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

Lead and grow strategic global accounts with biopharma clients for Tempus Diagnostics and Research services. Develop account strategies, meet revenue goals, build executive and R&D relationships, negotiate complex contracts, coordinate cross-functional teams, and track progress against strategic objectives. Serve as a strategic advisor to advance precision medicine and enable case studies. Travel ~30%.

Lead and grow a product research team focused on defensive cybersecurity research. Own technical and managerial leadership, collaborate with Product, SOC, and Engineering, scale automated threat-detection workflows using AI, and mentor researchers to deliver prioritized platform capabilities.

Research and analyze Coverage A property insurance product features, querying data and assessing performance metrics to identify improvement opportunities. Lead cross-functional projects, gather competitive and vendor research, and translate quantitative and qualitative findings into recommendations that influence product design and strategy. Present insights to product and distribution leadership, build analytical tools, and mentor less-experienced analysts and interns.

The role involves supporting research collaborations in oncology, engaging KOLs, managing study proposals, and contributing to medical writing and strategy development.

Manages, monitors, and closes assigned clinical trial sites, ensuring patient safety, protocol compliance, data quality, regulatory adherence, and timely study delivery. Responsibilities include site relationship management, recruitment support, onsite and remote monitoring, adverse event follow-up, investigational product oversight, issue resolution, audit and CAPA support, reporting, and database release. The role also mentors clinical research associates, supports site activation and feasibility activities, and participates in process improvement initiatives.

Manages, monitors, and closes assigned clinical trial sites from initiation through database lock. Ensures patient safety, protocol compliance, data quality, regulatory adherence, recruitment progress, investigational product accountability, and timely issue resolution. Serves as the primary site contact, conducts onsite and remote monitoring, supports audits and CAPA activities, trains site personnel, resolves data queries, and collaborates with investigators, vendors, drug safety teams, and study stakeholders. The role also mentors Clinical Research Associates and contributes to process improvement initiatives.

Lead research and analysis to improve Coverage A (dwelling) determination and Replacement Cost Estimate features. Independently query data, build tools, synthesize insights, manage cross-functional initiatives, present recommendations to leadership, gather competitive and vendor intelligence, and mentor junior analysts.

Own Deepgram’s end-to-end text-to-speech research program, including technical strategy, model architectures, experiments, training, evaluation, and production deployment. Lead researchers and technical managers, establish roadmaps, advance naturalness, expressiveness, multilingual generation, controllability, voice consistency, and inference efficiency, and partner with engineering and product leadership to ship high-quality models.

Lead design, build, and deploy of large-scale data platforms for LLMs, RAG, and agentic AI systems. Hands-on coding, architecting fault-tolerant pipelines, establishing MLOps/DataOps best practices, mentoring engineers, and operationalizing research into production across Exabyte-scale distributed systems.

Design, build, and maintain distributed cloud services to support advanced threat detection. Collaborate with security, data science, and engineering teams to integrate capabilities into the Falcon platform, ensure production reliability, and leverage AI/LLMs to improve detection and automation. Mentor peers and contribute to scalable, high-availability system architecture.

Research Staff will develop foundational voice AI technologies, including low-bitrate neural audio codecs, steerable speech generation, disentangled audio representations, latent recombination, synthetic audio data generation, and multimodal speech-to-speech models. The role also involves designing scalable architectures, training methods, and inference algorithms optimized for hardware, billion-hour datasets, and real-time deployment. Candidates need strong mathematical foundations, foundation-model expertise, large-scale data pipeline experience, rigorous experimentation skills, deployment optimization knowledge, and publications or open-source contributions in speech or language AI.

Graduate research interns will own end-to-end projects to build customer world models and proactive intelligence: developing representation learning, foundation model, RL/agentic methods, evaluation frameworks, and shipping research into production to improve customer decision-making.

Design and execute prospective IRB-approved clinical studies, manage consent and patient enrollment, build cross-functional research infrastructure, pull and QC clinical datasets, create dashboards to monitor study health, and draft white papers, abstracts, and manuscripts for publication.

Lead large-scale collection and analysis of deep and dark web data, build and maintain production-grade automated collection systems (LLM-integrated), operate Docker/cloud-based pipelines and APIs, respond to collection failures and incidents, perform threat actor research, and apply OPSEC tradecraft while collaborating globally.

Perform tax form and regulation research, interpret tax code updates, guide programmers on calculation changes, design and execute tests, document calculations, contribute release notes and customer guidance, and support tax software products remotely.

Design and train LLMs and agentic systems for cybersecurity using RLHF/RLAIF and supervised fine-tuning. Build agent architectures, tooling, retrieval/memory, and evaluation pipelines with rigorous statistical benchmarking. Optimize prompts and inference, collaborate with engineers to productionize prototypes, and drive research on agent planning, safety, and reliability.

The Research Engineer will collaborate with scientists to develop and validate machine learning models for speech technologies, manage scalable training systems, and design tools for accessibility to non-technical users.

Design, develop, and deploy software solutions for automated trading systems while collaborating with researchers on technology priorities.

Lead and oversee the UX research function, setting strategy, executing research, and mentoring the team to support product development and design at Collectors.

Own Secret Detection and Vulnerability Research as a product: define strategy across prevention, detection, validation, revocation, and reporting; ship detection content and intelligence with measurable quality; drive adoption, retention, and revenue; partner with engineering, research, and Field; use AI to accelerate research and productization.

Quantitative Research Engineers at Citadel's GQS develop software solutions, enhance trading systems, and collaborate with researchers to apply quantitative techniques.

Field-based Senior Medical Science Liaison to engage oncology KOLs and investigators, manage external research collaborations (investigator-initiated trials, biobank grants, real-world studies), liaise between data scientists and clinicians, support medical writing and publication planning, and drive research strategy and stakeholder communication across Medical Affairs, Commercial, and R&D. Travel up to 50%.

Participate in an in-home study by installing two video-only devices for 7–10 days, share at least 120 hours of footage per device, review and delete clips on a provided laptop, and provide consent for yourself and other adult household members. Devices are delivered and picked up at your home; must live in the Boston area and be comfortable using a computer and communicating in English.

The role involves researching and developing large language models (LLMs) with a focus on transformer architecture, data curation, distributed training, and optimization. Responsibilities include conducting experiments, collaborating with teams, and staying updated on deep learning advancements.

Develop and apply stochastic cost models and quantitative analyses to evaluate supplier proposals, estimate construction costs from designs, quantify materials/labor/equipment, analyze subcontractor bid realism, perform close-out cost analysis, and coordinate cost constraints with project managers to support risk-informed decision making.