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

Oversee clinical trial sites and ensure protocol, regulatory, and GCP compliance. Conduct site visits, assess performance, resolve issues, support site staff, and maintain data integrity and participant safety. Collaborate with cross-functional teams on data collection and reporting, train site personnel and CRAs, and manage relationships with stakeholders. The role requires extensive CRA experience, advanced relevant education, strong monitoring and organizational skills, and travel of at least 60%.

Lead generative UX and market research to identify emerging opportunities, assess markets, define ICPs and value propositions, and shape product and business strategy. Influence senior leaders, partner with analytics, product, design, marketing, sales, and client services, and translate insights into investment and go-to-market decisions. Coach researchers, improve UXR processes, and integrate AI into scalable research workflows.

Lead research-focused design programs, improve operating processes, and scale research workflows across Stripe. Build AI agents, automations, custom tools, and production-ready solutions; evaluate vendors and tools; coach researchers; measure program impact; and partner with Research, Design Operations, Legal, Security, and Procurement on priorities, risks, budgets, and implementation.

Provides complex legal and non-legal research support to lawyers, paralegals, and business staff. Conducts case law, statutory, regulatory, legislative, business, financial, SEC filing, news, and biographical research; summarizes findings; manages alerts and research requests; educates clients on resources; evaluates databases and emerging AI tools; maintains research guides and intranet materials; tracks workflow and bills time while protecting confidentiality.

Support health system and life sciences research partners using Helix’s clinico-genomic datasets, tools, and platforms. Serve as the primary data-support contact, lead onboarding and office hours, create user materials, coordinate internal technical support, gather feedback, and help refine solutions. Build clinical and genomic data-processing pipelines while collaborating with Engineering, Research, Bioinformatics, Product, Life Sciences, and Commercial teams.

Conduct novel research in Protocol Learning, focusing on decentralized large-model training and inference across consumer devices. Develop foundational methods addressing communication efficiency, fault tolerance, heterogeneous compute, and malicious participants, with the goal of publishing in tier-1 machine learning venues. Interns own a research problem, leverage significant compute, and receive mentorship from senior scientists during a six-month PhD internship.

Lead a four-year neuroscience and future-of-learning R&D program focused on underserved PreK-12 learners. Refine research hypotheses, launch funding opportunities, build cross-sector partnerships, manage a multi-million-dollar portfolio and budget, hire and lead a team, develop measurement infrastructure, and translate scientific findings into equitable education applications. The role requires inclusive collaboration with students, educators, researchers, and communities, along with the ability to evaluate evidence, pivot strategies, and drive breakthrough outcomes.

Leads applied research programs in innovation, implementation science, digital health, and AI-enabled healthcare. Provides scientific oversight for multidisciplinary studies, clinical trials, pragmatic research, analytics, program evaluation, grant development, and scientific writing. Collaborates with clinical and operational stakeholders, mentors trainees, manages research resources and external relationships, and ensures methodological rigor, productivity, and responsible data stewardship. The role focuses on translational, non-laboratory research using health system data and clinical workflows.

Coordinates clinical research studies by recruiting and supporting participants, collaborating with investigators and sponsors, maintaining accurate trial data and documentation, and ensuring compliance with protocols, regulations, and ethical standards. Provides participant education and assistance with study procedures while managing informed consent forms, case report forms, adverse event records, protocol deviations, study outcomes, and regulatory submissions.

Build an end-to-end decentralized RL post-training stack for large language models, including rollout ingestion, reward computation, policy updates, weight synchronization, and evaluation. Develop algorithms for asynchronous, high-latency, partially trusted environments and ship post-trained models as public artifacts. The role requires hands-on RLHF, RLVR, or reasoning-focused RL experience, strong Python and PyTorch engineering, and research capability. Experience with slow networks, decentralized systems, model serving, reward modeling, or P2P networking is advantageous.

Build and own a geo-distributed inference stack for decentralized reinforcement learning and future model serving. Responsibilities include pipeline-parallel execution, node placement and routing, network transport, serving-engine internals, algorithm development, and failure handling across consumer hardware and unreliable public-internet connections. The role requires hands-on experience shipping large-scale inference systems, research capability in distributed inference or related fields, and expertise in low-bandwidth, high-latency networking.

Conduct foundational research on Protocol Learning, focusing on communication-efficient decentralized training, convergence under churn and staleness, heterogeneous systems, and malicious-participant robustness. Publish findings in top-tier conferences and collaborate with engineering teams to deploy methods in live frontier-model training runs. The role requires machine learning research excellence, distributed training experience, strong PyTorch skills, and alignment with decentralized AI.

Build and optimize decentralized distributed pretraining systems for frontier-scale models on heterogeneous consumer hardware. Responsibilities include model-parallel training, communication efficiency, elasticity, fault tolerance, checkpointing, state synchronization, recovery, and monitoring across unreliable internet-connected devices. The role requires hands-on PyTorch distributed training experience, strong production Python skills, concurrency and profiling expertise, and evidence of shipping research or engineering systems.

Develop threat models, statistical verification algorithms, calibrated tests, and production verification services for decentralized training and inference on untrusted heterogeneous hardware. The role focuses on detecting incorrect model outputs, malicious training behavior, free-riding, poisoning, data extraction, and reward manipulation while controlling false positives and negatives. Candidates need deep statistics and probability expertise, experience shipping or publishing calibrated decision systems, and familiarity with statistical testing, re-execution, cryptographic proofs, and trusted hardware.

Monitors oncology clinical trial sites for protocol, regulatory, and GCP compliance; conducts site visits, resolves issues, supports trial execution, and ensures data integrity. Collaborates with cross-functional teams, trains site staff and CRAs, manages multiple sites and projects, and maintains stakeholder relationships. Requires Colorado residence, oncology monitoring experience, at least 60% domestic and international travel, and a valid driver's license.

Manages investigator sites throughout clinical studies, including site selection, monitoring, source data verification, data quality, issue resolution, staff training, safety reporting, documentation, and study closeout. Ensures compliance with ICH-GCP, local regulations, client procedures, and patient-safety requirements. Maintains trial records, monitoring reports, site files, logs, and registry information while coordinating with investigators, healthcare professionals, clinical trial assistants, and internal teams.

Conducts clinical trial site monitoring and management, including source data verification, patient safety oversight, issue resolution, protocol and regulatory compliance, site staff training, data quality checks, reporting, and maintenance of investigator and trial documentation. Manages site activities from selection through closeout while maintaining accurate monitoring records and collaborating with investigators, healthcare professionals, clinical trial assistants, data management, and internal teams.

Develop experimental AI techniques for agentic marketing applications, especially image and video generation. Build proofs of concept, autonomous evaluation and improvement systems, realistic AI-generated video, and brand-aligned creative generation workflows. The role requires strong quantitative and probabilistic thinking, backend architecture skills, creativity with LLM applications, and product intuition.

Implements and monitors cybersecurity controls across Linux, Kubernetes, database, and model-serving environments. Builds monitoring, detection, vulnerability scanning, hardening automation, secrets management, network policy, access control, and evidence collection. Supports AI security tooling, documentation, testing, security reviews, continuous monitoring reports, and federal authorization activities. This early-career role includes hands-on training, certification support, and collaboration with AI and systems administration leads.

Build and own ML infrastructure for distributed training, inference, experiment tracking, model registries, and CI/CD. Enable active-learning and closed-loop optimization, collaborate with computational scientists, and mentor colleagues to translate research prototypes to production-grade systems.

Researches and resolves government-program dental appeals, grievances, compliance cases, billing issues, and fraud referrals. Reviews contracts, claims, treatment records, and provider documentation; communicates with customers, clients, affiliates, legal, and compliance teams; manages case deadlines and notices; prepares claims and adjustments; maintains case records; and supports audits and hearings.

Build and operate large-scale distributed web crawlers that discover, fetch, extract, deduplicate, and recrawl billions of pages. Develop targeted pipelines for audio, video, and multilingual data, transforming web content into training-ready datasets. Create infrastructure and tooling for researchers to request, monitor, evaluate, and explore crawled data, while ensuring reliability, efficiency, compliance, politeness, and rate-limit handling.

Deploy and optimize frontier AI models for real-time production use at scale. Responsibilities include improving inference latency, throughput, and cost through quantization, distillation, KV-cache optimization, batching, and custom kernels; building high-performance streaming serving systems; and creating tooling that enables safe, efficient model deployment.

Develop and deploy deep learning models and petabyte-scale multimodal data curation pipelines for foundation-model training. Responsibilities include document extraction, OCR, layout and table analysis, deduplication, distributed processing, dataset and metric development, experimentation, production scaling, and deployment through NVIDIA Inference Microservices. The role also involves publishing research, creating technical documentation, communicating findings, and mentoring team members.

Own a portfolio of organizations and scientific projects advancing AI resilience. Responsibilities include mapping AI-related bottlenecks, developing investment theses, sourcing and diligencing projects, recruiting founding teams, coaching founders, supporting fundraising and operations, serving on boards, and cultivating relationships with philanthropic and public funders. The role requires technical fluency in frontier AI, startup-building experience, fundraising, hiring, budgeting, roadmap development, governance familiarity, and a strong field network.