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

Perform onsite and remote clinical site monitoring (PSV, SIV, IMV, COV), ensure protocol and regulatory adherence, manage study documentation and audit readiness, mentor junior staff, support site selection and RFPs, and contribute to clinical operations and SOP development across multiple protocols with significant travel.

Paid remote research study recruiting senior design professionals to participate in structured, recorded sessions (4-5 hours) to discuss design decision-making, critique, quality standards, and readiness to ship. Participants may act as interviewees or interviewers. Requires a professional portfolio and strong ability to articulate design rationale and trade-offs.

Serve as the Research division’s strategic partner to university executives, building relationships, creating success plans, driving partner utilization and outcomes, supporting renewals and growth, onboarding partners, and representing partner needs internally. Facilitate presentations, advise on strategy, and use Gainsight and Salesforce to report partner health while traveling to campuses and conferences as needed.

Design and train foundation vision-language models that read entire CT studies end-to-end. Build custom PyTorch architectures and distributed training pipelines, run large-scale experiments, evaluate models for clinical safety, and move models through FDA submission to hospital deployment.

Remote, contract equity research role requiring at least 2 years' experience at top firms. Analyze and extract information from public SEC filings. Minimum 10 hours/week for at least four weeks. Independent-contractor engagement with weekly payments via Stripe or Wise. U.S./Canada-based applicants only; no H-1B or STEM OPT sponsorship.

Conduct statistical analysis on market data to create predictive trading models and strategies, encompassing research and development cycles in equity trading.

The Quantitative Developer Intern will design and implement low-latency trading platforms and high-performance backtesting frameworks using C++ and Python in a cloud environment.

Assist senior quantitative researchers with strategy design and market analysis using statistical methods on financial data.

The Junior Quantitative Researcher will assist in improving trading strategies, conduct quantitative research, and analyze financial data to identify alpha patterns.

The Senior Clinical Research Associate manages monitoring for cardiovascular clinical trials, ensuring compliance with FDA regulations and guiding teams to resolve site issues effectively.

The Technology Research Analyst will author research reports, conduct market analysis, and represent ABI Research in various forums while collaborating on custom research projects.

As a Research Associate at Merge Labs, you will conduct experiments in molecular biology, protein biochemistry, cell biology, and neuroscience, while collaborating across disciplines to advance core biological research and build experimental capabilities.

The role involves designing de novo frameworks for molecular engineering, collaborating across teams to optimize data-driven biological experiments and integrating ML models with experimental systems.

Role involves monetising alpha through execution strategies in futures markets, developing execution logic, collaborating on research, and monitoring strategies' performance.

The Research Scientist will design frontier benchmarks and datasets, collaborate across teams, communicate findings, and represent Snorkel's research externally.

The Senior R&D Specialist leads technology development, conducts feasibility studies, and mentors teams while ensuring projects align with strategy and standards.

The role involves conducting applied research, prototyping, and testing innovative technologies while collaborating with senior experts and ensuring project compliance with standards.

The Senior ML/Research Scientist will develop wearable neurotechnologies, focusing on digital biomarkers and applications for neurological conditions through research and collaboration.

Lead research on humanistic AI for autonomous systems. Collaborate with teams, design experiments, and publish findings in top-tier publications.

As a Research Engineer in Sensor Simulation, you will develop multi-sensor rendering systems for self-driving technologies, collaborate with scientists and engineers, and work on innovative solutions using machine learning and neural rendering techniques.

Lead research and algorithm design for large-scale ranking, personalization, recommendation, ads targeting, causal uplift, dynamic pricing, and revenue forecasting. Design, train, evaluate, and productionize state-of-the-art ML, deep learning, and RL models (including transformer/LLM hybrids) on cloud platforms, establish experimental standards, and mentor research engineers.

Manage ethics and compliance screening for research and evaluation activities. Conduct IRB and PRA/OMB intake reviews, assess protocols and data collection for participant protections, prepare recommendation and documentation, coordinate with stakeholders, and support dissemination and process improvements for research governance in a crisis line/public health context.

Perform data exploration and analysis on large structured and unstructured datasets using SQL and Python. Clean and process data, build dashboards and reports with Power BI and Tableau, consult with stakeholders to gather requirements, and communicate findings to end users. Work in a hybrid Arlington, VA environment supporting federal clients.

Support IRS projects by developing, validating, and deploying predictive and statistical models on large tax and financial datasets. Perform data cleaning, feature engineering, anomaly detection, and risk scoring using Python/R, SQL, and Databricks. Communicate results to stakeholders and collaborate with cross-functional teams to inform audit prioritization, fraud detection, and compliance efforts.

Develop, validate, and deploy statistical and machine learning models on large structured and unstructured tax datasets to detect fraud, prioritize audits, and score compliance risk. Clean and explore data, perform feature engineering, collaborate with stakeholders, and present technical findings to diverse audiences.