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

Supports research and evaluation projects under supervision by developing materials, coordinating data collection, organizing documentation, recording meeting minutes, conducting surveys and interviews, and contributing to quantitative and qualitative analysis, reporting, and data visualization. The role requires strong organization, communication, attention to detail, and the ability to manage multiple projects remotely while maintaining accurate records and following established protocols.

Develop robotics datasets and evaluations for embodied AI systems. Responsibilities include defining data schemas, annotations, quality standards, collection protocols, validation tools, and review workflows. The role also involves running experiments to assess how data quality and structure affect model performance, collaborating with research, engineering, vendors, and customers, and taking research tools from conception through deployment.

Provides analytical and lifecycle support for U.S. Navy electromagnetic warfare, decoy, and SEWIP systems. Applies operations research, data science, logistics analysis, reliability and maintainability engineering, mathematical modeling, simulation, optimization, and what-if analysis to improve system readiness, operational availability, resource allocation, and lifecycle performance. Develops performance metrics, evaluates alternatives, analyzes complex datasets, and delivers recommendations and decision-support products to technical and program leadership.

Provides operations research, modeling, simulation, logistics, and lifecycle analysis for U.S. Navy electronic warfare and decoy systems. Analyzes complex datasets, resources, reliability, maintainability, supply chains, and operational processes. Develops mathematical models, conducts what-if analyses, evaluates courses of action, establishes performance metrics, and delivers recommendations and decision-support products to technical and program leadership.

Leads a mixed-methods research program on AI policy communications, overseeing survey and qualitative study design, fieldwork, analysis, vendor management, reporting, and documentation. Translates complex findings into executive-ready recommendations for Policy, Communications, Product, Marketing, Data Science, Legal, Privacy, and other stakeholders. Establishes rigorous research practices, reusable tools, benchmarks, and ethical standards while influencing senior cross-functional partners.

Lead end-to-end healthcare research studies using large EHR datasets, including literature reviews, study design, statistical analysis, interpretation, and dissemination. Develop and document analysis code in R and/or Python, write manuscripts and reports, present findings, manage multiple projects, and collaborate with communications, marketing, product, engineering, and clinical research teams.

Leads and oversees moderate-to-large, multi-region clinical trials from initiation through completion. Coordinates cross-functional teams, manages timelines, budgets, scope, resources, compliance, reporting, stakeholder communications, and project deliverables to ensure on-time, high-quality, profitable results.

Conduct executive, industry, market, and company research to support leadership searches. Identify qualified executives, analyze competitive landscapes using LLMs, design AI prompts, develop research strategies and reports, maintain candidate and company database quality, and provide strategic insights across industries. The role requires managing multiple projects, synthesizing ambiguous information, collaborating with search professionals, and communicating findings clearly.

Conduct applied AI safety research using white-box methods such as activation explainers, steering, attribution, and model-internal interventions. Evaluate methods on realistic, large-scale models and agentic coding tasks, develop practical monitors and interventions, publish findings, propose research directions, and engage with researchers, frontier AI developers, governments, and the broader AI alignment community.

Provides remote administrative support to compliance and quality teams in a clinical research organization. Responsibilities include document control, email and meeting coordination, tracker maintenance, study status updates, training administration, source-build quality checks, staff credential verification, system access management, metric reporting, and follow-up on pending items.

Drives commercial growth by developing new business, expanding client accounts, and selling consulting, analytics, and primary market research solutions to pharmaceutical, biotechnology, and healthcare organizations. Owns the full sales cycle, builds executive relationships, manages pipelines and forecasts, leads consultative selling, develops proposals, negotiates contracts, and collaborates with consulting and research teams. Represents the firm at industry events and monitors market trends to identify opportunities.

Leads the Research Accounting team and oversees sponsored award financial administration, including award setup, budget and expense monitoring, financial and non-financial reporting, reconciliations, closeout, quality control, and regulatory compliance. Supervises five direct reports, develops procedures and training, analyzes financial data, resolves discrepancies, and advises faculty, staff, sponsors, and university leadership on research accounting matters.

Conduct research engineering for a probabilistic foundation model spanning temporal, tabular, and mixed-modality data. Design model architectures, encoders, attention mechanisms, distributional output heads, and decoding strategies; implement and train scalable PyTorch models; run controlled experiments, ablations, and performance profiling; diagnose training behavior; and produce reproducible, production-quality code. Candidates with stochastic modeling expertise may also develop synthetic data generators and simulate richer stochastic dynamics.

Build and manage relationships with investment banks, equity research analysts, institutional investors, and other capital markets participants. Develop analyst engagement programs, track sector research, provide market intelligence, and position Higgsfield as a trusted source on Creative AI. Partner with leadership, communications, and finance to develop market frameworks, investment theses, and executive narratives that generate measurable research and investor outcomes.

Leads primary and secondary market research, business analytics, and competitive intelligence supporting lorundrostat’s commercial planning and launch. Develops strategic frameworks, manages research vendors and data providers, monitors competitors, supports forecasting and market access planning, answers commercial and epidemiological questions, and provides insights for leadership, investor, and board presentations. The role also manages the business insights budget and requires expertise in U.S. pharmaceutical markets, commercial data sources, payer environments, and clinical trial evaluation.

Lead research on improving AI agent training data and evaluations. Manage and mentor research engineers, define research direction, design rigorous experiments, validate data quality, diagnose reward and grading failures, and translate findings into scalable tools, workflows, and standards. Collaborate with engineers, domain experts, and vendors while communicating technical conclusions and tradeoffs clearly.

Conduct research and support policy publications on Chinese corporations, foreign policy, economics, trade, governance, and Indo-Pacific security. Responsibilities include Chinese-language research, data collection and visualization, editing, conference coordination, scheduling, travel logistics, long-term project management, reporting, and mentoring interns. The role requires strong Mandarin proficiency, writing, research, organizational, and communication skills, plus Microsoft Excel proficiency.

Conduct site selection, initiation, monitoring, and close-out visits for oncology clinical trials. Ensure compliance with ICH-GCP, regulations, and SOPs; maintain CTMS and eTMF documentation; monitor patient safety and drug accountability; support recruitment and retention; resolve data queries; track site progress, budgets, and payments; and collaborate with clinical operations teams. Travel of 60%–75% across the Southeast is required.

Conduct site selection, initiation, monitoring, and close-out visits for clinical trials across therapeutic areas. Ensure ICH-GCP and regulatory compliance, maintain CTMS and eTMF documentation, monitor patient safety and drug accountability, support recruitment and data quality, resolve issues, track budgets, and collaborate with clinical teams. The role requires 60%–75% travel for on-site monitoring visits.

Manages global clinical research projects from planning through completion, coordinating Regulatory, Clinical Operations, Biometrics, and Medical Affairs/Safety teams. Oversees project scope, budgets, resources, milestones, compliance, deliverables, and internal and external status reporting. Requires experience managing studies, project-level costing, global projects, and multiple therapeutic areas and protocols.

Advance AI data and agentic environment creation by designing scalable pipelines combining automated generation, real-world data, and expert judgment. Run experiments, evaluate data and model performance, collaborate with engineering, product, customers, and domain experts, and translate research prototypes into production workflows. The role also involves developing expert-authoring workflows, monitoring frontier research, and representing findings through publications, talks, blogs, and customer engagements.

Leads analytics, data architecture, outcomes measurement, health economics and outcomes research, ROI modeling, governance, and client reporting. Manages a multidisciplinary data team and partners with Engineering, Product, executives, and payer stakeholders to translate clinical and financial evidence into actionable decisions. Oversees accurate, repeatable analyses and communicates findings through dashboards, white papers, presentations, and impact briefs.

Conduct site management and monitoring for oncology clinical trials, including qualification, initiation, interim, and close-out visits. Ensure data integrity, subject safety, inspection readiness, regulatory compliance, and essential document reconciliation. Manage site relationships, feasibility, activation, IRB/EC submissions, risk indicators, and CAPA plans. Train site staff on protocols, GCP, SOPs, and regulations, while supporting inspections and mentoring junior CRAs. The role requires solid tumor oncology trial expertise and travel up to 50%.

Leads the development and execution of N-Power Medicine’s clinical research operations model. Oversees distributed clinical research staff and Clinical Operations, including staffing, capacity planning, training, performance metrics, study startup, TMF management, regulatory documentation, site and IRB coordination, and monitoring. Builds scalable SOPs, playbooks, dashboards, and workflows while partnering with network leadership and supporting oncology clinical trial execution across practices.

Conducts clinical trial site monitoring and management for oncology studies, including pre-study, initiation, routine, and close-out visits. Ensures protocol compliance, informed consent, patient safety, data integrity, SAE reporting, CRF review, query resolution, and regulatory adherence. Coordinates with vendors and study teams, supports feasibility and registry management, and may train new employees or coordinate local projects. Requires 5+ years of clinical monitoring experience, oncology experience, and 30–50% overnight travel.