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

Join a security research team to develop analysis tools, review sandbox/VM and network modules, discover vulnerabilities and create PoC exploits for distributed systems, and publish findings. Research areas include malware analysis, vulnerability detection, network anomaly detection, mobile app analysis, reverse engineering, and fraud detection.

Serve as primary client contact and liaison between clients, CROs, and Labcorp. Manage global and local central lab studies, oversee budgets, risks, milestones, SOW review, communications, and cross‑functional study teams to ensure on‑time, quality study delivery and continuous improvement.

Conduct research and develop deep learning models for vision, audio, multimodal, and LLM post-training. Build prototypes and integrate foundation models and agent systems into products. Design evaluation pipelines and benchmarks, reproduce SOTA, and collaborate with engineers to ship features used by millions.

Prepare and submit regulatory documents (IRB, FDA, IBC) for oncology clinical studies, draft informed consents, maintain Investigator Site Files, act as point of contact with Sponsors/CROs and regulatory bodies, track activities in regulatory systems, and respond to inquiries and status requests.

Support clinical research project teams by preparing and maintaining project documentation, coordinating with sites and sponsors, performing basic quality checks, assisting with deliverables and logistics for meetings, updating tracking tools, and helping investigate and resolve project issues under supervision.

Independently analyze surveillance data, conduct literature reviews, lead original research projects and Cancer Facts & Figures, assist with data management and statistical programming, collaborate with experts, and publicize findings through presentations and media.

Lead end-to-end customized research projects for employer partners, design surveys, analyze quantitative and qualitative data, craft executive-ready recommendations, present findings to senior stakeholders, and manage multiple client engagements while improving internal research processes.

Conduct research in machine learning focusing on AI, develop models, design experiments, collaborate on product ideas, and mentor researchers.

Support quantitative market research projects: data collection, fieldwork coordination, data analysis, survey testing and editing, tabulation checks, and contributing to client-ready reports and proposals.

Conduct in-depth research and analysis on IAM technologies and services; advise clients on selection, deployment, operations, and governance across corporate and cloud environments; write and present advisory research; predict market trends; collaborate with global analyst teams and stakeholders; respond to client inquiries and media.

Join PPG's R&D PhD program to design and conduct experiments, develop theories, lead projects, apply scientific and statistical methods, support commercial products, and communicate technical results to global partners while advancing materials, coatings, and related technologies.

Volunteer role to identify and evaluate foundation, corporate, and government grant opportunities; track eligibility, deadlines, and recurring opportunities; maintain a database and present summarized recommendations.

Organise and curate large amounts of raw material: extract key points from transcripts, collate and maintain clean spreadsheets, tag and categorise links and documents, and create findable information structures following or suggesting systems.

Own product adoption and engagement across progressive clients: grow the user base, run trainings and demos, build messaging and lifecycle email programs, run user research to diagnose churn, create evangelism materials, and report on acquisition and engagement metrics to inform product improvements.

The Senior Research Scientist will innovate and optimize models for real-time learning, collaborating across domains to enhance efficiency and impact, with a strong focus on practical applications and measurable outcomes.

As a Research Engineer, you'll lead and optimize large-scale synthetic data generation and AI inference pipelines, while contributing to open-source projects and publishing research.

The Research Engineer will advance decentralized AI by optimizing distributed training, developing open-source tools, publishing research, and enhancing platform capabilities.

Own strategy, roadmap, and go-to-market for data-driven products serving progressive organizations. Gather and prioritize user feedback, translate needs into product specs, collaborate with engineers, designers, and data scientists, and demo features and marketing materials to clients. Anticipate user needs within the progressive political ecosystem and iterate rapidly under tight timelines.

Lead full-chip DFT architecture and implementation including scan, compression, MBIST/BIST, ATPG vector generation, gate-level verification, and silicon debug. Collaborate with STA, physical design, memory compiler, and test teams to ensure production-ready silicon with high test coverage and diagnostic capability, and support bring-up and debug on silicon.

Participate in testing and providing feedback on a smart glasses prototype aimed at improving accessibility for people with hearing loss.

Lead full‑stack development of complex research platforms, set technical direction and architecture, integrate data pipelines and evaluation frameworks, mentor engineers, promote AI-assisted engineering practices (e.g., Claude Code), assist hiring/onboarding, and represent technical work across teams to deliver scalable, secure software for digital safety research.

Lead marketing initiatives at Whetstone Research, create digital content, manage contributors, and prioritize strategies in blockchain and crypto.

Design, build, and operate large-scale RL post-training systems for multimodal foundation models: distributed training, high-throughput rollout generation, environment and reward infrastructure, evaluation and debugging tooling, and efficiency/stability improvements. Collaborate with researchers to productionize RL methods and run stable RL training across thousands of GPUs.

The Research Engineer will develop machine learning methods for forecasting glacier ice flow and assess its impact on sea level rise, utilizing high-performance computing and remote sensing data in collaboration with interdisciplinary teams.

Lead on-site and remote clinical monitoring and site management for complex studies, ensuring GCP and regulatory compliance, data integrity, and audit-readiness. Mentor CRAs, support site selection, conduct SIVs/close-outs, manage queries and deviations, develop study documents and monitoring tools, and coordinate with sponsors and PMs. Travel up to 80%.