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

The UX Research Intern will learn about the business through meetings and training, contribute creative ideas, analyze metrics, prepare reports and presentations, take meeting notes, and provide recaps. The role requires self-direction, effective communication, and proficiency with Microsoft Office tools, including Excel, PowerPoint, and Word.

The UX Research Intern will learn about the business through meetings, trainings, and team activities; contribute creative ideas; deliver reports; analyze metrics; summarize information; prepare meeting materials and presentations; and take meeting notes with recaps. The role requires self-direction, effective communication, and proficiency with Microsoft Office applications, including Excel, PowerPoint, and Word.

Participate in meetings, trainings, and workplace events while learning about the business. Share creative ideas, deliver reports, analyze metrics, summarize information, create meeting materials and presentations, and take meeting notes with recaps. The role requires self-direction, effective communication, and proficiency with Microsoft Office, including Excel, PowerPoint, and Word.

Participate in meetings, trainings, and team activities while supporting UX research-related business initiatives. Deliver reports, analyze metrics, summarize information, create meeting materials and presentations, and document meeting recaps. Contribute creative ideas to improve the business and communicate findings effectively.

The UX Research Intern will attend meetings and trainings, contribute creative ideas, analyze metrics, deliver reports, prepare presentations, and document meeting recaps. The role requires self-direction, effective communication, and proficiency with Microsoft Office, including Excel, PowerPoint, and Word.

UX Research Interns gain hands-on workplace experience by attending meetings and trainings, sharing ideas, analyzing metrics, delivering reports, creating meeting materials, and documenting discussions. The role requires self-direction, effective communication, and proficiency with Microsoft Office applications. Interns support team initiatives while developing professional skills in a collaborative business environment.

UX Research Interns gain workplace experience by attending meetings, trainings, and team events; sharing ideas; analyzing metrics; delivering reports; preparing presentations; and documenting meeting recaps. The role requires self-direction, effective communication, and proficiency with Microsoft Office, including Excel, PowerPoint, and Word.

Conduct research advancing artificial intelligence and machine learning, implement and evaluate algorithms on healthcare data, communicate findings across interdisciplinary teams, and document results through internal materials, publications, and conference submissions. Potential research areas include foundation models, clinical NLP, generative AI, causal inference, multimodal learning, explainable AI, and privacy-preserving machine learning.

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.

Graduate research interns will own end-to-end projects developing customer world models and proactive intelligence. Work spans representation learning, foundation models, reinforcement learning, agentic decision systems, and evaluation. Tasks include designing methods, running experiments, publishing findings, and potentially shipping models into production to impact customer-facing products.

Leads research and valuation analysis for offshore upstream oil and gas assets and companies. Builds financial models, develops actionable investment insights, presents findings to clients and prospects, demonstrates Enverus software workflows, and participates in industry events and client meetings. Collaborates with financial analysts, engineers, geologists, data scientists, and developers to enhance the technology platform and address complex energy industry and investment questions.

Develops commercial growth for real-world evidence solutions by building Pharma and biotech partnerships, shaping go-to-market strategies, designing study proposals, presenting scientific solutions, and collaborating on data products and analytics. Requires expertise in oncology, HEOR, RWE methodologies, clinical trials, and diverse real-world data sources. The role manages enterprise client relationships, supports revenue targets and forecasting, and travels up to 20%.

Research and interpret federal and state tax law changes, translate them into software requirements, validate tax calculations, and partner with developers on compliant tax technology. The role also creates technical documentation, supports strategic product initiatives, provides tax subject-matter expertise, and uses AI and analytics tools to improve research and workflow efficiency.

Own the full enterprise sales cycle from prospecting through closing, renewals, upsells, and cross-sells. Build pipelines, manage strategic accounts, conduct complex research scoping conversations, present AI and market research solutions, and maintain executive relationships across Fortune 500 and mid-market clients. Collaborate with Sales, Research, and Product teams, forecast accurately, meet targets, and travel up to 25%.

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.

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.

Serve as the primary clinical partner to biopharma accounts, translating oncology practice, real-world evidence, clinical trials, and AI-driven solutions into strategic guidance. Develop account strategies, analyze pipelines and trial data, advise on protocol design and cohort selection, synthesize conference updates, and communicate complex scientific solutions to executive clients. Requires oncology clinical expertise, preferably in gastrointestinal or breast cancers, plus biopharma and real-world data fluency.

Volunteer research analyst to conduct market and competitor analysis, build market-fit reports and pitch deck content, support R&D research, develop research tools and coordinate research activities. Requires weekly standups and a 4+ hour weekly commitment.

Support digital marketing and community efforts in MENA: gather and manage data for content and campaigns, handle community queries on Telegram/Discord, use campaign portals (Task On, Galaxy, Zealy), conduct data research, assist lead generation, monitor campaign metrics, and follow the content plan to improve engagement and ROI.

Support B2B lead generation through secondary research to identify target companies and decision-makers, build and maintain a segmented prospect database, support outreach campaigns, ensure CRM discipline and data accuracy, and report findings while receiving mentoring.

Leads acquisition and governance of clinical and EEG datasets supporting new indications and algorithm development. Builds academic and hospital partnerships, evaluates research proposals, negotiates data access, oversees EMR integrations, assesses dataset quality, and coordinates with Data Science, Clinical, Legal, Regulatory, and Privacy teams on research collaborations, data agreements, IRB requirements, de-identification, and HIPAA compliance.

Leads portfolios of global dermatology and rheumatology clinical studies, overseeing project managers, budgets, vendors, timelines, quality, regulatory compliance, risk mitigation, client relationships, and proposal development. Provides therapeutic-area expertise, operational leadership, coaching, and business development support across multinational Phase III trials.

Oversees clinical trial site identification, outreach, feasibility, and selection activities. Tracks site activities in CTMS, manages site qualification requests, updates investigator databases, reviews site performance data, and supports study timelines and business development. Collaborates with internal teams, clients, vendors, and investigators to identify suitable research sites and meet project goals.

Manages clinical trial sites throughout study phases, serving as the primary site contact. Conducts remote and on-site monitoring, supports site selection and activation, ensures protocol and GCP compliance, reviews regulatory documentation, protects participant safety, evaluates site performance, resolves issues, maintains trial systems, and supports audits and inspection activities. Oncology monitoring experience, at least two years of direct site monitoring experience, a driver’s license, and extensive domestic and international travel are required.

Lead research on recursive self-improvement for an autonomous ML research engine. Define the RSI roadmap, design agent strategies and compute allocation, learn from prior sessions, build evaluations, and compound knowledge across tasks. Conduct rigorous experiments, track frontier agentic LLM research, and ship validated improvements into production systems. The role requires hands-on Python engineering, applied ML research, production deployment experience, and technical leadership of a small research team.