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

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.

Support clinical research administration by developing coverage analyses, study budgets, calendars, charge segregation, and trial documentation. Review junior staff projects, assist with client needs, apply clinical trial billing policies, conduct quality assurance reviews, and contribute to process improvements. The role also involves mentoring staff, maintaining regulatory knowledge, and supporting industry, federally sponsored, and investigator-sponsored clinical research studies.

Negotiate and prepare complex research contracts, including clinical trial, confidentiality, subcontract, service, material transfer, and data transfer agreements. Analyze contract clauses, communicate negotiation outcomes, ensure regulatory compliance, manage stakeholder relationships, improve processes, mentor others, and balance multiple deadlines while maintaining quality and productivity.

Conduct clinical trial site monitoring, including routine, initiation, and close-out visits; manage study files and sites; verify informed consent, protocol compliance, and data integrity; review CRFs and resolve queries; report serious adverse events; coordinate vendors and local projects; and support employee training. The role requires oncology experience, two years of clinical monitoring, frequent overnight travel, and a mix of onsite and remote work.

Conduct clinical trial site monitoring and management for oncology studies, including site initiation and close-out visits, protocol and informed consent compliance, source data verification, CRF review, query resolution, SAE reporting, registry management, and vendor coordination. The role requires approximately 60% overnight travel, frequent onsite visits, strong clinical judgment, and proficiency with electronic data systems.

Onboard clients, build long-term relationships, communicate Bravos Research’s market views and portfolio strategy, and connect investors with relevant research offerings. The role partners closely with the research team, requires clear communication of complex investment ideas, and represents the company professionally while supporting client engagement and service adoption.

Supports clinical quality operations and quality management systems through study document reviews, CAPA management, quality metrics, sponsor and FDA inspection readiness, eTMF and functional audits, clinical site and vendor audits, regulatory guidance tracking, SOP development, training, and quality issue remediation. Requires strong knowledge of GCP, FDA requirements, clinical research procedures, and quality assurance practices.

Leads ALSAC’s creator partnership strategy, focusing on YouTube creators and creator-led media. Builds relationships with creators, agencies, management firms, production companies, and platforms; develops storytelling, fundraising, audience-growth, and content opportunities; advises leadership on creator economy trends; establishes partnership measurement frameworks; and leads cross-functional initiatives, budgets, and strategic planning.

Conducts quantitative and qualitative research and evaluation supporting student success and equity initiatives in California higher education. Responsibilities include managing large datasets, analyzing data with Stata and SQL, conducting literature and policy research, preparing reports and visualizations, coordinating stakeholders, and managing project plans and deliverables across multiple workstreams.

Own end-to-end permit research projects, delivering accurate and structured outputs for customer-facing Permit Guides. Collaborate with AI, engineering, product, and permitting teams to improve research accuracy, speed, and automation. The role requires strong research, accuracy, clarity, proactive problem-solving, and experience in architecture, construction management, commercial or retail permitting, or related project management.

Lead Lucid’s AI compute verification research agenda, prioritize verification claims, and manage researchers across hardware security, cryptography, networking, and ML systems. Direct experiments and adversarial red-team cycles on the RISE H100 GPU testbed, establish rigorous success criteria, publish results including negative findings, translate policy and customer needs into testable claims, and represent the company through papers, talks, and academic partnerships.

Leads Lucid’s research partnerships and standards initiatives, beginning with the RISE collaboration. Builds relationships with universities, national labs, AI safety institutes, frontier AI developers, and standards bodies; manages agreements, delivery, publication, and specification adoption. Converts research results into reference architectures, technical specifications, and papers, while securing grant funding and building the function. Requires substantial technical-program or research-collaboration experience, standards-process expertise, technical fluency, and strong communication skills.

Develops and maintains clinical research dashboards, reports, metrics, and visualizations using Power BI, Advarra Analytics, OnCore, and related systems. Analyzes operational, financial, compliance, and performance data; reconciles OnCore and Workday information; validates data quality; and supports research decision-making. Provides backup OnCore support, troubleshooting, testing, training, process improvement, data governance, documentation, and stakeholder communication across the clinical research enterprise.

Conduct research on frontier AI systems and develop datasets, experiments, prototypes, tooling, evaluation frameworks, and reinforcement learning environments. Investigate synthetic and agentic data generation, post-training, model understanding, benchmarks, and evaluation. Collaborate with research, engineering, product, and operations teams to translate findings into scalable AI applications, while contributing to technical publications, open-source work, mentorship, and the broader AI research community.

Conduct frontier AI research and build research-grade datasets, prototypes, tooling, reinforcement learning environments, benchmarks, and evaluation frameworks. Design rigorous experiments, train and evaluate models, investigate synthetic and agentic data generation, and translate findings into scalable products. Collaborate with research, engineering, product, and operations teams, communicate technical insights, contribute to publications and open-source work, and mentor peers. This is a fully onsite role based in San Francisco, Palo Alto, or Seattle.

Conduct original research to develop frontier STEM benchmarks, evaluations, synthetic data methods, hallucination and reliability techniques, and agentic science workflows. Responsibilities include identifying research gaps, designing experiments, building evaluation pipelines, validating results, constructing benchmarks, and publishing findings. The role requires strong knowledge of modern LLMs, scientific judgment, quantitative reasoning, Python, technical writing, and independent research execution. This is an in-office position five days per week in San Francisco, Palo Alto, or Seattle.

Conduct original research to evaluate, train, and improve frontier AI systems. Responsibilities include developing STEM benchmarks, synthetic data methods, reliability and hallucination evaluations, verification techniques, and agentic science workflows. The role involves identifying research gaps, designing rigorous experiments, building evaluation pipelines, publishing findings, and proposing new research directions across reasoning, AI evaluation, data generation, and AI-for-science.

Conduct original research to evaluate, train, and improve frontier AI systems. Design benchmarks, synthetic-data methods, reliability and hallucination evaluations, verification techniques, and agentic science workflows. Identify research gaps, formulate hypotheses, build experiments and evaluation pipelines, publish findings, and develop new research directions across STEM and AI. The role requires strong Python skills, quantitative reasoning, technical writing, and expertise with modern LLMs.

Conduct frontier AI research and build research-grade datasets, prototypes, tooling, reinforcement learning environments, benchmarks, and evaluation frameworks. Investigate synthetic and agentic data generation, post-training, model understanding, and model capabilities. Design rigorous experiments, analyze results, and translate findings into scalable products and AI systems while collaborating across research, engineering, product, and operations teams.

Supports clinical research administration by developing coverage analysis reports, clinical trial budgets, study calendars, charge segregation, and trial documentation. Reviews junior staff projects, supports client communications, applies clinical trial regulations and research billing rules, and contributes to quality assurance, process improvement, training, and mentorship across industry, federally sponsored, and investigator-sponsored studies.

Oversee clinical trial monitoring for sponsor-dedicated oncology studies, ensuring site adherence to protocols, regulations, and GCP standards. Conduct site visits, resolve performance issues, support data integrity, train site staff and CRAs, and collaborate with cross-functional stakeholders. Manage multiple sites and projects independently while maintaining strong relationships and driving compliance. The role requires approximately 60% travel.

Oversee Phase I oncology clinical trial monitoring for sponsor-dedicated studies. Conduct site visits, ensure protocol and regulatory compliance, assess site performance, resolve issues, support data integrity, train site staff and CRAs, and collaborate with cross-functional stakeholders to maintain successful trial execution.

Analyze and exploit infrared and OPIR sensor data, including SBIRS systems; develop sensor models and advanced processing algorithms in Python and MATLAB; investigate infrared phenomenology; design tests and experiments; troubleshoot data workflows and software logic; and support CONOPS, technical documentation, and technology transition efforts with government, industry, and research partners.