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Senior Data Scientist, Technology Development, Data Analytics
Cabaletta Bio. Partner with CMC subject matter experts to identify scientific and technical questions addressable through data science, data integration, visualization, statistical analysis, and modeling .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data science and statistical analysis, with proficiency in tools such as JMP, Python, R, and SQL for addressing complex scientific questions. Capable of developing visualizations and analytical workflows to support decision-making in CMC processes.
Highest-signal resume keywords
Data ScienceStatistical AnalysisData VisualizationJMPPython
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical AnalysisData IntegrationData ModelingExperimental DesignData ExplorationTrend IdentificationMachine LearningAutomationComplex Dataset ManagementAnalytical Workflow Development
Soft Skills
Strong Communication SkillsCollaborationProblem-SolvingInitiativeOwnership
Tools & Technologies
JMPPythonRSQLSpotfirePower BITableau
Industry Keywords
BiotechnologyPharmaceutical DevelopmentBiologicsCell and Gene TherapyGxPRegulated ManufacturingAdvanced Therapeutic Modalities
Tech Stack
Tools & technologiesPythonSQLTableau
About the role
Key responsibilities & impact- Partner with CMC subject matter experts to identify scientific and technical questions addressable through data science, data integration, visualization, statistical analysis, and modeling
- Integrate and analyze data across process development, analytical development, manufacturing, raw materials, and product quality
- Develop visualizations, dashboards, and analytical workflows for data exploration, trend identification, and decision-making
- Establish scalable and reproducible approaches for organizing, integrating, analyzing, and visualizing CMC data
- Apply statistical and computational tools such as JMP, Python, R, SQL, Spotfire, Power BI, or similar platforms
- Explore advanced analytics, automation, machine learning, and AI-enabled approaches for CMC challenges
- Lead data-focused projects from problem definition and data assessment through analysis, interpretation, visualization, and communication
- Work with complex and imperfect datasets and structure ambiguous scientific questions
- Communicate analytical approaches, assumptions, limitations, and conclusions to technical and non-technical stakeholders
- Develop reusable analytical workflows, tools, and best practices across Technical Development
- Collaborate across functions and contribute to continuous learning, accountability, and open communication
- Perform other related duties as assigned
Requirements
What you’ll need- 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. is preferred; candidates with equivalent demonstrated experience are encouraged to apply
- Demonstrated experience using data to address complex scientific or technical problems
- Strong scientific and quantitative problem-solving skills
- Experience with statistical analysis, experimental design, data visualization, and/or complex scientific datasets
- Experience with Design of Experiments (DoE), continued process verification (CPV), or statistical process control (SPC) is a plus
- Experience with or ability and motivation to learn JMP, Python, R, SQL, Spotfire, Power BI, Tableau, or equivalent platforms
- Ability to independently manage multiple analyses, datasets, priorities, and projects
- Strong written and verbal communication skills and ability to collaborate across scientific and functional disciplines
- Demonstrated initiative, ownership, and motivation to build new capabilities
- Biotechnology, pharmaceutical development, biologics, cell and gene therapy, GxP/regulated manufacturing, or advanced therapeutic modalities experience is preferred
- Must be authorized to work in the United States or address sponsorship requirements as applicable
Benefits
Comp & perks- Competitive benefits
- PTO
- Stock option plans
- Great Place to Work-Certified™ company
- Commitment to employee well-being and continuous growth