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

Design, develop, validate, and deploy statistical and machine learning models to detect fraud, anomalies, and noncompliance in large tax and financial datasets. Clean and feature-engineer data, run robustness and sensitivity tests, collaborate with stakeholders, and present technical and non-technical findings. Support end-to-end data science lifecycle and productionization in a government environment.

Analyze large structured, semi-structured, and unstructured datasets using SQL and Python; clean and process data; build dashboards and reports with Power BI and Tableau; consult technical and non-technical stakeholders; communicate analysis and deliverables to end users on federal government projects. Must possess IRS Public Trust clearance.

Manage and lead technical teams to deliver data and analytics projects on scope, on time, and within budget; liaise with clients and technical staff; oversee contractual, financial, and resourcing matters and facilitate analytics delivery from design through deployment.

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.

Analyze large structured and unstructured datasets using SQL and Python; clean and process data; build dashboards and reports with Power BI/Tableau; consult stakeholders and communicate findings to end users.

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.

Lead and support full-lifecycle data science projects (forecasting, NLP, classification/regression, optimization). Design production-ready solutions within client environments, consult with stakeholders to define ambiguous problems, communicate technical findings, and develop/teach bespoke analytics training.

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.

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.

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.

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.

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, 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.

Lead global clinical trial delivery for dermatology and/or rheumatology studies from start-up through closure. Serve as primary sponsor contact, manage budgets, timelines, vendors and cross-functional teams, ensure GCP/ICH compliance, prepare study deliverables, assess risk and quality, and drive recruitment and operational performance for multisite Phase III and other large multinational trials.

Lead and perform clinical trial monitoring and site management for oncology Phase II/III studies, ensuring ICH GCP and local regulatory compliance, site start-up, source data verification, SAE reporting, IP accountability, issue escalation, and documentation. Acts with limited oversight and may lead complex studies or serve as a subject-matter expert.

Build and maintain research automation and program-specific infrastructure for alignment research: orchestration, automated analysis, distributed training, experiment and evaluation systems; collaborate with researchers, contribute to shared codebases, and communicate progress across the organization.

Conduct deep theoretical and empirical research on ASI alignment within a program, design and run experiments or proofs, write papers and give talks, communicate progress with the team, and use AI tools and research automation to accelerate work.

Support sponsor invoicing and billing reconciliation for industry-sponsored clinical trials. Translate clinical trial agreements into CTMS invoicing calendars, train and mentor study teams on OnCore and SPARCRequest, prepare and follow up on invoices, apply and reconcile sponsor payments, generate financial reports, integrate data across research financial systems, and ensure compliant invoicing and revenue realization.

As a Computer Vision Applied Research Scientist, you'll design novel architectures for understanding construction drawings, conduct end-to-end experiments, and transition models to production. You'll collaborate with others to improve accuracy and address real-world issues in AI applications for construction.

Coordinate day-to-day activities of neurology/Alzheimer clinical research protocols: screen and recruit participants, obtain informed consent, collect and maintain source data, perform vitals and phlebotomy, prepare IRB and regulatory documents, assist with site visits, support PI and staff training, and help with budgeting and quality assurance.