Biotech Data Science & ML Executive Leader

Codexis; Redwood City (CA); Vor Ort; USD 240.000 - 320.000; Vollzeit

Zusammenfassung

Codexis seeks an experienced Senior Director of Data Science & Machine Learning to build and lead an integrated capability spanning data science, computational biology, statistical modeling, and ML.

This leader will translate Codexis’ priorities into a multi-year roadmap and apply advanced analytics to questions across enzyme engineering, process development, RNA manufacturing, and digital manufacturing initiatives.

Qualifikationen

• Ph.D. strongly preferred or equivalent record of scientific and technical accomplishment.
• 12+ years of experience applying data science, statistical, or ML methods to scientific/engineering problems; leading technical teams.
• Experience building and guiding high-performing cross-functional programs in a dynamic environment.
• Proficiency in Python; familiarity with R/SQL and data environments.
• Ability to communicate complex technical concepts to diverse audiences and influence without direct authority.

Aufgaben

• Define and own Codexis' multi-year data science and ML roadmap aligned with company priorities.
• Build and lead a high-performing team of data scientists and computational scientists.
• Guide experimental design, model development, data strategy, validation, and deployment.
• Collaborate across Research, Process Development, Manufacturing, Quality, IT, and Operations.
• Present outcomes and portfolio insights to leadership and drive adoption of data-driven decisions.

Kenntnisse

Data science leadership

Machine learning

Strategic roadmap

Cross-functional collaboration

Team building

Communication

Ausbildung

PhD preferred

Quantitative degree

Tools

Python

ML frameworks

SQL

Jobbeschreibung

Codexis seeks an experienced Senior Director of Data Science & Machine Learning to build and lead an integrated capability spanning data science, computational biology, statistical modeling, and ML.

This leader will translate Codexis’ priorities into a multi-year roadmap and apply advanced analytics to questions across enzyme engineering, process development, RNA manufacturing, and digital manufacturing initiatives.