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# Research PhD Scientist, Drug Discovery Data for AI/ML

- **Company:** StaffRight Associates
- **Location:** New York, United States (Remote available)
- **Experience:** Expert
- **Salary:** $250,000.0
- **Contract:** Permanent contract
- **Skills:** Linux, Python (Programming Language), Machine Learning, Data Strategy
- **Published:** August 9, 2026
- **Apply:** https://www.dice.com/job-detail/dc3f1431-1158-4db5-9102-7c094473eb1d

## About the Role

* Academic Pedigree: Ph.D. in Medicinal Chemistry, Pharmacology, Biology, or a related STEM discipline.
 * Technical Mastery: Strong command of core concepts and tools such as Chemical Datasets, Biological Datasets, Assay Development, Linux, Python, Molecular Dynamics, and Machine Learning.
 * Analytical Precision: Proven track record of solving multi-faceted problems, supported by hands-on laboratory experience in an industry setting (5+ years in pharmaceutical or biotech companies preferred).
 * Agile Mindset: Ability to balance rigorous scientific standards with fast-paced, autonomous execution under pressure in an interdisciplinary environment.

## Description

* Architect & Build: Design, identify, curate, and analyze proprietary scientific datasets (primarily chemical and biological) to shape and implement the firm''s overarching drug discovery data strategy.
 * Data & Research Execution: Translate complex scientific datasets and abstract biological/chemical challenges into clear, scalable, high-performance frameworks to support machine learning models.
 * Systemic Optimization: Identify technical friction points in data curation pipelines, eliminate bottlenecks, and enhance operational velocity across high-concurrency computational environments.
 * Cross-Functional Collaboration: Serve as a key technical interface, working directly with machine learning researchers, computational scientists, and leadership to support internal and collaborative drug discovery programs.


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