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2 дня назад

Senior Director, AI Data Science

244 000 - 346 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior/director
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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