Senior Data Scientist Jobs in Cambridge, MA

Repertoire Immune Medicines is a biotechnology company working to unlock and direct the remarkable power of the human immune system to treat cancer and autoimmune disease. The company was founded on the belief that understanding the repertoire of T cell receptor (TCR)-antigen immune synapses that maintain health and drive disease represents one of the greatest opportunities for innovation in medical science. Repertoire scientists created and developed the DECODETM platform, which allows in-depth characterization of TCR-antigen pairs, and the ability to deploy this information in the form of novel targeted immune medicines to fundamentally reprogram the immune system to kill tumors or induce immune homeostasis. From its sites in Cambridge, Massachusetts and Zurich, Switzerland, Repertoire's team is advancing a pipeline of DECODE-enabled immune medicines. For cancer, we are developing a pipeline of TCR bispecifics molecules for treatment of multiple cancer types. In addition, we are developing a pipeline of mRNA tolerizing vaccines for treatment of autoimmune diseases. Repertoire was founded by Flagship Pioneering and is supported by a strong investor base. In addition, the company recently entered a strategic partnership with Bristol Myers Squibb to develop tolerizing vaccines for up to three autoimmune diseases. Role Overview Repertoire Immune Medicines is seeking a Data Scientist to join the Computational Science team to enable the discovery of new insights from our extensive and growing immune synapse database. The successful candidate will work at the interface of computational biology, data science, machine learning, and statistics with broad impact across early discovery, candidate development, and biomarker discovery. Key Responsibilities Develop, evaluate, and implement rigorous analytical models and methods as needed for scientific discovery and development. Assist in the conception, development, optimization, and assessment of machine-learning models for understanding the T-cell receptor-peptide-MHC interface. Work alongside computer science engineers, wet-lab scientists, and project managers, contributing to early discovery, lead identification, lead optimization, and biomarker development. Maintain familiarity with scientific literature to assist in the development and benchmarking of new methods. Communicate findings both internally and externally via presentations and publication. Qualifications/Experience PhD in computational biology, machine learning, engineering, statistics, biostatistics, biomedical engineering, cancer biology, immunology, genetics or related field, or Master's with 3+ years experience, and a strong academic record. Demonstrated impact in multi-disciplinary, team-driven scientific projects. Expertise in programming in Python (including e.g. numpy, scipy, pandas, PyTorch, TensorFlow). Additional experience in R is helpful but not required. Expertise in analyzing complex, high-dimensional datasets using scientific and computational best practices to make novel scientific discoveries. Strong publication record. Scientific curiosity and interest in working in a dynamic, rapidly developing field. Background in immunology/immuno-oncology and experience working with single-cell sequencing data is a plus. Repertoire is committed towards social responsibility and developing an inclusive culture. Much as the power of the immune system lies in the diversity of T and B cells, we believe that our work requires the creativity and ingenuity of a diverse workforce, and we are committed to pursuing that in all facets of the work experience at Repertoire. We will continue to educate ourselves about the inequities and barriers present in our society and act as a company where we can make a difference. Repertoire is proud to be an Equal Opportunity Employer. Recruitment & Staffing Agencies: Repertoire Immune Medicines (“Repertoire”) does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Repertoire or its employees is strictly prohibited unless contacted directly by Repertoire's internal Human Resources team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Repertoire, and Repertoire will not owe any referral or other fees with respect thereto.

FM is a leading property insurer of the world's largest businesses, providing more than one third of FORTUNE 1000 size companies with engineering-based risk management and property insurance solutions. FM helps clients maintain continuity in their business operations by drawing upon state-of-the-art loss prevention engineering and research; risk management skills and support services; tailored risk transfer capabilities; and superior financial strength. To do so, we rely on a dynamic, culturally diverse group of employees, working in over 100 countries, in many challenging roles. As an Associate Data Scientist, you will be a key member of our Data Science team, focusing on translating business needs into actionable analytics and advanced AI solutions. This role offers the opportunity to innovate, explore, and build solutions for FM using emerging technologies. Responsibilities: Integrate data from multiple data sources and conduct data preparation tasks to identify and process anomalies. Assist in developing, validating, and deploying data science models. Present and explain findings and results in a clear and understandable manner for business stakeholders. Your projects will be interesting, exciting, and challenging! You will use data science to advance the mission and goals of FM. Master's degree in Statistics, Computer Science, Data Science, Operations Research, or a related field. At least one year of experience with predictive or prescriptive analysis projects. Three years+ of experience in data processing, statistical analysis, and modeling using tools such as Python and R. Three years+ of experience processing large datasets using SQL or similar tools. Advanced knowledge and working experience in one of the following fields: Generalized Linear Models (Logistic Regression, Zero-Inflated Model, etc.) Model Regularization Probability Distributions Hypothesis Testing Machine Learning (Random Forest, Clustering, Gradient Descent, Gradient Boosting, etc.) Simulation Optimization Strong preference for candidates with working experience in cloud platforms such as Databricks. The final salary offer will vary based on geographic location, individual education, skills, and experience. The position is eligible to participate in FMs comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, time off allowances and much more. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce. #FMG #LI-TA1 RequiredPreferredJob Industries Other

Essential Duties and Functions Analyze data: assessing quality, profiling, cleansing, exploratory data analysis and the transformation of large and complex datasets to be utilized for developing the statistical models. Understand business use case requirements and develop appropriate machine learning algorithms to provide solutions to the business problems. Design and develop different statistical modeling techniques such as regression, classification models, anomaly detection models, clustering models, deep learning models and feature reduction etc. to derive actionable insights. Build, test, validate models through various relevant methodologies, error metrics and calibration techniques. Develop and maintain data visualizations to communicate insights and recommendations to stakeholders. Work with cloud analytic platforms on AWS/ Azure using PySpark, Sagemaker, Snowflake, Azure Synapse Analytics, etc. Perform multiple tasks and deal with changing deadline requirements. This includes knowing when to escalate issues. Maintain a focused, flexible, organized, proactive and positive behavior and approach. Proactively provide recommendations to the business based on the insights derived from data science modeling techniques to resolve business problems. Communicate data science models' complex results and the insights to the non-technical audiences. Interact with cross-functional technical teams and multiple business stakeholders to support integration of data science solutions into the business processes. Developed and implemented Gen AI use cases Experience, Qualifications, Knowledge, and Skills Master's or PhD degree in Computer Science, Statistics, Mathematics, or a related field preferred. 3+ years of experience in data science, machine learning, or a related field. Proficiency in programming languages such as Python, R, or Java. Experience with statistical analysis and modeling. Experience with data visualization tools such as Tableau or Power BI. Experience with database technologies such as SQL, NoSQL, or MongoDB. Strong problem-solving skills and the ability to analyze complex data sets. Excellent communication skills and the ability to present technical concepts to non-technical stakeholders. Gen AI experience is a must Location and Workplace Flexibility: We have offices in Atlanta GA, Boston MA, Morristown NJ, Plano TX, St. Louis MO, St. Petersburg FL, and Hyderabad, India. We foster a hybrid and remote friendly culture and all of our employee's work locations are based on the needs of the position and determined by the Leadership team. In-office work and activities, if applicable, vary based on the work and team objectives in accordance with Company policies. Zelis is modernizing the healthcare financial experience by providing a connected platform that bridges the gaps and aligns interests across payers, providers, and healthcare consumers. This platform serves more than 750 payers, including the top 5 national health plans, BCBS insurers, regional health plans, TPAs and self-insured employers, and millions of healthcare providers and consumers. Zelis sees across the system to identify, optimize, and solve problems holistically with technology built by healthcare experts - driving real, measurable results for clients. Commitment to Diversity, Equity,Inclusion, and Belonging At Zelis, we champion diversity, equity, inclusion, and belonging in all aspects of our operations. We embrace the power of diversity and create an environment where people can bring their authentic and best selves to work. We know that a sense of belonging is key not only to your success at Zelis, but also to your ability to bring your best each day. Equal Employment Opportunity Zelis is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We encourage members of traditionally underrepresented communities to apply, even if you do not believe you 100% fit the qualifications of the position, including women, LGBTQIA people, people of color, and people with disabilities. Accessibility Support We are dedicated to ensuring our application process is accessible to all candidates. If you are a qualified individual with a disability or a disabled veteran and require a reasonable accommodation with any part of the application and/or interview process, please email ***************************. SCAM ALERT: There is an active nationwide employment scam which is now using Zelis to garner personal information or financial scams. This site is secure, and any applications made here are with our legitimate partner. If you're contacted by a Zelis Recruiter, please ensure whomever is contacting you truly represents Zelis Healthcare. We will never asked for the exchange of any money or credit card details during the recruitment process. Please be aware of any suspicious email activity from people who could be pretending to be recruiters or senior professionals at Zelis. RequiredPreferredJob Industries Other

Candidate Profile: Data modeling Experience- Erwin or Power Designer Data mapping / data taxonomy SQL knowledge Snowflake Nice to Have Data Governance- rules and conditions of what data can be accessed. Nice to Have: Collibra or Alation experience Need good soft skills- will be collaborating across many teams The Expertise and Skills You Bring Bachelor's or master's degree in computer/data science technical or related experience 8+ years of experience hands-on relational, dimensional, and/or analytic experience. Python knowledge is a plus Strong SQL knowledge and work experience with databases such as Oracle, PostgreSQL, Snowflake, Teradata Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required. Demonstrated, hands-on data modeling, ER diagram` and enterprise software design experience for OLTP (relational) and analytical systems Good knowledge of data modeling principles and standard methodologies including a good understanding of semantic data modeling concepts and multi-Fact model Ability to define data modelling standards and guidelines as well help teams adopt complex large-scale & global data driven implementations Strong experience in data modelling activities supporting history handling time series data warehousing & data transformations Ability to quickly grasp technological, business concepts, key domain and entities Strong verbal and written communication skills; experience communicating with engineers, architects and product management to explain technical and functional concepts Ability to assess the accuracy completeness and consistency of data models as well as maintaining relevant documentation Experience with Alation, Collibra to drive data cataloging and data lineage Strong understanding of data governance processes and metadata repositories Experience of working with Data Governance team to identify and capturing business and technical metadata associated with various data entities Experience and desire to work within a fast-paced environment with short release cycles and an iterative development methodology. Able to work on multiple projects/products simultaneously and comfortable working with minimal specifications. Excellent communication and documentation skills

Job Title: Data Scientist II- Bioinformatics Duration: 06+ Months We seek a talented and highly motivated Data Scientist to join our expanding Spatial omics team within the Discovery Immunology Pathology group. The successful candidate will develop and apply computational methods for the analysis of image-based spatial omics datasets, including the integration of multi-modal omics data and data interpretation in order to derive novel biological insights, identify disease biomarkers and new therapeutic targets. The successful candidate will be part of a unique multidisciplinary team working closely with pathologists, image analysts, and research scientists across the organization in a highly dynamic and collaborative environment to support pathology driven spatial omics projects that contribute to innovative drug discovery research. Key Responsibilities: Design, develop and implement computational pipelines for processing and analyzing spatial omics datasets, including spatial transcriptomics and proteomics. Collaborate with pathologists and image analysts to develop methods to integrate and analyze spatial transcriptomics data with other spatial modalities, such as IHC or mIF Collaborate with pathologists to validate spatial analysis tools in the context of tissue structure to ensure accuracy and reproducibility Ensure scalability and efficiency of the pipelines to handle large and complex datasets Lead the development of data visualization tools to effectively communicate findings to both technical and non-technical stakeholders. Stay current with emerging trends and technologies in spatial omics and bioinformatics, and assess their applicability to ongoing projects. Generate concise reports and accurately document project details, algorithms and results in electronic laboratory notebook Qualifications: Ph.D. (or equivalent experience) in Computational Biology, Bioinformatics, Systems Biology, or a related field. Background in life sciences or experience in the pharmaceutical industry preferred. Strong proficiency in programming languages such as Python, R, or MATLAB, and relevant data science libraries (such as NumPy, Pandas, Matplotlib, Scikit-learn, etc.) for data analysis, manipulation, and visualization. Experience with bioinformatics tools and databases, especially those pertinent to omics data analysis such as Squidpy or Scanpy Excellent analytical, problem-solving, and communication skills. Ability to work independently and as part of a team, managing multiple projects simultaneously. Preferred Qualifications: Familiarity with digital pathology image analysis platforms (Visopharm and Qupath) and spatial omics analytic platforms (BioTuring) Experience with machine learning frameworks and data visualization tools. Familiarity with cloud-based (AWS) and high-performance computing environments About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit ************************ US Tech Solutions is an Equal Opportunity Employer. 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. Recruiter's Details: Name: Rahul Lahiri Email ID: ***********************************

The Expertise and Skills You Bring · Bachelor's or Masters in Computer Science, Computer Engineering, Software Engineering, or equivalent is required. · 8+ years of experience in the domain of data engineering · Deep expertise in Oracle PL/SQL (complex queries, stored procedures, performance tuning, and materialized views) · Recent experience using ETL tools (Informatica preferred) · Demonstrable experience testing PL/SQL stored procedures, ETL jobs, and other data transformations. · Experience writing database change management (CI/CD) using Liquibase or similar tools. · Experience using Python as part of ETL or data analysis is very helpful · Experience with Agile software development processes and practices like code review, automated testing, and CI/CD Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals. Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit ******************* to learn more. Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

Title: Data Engineer Lead Reports to: VP of Data Analytics Job Type: Remote or hybrid (We're built to work from anywhere) (we do not offer C2C or C2H positions) Status: Full-Time About At Prendio-BioProcure, we are dedicated to helping scientists and biotech researchers develop novel therapies and cure diseases as quickly and cost-effectively as possible. Our software enables scientists to find, select, order, and obtain the products and services they need to support their research, highly efficiently and at lower cost. Our services allow biotech companies to leverage best-in-class procurement and accounts payable teams in a turn-key fashion, benefiting from decades of experience and expertise. As a result, biotechs can focus on science and improve their opportunity to bring therapies to market. We are building a company of driven team players who are intellectually curious, eager to learn and pursue growth, and have the stamina to make an impact in our fast-paced environment. We value high-performance teams that are built around the following competencies: Innovative: We believe that rethinking the status quo is imperative and that new ideas can and should come from everyone on the team. Collaborative: Every interaction, whether with a client or a colleague, should be impactful, and respectful and leave them excited to deal with you again. Execution-Oriented and Accountable: The kind of change that is necessary will not come without breaking a few eggs, so we have the courage to be adventurous and try new things, but we also admit when something is not working, own it and do it better the next time. Job Summary Prendio is seeking a dynamic and highly skilled Data Engineer Lead to become the technical owner of our data platform. In this pivotal role, you will manage the infrastructure and tools that power our data-driven decision-making, ensuring exceptional access, uptime, and performance. If you thrive in a fast-paced, high-performance culture and excel in navigating complex challenges with adaptability, resilience, and a passion for learning, this role is designed for you. Prendio's high-growth environment rewards those who are eager to push boundaries and embrace innovation. While the expectations are high, the opportunities for impact and professional growth are unparalleled for the right candidate. Role & Responsibilities Develop data integrations and robust data pipelines to support BI reporting, advanced analytics, and AI/ML initiatives. Design and document data models, data flows, and data architectures that are scalable and future-proof. Mentor and guide junior data engineers, fostering a culture of collaboration, innovation, and continuous learning. Partner with product managers, software engineers, data scientists, and analysts to scope and implement technical solutions that address complex business challenges. Requirements and skills Proven expertise in developing and managing data warehouses and related technologies; experience with Snowflake is a significant plus. Hands-on experience in designing and maintaining ETL/ELT pipelines and data integrations. Proficiency in Pythonand SQL, with a strong foundation in data engineering best practices. Experience with dbt(a plus) and operating within an AWS environment (preferred). A demonstrated track record of delivering complex analytical use cases that drive business value. Familiarity with AI/ML use cases is advantageous. Exceptional adaptability, problem Benefits: Blue Cross Blue Shield Health Insurance - 100% of employee premiums paid BCBS Dental insurance - 100% of employee premiums paid VSP Vision Coverage Flexible Spending Account Healthcare Health savings account with employer contribution 401K/Roth 401k Paid holidays Paid vacation/Unlimited PTO Other benefits, including a complimentary subscription to the Calm app, pet insurance, legal assistance and more Website - ******************** Advancement within BioProcure/Prendio is based on manager discretion and other company considerations. This job description does NOT constitute an employment agreement between the employer and employee and is subject to change by the employer as the organizational needs and requirements of the job change.

Snowflake Developer will be proficient with data platform architecture, design, data dictionaries, multi-dimensional models, objects, star Snowflake schemas and structures for data lakes, data science and data warehouses using Snowflake. Responsibilities will also include technical delivery review, resolution of architecture issues and for the migration of the existing on-premises application to AWS/Azure Snowflake platform. Must have Skill: The right tech stack of skills Snowflake, AWS batch, Scripting (Shell, Python), Advanced SQL, Linux, Job Scheduling Database fundamentals / knowledge, ETL/ELT, batch concepts, data security and controls, automation techniques Proven ability to understand data, convert requirements into clean designs, collaboration with analysts, architects, and DBAs

W2 Only role. Data Engineer (Must have Databricks) Need Mid level (3-5Yrs) Key Skill: Strong Databricks, AWS, Apache Spark, SQL, Scala/Python, Hadoop Skill Sets Required Good decision-making and problem solving skills Solid understanding of Databricks fundamentals/architecture and have hands on experience in setting up Databricks cluster, working in Databricks modules (Data Engineering and SQL warehouse). Solid Knowledge on medallion architecture, DLT and unity catalog within Databricks. Experience in migrating data from on-prem Hadoop to Databricks/AWS Understanding of core AWS services, uses, and AWS architecture best practices Hands-on experience in different domains, like database architecture, business intelligence, machine learning, advanced analytics, big data, etc. Solid knowledge on Airflow Solid knowledge on CI/CD pipeline in AWS technologies Application migration of RDBMS, java/python applications, model code, Opensearch etc. Solid programming background on scala and/or python with Spark Experience with Docker and Kubernetes is a plus

The Role The Data Modeler works closely with business and technical teams to drive the creation of scalable, flexible, well governed, and detailed data design solutions. They drive adoption of enterprise and industry standard modeling methodologies. They partner with project teams to deliver practical & resilient data model designs that meet current business needs and are capable of easily adapting to new needs in the future. The Expertise and Skills You Bring Requirements and Analysis Engage with business and technology partners to understand the business requirements, analyze the data gaps, and recommend appropriate solutions. Assess objectives, use cases, data requirements and specifications documents created by other analysts. Analyze and resolve major data issues that arise during the course of projects or in production environments. Data Design Define conceptual and logical data models, with strong definitions, to capture organizational data needs across multiple subject areas. Build physical design for various types of systems such as operational systems, data warehouses, data lakes and others. Actively perform dedicated and targeted data analysis to identify risks for management. Strong coordination with key business partners will be required to obtain data sets and confirm results of the analysis. Document database solutions and present solutions to product partners, project teams, Data Engineering team and architecture review boards. Passionate about technology and delivering solutions in integrated data environments. Current on event driven processing, and Data API developments. Lead and facilitate work sessions with business functions and projects to define requirements, business term definitions and logical data models Map Technical terms to Business terms in data catalog tool. Technical Leadership Provide strategy, data modeling with accountability on work initiative engagements and timeline. Align and ensure consistency to enterprise standards on technology, tools, and procedures. Knowledge of and experience with tools, techniques and processes for complex data gathering, analysis and reporting on data for large organizations. Find opportunities to use enterprise data models for new projects to minimize work and data duplication Strong interest in playing a technical data steward role and partnering across our business to understand and document our data, appropriate data usages and helping Asset Mgmt. derive the maximum value from its data. Qualifications Education and Experience (dependent on level) A Bachelor's or Master's degree in Computer Science, Information Technology, or equivalent experience 10+ years' experience with data design, analysis, and development. Development experience weighted towards PL/SQL and ETL tools. Demonstrated experience in the following areas : Database Management Systems, Data API design and implementation, PL/SQL, warehouses, data modeling and data profiling. Skills and Knowledge Demonstrable experience with SAP Power Designer or similar data modeling tool required. Advanced analytical and problem solving skills. Advanced understanding of the database development process including analysis, design, coding, testing, problem resolution and planning, and full competency in all relevant coding environments, languages, tools, and platforms Outstanding interpersonal skills and strong verbal and written skills to effectively communicate with technical and non-technical associates in the company Proven interpersonal skills, including the ability to work across the organization and interact/influence/negotiate optimally at all levels of management and peers. Experience in working in data management / governance with an understanding on how data is ingested, stored, and maintained. Understanding of principles and standard methodologies around Data Architecture Ability to prioritize data analysis initiatives based on business criticality. Experience in the financial services industry area a plus Knowledge in cryptocurrency area a plus. The Team Asset Management Technology is seeking a Principal level candidate in the data analysis and data modeling organization. The successful candidate will be responsible for leading data modeling and analysis across different projects with diverse scope and complex business and technical requirements in a highly integrated data environment. This role requires working autonomously and under consultative direction for achieving organizational strategic data goals. This is a key role in leading the development of high-quality data model, working as part of a team that helps to deliver data as a key asset for the enterprise. You must be comfortable working in a fast paced and highly ambiguous agile environment where there is a focus on timely delivery of data analysis, data models and other data artifacts. Company Overview Fidelity TalentSource is the in-house temporary staffing provider for Fidelity Investments, one of the largest and most diversified global financial services firms in the industry. We welcome individuals from all backgrounds, including technology and customer service, to fill assignments across Fidelity's U.S.-based regional and investor center locations. If you would like to experience Fidelity's supportive and collaborative culture while expanding your skill set and developing your professional network, consider a role with Fidelity TalentSource. Apply today at FTSJobs.com. We believe that the most effective way to attract, develop and retain a diverse workforce is to build an enduring culture of inclusion and belonging. Fidelity TalentSource will reasonably accommodate applicants with disabilities who need adjustments to participate in the application or interview process. To initiate a request for an accommodation, please contact our HR team at ***************. Information about Fidelity investments At Fidelity Investments, our customers are at the heart of everything we do. As a privately held company with a rich 75-year history, our mission has remained the same since our founding: to strengthen the financial well-being of our clients. We help people invest and plan for their future. We assist companies and non-profit organizations in delivering benefits to their employees. And we provide institutions and independent advisors with investment and technology solutions to help invest their own clients' money. For information about working at Fidelity, visit FidelityCareers.com. Fidelity TalentSource's working model blends the best of working offsite with maximizing time together in person to meet associate and business needs. Currently, most hybrid roles require associates to work onsite all business days of one assigned week per four-week period (beginning in September 2024, the requirement will be two full assigned weeks). Fidelity Investments and Fidelity TalentSource are equal opportunity employers.

Key Responsibilities: Design and implement robust computational and statistical methods to analyze large scale proteomics and metabolomics datasets. Develop automated data processing pipelines in collaboration with our cloud infrastructure team. Establish tools for the analysis, visualization, and reporting data in collaboration with scientists and other stakeholders. Collaborate closely with our chemoproteomics, synthetic biology, and metabolomics teams to identify and build enabling solutions. Integrate in-house datasets with public resources (GNPS, BioPlex, DepMap, etc.) to better understand disease biology and drive drug discovery programs. Qualifications: Ph.D. with 1+ years or M.S. with 3+ years of relevant data science and software development experience High level of proficiency in programming languages such as Python and/or R. Experience working with biological and mass spectrometry data types including chemoproteomics, proteomics, metabolomics, and natural product structures Experience applying statistical and machine learning methods Extremely collaborative, innovative, and driven to add value to diverse projects

CAMP Systems is the leading provider of aircraft compliance and health management services to the global business aviation industry. CAMP is the pre-eminent brand in its industry and is the exclusive recommended service provider for nearly all business aircraft manufacturers in the world. Our services are delivered through a “SaaS plus” model and we support over 20,000 aircraft on our maintenance tracking platform and over 31,000 engines on our engine health monitoring platform. Additionally, CAMP provides shop floor management ERP systems to over 1,300 aircraft maintenance facilities and parts suppliers around the world. CAMP has grown from a single location company in 2001, to over 1,600 employees in 13 locations around the world. CAMP's relationships with business aircraft manufacturers, aircraft maintenance facilities, and parts suppliers place it in a unique position to understand how current offline information flows in the business aviation industry to introduce friction to the global market for business aviation parts and services. CAMP is building a digital business that will streamline the exchange of parts and services and create substantial value for both CAMP and the aviation industry at large. CAMP is an exciting company to work for, not only because of its future growth prospects, but also because of its culture. Smart, motivated people, who want to take the initiative, are given the opportunity and freedom to make things happen. CAMP is part of the Hearst Transportation Division. Job Summary CAMP Systems is a global leader in delivering innovative technology solutions that have transformed the Aviation Industry for the past few decades. Building on our legacy of innovation, we've launched our AI Solutions division to pioneer the next generation of intelligent applications. Our new AI Solutions division combines CAMP Systems' deep industry expertise with cutting-edge artificial intelligence to create transformative products for our customers. We're building a diverse portfolio of AI solutions that address complex industry challenges while setting new standards for innovation in the aviation Industry. Our team unites self-motivated professionals who thrive on solving difficult problems and pushing technological boundaries. As a member of the core team, you'll have the unique opportunity to shape both our product roadmap and team culture, while working with the latest AI technologies. We are seeking a talented and experienced Senior Data Engineer to join our dynamic team. The ideal candidate will have 8-10 years of experience in building production quality Data pipelines utilizing data extraction tools such as Talend, Informatica and data warehouse platforms such as Snowflake, Redshift. Strong experience with relational databases (such as Oracle), data modeling and SQL required. Responsibilities • Design, develop, and maintain, high performance, scalable, high volume and efficient ETL/ELT pipelines to extract, transform, and load data from various sources such as Oracle • Create and optimize data models and schemas to support various use cases (such as AI/ML solutions, Benchmarking, customer data delivery) in Snowflake, Redshift • Ensure data quality, integrity/completeness, and governance by implementing best practices for monitoring and validation. Build automated monitoring and alerting mechanisms • Collaborate with cross-functional teams to understand data requirements to support business objectives • Stay up to date with emerging trends and technologies in data engineering Requirements • 8-10 years of experience in building and maintaining ETL/ELT data pipelines using tools such as Informatica, Pentaho Data Integration, or other third-party tools • 5+ years of hands-on experience with relational databases such as Oracle and data modeling • Strong programming skills in Python, SQL, or Scala • 3+ years of experience on data warehouse platforms such as Snowflake, RedShift • Familiarity with data governance, security, and compliance best practices • Keen eye for data accuracy, completeness and privacy • Familiarity with cloud services, such as AWS, Azure • Familiarity with version control systems (e.g., Git), JIRA, Confluence • Experience in delivering customer facing SaaS solutions • Bachelor's degree in computer science, Engineering, or a related field, or equivalent practical experience • Strong problem-solving skills and the ability to optimize data processing workflows • Excellent verbal and written communication and teamwork skills Desired Skills • Experience with AI and machine learning applications • Understanding of containerization technologies like Docker • Knowledge of CI/CD pipelines and DevOps practices Benefits • Competitive salary and benefits package. • Opportunity to work on cutting-edge technologies and innovative projects. • Collaborative and inclusive work environment. • Professional development and growth opportunities. CAMP is committed to creating a diverse environment and is proud to be an affirmative action and equal opportunity employer. We understand the value of diversity and its impact on a high-performance culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. CAMP is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, please contact ******************. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity, disability or veteran status EOE

The application window is expected to close on 3/21/25. However, this job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Preference is to consider Hybrid/Remote for the following locations: Boston MA, Atlanta GA, Fulton MD, Research Triangle Park NC Cisco is the worldwide leader in IT, networking, and cybersecurity solutions. We help companies of all sizes transform how people connect, communicate, and collaborate. Our technology is changing the nature of work and the way we live. We are pioneers and have been since the early days of connectivity. Today, we are building teams that are expanding our technology solutions in the security, cloud, and more. Meet the Team At Cisco Identity Intelligence, we're on a mission to protect organizations and their employees from cyberattacks by deeply understanding and managing user identities across an organization's network and applications. By utilizing advanced analytics, we aim to identify and mitigate risks before they can compromise security. Our team is data-driven, startup-like, and rapidly evolving, constantly pushing the boundaries of what's possible in identity and security. We're looking for a Senior Data Scientist to help drive our vision of secure, intelligent systems that protect organizations at scale. If you're passionate about the intersection of data science, AI, and cybersecurity, and want to be part of a high-impact team, we'd love for you to join us in building the next generation of identity security. Your Impact * Develop Actionable Insights: Leverage different analytical methodologies, frameworks, and technical approaches to improve our existing detection mechanisms and risk-scoring systems. Your work will directly drive greater efficiency and more accurate threat identification. * Collaborate with Cross-Functional Teams: Work alongside product, engineering, and technical marketing leaders to shape the strategy, influence product decisions, and drive execution. Your data-driven insights will inform and impact the product roadmap. * Design & Run Experiments: Design and implement experiments to optimize customer's security posture. You'll ensure that we're always ahead of evolving threats and continuously improving our internal processes. * Automate Threat Detection Models: Develop methods and machine learning models to automate security detections and address new adversarial techniques, tactics, and procedures (TTPs). * Ad-Hoc Customer Support: Provide ad-hoc support by answering customer questions and actively participating in security incident analyses. Help customers understand and respond to security incidents, offering insights from your data-driven perspective. * Measure Success: Use forecasting and key product metrics to measure the success of our efforts. Track trends and identify areas for improvement in both the security domain and internal processes, ensuring we're making an impact where it matters. Minimum Qualifications * 5+ years of experience in data science and/or data analytics with Bachelor's degree in Operations Research, Computer Science, Applied Math, Statistics, Engineering or other technical field * 3+ years of industry experience using big data query/processing languages such as SQL to transform/manipulate large datasets. * 3+ years of industry experience in Security, Trust & Safety, Integrity, Fraud, or a related field Preferred Qualifications * Experience with tools like SageMaker, Snowflake and coding languages like Python or R * Experience leading and building project areas from scratch as an individual contributor * An advanced degree in a technical/STEM field of study. Why Cisco Secure We're global, we're adaptable, we're diverse, and our security portfolio is as extensive as it is groundbreaking. Have you heard of Threat, Detection & Response, Zero Trust by Duo, Common Services Engineering, or Cloud & Network Security? Those are only a few of our product teams! The only thing we're missing is YOU. Join an enterprise security leader with a start-up culture, committed to driving innovation and giving you the opportunity to make an impact. We #InnovateToWin and we know we're better together, that's why we're dedicated to inclusivity, collaboration, and diversity in everything we do. We're proud to be the Best Small and Mid-Size Enterprises Security Solution Cisco Secure continues to grow and evolve year after year with 100% of Fortune 100 Companies using our products, and we're excited to see the new heights we'll reach with your passion for security, your customer focus, and your desire to change things up! There are so many amazing reasons to join Cisco. Learn more [1] here! References Visible links 1. ************************************************************* Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.

Company: The mission of Well (********************* is to transform healthcare through our unique impact to our members' health and happiness. We do this through our differentiated consumer experience and world-class data and analytics engine that drive engagement and behavior change. Our product -- a consumer health engagement platform -- integrates concierge services, behavioral health, telemedicine, care management and wellness services to drive sustained engagement, lower costs and improve the health of members. In addition to our product, we know our team makes us unique. We're a highly diverse and engaged organization whose employees are passionate about the mission of the company and whose management is passionate about the employees. We promote an employee- and member-centric culture with generous benefits, which you can learn more about here: **************************** Position Title: Data Scientist (Health Outcomes) Reporting to: Vice President, Health Outcomes Location: Chapel Hill, NC; Newton, MA or Minneapolis, MN; New York, NY Compensation: $125,000 - $145,000 (Data Scientist 3 - Senior Data Scientist 1), depending on qualifications, plus bonus potential and benefits Position Summary: We're looking for a Data Scientist to join our Health Outcomes and Business Intelligence team. As a member of this team, you will be responsible for building and maintaining our data infrastructure for analyzing healthcare costs using administrative claims data. You will maintain industry standard healthcare analytics tools as well as develop innovative techniques for surfacing insights and opportunities. Key Responsibilities: * Develop infrastructure to continuously monitor trends and identify opportunities in healthcare costs via administrative claims data using machine learning, business intelligence tools, statistics and artificial intelligence * Apply classification systems (e.g. NYU non emergent algorithm) and tools to administrative claims data to leverage and scale existing data and generate insights * Synthesize qualitative and quantitative information from administrative claims data, in addition to a wide range of disparate data sources including product data, academic literature, clinical trial results, and market research * Collaborate with cross-functional teams to contribute to and meet business objectives * Take personal responsibility for keeping all Well systems and data, including sensitive member data, secure and safe, according to Well data and security policies and HIPAA guidelines Preferred Qualifications: * Work/industry experience in healthcare analytics, real world evidence, or related field developing infrastructure and leveraging administrative claims data to generate insights from complex healthcare data * Knowledge of administrative claims data (CPT codes, ICD-10 codes), healthcare costs, and healthcare field * Advanced SQL skills with experience standardizing queries and building data infrastructure involving large-scale relational datasets * Knowledge of software engineering best practices like version control, naming conventions, and continuous integration to the analytics code base * Experience with analytic tools/programming languages (R, Python, Stata) and working knowledge of statistics, causal inference, and machine learning * Ability to organize, prioritize, plan, and execute multiple work streams concurrently and across teams * Great communication and collaboration skills. Ability to communicate technical concepts to non-technical audiences. Additional Job Information Well is on a mission to redefine the healthcare experience. This is an opportunity to re-shape healthcare for America. We are developing solutions to improve the quality and affordability of healthcare. We welcome team members who are passionate about that mission. We embrace diversity and are committed to building an inclusive team. All qualified applicants will be eagerly considered for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level through a deeper understanding of their bodies and daily lives. As a Senior Data Scientist, you'll lead development of technology at the core of the business. You'll create, improve, and maintain algorithms that uncover meaningful insights using WHOOP data, including wearable metrics, survey responses, and ground-truth data. As part of our production data science team, you'll work with MLOps engineers to create and maintain robust services to host the insights services. You'll partner with the product team to conduct research and identify new opportunities where we can leverage our large datasets to surface novel insights. RESPONSIBILITIES: * Build statistical models using techniques such as causal modeling and mediation analysis to provide members with insights about how their behavior affects their WHOOP metrics * Work with Data Engineers to improve data pipelining, tooling for machine learning, and systems for quality and validation * Work with MLOps Engineers to build robust, scalable, and efficient machine learning pipelines for deployment and continuous improvement * Conduct research on the use of wearable sensors to analyze primary and secondary end-points derived from metrics and the implications of this analysis on overall health of the user * Design data collection studies to improve inference of health insights and demonstrate the efficacy of WHOOP coaching in improving member health * Periodically serve as the on-call data scientist to respond in real time to incidents affecting production services QUALIFICATIONS: * Bachelor's Degree in Statistics, Data Science, Applied Mathematics, Computer Science or a related field (Master's preferred) * 5+ years of full-time professional experience in a related area * 5+ years experience applying advanced machine learning and statistical techniques * Significant experience working with time series data, causal modeling, probabilistic methods * Proficiency in scientific Python and SQL * Experience deploying services and maintaining live code through logging and monitoring within a production environment * Excellent verbal and written communication skills * Preferred Qualifications: Experience in software engineering, including the development, deployment, and maintenance of production-quality software. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

FM is a leading property insurer of the world's largest businesses, providing more than one third of FORTUNE 1000 size companies with engineering-based risk management and property insurance solutions. FM helps clients maintain continuity in their business operations by drawing upon state-of-the-art loss prevention engineering and research; risk management skills and support services; tailored risk transfer capabilities; and superior financial strength. To do so, we rely on a dynamic, culturally diverse group of employees, working in over 100 countries, in many challenging roles. As an Associate Data Scientist, you will be a key member of our Data Science team, focusing on translating business needs into actionable analytics and advanced AI solutions. This role offers the opportunity to innovate, explore, and build solutions for FM using emerging technologies. Responsibilities: Integrate data from multiple data sources and conduct data preparation tasks to identify and process anomalies. Assist in developing, validating, and deploying data science models. Present and explain findings and results in a clear and understandable manner for business stakeholders. Your projects will be interesting, exciting, and challenging! You will use data science to advance the mission and goals of FM. Master's degree in Statistics, Computer Science, Data Science, Operations Research, or a related field. At least one year of experience with predictive or prescriptive analysis projects. Three years+ of experience in data processing, statistical analysis, and modeling using tools such as Python and R. Three years+ of experience processing large datasets using SQL or similar tools. Advanced knowledge and working experience in one of the following fields: Generalized Linear Models (Logistic Regression, Zero-Inflated Model, etc.) Model Regularization Probability Distributions Hypothesis Testing Machine Learning (Random Forest, Clustering, Gradient Descent, Gradient Boosting, etc.) Simulation Optimization Strong preference for candidates with working experience in cloud platforms such as Databricks. The final salary offer will vary based on geographic location, individual education, skills, and experience. The position is eligible to participate in FMs comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, time off allowances and much more. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce. #FMG #LI-TA1 RequiredPreferredJob Industries Other

Bachelor's or Master's Degree in a technology related field (e.g. Engineering, Computer Science, etc.) required with 5+ years of experience. Advanced SQL/PLSQL knowledge. 2+ years of Python development. Experience with Unix scripting and scheduling tools. Good experience in working with AWS or similar Cloud Technologies. Strong data modeling skills doing either Dimensional or Data Vault models. Proven data analysis skills. Experience working with snowflake database is a plus. Hands-on experience on SQL query optimization and tuning to improve performance is desirable. Hands-on experience with ETL tool like Informatica is a desirable Working experience with some or all the following: AWS, Containerization, associated build, and deployment CI/CD pipelines. Experience with DevOps, Continuous Integration and Continuous Delivery (Jenkins, Stash, Concourse, Artifactory). Experience in Agile methodologies (Kanban and SCRUM) is a plus. Proven track record to handle ambiguity and work in fast paced environment. Good interpersonal skills to work with multiple teams in the organization. Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals. Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit ******************* to learn more. Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

______________________________________________ONLY W2 ________________________________________________ Data Engineer - ONLY W2 Long Term Project Client: Direct The Expertise and Skills You Bring Bachelor's or Master's Degree in a technology related field (e.g. Engineering, Computer Science, etc.) required with 5+ years of experience. Advanced SQL/PLSQL knowledge. 2+ years of Python development. Experience with Unix scripting and scheduling tools. Good experience in working with AWS or similar Cloud Technologies. Strong data modeling skills doing either Dimensional or Data Vault models. Proven data analysis skills. Experience working with snowflake database is a plus. Hands-on experience on SQL query optimization and tuning to improve performance is desirable. Hands-on experience with ETL tool like Informatica is a desirable Working experience with some or all the following: AWS, Containerization, associated build, and deployment CI/CD pipelines. Experience with DevOps, Continuous Integration and Continuous Delivery (Jenkins, Stash, Concourse, Artifactory). Experience in Agile methodologies (Kanban and SCRUM) is a plus. Proven track record to handle ambiguity and work in fast paced environment. Good interpersonal skills to work with multiple teams in the organization.

We are looking for a Senior Snowflake Data Engineer for our Zelis Data Cloud in Snowflake as part of our Zelis Data & AI Fabric to help in the below. Build High level technical design both for Streaming and batch processing systems Design and implement data model changes that align with warehouse dimensional modeling standards. Proficient in Data Lake, Data Warehouse Concepts and Dimensional Data Model Design and build reusable components, frameworks and libraries at scale to support analytics data products Perform POCs on new technology, architecture patterns Design and implement product features in collaboration with business and Technology stakeholders Anticipate, identify, and solve issues concerning data management to improve data quality Clean, prepare and optimize data at scale for ingestion and consumption Drive the implementation of new data management projects and re-structure of the current data architecture Implement complex automated workflows and routines using workflow scheduling tools Drive collaborative reviews of design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards Analyze and profile data for the purpose of designing scalable solutions Troubleshoot complex data issues and perform root cause analysis to proactively resolve product and operational issues Lead, Mentor and develop offshore Data Engineers in adopting best practices and deliver data products. Partner with product management to understand business requirements, breakdown Epics, etc. Partner with Engineering Managers to define technology roadmaps, align on design, architecture, and enterprise strategy Requirements: Minimum of 8+ years experience with the following: Snowflake Data Platform Python Experience designing and implementing Data Warehouse Preferred Skills: ETL tool to include any of the following: DBT; Informatica; Matillion; Talend; or Azure Data Factory Azure/AWS cloud technology Design and development of data marts in Snowflake preferred Working knowledge of Azure/AWS Architecture, Data Lake, Data Factory Business analysis experience to analyze data to write code and drive solutions Knowledge of: GitHub, Azure DevOps, Agile, Jira and Confluence Working knowledge on Erwin for data modelling Independence/ Accountability: Requires minimal daily supervision Receives detailed instruction on new assignments and determines next steps with guidance Regularly reviews goals and objectives with supervisor Demonstrates competencein relevant job responsibilities which allows for increasing level of independence Ability to manage and prioritize multiple tasks Ability to work under pressure and meet deadlines Problem Solving: Makes logical suggestions of likely causes of problems and independentlysuggests solutions Excellent organizational skills are required to prioritize responsibilities, thus completing work in a timely fashion Outstanding ability to multiplex tasks as required Excellent project management and/or business analysis skills. Attention to detail and concern for impact is essential Location and Workplace Flexibility: We have offices in Atlanta GA, Boston MA, Morristown NJ, Plano TX, St. Louis MO, St. Petersburg FL, and Hyderabad, India. We foster a hybrid and remote friendly culture and all of our employee's work locations are based on the needs of the position and determined by the Leadership team. In-office work and activities, if applicable, vary based on the work and team objectives in accordance with Company policies. Zelis is modernizing the healthcare financial experience by providing a connected platform that bridges the gaps and aligns interests across payers, providers, and healthcare consumers. This platform serves more than 750 payers, including the top 5 national health plans, BCBS insurers, regional health plans, TPAs and self-insured employers, and millions of healthcare providers and consumers. Zelis sees across the system to identify, optimize, and solve problems holistically with technology built by healthcare experts - driving real, measurable results for clients. Commitment to Diversity, Equity,Inclusion, and Belonging At Zelis, we champion diversity, equity, inclusion, and belonging in all aspects of our operations. We embrace the power of diversity and create an environment where people can bring their authentic and best selves to work. We know that a sense of belonging is key not only to your success at Zelis, but also to your ability to bring your best each day. Equal Employment Opportunity Zelis is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. We encourage members of traditionally underrepresented communities to apply, even if you do not believe you 100% fit the qualifications of the position, including women, LGBTQIA people, people of color, and people with disabilities. Accessibility Support We are dedicated to ensuring our application process is accessible to all candidates. If you are a qualified individual with a disability or a disabled veteran and require a reasonable accommodation with any part of the application and/or interview process, please email ***************************. SCAM ALERT: There is an active nationwide employment scam which is now using Zelis to garner personal information or financial scams. This site is secure, and any applications made here are with our legitimate partner. If you're contacted by a Zelis Recruiter, please ensure whomever is contacting you truly represents Zelis Healthcare. We will never asked for the exchange of any money or credit card details during the recruitment process. Please be aware of any suspicious email activity from people who could be pretending to be recruiters or senior professionals at Zelis. RequiredPreferredJob Industries Other