- Company Name
- Rhythm Pharmaceuticals Inc.
- Job Title
- Director, Data Science
- Job Description
-
Job title: Director, Data Science
Role Summary: Lead data science strategy and execution for obesity and metabolic disease programs in a commercial‑stage biopharmaceutical company, delivering advanced analytical solutions that inform clinical, regulatory, and scientific decisions.
Expectations: Design and implement robust data pipelines, predictive models, and statistical frameworks; collaborate with biostatistics, clinical development, regulatory, and market access teams; provide actionable insights for publications and regulatory submissions; mentor junior staff and drive innovation in data science applications.
Key Responsibilities:
* Build and deploy end‑to‑end data analysis pipelines integrating clinical trial, biomarker, and external datasets.
* Develop and validate predictive models, statistical genetics analyses, and machine learning tools supporting biomarker discovery and outcomes research.
* Collaborate cross‑functionally to align data insights with research, clinical, regulatory, and market access objectives.
* Translate complex model outputs into strategic insights for regulatory submissions, protocol design, and publications.
* Ensure data quality, reproducibility, and adherence to internal standards and industry regulations.
* Mentor and supervise junior scientists and analysts in SQL, Python, and R; promote best practices in data visualization and automation.
* Contribute to the organization’s data strategy and foster innovation with internal and external stakeholders.
Required Skills:
* Ph.D. in Biostatistics, Computational Biology, Genetics, Data Science, or related quantitative discipline.
* 8+ years of industry experience in biotech, pharma, or healthcare analytics with demonstrated leadership on cross‑functional projects.
* Expertise in biostatistics, statistical genetics, predictive modeling, and machine learning.
* Proficiency in SQL, Python, and R for data manipulation, modeling, and visualization.
* Experience integrating and analyzing clinical trial, biomarker, and population‑scale genomics data (e.g., UK Biobank, All of Us).
* Familiarity with ACMG variant classification, real‑world data, electronic medical records, and omics analysis.
* Strong communication skills to translate data results into actionable strategic insights for diverse audiences.
* Proven ability to work independently, prioritize, and deliver high‑quality results on strict timelines.
* Leadership in a matrixed environment and experience managing a small team.
Required Education & Certifications:
* Ph.D. (or equivalent) in Biostatistics, Computational Biology, Genetics, Data Science, or a related quantitative field.
* No specific professional certifications required, though evidence of advanced statistical or bioinformatics training is preferred.