This page tracks remote scientist openings that are location-eligible for New York.
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$75,000 - $100,000
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5 Jobs
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• Provide scientific and technical support for health-related research, programs, and initiatives • Analyze and interpret scientific data • Support research and program activities • Prepare technical documentation • Collaborate with project teams and stakeholders to meet program objectives
• Provides scientific and technical support for health-related research, programs, and initiatives • Analyzes and interprets scientific data, supporting research and program activities • Prepares technical documentation, and collaborates with project teams and stakeholders to meet program objectives while ensuring compliance with applicable federal requirements
• Contribute to ongoing research using Lagrangian modeling to understand sources and sinks of trace gases and other air pollutants, through independent completion of both externally and self-directed research tasks • Expand existing research interests and capabilities beyond this initial project's immediate goals • Regularly develop innovative techniques to apply existing satellite and model datasets, or create new observational datasets, to answer scientific questions • Show adaptability in performing research tasks outside their immediate research area as needed with minimal spin-up time • Develop their own externally funded research program through research grant proposals and contracts with non-profit and industry clients
At Cytovale, we’re focused on more rapid and insightful ways to diagnose fast-moving and immune-mediated diseases.
• Serve as a primary technical resource during the pre-sales process • Present IntelliSep technology and its clinical value confidently to laboratory stakeholders • Deliver engaging presentations and live instrument demonstrations • Develop strong relationships with laboratory leaders and key stakeholders • Address customer questions and concerns related to implementation and operational impact • Support customer implementations from project kickoff through go-live and post-implementation support • Deliver comprehensive and structured operator training • Troubleshoot and resolve technical, workflow, and operational issues • Provide ongoing consultation and support to maximize customer success
• Critically evaluate ML model outputs to ensure alignment with financial theory and real-world market dynamics, while accounting for client-specific objectives, constraints, and investment frameworks. • Translate research signals into actionable investment strategies and portfolio construction frameworks. • Collaborate with ML researchers to refine models, incorporating financial domain expertise and contributing to model design where needed. • Design, prototype, and scale quantitative models using Python and Java, maintaining a high standard for code quality and modularity. • Contribute to the financial validation layer of the R&D cycle by developing and maintaining test frameworks that identify inconsistencies and support continuous model improvement. • Translate complex portfolio objectives into rigorous, testable modeling specifications that bridge the gap between investment intent and algorithmic execution. • Collaborate across technical workstreams to ensure research outputs are aligned with investment objectives and successfully integrated into production workflows.
Python, Java
