Director, Data Science

Rhythm Pharmaceuticals • Boston, MA

66d • Hybrid

About The Position

We are seeking a highly motivated and experienced Director of Data Science to lead data-driven initiatives in support of our clinical, regulatory, and scientific objectives. The successful candidate will have a strong background in biostatistics, genetics, and data analytics, and will be responsible for developing and implementing advanced data models, predictive tools, and integrative analyses across the obesity and metabolic disease therapeutic area. This role will work collaboratively with key inter-disciplinary stakeholders (e.g. biostatistics, clinical development and regulatory affairs) to drive the generation of actionable data insights to support enterprise-wide goals and initiatives. This position offers the opportunity to shape data strategy at a growing biotech and directly impact research, development, and regulatory decision-making.

Requirements

• Ph.D. in Biostatistics, Computational Biology, Genetics, Data Science, or related quantitative field.
• 8+ years of industry experience in biotechnology, pharmaceuticals, or healthcare analytics, with demonstrated leadership in cross-functional projects.
• Experience with obesity/metabolic-related biology and datasets
• Strong programming and data manipulation skills in SQL, Python, and R.
• Proven expertise in biostatistics, statistical genetics, and predictive modeling.
• Experience integrating and analyzing clinical trial and biomarker datasets.
• Experience handling population-scale genomics datasets (e.g., UKB, AoU); familiarity with the ACMG classification system; statistical analysis of rare variants.
• Familiarity with real-world data, electronic medical records, omics analysis, and data visualization platforms.
• Excellent communication skills with the ability to translate data findings into strategic insights for diverse stakeholders.
• Demonstrated ability to work independently, prioritize effectively, and deliver high-quality results under deadlines.
• Track record of innovation, scientific rigor, and collaboration across multidisciplinary teams.
• Leadership experience in a matrixed environment or managing small teams.

Responsibilities

• Lead the design, development, and implementation of data analysis pipelines, predictive models, and statistical frameworks to support research, clinical, and regulatory programs.
• Partner cross-functionally with Biostatistics, Clinical, Regulatory, and Market Access teams to ensure data insights align with organizational priorities.
• Oversee data processing, curation, and integration from clinical trials, biomarker studies, and external datasets.
• Translate complex data outputs into actionable insights to inform publications, protocol development, and regulatory submissions.
• Ensure data quality, reproducibility, and compliance with company and industry standards.
• Provide scientific and technical leadership for the use of statistical genetics, machine learning, and advanced analytics in biomarker and outcomes research.
• Mentor and guide junior scientists and analysts in the use of SQL, Python, and R for statistical modeling, data visualization, and automation.
• Collaborate with internal and external stakeholders to drive innovation in data science applications and contribute to the company's broader data strategy.

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Industry: Chemical Manufacturing
• Education Level: Ph.D. or professional degree
• Number of Employees: 101-250 employees