Business Analytics, Economics, Applied Mathematics, Applied Statistics, Operations Research, or a related field. To Apply: Please submit your application, including your resume with a cover letter.

The Junior Data Analyst Intern will be responsible for developing, modifying and assisting in the support of several internal database systems and tools. Will troubleshoot existing systems and help develop recommendations, fixes and advancements. Work with experienced professionals who will guide processes. An opportunity to expand your skills and utilize your current knowledge. Job Requirements High School Diploma Enrolled in a current college program Strong IT and Database experience Ability to adapt book knowledge to real-world situations

The Infrastructure Branch of EPA's Drinking Water Protection Division administers the Safe Drinking Water Information System (SDWIS) and provides information analysis and website / outreach support for the Office of Ground Water and Drinking Water (OGWDW). OGWDW leads the Agency's efforts to implement the Safe Drinking Water Act (SDWA) and is responsible for posting documents, creation of drinking water data system outreach materials documentation and in providing technical support and outreach to EPA Regions, states, multi-state organizations and other stakeholders. OGWDW also provides technical advice and guidance to other Federal agencies in the development of policies and regulations. In order to meet our program oversight responsibilities, EPA must track, analyze and report on the primacy agencies drinking water data. Job Description A postgraduate research project training opportunity is currently available at the U.S. Environmental Protection Agency's (EPA) Office of Water (OW). This appointment will be served with the Office of Ground Water and Drinking Water (OGWDW)/Drinking Water Protection Division (DWPD) in Washington, DC. The research participant will be trained in performing drinking water data analyses. He/she will be mentored on use of EPA's internet-based SDWIS reporting tool software (********************************************* to conduct analyses. The participant will also be trained on utilization of software for posting documents, creation of drinking water data system outreach materials documentation and in providing technical support and outreach to EPA Regions, states, multi-state organizations and other stakeholders. Additionally, the participant will be trained to enhance the Internet presence of EPA's drinking water program. The participant will gain experience with a highly dedicated and accomplished team of data analysts and data system managers, as well as with EPA managers and a variety of data analysis and data system customers. This includes interacting with others through the Association of State Drinking Water Administrators and various EPA working groups. This program, administered by ORAU through its contract with the U.S. Department of Energy to manage the Oak Ridge Institute for Science and Education, was established through an interagency agreement between DOE and EPA. Qualifications Applicants must have received a bachelor's or master's degree in environmental science, engineering, public policy, physical sciences, computer science, within five years of the desired starting date, or completion of all requirements for the degree should be expected prior to the starting date. The appointments are full time for one year and may be renewed upon recommendation of EPA and contingent on the availability of funds. The participants will receive a monthly stipend. The annual stipend will range from $44,941 to $54,972 based on educational level. Funding may be made available to reimburse the participants' travel expenses to present the results of their research at scientific conferences. No funding will be made available to cover travel costs for pre-appointment visits, relocation costs, tuition and fees, or health insurance. The participants must show proof of health and medical insurance. The participants do not become EPA employees. The mentor for this project is Renee Morris. The desired start date is January 16, 2017. Additional Information How to Apply: A complete application consists of: An application Transcripts - Click here for detailed information about acceptable transcripts A current resume/CV, including academic history, employment history, relevant experiences, and publication list Two educational or professional references All documents must be in English or include an official English translation. APPLICATIONS FOR THIS INTERNSHIP MUST BE SUBMITTED TO THE ORISE PROGRAM AT: ************************************************ Applications will NOT be accepted via this SmartRecruiters form.

Duration: 10-12 weeks (with potential for extension) HUBZone Residency (REQUIRED). You may determine if an address or a particular area is designated as a HUBZone by using the HUBZone Maps. NexThreat LLC is seeking an analytical and detail-oriented Data Analysis Intern to join our team through the HUBZone Internship Program for Government Contractors. The Data Analysis Intern will engage in data analysis, visualization, and processing, utilizingstate-of-the-art tools and techniques to uncover insights and trends. The ideal candidate has a strong interest in data science, a solid understanding of statistical methods, and excellent problem-solving abilities. Key Responsibilities: - Assist in the collection, cleaning, and organization of large datasets from various sources. - Perform data analysis using statistical methods and software tools to uncover trends, correlations, and insights. - Develop data visualizations and dashboards to effectively communicate findings to both technical and non-technical audiences. - Collaborate with cross-functional teams to identify opportunities for process improvements and data-driven decision-making. - Support ongoing projects and initiatives, contributing to the overall data strategy and goals of NexThreat LLC. Qualifications and Skills: - HUBZone Residency (REQUIRED) Your primary work location and address must be in an area designated as a Historically Underutilized Business Zone (HUBZone). - Currently pursuing or recently completed a degree in Data Science, Statistics, Computer Science, or a related field. - Strong analytical, problem-solving, and critical thinking skills. - Familiarity with statistical methods and programming languages, such as R, Python, or SQL. - Proficiency in data visualization tools, such as Tableau, Power BI, or similar software. - Excellent written and verbal communication skills, with the ability to present complex information clearly and concisely.

Aalis Management Consulting is an 8(a) certified Service-Disabled Veteran-Owned Small Business (SDVOSB) and Economically Disadvantaged Woman-Owned Small Business (EDWOSB) driven by the same principles that guide our armed forces. Founded by a US Army veteran, we take pride in our core values: excellence in reputation, commitment, candor, teamwork, and dependability. Our team delivers stakeholder-focused support in the areas of Acquisition & Procurement Support, (IT) Financial Management, Program Management, and Logistics & Supply Chain Support. Visit us at *************** Title: Active Military Member - Data Analyst Intern (Skillbridge Program) Client: Aalis Management Consulting Location: Remote Number of Position(s): 1 Work Schedule: 8 am - 5 pm Work Day: Monday - Friday Join our dynamic team as a Data Analyst candidate and gain hands-on experience in data analytics, artificial intelligence (AI) technologies, and IT modernization. This program is designed for transitioning service members seeking to expand their technical skills while contributing to impactful projects that drive innovation and efficiency. Responsibilities: Collaborate with our team to support IT modernization initiatives, including system upgrades and process automation. Learn and apply data analytics techniques to extract insights and improve decision-making. Assist in implementing AI technologies to enhance operational performance and innovation. Participate in data integration and management efforts to ensure data accuracy and accessibility. Contribute to the development of dashboards, reports, and visualizations for stakeholders. Work closely with cross-functional teams to identify opportunities for process improvement using emerging technologies. What You'll Gain: Hands-on experience in IT modernization and the integration of cutting-edge technologies. Exposure to data analytics tools, methods, and real-world applications. Knowledge of AI technologies and their practical uses in modern business environments. Opportunities to collaborate with experienced professionals and expand your technical network. Preparation for a seamless transition into civilian roles in data analytics, AI, and IT modernization. Requirements: Currently transitioning from military service and eligible for the SkillBridge program. Interest in data analytics, AI technologies, and IT systems. Strong analytical skills and a desire to learn new technologies. Basic knowledge of IT systems, databases, or programming languages is a plus but not required. Excellent communication and teamwork abilities. Aalis Management Consulting is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

This role is with RippleMatch's partner companies. RippleMatch partners with hundreds of companies looking to hire top talent. About RippleMatch RippleMatch is your AI-powered job matchmaker. Our platform brings opportunities directly to you by matching you with top employers and jobs you are qualified for. Tell us about your strengths and goals - we'll get you interviews! Leading employers such as eBay and Teach For America leverage RippleMatch to build diverse, high-performing teams and Gen Z job seekers across the country trust RippleMatch to launch and grow their careers. Requirements for the role: Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, or a related field. Strong foundational knowledge in statistical analysis, data modeling, and data mining techniques. Proficiency in data analysis tools and programming languages such as Python, R, SQL, or similar. Experience with data visualization tools and software (e.g., Tableau, Power BI, or similar). Ability to interpret complex data sets and provide actionable insights. Excellent problem-solving skills and attention to detail. Effective organizational and time management skills, with the ability to prioritize tasks and manage multiple projects simultaneously. Strong communication and interpersonal skills, with the ability to collaborate effectively with team members. Eagerness to learn and apply new techniques and tools in the field of data analysis.

Please note, participation in this internship opportunity requires enrollment and successful completion of the PHIT4DC 15-week informatics course offered every semester at the University of the District of Columbia (UDC) and Howard University. DC Primary Care Association (DCPCA) is a nonprofit organization dedicated to improving the health of DC's vulnerable residents by ensuring access to high-quality primary care. Our membership includes nine Federally Qualified Health Centers (FQHCs) in the District of Columbia and Maryland, operating nearly 60 primary care delivery sites that serve over 200,000 residents. DCPCA's Health Information Technology (HIT) team is responsible for planning, implementing, and managing technology initiatives that support the healthcare operations of our community health center members. These initiatives include implementing health data exchange strategies, facilitating population health data acquisition, analysis, and reporting, and providing clinical data reporting services to support health centers' Quality Improvement objectives. In this role, we are seeking a student passionate about health information technology and informatics with a strong interest in data analytics in the primary care setting. The ideal candidate brings educational and/or professional experience in health informatics, computer science, public health, or a related field. The Intern will support the HIT team by performing a variety of technical and administrative duties, assisting with data reporting and visualization, database design, analytics, and other responsibilities as needed. Examples of projects students can undertake during the internship: Designing and creating data visualizations using platforms such as Microsoft PowerBI or Tableau. Managing relational database design and schema creation to support health center operations. Analyzing datasets using SQL and other statistical tools to identify trends and insights. Developing and implementing strategies to improve data extraction, quality, and efficiency. Supporting DCPCA's HIT team with reporting on performance indicators and data-driven decision-making processes. QUALIFICATIONS and EDUCATION: Required qualifications and experience: Currently enrolled master's or post-bachelor's degree candidate in a program related to public health, health informatics, information systems, computer science, or a relevant field. Proficiency in SQL programming and data visualization tools (e.g., PowerBI, Tableau). Experience with statistical packages for data analysis (e.g., Microsoft Excel). Strong analytical skills with attention to detail and accuracy in interpreting and presenting data. Strong written and oral communication skills. Ability to work independently and collaboratively in a fast-paced environment with a high volume of tasks. Proficiency in MS Office products, including Word, Excel, PowerPoint, and Outlook Participation in this internship opportunity requires enrollment and completion in the PHIT4DC 15-week informatics course offered every semester at the University of the District of Columbia (UDC) and Howard University. To learn more about the PHIT4DC partnership, visit: Home | PHIT4DC Up-Skilling District of Columbia public health professionals! Preferred Qualifications: Experience in or with a Federally Qualified Health Center (FQHC) COMPENSATION: The intern is expected to complete 20 hours per week; not to exceed more than 400 hours total. The hourly range for this position is between $22 and $25 dollars. Internships are non-exempt positions and are not eligible for employee benefits. ADA SPECIFICATIONS: This position will be based in an office in Washington D.C. and will allow for telework options. This position is primarily sedentary and may require some bending and lifting. Only competitive candidates will be contacted and invited to participate in the selection process. No phone calls please. Applications are accepted until the position is filled.

From Intake to Outcomes, CareMetx is dedicated to supporting the patient journey by providing hub services, innovative technology, and decision-making data to pharmaceutical, biotechnology, and medical device innovators. Job Title: Data Analyst Intern Position Summary: Under the general direction of the Manager of Data Analytics, Director and the Vice President of Hub Operations, the Data Analyst Intern will be responsible for conducting analysis, trending and data mining large sets of data, conducting research, developing data models, data cleansing and blending, data visualization with Tableau, and producing summaries of their analytic findings for management, clients and other team members. The Analyst must demonstrate effective interpersonal and communication skills, have a team orientation, an adaptable nature and the ability to build and maintain strong working relationship. PRIMARY DUTIES AND RESPONSIBILITIES: Interpret data, analyze results using statistical techniques and provide ongoing reports Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality Identify, analyze, and interpret trends or patterns in complex data sets Filter and “clean” data, and review computer reports, printouts, and performance indicators to locate and correct code problems Work closely with management to prioritize business and information needs Locate and define new process improvement opportunities Document and maintain business and functional requirements and ensure persistency Communicate with clients and stakeholders using data to clearly describe a problem or solution Utilize time management skills and multi-tasking capabilities to handle multiple and parallel projects, deliverables while working both independently and collaboratively within a team. Maintain user confidence and protect the business by keeping information confidential. Occasional travel may be required Qualifications Requirements & Minimum Skills: Must be enrolled in an accredited university/college. Excellent communication (written, oral, interpersonal) and grammar skills. Proficient computer skills (Microsoft Office Suite). Self-directed and able to work with minimal supervision. Must be able to maintain a high level of confidentiality. Duration: June 2, 2025 - July 26, 2025 (8-10 weeks) 20-30 hours/week Pay: $18 p/hr EXPERIENCE AND EDUCATIONAL REQUIREMENTS: Bachelor's degree in math, economics, computer science, engineering or management information systems with 1-3 years of experience as an analyst or experience with data management and analytical software tools. Proven working experience as a data analyst Technical expertise regarding data models, database design development, data mining and segmentation techniques Previous data analysis experience and report design using Tableau or similar tool is required. MINIMUM SKILLS, KNOWLEDGE AND ABILITY REQUIREMENTS: Adept at writing complex queries using SQL, report writing/building and presenting findings. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy Experience using Business Intelligence (BI)/statistical packages for analyzing large datasets (Excel, SPSS, SAS Tableau, etc.) SQL-Server experience Demonstrated experience in all phases of data analytics Ability to participate in discussing program data and analysis (attend client meetings to brainstorm and problem-solve on their data needs and questions) Write logical, comprehensive, concise reports, meeting minutes, correspondence; communicate effectively orally and in writing. Well-organized with the ability to manage multiple tasks at once in order to meet demanding deadlines. Proficient in Microsoft Office (Excel, Access, Powerpoint, Word) Proficient in Microsoft Visio, Project and Sharepoint. Demonstrate Creative problem-solving skills, ability to maintain the highest levels of customer satisfaction and a service orientation. Preferred Skills Experience working in a fast-paced startup atmosphere Experience working with and presenting to executive level clients and managers Experience working with large data sets, producing and clearly explaining reports to the end user Experience in the Pharmaceutical, Medical Device or Healthcare industry Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit. The employee must also occasionally lift and/or move up to 10 pounds. Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate. Schedule: Will be determined based on Intern's schedule and departmental needs. CareMetx considers equivalent combinations of experience and education for most jobs. All candidates who believe they possess equivalent experience and education are encouraged to apply. CareMetx is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against based on race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin. Lifelancer ( ********************** ) is a talent-hiring platform in Life Sciences, Pharma and IT. The platform connects talent with opportunities in pharma, biotech, health sciences, healthtech and IT domains. For more details and to find similar roles, please check out the below Lifelancer link. **********************/jobs/view/a3193449af61c78194a20cd4a5dd377d