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Data Science Expert | Scientific R&D | PhD-Level
NYC | Hybrid, 3 days a week on site
Salary: OPEN Highly paid salary for Outliers in this field
Full relocation & immigration support available for qualified candidates



We're seeking an advanced technical contributor with a Ph.D. and a strong foundation in life sciences to join a high-caliber, interdisciplinary R&D team working at the forefront of computational drug discovery.

Role Summary:
In this position, you'll collaborate directly with a world-class machine learning and scientific computing group to drive a data-first strategy in therapeutic innovation. Your focus will be on the design, acquisition, curation, and in-depth analysis of complex scientific datasets primarily biological and chemical to accelerate discovery pipelines through data insights and predictive modeling.

Ideal Background:

• Ph.D. in medicinal chemistry, pharmacology, computational biology, or a related discipline
• Proven wet lab experience with a solid grasp of assay development and experimental design
• Strong understanding of drug discovery workflows, including early-stage R&D
• Comfortable working in Unix/Linux environments; scripting proficiency in Python or similar languages
• Industry experience in pharma/biotech is a strong advantage

What You'll Work On:

• Curate and optimize structured/unstructured datasets for use in AI/ML pipelines
• Collaborate with ML engineers and domain scientists to align data assets with predictive models
• Implement scalable data solutions to support large-scale simulations and molecular modeling efforts
• Contribute scientific insight to inform data-driven decision-making in therapeutic development

Tech-forward Environment Includes:

• High-performance computing systems tailored for molecular dynamics and large-scale simulation
• Application of machine learning and computational chemistry techniques in real-world R&D
Collaborative ecosystem that blends deep science with cutting-edge engineering

Ready to contribute your expertise where science meets data at scale? This is an opportunity to work on some of the most complex and high-impact challenges in computational drug design.

Ph.D.-level Data Scientist or Computational Biologist sought for a hybrid NYC-based role in scientific R&D. Collaborate with machine learning teams on drug discovery, data curation, and large-scale biological and chemical dataset analysis. Ideal candidates have pharma or biotech experience, Python skills, and expertise in assays or molecular modeling. Work in a high-performance computing environment on cutting-edge therapeutic development projects. Competitive compensation ($200K $240K) with relocation, bonuses, and immigration support. Join a leading scientific innovation team.