77 Research Scientist jobs in United States available for remote work from home. Apply for positions such as Research Scientist, Research Scientist, Research Scientist and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Conduct original research to advance the understanding, evaluation, and routing of large language models using massive real-world datasets. Design novel evaluation frameworks and develop the statistical foundations for intelligent model selection and routing systems.
Conduct deep technical research to align artificial superintelligence through empirical and theoretical methods. Responsibilities include designing experimental protocols, proving conjectures, and communicating findings via papers and presentations.
Develop and implement physics-informed machine learning models to forecast glacier ice flow and its impact on sea level rise. Process large-scale observational and synthetic datasets to run numerical simulations of ice dynamics.
The Senior Research Scientist independently designs and executes advanced research experiments or computational analyses to achieve project objectives. They are also responsible for interpreting results, writing publications, and providing supervision and instruction to technical staff and students.
The Research Scientist will apply machine learning to Navy numerical weather prediction development and testing. Responsibilities include evaluating high-resolution AI weather systems, transitioning global ML models into operations, and investigating multiscale predictability of atmospheric phenomena.
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The Senior Research Scientist will lead complex evidence synthesis projects, including the development of study protocols, technical reports, and statistical analysis plans. They are also responsible for managing client communications, delegating tasks to junior researchers, and providing mentorship within the team.
You will identify and scope opportunities for foundation model research while executing the development roadmap for fraud detection solutions. Additionally, you will manage the full model lifecycle from data preparation and pre-training to deployment and performance monitoring in a production environment.
The Managing Research Scientist supervises a research team, overseeing hiring, training, and performance while ensuring quality standards and project deadlines are met. They also lead quantitative research, develop statistical methods, and disseminate findings through peer-reviewed publications and presentations.
The Managing Research Scientist will independently perform quantitative analyses, manage research project scopes and timelines, and supervise team members. They are responsible for research dissemination, including drafting manuscripts, presenting findings, and leading scientific collaborations.
The role involves designing and executing rigorous clinical research while managing research programs and study operations. You will translate real-world clinical data into actionable insights and coordinate cross-functional study activities from initiation through close-out.
The HEOR research scientist will develop and execute health outcomes research strategies to support drug development, access, and product differentiation within the oncology portfolio. They will lead cross-functional evidence planning and communicate complex scientific data to internal and external stakeholders.
The HEOR research scientist will develop and oversee health outcomes research strategies to support drug development and commercialization across the oncology portfolio. They are responsible for executing high-impact scientific studies and communicating findings to internal and external stakeholders to influence access and reimbursement decisions.
The HEOR research scientist leads the development and execution of health economic and real-world evidence strategies to support the oncology portfolio. They are responsible for managing a team of scientists, driving research dissemination, and influencing cross-functional business partners to achieve strategic goals.
Conduct novel research in Protocol Learning with the goal of publishing in tier-1 ML conferences. Own and solve a specific technical problem that blocks Protocol Learning at scale.
You will build and improve fraud risk models and scoring systems using audio, behavioral, and metadata signals to enhance scam detection. Additionally, you will partner with engineering teams to transition research into production and support high-priority fraud investigations.
Develop and deploy efficient, performant models and data pipelines for petabyte-scale multimodal data extraction and curation. Collaborate with researchers and ML engineers to scale production pipelines and contribute to foundation model training methodologies.
Own a multimodal ML work-stream from problem definition through experimentation, evaluation, deployment, and iteration. Partner with engineering to productionize models and communicate research findings to technical and clinical stakeholders.
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The manager will lead the strategic planning, implementation, and evaluation of continuous quality improvement (CQI) systems across various practice models. They will also supervise data staff, manage stakeholder relationships, and oversee the development of CQI reports and research publications.
The Clinical Research Scientist develops post-market clinical research strategies and evidence generation plans for orthopedic devices to ensure compliance with EU MDR. They also manage clinical study documentation, facilitate cross-functional reviews, and foster relationships with clinical stakeholders to support regulatory requirements.
The Senior Research Scientist will serve as a trusted advisor to school districts and internal stakeholders, leading research consulting engagements from scoping to delivery. They will translate complex technical research and assessment data into actionable guidance while contributing to the organization's broader research agenda.
The research scientist will lead research work across the lab, co-develop lab strategy, and coordinate systems for activities across various workstreams. Responsibilities include designing measurement instruments, coordinating multi-site data collection, and developing grant proposals and manuscripts.
The research scientist will lead research work across the lab, co-develop lab strategy, and coordinate systems for activities across various workstreams. Responsibilities include designing measurement instruments, coordinating multi-site data collection, and developing grant proposals and manuscripts.
The Principal, Market Research Scientist serves as the organization's expert on quantitative research methodology, establishing analytical standards and best practices. They advise research teams on study design, sampling, and statistical approaches while mentoring staff and representing the company's expertise to clients.
The research scientist will lead efforts to discover insights regarding AI capabilities and proclivities using existing data and infrastructure. They will also scale the AI Village project to demonstrate long-horizon agentic capabilities and study emergent model behaviors.
The Associate Research Scientist will lead real-world evidence studies by preparing and performing data analyses and developing study protocols. They will serve as the analytics expert on cross-functional project teams and communicate results to internal and external stakeholders.
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The Associate Research Scientist will lead real-world evidence studies, including developing protocols, preparing analytic datasets, and performing data analyses. They will serve as the analytics expert on cross-functional project teams and communicate study results to internal and external stakeholders.
The Research Scientist will apply ligand and structure-based computational techniques to support drug discovery efforts across hit identification and lead optimization. They will collaborate with cross-functional teams to integrate machine learning models and structural hypotheses into actionable molecular designs.
You will lead end-to-end research and development of a foundation model for construction drawings, from architecture design to production deployment. This involves running rigorous experiments, collaborating with cross-functional teams, and shipping high-accuracy models to real customers.
You will work with proprietary clinical data to build and evaluate reasoning models that improve physician workflows. Additionally, you will own the end-to-end training and evaluation pipeline while publishing technical reports and benchmarks.
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