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.
Remote Research Scientist Jobs (106)
Search = Research Scientist
Lead end-to-end research projects using multimodal physiological and behavioral data to drive innovation in digital health. Translate scientific insights into AI/ML-powered models and actionable product features across sleep, women's health, and cardiometabolic health.
The Research Scientist will conduct complex quantitative analyses on LGBTQ+ youth mental health and suicidology to inform scientific understanding and advocacy. They will co-author peer-reviewed manuscripts and present findings to internal and external stakeholders.
Develop and implement scientific models for severe natural hazards such as wildfires, floods, and windstorms. This includes cleaning data, writing modular Python code, and validating model components against historical events.
The Research Scientist will lead a dedicated research portfolio focused on data quality, online methodologies, and the impact of AI on research. They will collaborate with academic and industry partners to produce high-grade, publishable research and disseminate findings at conferences and events.
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The Research Scientist will design, execute, and analyze empirical research focusing on the religious, social, and psychological dynamics of Muslim populations globally, leveraging both quantitative and qualitative methods. This role involves managing the full study lifecycle, from instrument design and data collection to advanced statistical analysis and producing peer-reviewed publications.
The core responsibility is solving hard research problems within Protocol Learning and publishing foundational papers in Tier-1 Venues. This involves advancing the state-of-the-art in decentralized training of large models.
Develop advanced analytics and decision science frameworks to translate complex business problems into actionable recommendations for Star Rating performance. Create simulation and prioritization frameworks to quantify risks and benefits impacting Medicare Advantage members.
Advance the frontier of detectable and measurable AI risks by developing adversarial attack libraries and evaluation methodologies. Translate research findings into engineering specifications for productization and represent the company at conferences and regulator briefings.
The role involves using AI/ML techniques to enhance numerical weather prediction and atmospheric transport and dispersion modeling for national security. Responsibilities include designing next-generation environmental modeling systems and managing data pipelines for CBRNE scenarios.
Design and execute post-training experiments on frontier LLMs using SFT and preference-based methods. Translate raw annotation artifacts into training datasets and develop new reward signals to improve model performance.
Applied Research Scientist, LLM Evaluation & Post-Training
Innodata Inc.
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Full Time
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4 Days Ago
Innodata Inc.
Lead research and experimentation on LLM evaluation and post-training methods to drive model improvement. Design rigorous frameworks, benchmark datasets, and scoring methodologies for multimodal and large language models.
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.
Establish and execute the research and publication strategy to demonstrate the impact of Headway's network through rigorous, public-facing research. Lead the clinical research function by developing roadmaps, conducting strategic analysis, and collaborating with cross-functional teams to influence corporate strategy.
Criminal Justice Administration and Policy Research Scientist
The Ohio State University
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Full Time
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6 Days Ago
The Ohio State University
Lead and grow the Consortium to Advance Police Supervision (CAPS) by providing strategic direction and field engagement with law enforcement agencies. Conduct applied research on public safety and translate findings into actionable resources for practitioners and policymakers.
Quantum Error Correction Research Scientist (Quantum Processor)
Anyon Systems Inc.
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Full Time
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1 Week Ago
Anyon Systems Inc.
Develop error models based on experimental data and analyze the impact of control errors on logical qubit performance. Guide calibration priorities to align with long-term fault-tolerant goals and support the overall roadmap.
Research Scientist – Reasoning Models for Physical Systems (AI Software Tools)
Anyon Systems Inc.
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Full Time
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1 Week Ago
Anyon Systems Inc.
Design and implement reasoning and planning models for complex physical systems to move beyond black-box optimization. Collaborate with quantum control teams to integrate domain knowledge and constraints into AI architectures.
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Lead research programs to define evaluation-driven post-training workflows and develop rigorous benchmark frameworks for LLMs and multimodal systems. Partner with AI organizations and internal teams to translate research findings into actionable model improvements and scalable pipelines.
Research Scientist III – QA-QC
Lucas James Talent Partners
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Full Time
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1 Week Ago
Lucas James Talent Partners
The Research Scientist III analyzes emergency response data to develop models and findings that support fire safety research. They are responsible for ensuring data quality, developing automated validation scripts, and preparing technical reports and visualizations.
Research Scientist III - Data Analyst
Lucas James Talent Partners
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Full Time
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1 Week Ago
Lucas James Talent Partners
The Research Scientist III analyzes emergency response data to develop models and preliminary findings supporting fire safety science. They are responsible for creating data visualizations, written reports, and standardized data models to enhance thought leadership at UL Research Institutes.
Research Scientist III- Data Analyst - Fire Safety Research Institute
UL Research Institutes
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Full Time
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1 Week Ago
UL Research Institutes
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.
Research Scientist III - QA-QC - Fire Safety Research Institute
UL Research Institutes
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Full Time
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1 Week Ago
UL Research Institutes
The Research Scientist III analyzes emergency response data and develops models to support fire safety science research. They are responsible for creating automated test datasets, ensuring data quality governance, and preparing technical reports and visualizations.
Research and develop radiation transport models to improve atmospheric radiative transfer capabilities for multi-physics models. Document findings and present work to the modeling community while staying current with numerical method advances.
The role involves using modeling, statistics, and data analysis techniques to generate insights from diverse big data sources to inform business decisions. The scientist will develop systems to analyze unstructured data and communicate findings to the leadership team to enhance product and client services.
Develop and integrate novel AI algorithms and models to augment physics-driven modeling and simulation systems for space sustainability. Collaborate with cross-functional teams to build mission-critical decision-support tools and contribute to technical publications and patents.
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.
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Design simulation environments and digital twins for enterprise workflows. Mentor researchers and engineers while translating research into production.
Develop and refine deep learning models for protein-ligand co-folding and structure prediction to advance drug discovery. Collaborate with multidisciplinary teams to integrate these models into scalable, production-ready workflows and publish research findings.
The role involves conducting fundamental research in AI/ML to solve complex business challenges and translating those findings into scalable product impact. The scientist will also engage with the academic community through publications and mentor junior researchers and interns.
Research Scientist, Department of Plant Sciences - UTIA
University of Tennessee
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Full Time
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2 Weeks Ago
University of Tennessee
Lead the design, development, and testing of a robotic inventory system for counting and measuring trees. Responsible for writing complex Python programs and authoring multiple scientific manuscripts to document project success.
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