Senior Data Scientist, Technical Development Data Analytics

About the role

Cabaletta Bio is seeking a Senior Data Scientist, Technical Development Data Analytics, to join its Technical Development organization in a growing biotechnology/pharmaceutical company. The role works at the intersection of CMC science and data analytics, partnering with Process Development, Analytical Development, Manufacturing, Quality, Supply Chain and other teams to turn complex datasets into actionable scientific insights. It is a hybrid position based in Philadelphia.

Key responsibilities

• Partner with CMC subject matter experts to define scientific and technical questions that can be answered with data science, integration, visualization, statistical analysis and modeling.
• Analyze data across process development, analytical development, manufacturing, raw materials and product quality to improve process and product understanding.
• Build visualizations, dashboards and analytical workflows so scientists and technical leaders can explore data and make informed decisions.
• Help establish scalable, reproducible approaches for organizing, integrating, analyzing and visualizing CMC data from internal and external sources.
• Develop reusable analytical workflows, tools and best practices.
• Lead data-focused projects independently, from problem definition through analysis, interpretation, visualization and communication of conclusions.
• Communicate analytical approaches, assumptions, limitations and conclusions clearly to technical and non-technical stakeholders.
• Explore advanced analytics, automation, machine learning and AI-enabled approaches to CMC challenges.

Required profile

• Ph.D. or M.S. in Data Science, Statistics, Computer Science, Bioinformatics or another relevant scientific, engineering, computational or quantitative discipline.
• 2+ years of relevant industry experience (with a Ph.D.) or 5+ years (with an M.S.) preferred; equivalent demonstrated experience is encouraged.
• Demonstrated experience using data to solve complex scientific or technical problems.
• Experience with biotechnology, pharmaceutical development, biologics, cell and gene therapy, GxP/regulated manufacturing or other advanced therapeutic modalities is preferred.

Required skills

• Statistical analysis, experimental design, data visualization and analysis of complex scientific datasets.
• Design of Experiments (DoE), continued process verification (CPV) or statistical process control (SPC) is a plus.
• Tools such as JMP, Python, R, SQL, Spotfire, Power BI or Tableau, or equivalent platforms.

What we offer

• Health and retirement benefits.
• PTO.
• Stock option plans.