Data Science Expert | Scientific R&D | PhD-Level

Career Developers Inc., a distinguished staffing and consulting firm, is proud to celebrate 30 years of service excellence. As a GSA Contract holder, we offer comprehensive staffing solutions for both commercial and government sectors nationwide. By selectively partnering with clients who share our values, we ensure productive collaborations that set us apart in the industry. Our dedication to candidates involves managing expectations with precision through business intelligence, thorough interview preparation, transparent communication, and exceptional feedback throughout the process. We are committed to advancing your career and look forward to supporting your professional growth. 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. #J-18808-Ljbffr