Real-World Data Jobs

The Associate Scientific Director, HEOR role serves as an emerging thought leader within Neurocrine Biosciences, driving strategic Health Economics and Outcomes Research and epidemiology initiatives. Key responsibilities include designing and executing complex real-world data studies to establish disease burden and treatment outcomes, collaborating cross-functionally with clinical and commercial teams to support market access and product launches, and mentoring internal teams and external consultants. This position appeals to candidates seeking to advance a mission of relieving suffering for patients with neurological disorders while working in an inclusive culture that values brave science. The role offers opportunities for professional growth through high-impact research and leadership, with a hybrid work arrangement indicated by the SA1 location code.

The Medical Director, Medical Affairs role is a senior leadership position within the Medical Affairs team at BridgeBio, focusing on rare disease therapies for autosomal dominant hypocalcemia and chronic hypoparathyroidism. Key responsibilities include developing and executing medical strategies for product launch and lifecycle planning, leading evidence generation initiatives such as Phase 4 studies and real-world data collection, and managing strategic engagement with key opinion leaders and scientific communities. The position requires cross-functional collaboration to support clinical development and ensure regulatory compliance. This opportunity appeals to candidates seeking to work in a culture that values curiosity, experimentation, and the ethical use of AI to accelerate life-changing treatments. The role is based in the San Francisco Bay Area with a hybrid work arrangement and involves approximately 40% travel for scientific meetings and advisory boards.

This full-time Manager Data Science role leads a specialized Generative AI team within AIG's global insurance division, focusing on transforming risk management through innovative AI solutions. The position involves overseeing the end-to-end development and production deployment of enterprise-level generative AI projects, building evaluation frameworks for large language models, and mentoring junior data scientists. Key responsibilities include executing technical delivery plans, collaborating with cross-functional product and engineering teams, and maintaining hands-on involvement in prompt engineering and agentic architectures. The role is appealing for its opportunity to shape the future of AI in a leading global organization, offering a culture of inclusion, professional development, and the chance to work on groundbreaking technology. The position requires primarily in-office collaboration to foster a connected and supportive team environment.

This part-time Graduate Research Assistant role within the Division of Epidemiology supports applied research at the intersection of healthcare, artificial intelligence, and data analysis. The position focuses on large language model evaluation, clinical data pipeline development, and natural language processing for chart abstraction using secure datasets. Key responsibilities include optimizing data processing pipelines with Python and SQL, assisting in machine learning model design and training, and contributing to reproducible research practices and manuscript preparation. The role offers meaningful opportunities to engage in translational research that directly impacts patient care while supporting capstone or thesis projects. Candidates benefit from structured technical oversight and the potential for full-time effort during the summer semester. The position requires on-site availability for part of the schedule and collaboration within secure computing environments.

This senior applied scientist role within Amazon's Leo Satellite Build Intelligence team focuses on developing the scientific intelligence layer for satellite manufacturing. The position involves designing and deploying machine learning models, including LLM-based systems, to transform fragmented data into a unified, closed-loop system that drives production decisions. Key responsibilities include translating ambiguous manufacturing challenges into defined scientific problems, training models on large-scale noisy datasets, and building evaluation frameworks to ensure production readiness. The role appeals to candidates seeking to work at the intersection of AI and physical-world systems, offering the opportunity to influence scientific direction, mentor teams, and contribute to AI-native manufacturing processes. The position is based in California or Washington and requires U.S. citizenship or permanent residency due to export control regulations.

The Director, Federal Payer Accounts role leads formulary access and coverage strategy for Compass Pathways' investigational mental health treatment across U.S. federal systems including the VA, DoD, and TriCare. Key responsibilities involve developing strategic account plans, negotiating contracts, and articulating the clinical and economic value of the therapy to secure sustainable coverage. The position requires close collaboration with internal teams such as HEOR, Medical Affairs, and Government Affairs to align on launch tactics and overcome access barriers. This opportunity appeals to professionals passionate about transforming mental health care, offering a remote work arrangement within a mission-driven biotechnology company focused on breakthrough treatments for treatment-resistant depression.

This fully on-site Senior Technical and Functional Analyst role supports a high-priority federal initiative to reduce SNAP payment errors using AI and automation. The position involves leading stakeholder workshops to define requirements, conducting feasibility analysis for machine learning solutions, and translating business needs into technical specifications for data scientists and engineers. Key responsibilities include developing process maps, analyzing complex data sets, and managing AI pilot programs to drive operational efficiency. The role is appealing for its opportunity to work on a strategic agency-wide project that directly impacts public trust and financial integrity, offering a chance to solve difficult challenges within a culture that values integrity, courage, and excellence.

This senior data infrastructure role at 10Beauty, a robotics startup in Burlington, MA, focuses on building the foundational data architecture for the world's first autonomous manicure machines. The position involves designing scalable ETL pipelines to process high-volume operational and machine-generated data, architecting the company's data warehouse, and establishing governance and monitoring systems to support analytics and future AI initiatives. The role offers significant ownership as the first hire in this domain, allowing the engineer to shape data strategy from the ground up while collaborating with robotics and product teams. The opportunity is appealing for its chance to work on cutting-edge autonomous technology in a fast-growing environment with a mission to redefine beauty robotics. The position is based on-site in Burlington.

This Data Scientist role within the SPX AI Lab focuses on building the next generation of Amazon Seller Assistant, a multi-agent system designed to proactively support millions of sellers. The position involves owning the product vision and strategy for key capabilities while defining and shipping agentic experiences that handle reasoning, planning, and memory at scale. Key responsibilities include translating frontier AI research into production-grade features, designing rigorous evaluation frameworks to measure agent quality, and driving cross-functional alignment to solve complex business problems. The opportunity appeals to candidates seeking to work at the intersection of cutting-edge agentic AI and real-world commerce, offering the resources of a global leader with the agility of a startup. The role is based in Seattle and requires a blend of technical expertise in machine learning and strong communication skills to influence product direction.

This full-time Sales Development Representative role supports Rubrik's sales organization in generating high-quality pipelines for the Montreal and Toronto territories. The position requires fluency in French and English to conduct targeted outbound prospecting, research accounts, and qualify inbound leads for field sales teams. Key responsibilities include crafting personalized outreach across multiple channels, managing pipeline data in Salesforce, and collaborating with sales professionals to develop account strategies. The role serves as a launchpad for career growth, offering structured coaching, ongoing training, and a clear path to full-cycle sales positions. It appeals to candidates seeking a metrics-driven environment where they can develop deep expertise in cybersecurity and AI operations. The position is based in the Austin office with a requirement to work on-site a minimum of four days per week.

This full-time Submarine Sonar Analyst role at Sonalysts, Inc. supports the Navy by bridging the gap between operational submarine experience and engineering development. The position focuses on advanced sonar algorithm development, labeling data for artificial intelligence projects, and serving as a liaison between active duty personnel and acquisition teams. The role is based entirely on-site in Waterford, Connecticut, and requires an active security clearance. The position is appealing due to the company's employee-owned structure, which fosters an agile and entrepreneurial environment where staff can influence new business and technology. Employees benefit from a flexible time program, comprehensive professional development opportunities, and a collaborative culture that values diverse military and technical backgrounds.

This full-time Senior Account Manager role sits within Snap Inc's Sales team, focusing on nurturing senior-level client relationships and driving growth for the company's visual messaging and AR products. Key responsibilities include leading complex campaign workstreams, analyzing performance data to optimize ROI, and educating brands on new advertising tools and best practices. The position also involves mentoring junior team members and collaborating cross-functionally to develop innovative digital strategies. The role appeals to candidates seeking a fast-paced environment with a strong emphasis on data-driven decision-making and a collaborative culture. While the position offers opportunities for professional growth and impact on a transformative platform, it requires a hybrid work arrangement with a default expectation of working in the office four or more days per week.

The Gastroenterology Therapeutic Area Lead role within US Medical Affairs at Johnson & Johnson focuses on leading scientific strategy and business planning for immunology and gastroenterology assets. The position involves supervising a matrixed team to design evidence generation strategies, oversee Phase 3b and 4 clinical trials, and collaborate with global functions including R&D and commercial teams. Key responsibilities include managing budget decisions, serving as a subject matter expert for regulatory and publication activities, and mentoring direct reports. This leadership opportunity appeals to professionals seeking to drive breakthrough treatments for complex immune diseases within a mission-driven culture. The role is based in Horsham, Pennsylvania, operating on a hybrid schedule with three days in the office and two days remote, requiring up to 25 percent travel.

This role is a junior-level position within the Data Science and Engineering track at SynergisticIT, designed to bridge the gap between academic learning and real-world hiring expectations. The position focuses on developing hands-on experience through end-to-end project work, including API design, system architecture, and cloud deployment, while preparing candidates for technical interviews. It appeals to recent graduates and professionals seeking to refine their problem-solving skills and master current technology stacks. The opportunity offers a structured path to employment with top-tier companies and includes support for career advancement and visa processing where applicable. The work arrangement is remote.

This entry-level position is part of SynergisticIT's Job Placement Program, designed to bridge the gap between academic training and real-world hiring expectations for data analysts and engineers. The role involves providing interview-focused coaching and technical training to recent graduates and career changers, emphasizing hands-on project development and end-to-end system design skills. Key responsibilities include preparing candidates for technical rounds through practical exercises in data structures, API design, and cloud deployment while offering support for visa processing and resume optimization. The opportunity is appealing for its targeted approach to transforming candidates from 'almost hired' to offer-ready, leveraging a track record of placing professionals with major technology and finance firms. The program operates remotely with a focus on high-demand technology stacks including Python, Java, and machine learning.

This role is an entry-level position within SynergisticIT's Job Placement Program, designed to bridge the gap between academic training and real-world hiring expectations for Java microservices and data science candidates. The program focuses on developing hands-on experience through end-to-end project work, covering system design, API development, and cloud deployment to prepare candidates for technical interviews. It appeals to recent graduates and professionals seeking to overcome interview barriers by providing structured coaching on problem-solving and project narratives. The opportunity offers a pathway to employment with major technology and finance firms, featuring support for career transitions and potential visa processing assistance.

This entry-level position targets Java microservices development and data engineering roles within the technology sector. The role focuses on bridging the gap between academic training and industry expectations by providing hands-on experience with modern tech stacks, including API design, backend architecture, and cloud deployment. Key responsibilities involve developing end-to-end solutions, mastering system design fundamentals, and preparing candidates for technical interviews at major employers. The opportunity is appealing due to its structured approach to career advancement, offering mentorship that transforms theoretical knowledge into job-ready skills. The program supports recent graduates and professionals returning to the workforce, with a focus on high-demand tracks like Java, Python, and data science. While the specific work arrangement is not detailed, the program emphasizes real-world project narratives and interview readiness to secure offers from top-tier companies.

This entry-level opportunity targets candidates seeking to transition into Data Science or Java Full Stack development roles through a structured placement program. The role involves intensive skill-building in real-world tools such as version control, APIs, and cloud deployment, alongside resume optimization and interview coaching to align with current employer expectations. Participants gain hands-on experience with project depth and teamwork workflows required by major technology and financial firms. The program is particularly appealing for recent graduates, career switchers, and professionals with employment gaps who need a guided pathway to secure full-time positions. It offers a clear process to bridge the gap between academic learning and job-ready capabilities, with support available for visa-related employment processes once hired.

This entry-level opportunity targets recent Computer Science, IT, or Data Science graduates seeking to transition into full-time roles as Data Engineers, Data Scientists, or Backend Developers. The position focuses on building production-ready skills through a structured pathway that emphasizes real-world projects, modern tech stacks like Java and Python, and interview preparation. Key responsibilities include developing scalable software solutions, managing data pipelines, and demonstrating end-to-end system capabilities to meet client needs. The role is appealing due to its placement-focused approach designed to bridge the gap between academic theory and industry demands, offering candidates a clear roadmap to employment with major organizations. The position is fully remote, providing flexibility for new graduates to launch their careers in high-demand technology sectors.

This senior data scientist role at Booz Allen involves leading data science initiatives to solve complex global challenges across private and public sectors using IoT, machine learning, and artificial intelligence. Key responsibilities include performing data exploration and mining with Python, R, or SQL, developing predictive models for activity-based intelligence, and guiding teams to translate disparate data into actionable client insights. The position offers the appeal of working on high-impact projects ranging from fraud detection to national intelligence within a people-first culture that values collaboration. While the work arrangement varies by project, opportunities exist for remote, hybrid, or onsite engagement, often requiring a Top Secret clearance.

This entry-level remote role targets recent graduates and career switchers seeking to launch a career in data science or engineering. The position involves developing skills in Python, Java, and machine learning while working on real-world projects for major clients. Key responsibilities include building data pipelines, analyzing datasets, and collaborating with engineering teams to deploy scalable solutions. The opportunity is appealing for candidates with limited experience, as it provides a structured pathway to gain hands-on industry exposure and rebuild professional momentum. The role supports candidates facing career gaps or those needing assistance with visa extensions, offering a collaborative environment focused on closing the gap between academic knowledge and employer expectations.

This entry-level position targets recent graduates and career switchers seeking roles as Data Scientists or Data Analysts within the technology sector. The role involves applying practical skills in data analysis, machine learning, and programming to solve real-world business problems for major tech clients. Key responsibilities include building data models, analyzing complex datasets, and collaborating with engineering teams to deliver actionable insights. The opportunity is appealing for candidates aiming to bridge the gap between academic knowledge and industry requirements through a structured placement program. The arrangement supports professionals seeking full-time employment with opportunities for visa sponsorship and career growth in high-demand tech stacks.

This mid-level Data Scientist role at Booz Allen focuses on leveraging IoT, machine learning, and artificial intelligence to solve complex global challenges across private and public sectors. The position involves collaborating with clients to analyze large-scale structured and unstructured datasets, developing algorithms, and building systems that transform disparate data points into actionable insights. Key responsibilities include applying statistical methods and programming skills in Python or R to drive decision-making in areas such as fraud detection and national intelligence. The role is appealing for its mission-driven culture that emphasizes using data science for good, offering opportunities for professional growth and meaningful impact. Candidates must hold a TS/SCI clearance with a polygraph, and the work arrangement varies between remote, hybrid, or onsite depending on specific project requirements.

This mid-level Data Scientist role at Booz Allen focuses on leveraging machine learning, artificial intelligence, and IoT to solve complex global challenges across private and public sectors. The position involves analyzing structured and unstructured data to build predictive models, develop algorithms, and create visualizations that drive informed client decisions. Key responsibilities include leading solution development for diverse programs, collaborating directly with clients to define analytical needs, and translating disparate data points into actionable insights. The role offers the appeal of meaningful work with a mission to use data science for good, supported by a people-first culture that values collaboration and professional growth. While the position allows for remote or hybrid work arrangements, it requires up to 25% travel and the ability to obtain a Secret clearance.

This remote Data Scientist role supports U.S. Customs and Border Protection within the Washington DC Metro Area. The position involves applying advanced statistical analysis, machine learning, and data mining to transform raw data into actionable insights for government clients. Key responsibilities include designing predictive models, developing complex visualizations, and conducting quantitative simulations to solve real-world problems. The role appeals to candidates seeking a collaborative, people-centered culture at a fast-growing consulting firm that values continuous learning and work-life balance. The company offers a supportive environment with flexible time off, low travel requirements, and opportunities to contribute immediately to cutting-edge solutions. Candidates must hold a relevant advanced degree and possess a valid security clearance.