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

The Senior Copywriter will write and edit video sales scripts, develop brand understanding, and collaborate on creative projects to enhance customer acquisition.

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.

Lead AI program management for Small Commercial Product: own the AI investment roadmap, prioritize and track AI initiatives, drive cross-functional execution and adoption, coordinate risk/compliance, partner with Data Science and Technology, and monitor AI trends to deliver measurable business outcomes.

Design and research agentic AI systems for cybersecurity: fine-tune and post-train LLMs (RLHF/RLAIF), build agent architectures and eval pipelines, optimize prompts and inference, collaborate with engineering to productionize prototypes, and establish rigorous benchmarks and metrics.

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.

As a Data Scientist at Deepgram, you'll tackle complex audio data challenges, develop scalable data pipelines, and collaborate with teams to advance voice AI technologies.

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

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.

Remote internship supporting tax research, testing, and documentation. Duties include researching tax form changes, interpreting tax code updates, writing requirements for programmers, designing and executing test cases, validating tax calculations, and contributing to release notes and customer guidance while learning tax software and tools.

Conduct research, statistical analyses, and develop automated trading strategies using large data sets and sophisticated statistical techniques.

The Director, Research - Power Markets is responsible for leading the QA/QC process for long-term forecasting, advising leadership, and ensuring market insights are effectively integrated into forecasts.

Research and interpret tax code and form changes, translate findings into software requirements, guide programmers, design and execute test cases, validate tax calculations, produce documentation and release notes, serve as subject-matter expert for assigned tax topics/states, support product users, and lead team projects as needed.

Build and productionize machine learning models for fraud and identity risk across the full ML lifecycle: data acquisition, feature engineering, training, deployment, monitoring, and analysis. Research new fraud types, collaborate cross-functionally, write production-ready code, and inform product, sales, and data acquisition decisions.

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.

Lead and scale Headway's clinical research: define research roadmap, design and run studies, perform causal inference and experimentation, analyze large real-world datasets, publish peer-reviewed manuscripts, manage budget and resources, and collaborate cross-functionally to inform strategy and demonstrate impact on patient and provider outcomes.

Lead customer success and research efforts: train and advise customers on Dscout, design and run qualitative research projects, drive adoption and expansion, manage 1–3 Research Advisors, and surface customer feedback to Product.

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.

Lead research on machine learning validation for robotics and autonomy systems, focusing on simulation, uncertainty modeling, and creating functional prototypes for testing.

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.

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.

The Market Research Manager leads quantitative and qualitative research projects to analyze customer sentiment and brand health, driving marketing and product decisions while collaborating across various teams.