Location: New York, NY (Hybrid)
Compensation: $200,000 – $240,000 Base + Performance Bonuses
The Opportunity
We are seeking an exceptionally talented Ph.D.-level scientist to join our interdisciplinary research team in New York City. This role offers a unique opportunity to bridge the gap between bench science and cutting-edge computational modeling.
As a Principal Scientist, Translational Data, you will be a key architect of our scientific data strategy, working in close collaboration with our Machine Learning (ML) team. Your work will directly influence how we identify, curate, and analyze the complex biological and chemical datasets that fuel our drug discovery and development pipeline. You will operate at the intersection of high-performance computing—leveraging proprietary supercomputing technology—and advanced molecular dynamics to design therapies for significant human diseases.
Key Responsibilities
Data Strategy & Curation: Design, identify, and curate high-quality scientific datasets (primarily chemical and biological) to support large-scale ML and computational modeling efforts.
Cross-Functional Collaboration: Serve as the scientific subject matter expert for the ML team, ensuring that data pipelines are biologically relevant and scientifically rigorous.
Analytical Research: Analyze complex experimental data from diverse sources to extract actionable insights for drug discovery projects.
Project Support: Support the end-to-end drug discovery process by integrating laboratory-derived data with advanced molecular dynamics simulations.
Innovation: Contribute to the development of new methodologies for data-driven drug design in a dynamic, fast-paced environment.
Qualifications & Requirements
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Core Educational Requirements< data-path-to-node="13">
Technical ExperienceHands-on Laboratory Expertise: Proven experience in a laboratory setting with a deep understanding of assays and techniques relevant to drug discovery.
Data Proficiency: Ability to interpret and clean complex experimental data for use in computational models.
Industry Knowledge: Prior experience within the pharmaceutical or biotechnology sectors is highly preferred, particularly direct involvement in drug discovery projects.
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Technical Skills (Desirable)Programming: Proficiency in Python for data manipulation and analysis.
Environment: Comfortable working within Linux environments.
Computational Literacy: Familiarity with molecular dynamics, structural biology, or cheminformatics tools.
Culture & Benefits
We pride ourselves on a stimulating, positive, and collaborative work environment where innovation is the baseline.
Compensation: Competitive base salary ($200k–$240k) supplemented by sign-on and year-end bonuses.
Hybrid Work: A flexible schedule with core in-office days (Tuesday–Thursday) and remote options (Monday/Friday).
Full Support: Comprehensive benefits package including relocation assistance and immigration support where applicable.
Resources: Access to world-class proprietary supercomputing hardware and high-speed commodity clusters.
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