Remote Jobs for Reseachers, Research Engineers, Research Scientists, & Research Analysts

Analyze large structured and unstructured datasets using SQL and Python, clean and process data, build dashboards in Power BI/Tableau, consult with stakeholders, and communicate findings to deliver analytic solutions for federal clients.

Develop, validate, and deploy predictive and statistical models on large tax and financial datasets to detect fraud and non-compliance. Perform data exploration, feature engineering, and model evaluation using Python/R, SQL, and Databricks. Collaborate with government clients and cross-functional teams, deliver technical and non-technical briefings, and ensure models are explainable, defensible, and maintainable in secure government environments.

Design, build, and maintain secure, scalable data pipelines and ML data workflows to support IRS fraud detection and compliance analytics. Collaborate with data scientists and stakeholders, troubleshoot production issues, produce documentation and briefings, and operate in restricted government environments.

Support IRS tax compliance and fraud detection by developing, validating, and deploying predictive and statistical models. Clean and analyze large datasets, apply supervised and unsupervised learning (including NLP and graph analytics), collaborate with clients and teams, and deliver technical briefings and defensible, explainable model results.

Consult with stakeholders to explore and analyze large structured, semi-structured, and unstructured datasets using SQL and Python; clean, process, and manage data; build and deploy dashboards and reports (Power BI, Tableau); communicate findings to end users; collaborate with cross-functional teams to translate requirements into analytic solutions.

Perform data exploration and analysis on large structured and unstructured datasets using SQL and Python; build and deploy dashboards in Power BI/Tableau; consult with stakeholders, communicate findings, and collaborate with data scientists and engineers to deliver analytic solutions for federal clients.

Join a cross-functional team to explore and analyze large structured and unstructured datasets using SQL and Python, build and deploy dashboards (Power BI, Tableau), consult with stakeholders, and communicate analytic results and reports to end users for federal government clients.

Work with clients and technical staff to design, develop, and deploy predictive models and data-driven analytical solutions. Perform data extraction, ingestion, and modeling; evaluate and improve models; translate business rules into technical specifications and communicate results to stakeholders.

Support IRS analytics to detect fraud and non-compliance by developing, validating, and deploying predictive and statistical models. Clean and analyze large datasets, perform feature engineering, apply supervised and unsupervised techniques (including NLP and graph analytics), collaborate with stakeholders, and deliver technical and non-technical briefings. Work across the full data science lifecycle and operate in secure government environments.

Develop, validate, and deploy predictive and statistical models using structured and unstructured tax and financial data to detect fraud and non-compliance. Clean and wrangle large datasets, perform feature engineering, apply supervised and unsupervised techniques, and communicate results to technical and non-technical stakeholders. Collaborate with clients and cross-functional teams and support model deployment and documentation in secure government environments.

Lead and grow a portfolio of Financial Markets clients, owning revenue, renewals, cross-sell and account plans. Build C-suite and function-level relationships, identify whitespace, support proposals/pricing, coordinate sales and delivery, maintain pipeline and CRM hygiene, ensure client satisfaction, and represent thought leadership. Travel as required.

Provide travel-based operational support to East Coast clinical trial sites: manage startup, patient recruitment, screening, consent, study visits, EDC entry, IRB submissions, regulatory binders, monitoring/audit readiness, and train/onboard site staff while coordinating travel logistics and ensuring GCP compliance.

Provide on-site operational support for clinical trial startup and early enrollment at California sites. Travel to manage recruitment, consent, visits, data entry, regulatory documentation, and site readiness. Train and support site staff, maintain regulatory binders, ensure GCP compliance, assist monitoring and audits, and coordinate logistics to drive enrollment and study execution.

Traveling clinical research coordinator responsible for site start-up, participant recruitment, protocol adherence, data capture, regulatory/IRB submissions, monitoring/audit readiness, and training site staff. Provides operational support during high-enrollment periods and manages travel logistics while ensuring GCP and FDA compliance.

Provide operational support to Arizona research sites during startup and early enrollment by traveling to manage recruitment, screening, consent, study visits, regulatory documentation, EDC entry, and site training. Ensure GCP/FDA compliance, maintain regulatory binders, support monitoring/audits, coordinate logistics and inventory, and onboard/train site staff.

Manage site relationships and oversee clinical trial conduct to ensure protocol compliance, data integrity, patient safety, and regulatory readiness. Perform site selection, training, routine and close-out monitoring, risk assessments with Central Monitoring, mentorship of junior CRAs, investigator identification, and investigator payment management. Leverage site engagement strategies and tools to drive recruitment, retention, and study performance.

Manage a defined product area: set priorities, own roadmap, run agile ceremonies, partner with engineering/design/client teams, drive launches, change management, and define success metrics to deliver scalable B2B solutions.

Design and evaluate GPU-native numerical algorithms for engineering simulation: develop and benchmark linear/nonlinear solvers, multigrid, preconditioners, mixed-precision and matrix-free methods, prototype research code, and transition promising approaches into NVIDIA software in collaboration with research and engineering teams.

Coordinate clinical research recruitment and retention from study initiation to completion. Support day-to-day operations, collaborate with investigators, clinical staff, and HQ Launchpad, and manage peak workload periods for Carbon Health's clinical research program.

Lead HammondCare's research and innovation strategy, overseeing applied research, evaluation, grants, partnerships, clinical trials, digital health and AI. Build partnerships, secure funding, ensure governance and ethics, drive commercialization and impact measurement, and develop a multidisciplinary team to translate evidence into scalable care solutions.

Support B2B lead generation through secondary research to identify target companies and decision-makers, build and maintain a segmented prospect database, support outreach campaigns, ensure CRM discipline and data accuracy, and report findings while receiving mentoring.

Invent and research AI-native numerical algorithms that integrate ML with classical solvers on GPUs. Develop learned preconditioners, AI-guided multigrid, differentiable solver components, and solver-in-the-loop pipelines. Define numeric evaluation metrics, collaborate across research and product teams, and help set NVIDIA's applied research agenda for solver intelligence.

Design, develop, and evaluate AI safety assessment systems focused on LLMs and NLP. Investigate incident reports, conduct literature reviews, create and run NLP/LLM assessments, code or train text analytics, document methods, publish research, and collaborate with engineering teams to scale assessment tools.

Develop and validate machine learning detections to detect, prevent, and respond to cheating in Call of Duty. Build and improve production ML models, run experiments and analyses, manage large datasets and ETL processes, and collaborate with game designers, engineers, and stakeholders to measure impact and operationalize anti-cheat solutions.

Lead and direct oncology clinical development across all phases, design and oversee clinical studies, analyze safety and efficacy data, manage cross-functional teams and external collaborators, author development documents, and provide scientific leadership for partnerships. Travel ~20%.