67 Research Scientist jobs in United States available for remote work from home. Apply for positions such as Associate Research Scientist, Real World Evidence, Associate Research Scientist, Real World Evidence, Research Scientist II/Senior, Computational Chemistry and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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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.
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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The AI Research Engineer will design and ship advanced machine learning systems that bridge cutting-edge research with production engineering. This role involves managing the full lifecycle of AI projects, from problem framing and experimentation to deployment and continuous improvement.
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.
The Research Scientist will design and implement computational workflows to investigate catalytic cycles, reaction mechanisms, and structure-selectivity relationships. They will also collaborate with interdisciplinary teams to develop large-scale datasets and machine learning models for homogeneous catalyst discovery.
The Principal Research Scientist is responsible for developing, validating, and optimizing bioanalytical methods while coordinating laboratory activities. They also supervise and mentor scientific staff to ensure compliance with corporate policies and operational objectives.
The role serves as the scientific bridge between generative chemistry workflows and external partners to develop PFAS-free semiconductor materials. Key duties include running discovery workflows, ranking candidate molecules, and translating experimental feedback into technical improvements.
Lead and support program evaluation and research projects focused on STEM, data science, and AI education from kindergarten through adulthood. Manage the full research lifecycle, including project design, data collection, analysis, and the preparation of reports and funding proposals.
Direct advanced research in NLP and LLM safety to protect the public from AI system harms. Lead the design of experimental studies, secure research funding through proposals, and serve as a principal investigator for digital safety programs.
Develop fault-tolerant quantum solutions and core IP to solve complex real-world problems across various industry verticals. Collaborate with internal and external partners to define quantum workflows and represent the company at technical conferences.
Develop and execute accelerated imagery preprocessing pipelines and workflows for finetuning large geospatial vision models. Collaborate on multidisciplinary teams to advance GeoAI methods and communicate results through technical reports and peer-reviewed publications.
The role involves providing technical and programmatic support to NIST's Forensic Science Research Program by documenting practices and strengthening national standards. Key tasks include facilitating process mapping working groups, auditing standards, and identifying opportunities for AI integration in forensic workflows.
Conduct groundbreaking research in generative audio focusing on vocal synthesis, post-training alignment, and audio editing. Collaborate with cross-functional teams to develop artist-first AI music products and publish findings in the research community.
The role involves designing and executing clinical outcomes research and analyzing large datasets to improve care delivery. The scientist will collaborate cross-functionally to support evidence-based decision-making and manage regulatory compliance including IRB submissions.
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Design simulation environments and post-train LLM agents using advanced RL methods like RLHF, DPO, and PPO. Architect multi-turn tool-using agents and set technical standards through mentorship and code reviews.
Serve as a pathology subject-matter expert to support biomarker and diagnostic programs, including companion diagnostics and molecular pathology. Translate clinical and histopathologic knowledge into actionable guidance for AI/ML model design, validation, and interpretation.
Design and develop machine learning models to enhance content metadata and improve the discovery experience for members. Collaborate with cross-functional teams to operationalize AI solutions and shape the strategy for content merchandising.
The Research Scientist III analyzes emergency response data to develop models and findings that support fire safety science. They are responsible for creating data visualizations, written reports, and reusable data products to enhance the Fire Safety Research Institute's thought leadership.
Lead the development and scientific integrity of the AI-powered Jobs Engine to produce scalable job analysis insights. Act as the primary expert bridging I-O psychology and machine learning to ensure AI implementations are defensible and effective for employee selection and development.
Design and develop geometry processing and simulation algorithms for engineering applications. Build services for processing 2D/3D engineering data and implement post-training workflows for machine learning models.
Lead independent research projects in sequence and generative modeling to advance the state of the art in audio and music. Design rigorous experiments and publish findings at top-tier AI venues while collaborating with engineering teams to improve Smule's products.
Develop and adapt state-of-the-art ML techniques to solve product challenges in audio processing, recommendation, and generative music. Design rigorous experiments and build prototype models to improve user experience and product quality.
The role focuses on building and optimizing models that evolve in real-time through cross-stack collaboration across software, hardware, and algorithms. The scientist will drive innovation to create intelligent systems capable of efficient real-world interaction.
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Conduct cutting-edge research on frontier LLMs, embedding models, and rerankers to improve unstructured data search. Innovate within the LLM agent paradigm and collaborate with research engineers to deploy models into production.
The role involves researching, adapting, and evaluating foundational models to enhance collective intelligence within the COGENT architecture. You will design experiments, ensure model accuracy and safety, and translate frontier AI research into dependable product capabilities.
The Research Data Scientist will conduct independent and collaborative research in Generative AI, LLMs, and NLP to develop evaluation frameworks and analytical prototypes. They will also translate complex research findings into actionable AI/ML solutions while collaborating with cross-functional teams to improve model performance.
The scientist will lead R&D projects from concept through commercialization, including pilot runs and production start-ups. They will also collaborate cross-functionally to solve technical manufacturing challenges and advance innovation opportunities.
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