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

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.

Lead applied AI research teams to define long-term research strategy, develop representation and structured-prediction models, and translate prototypes into production. Partner with product, engineering, and design to operationalize scalable, secure Generative AI solutions; ensure ethical AI, data governance, and regulatory compliance; mentor researchers and represent Cisco in external forums.

Partner with university researchers to enable GPU-accelerated training and inference for foundation models, multimodal AI, reasoning systems, and agents. Advise on distributed training, memory/throughput optimization, reproducible workflows, and evaluation; build prototypes, translate lab feedback, and support adoption across NVIDIA platforms. Travel up to 20%.

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.

As a Research Engineer, you'll develop and manage data systems for text-to-speech projects and enhance machine learning models using innovative strategies.

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.

Serve as a subject-matter expert in economic mobility research (TANF, workforce, child support, food security). Lead design and oversight of rigorous evaluations, mentor teams, shape methodologies and research agendas, translate findings for policymakers, and help pursue new opportunities and thought leadership. Part-time, on-call (0–20 hours/week).

Lead end-to-end R&D using multimodal wearable and biomarker data to develop statistical and ML models across sleep, womens health, cardiometabolic health, and activity. Design studies, translate findings into product features, publish scientific manuscripts, and collaborate with Data Science, Product, Engineering, and Clinical partners to drive measurable product impact.

Provide multi-channel donor and volunteer support (phone, email, chat, text, social), coach fundraisers, resolve issues, engage Spanish-speaking communities, capture feedback, and support fundraising campaigns during peak and off-hours.

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.

Provide scientific leadership for research and evaluation of the 988 Lifeline, leading analytic planning, methodological guidance, literature synthesis, IRB coordination, supervising research staff, and producing dissemination materials to translate findings into practice and quality improvement.

Manage international quantitative and qualitative healthcare market research projects end-to-end: client liaison, survey setup and testing, sample management, vendor coordination, data quality checks, budgeting/profitability monitoring, and cross-team collaboration to deliver studies on-time and within budget.

Graduate‑level internship supporting cryospheric remote‑sensing research: extend RTM‑SciML to polarized radiance, generate synthetic Stokes vector datasets with vector RT models, train/evaluate ML retrievals for albedo and melt pond fraction, assess instrument tradeoffs, and produce documentation and recommendations.

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.

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.

Design, develop, validate, and deploy statistical and machine learning models to detect fraud, anomalies, and noncompliance in large tax and financial datasets. Clean and feature-engineer data, run robustness and sensitivity tests, collaborate with stakeholders, and present technical and non-technical findings. Support end-to-end data science lifecycle and productionization in a government environment.

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.

Analyze large structured, semi-structured, and unstructured datasets using SQL and Python; clean and process data; build dashboards and reports with Power BI and Tableau; consult technical and non-technical stakeholders; communicate analysis and deliverables to end users on federal government projects. Must possess IRS Public Trust clearance.

Manage and lead technical teams to deliver data and analytics projects on scope, on time, and within budget; liaise with clients and technical staff; oversee contractual, financial, and resourcing matters and facilitate analytics delivery from design through deployment.

Analyze large structured and unstructured datasets using SQL and Python; clean and process data; build dashboards and reports with Power BI/Tableau; consult stakeholders and communicate findings to end users.

Lead and support full-lifecycle data science projects (forecasting, NLP, classification/regression, optimization). Design production-ready solutions within client environments, consult with stakeholders to define ambiguous problems, communicate technical findings, and develop/teach bespoke analytics training.