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

As a Research Analyst, you will research and analyze financial data, collaborate with a team, and contribute to reports on market trends and corporate strategies.

The role involves designing and implementing machine learning systems for knowledge representation and temporal reasoning, focusing on organizational intelligence. Responsibilities include building LLM-powered pipelines, developing memory algorithms, and researching various ML techniques.

Lead HUD's data quality strategy for RL training data: build QC systems, validate synthetic data at scale, design evaluation experiments, partner with researchers and vendors, convert research insights into production validation pipelines and tools, and mentor research engineers.

Build and scale core research infrastructure and agentic systems across backend, frontend, and model integrations. Own reliability, observability, and performance; ship research-proven features to production rapidly and develop shared tools and SDKs to accelerate Research, QA, and Engineering.

Design and build clinical-grade automated evaluation pipelines (LLM-as-judge + human review), define benchmarks, run rigorous experiments, partner with engineering to implement CI gates for accuracy, factuality, and safety, and publish findings to improve model robustness and reduce hallucinations.

Seeking an AI Research Engineer to design AI training protocols, build scalable systems, and collaborate on novel AI infrastructure solutions.

The Principal Software Research Engineer will lead research in distributed systems, develop innovative solutions, interface with sponsors, and transition research to product development while managing project proposals and reports.

Lead a remote library and research team delivering legal, regulatory, and competitive research to attorneys. Oversee client relationships, implement research workflows and tools, govern digital resources, champion adoption of AI-powered legal technologies, and manage projects, budgets, vendors, and staff development to ensure timely, accurate insights.

The Research Advisor will provide high-level consultancy for generative AI systems, engage in research collaborations, and represent the Human Frontier Collective in key executive meetings.

Serve as technical compliance advisor bridging legal and engineering to identify, analyze, and mitigate software and regulatory risks (AI, ADS/ADAS, export). Research standards, translate requirements into scalable processes and automated solutions, prepare commodity classifications, support trainings, and perform technical analyses for regulatory submissions.

Monitor clinical trials including site qualification, initiation, monitoring, and close-out visits; ensure protocol compliance, data integrity, and patient safety; review and resolve data queries; collaborate with investigators and contribute to study documentation and reports.

Conduct market research and lead generation for M&A targets across sectors, regions, and financial profiles. Analyze market trends, competitive landscapes, TAM/SAM/SOM, regulatory changes, and competitor M&A activity. Manage Salesforce data, reports, dashboards, workflows, and enrichment processes. Evaluate sourcing tools, support portfolio lead generation, and present pipeline and market intelligence reports to investment managers.

Lead development, validation, and optimization of bioanalytical methods; analyze and interpret data; write/review SOPs and technical reports; drive lab process improvements; train, mentor, and potentially supervise scientific staff; coordinate resources, evaluate instruments, and ensure compliance with corporate and regulatory requirements.

Design and architect AI-powered solutions for higher-education clients, guiding technical feasibility, data pipelines, model orchestration, APIs, observability, and cloud or hybrid deployments. Advise engineering teams, shape reusable patterns, evaluate GenAI/LLM approaches (embeddings, RAG, agents), and mentor junior staff while aligning solutions with client goals and enterprise constraints.

Provides pathology subject-matter expertise for biomarker discovery, companion diagnostics, digital and molecular pathology, and translational research programs. Reviews literature and pathology standards, develops annotation guidelines, performs or reviews digital slide annotations, and quality-checks human- and algorithm-generated outputs. Guides AI/ML model design, training, validation, and interpretation while collaborating with pathology, histotechnology, data science, and client teams to ensure clinically meaningful and scientifically rigorous results.

Build post-training infrastructure for voice and text agents, including training environments, verifiers, synthetic data pipelines, evaluations, and end-to-end experiments. Select and adapt open-weight models, design robust rewards, deploy models to production, and improve behavior using real-world usage. The role requires strong Python engineering, experience taking models from raw data to production, GPU familiarity, and collaborative remote work.

Build post-training infrastructure for voice and text agents, including training environments, verifiers, synthetic data pipelines, evaluations, and model release gates. Run end-to-end training experiments, select open-weight models, improve tool-using and multi-turn behavior, deploy models to production, and iterate using real-world usage. The role emphasizes Python engineering, reinforcement learning, GPU-based training, data quality, reward design, and production machine learning.

Implements and maintains university research security and export controls compliance programs. Advises stakeholders on ITAR, EAR, OFAC, CUI, federal funding, and contracting requirements; conducts risk assessments; manages restricted-party screening, licenses, technology control plans, international travel reviews, reporting, training, and regulatory compliance initiatives.

Research, annotate and structure financial data from public filings using proprietary tools; standardize and maintain databases, ensure data integrity, collaborate on reporting requirements, and support special projects. Role requires attention to detail, ability to handle high-volume quarterly periods (overtime eligible), and strong Excel skills.

Provide chat, email, and phone support for healthcare software users, including inquiry triage, issue prioritization, escalation, case follow-up, and resolution. Serve as a subject matter expert on software workflows and pharmaceutical manufacturer policies, while maintaining SLAs and documentation standards. Contribute to incident response reviews, knowledge base development, process improvement, client launches, and onboarding materials.

Conduct clinical trial site qualification, initiation, monitoring, and close-out visits. Ensure protocol compliance, data integrity, and patient safety; collaborate with investigators and site teams; review data and resolve queries; and contribute to protocols and clinical study reports. Requires at least 60% domestic and international travel.

The Staff Research Engineer - Code will lead the creation of datasets and reinforcement learning environments for coding agents, collaborating with AI labs to influence model improvements and operational excellence, while managing a technical team.

The Research Analyst will design original research, analyze large datasets, create data visualizations, and collaborate with cross-functional teams to derive insights and recommendations for clients.

Lead research and engineering for RL-based post-training of LLMs: design simulations and reward functions, implement RLHF/DPO/GRPO pipelines, build multi-turn tool-using agents, mentor staff, and productionize research.

Conduct research at the intersection of graph theory, machine learning, and clinical domains to develop and validate methods for modeling complex systems, partner with engineering to productionize findings, publish results, and collaborate with clinical experts to ensure real-world impact.