3 дня назад
Senior Data Scientist (Biotechnology)
170 000 - 210 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Scientist (Biotechnology): Developing quality data science and quality engineering capabilities for an allogeneic CAR T cell platform with an accent on applied statistics, machine learning, GMP operations, and product quality control. Focus on building predictive analytics, guiding process validation and lifecycle management, supporting regulatory inspections, and solving complex quality and manufacturing data challenges.
Location: Hybrid in South San Francisco, California; candidates must be authorized to work in the United States
Salary: $170,000–$210,000 per year, plus annual performance bonus and equity
Company
is a clinical-stage biotechnology company developing allogeneic CAR T cell products for cancer and autoimmune disease.
What you will do
- Develop and execute the quality data science and quality engineering strategy for the allogeneic CAR T platform.
- Apply statistics, data science, and machine learning to GMP operations, process understanding, product quality control, and continuous improvement.
- Support product comparability, process validation, product monitoring, stability trending, and lifecycle management.
- Build quality management system procedures and contribute to Product Quality Review and Management Review tools.
- Provide data-driven support for root cause investigations, regulatory submissions, inspections, and inspection readiness.
- Collaborate with cross-functional teams and stakeholders to establish knowledge management practices and identify new technologies.
Requirements
- BS/MS degree in Statistics, Data Science, or a related field; an advanced degree is preferred.
- 6–8 years of relevant experience in the biotechnology or pharmaceutical industry.
- Strong expertise in applied statistics, including design of experiments, multivariate analysis, regression, and time-series analysis.
- Hands-on experience with R, Python, JMP, SAS, or equivalent tools, plus familiarity with data visualization.
- Experience analyzing complex laboratory, process, or manufacturing data and translating insights into business recommendations.
- Comprehensive knowledge of GMP regulations and industry best practices, with the ability to influence cross-functional teams and senior stakeholders.
Nice to have
- ASQ Quality Engineer certification.
- Advanced degree in Statistics, Data Science, or a related field.
Culture & Benefits
- Collaborative environment with cross-functional and interdisciplinary teams.
- Health insurance and a comprehensive benefits package.
- Annual performance bonus and equity.
- Generous paid time off, including two company-wide holiday shutdowns each year.
- Work in a fast-paced biotechnology company focused on developing life-changing cell therapies.
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