2 дня назад
Senior Director, AI Data Science
244 000 - 346 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Director, AI Data Science (AI/ML and life sciences): Shaping the AI/ML strategy and leading multidisciplinary data science teams that develop clinical analytics, Generative-AI workflows, and decision-enablement products for drug development with an accent on regulated environments, model governance, and reproducible data platforms. Focus on scaling Databricks and cloud-based MLOps/LLMOps architectures, establishing validation standards, and translating advanced analytics into portfolio decisions.
Location: Alameda, California, United States; on-site office environment
Salary: $244,000–$346,000 annually, plus bonus eligibility, equity opportunities, and employee benefits.
Company
is a biotechnology and life sciences company developing medicines through data-driven research and clinical development.
What you will do
- Define and execute the multi-year AI/ML and data science strategy, roadmap, operating model, and investment priorities.
- Build and lead a multidisciplinary team, including managers and senior individual contributors, while managing resources, performance, succession, and talent development.
- Establish standards for AI/ML model development, validation, interpretability, responsible AI, and Generative-AI use in regulated environments.
- Guide analytics products, LLM-based and Generative-AI workflows, automated TLF review, protocol digitalization, and decision-enablement dashboards from prototype to production.
- Oversee Databricks and cloud data platforms, pipelines, reproducibility, MLOps/LLMOps, version control, security, and audit readiness.
- Partner with Biostatistics, Statistical Programming, Clinical Data Management, IT, and R&D, and represent the organization through publications, conferences, and industry engagement.
Requirements
- At least 12–15 years of relevant experience depending on academic degree, or an equivalent combination of education and experience.
- Significant leadership experience developing and deploying AI/ML and data science solutions in clinical, pharmaceutical, or life sciences settings, including GxP-regulated environments.
- Experience building teams, managing managers, setting functional strategy, owning budgets, and managing external partnerships.
- Advanced knowledge of AI/ML, statistical methodology, supervised and unsupervised learning, NLP, and Generative AI.
- Working fluency in Python, R, and SQL, with strong knowledge of Databricks, AWS, MLOps/LLMOps, Git/GitHub, and secure reproducible architectures.
- Strong understanding of clinical development, ICH, GxP, AI governance, validation, compliance, and executive stakeholder management.
Nice to have
- Familiarity with CDISC standards, including SDTM and ADaM, and clinical endpoint analysis.
Culture & Benefits
- Collaborative office environment focused on scientific rigor, innovation, mentorship, and continuous learning.
- Company-provided equipment, including dual monitors and ergonomic chairs.
- Comprehensive medical, dental, vision, life, disability, and flexible spending account benefits.
- 401(k) plan with company contributions, annual bonus eligibility, stock purchase opportunities, and long-term incentives.
- Fifteen accrued vacation days in the first year, seventeen paid holidays, a company-wide winter shutdown, and up to ten sick days annually.
- Approximately 20% global travel is required.
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