58 минут назад
Director, Oncology AI Product & Engineering Lead (AI)
176 600 - 294 300$
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Описание вакансии
Текст:
TL;DR
Director, Oncology AI Product & Engineering Lead (AI): Owns the strategy and roadmap for AI products supporting oncology R&D across discovery, translational science, clinical development, and real-world evidence, with an accent on scientific decision support, workflow automation, and scalable delivery. Focus on leading multidisciplinary AI engineering teams, translating complex scientific problems into product requirements, and driving governance, adoption, and sustained impact in a regulated healthcare environment.
Location: United States — New York — New York City. Permanent U.S. work authorization is required; candidates must be authorized to work in the U.S. by any employer. Relocation assistance may be available based on business needs and eligibility.
Annual base salary: $176,600–$294,300, plus a 20% bonus target and eligibility for a share-based long-term incentive program.
Company
is developing an AI-first oncology R&D engine supporting medicine discovery, development, and delivery.
What you will do
- Own the Oncology AI product strategy and roadmap across discovery, translational science, clinical development, and real-world evidence.
- Lead and coach a multidisciplinary team of AI engineers and science-focused technologists.
- Translate scientific and operational problems into AI product requirements, success metrics, and delivery plans.
- Partner with oncology scientists, clinical teams, Digital, Enterprise AI, and IT to align solutions with enterprise platforms and governance.
- Evaluate AI concepts, prototypes, and technical approaches, making informed trade-off decisions.
- Drive workflow automation, stakeholder adoption, governance, delivery standards, and value tracking beyond pilot projects.
Requirements
- PhD with at least 5 years of applied analytical experience, or Master’s degree with at least 7 years of applied analytical experience, in computer science, machine learning, data science, software engineering, AI, or a related discipline.
- Demonstrated impact leading AI-enabled products, platforms, or analytics solutions in pharma, biotech, healthcare technology, or AI startups.
- Strong understanding of oncology R&D workflows and the use of data and AI in scientific and clinical decision-making.
- Experience leading multidisciplinary technical teams in a matrixed environment.
- Strong technical fluency for evaluating AI/ML approaches without hands-on coding, together with excellent communication and stakeholder management skills.
- U.S. work authorization is required, and visa sponsorship is not available now or in the future.
Nice to have
- Experience at the intersection of science, product management, and engineering.
- Familiarity with data pipelines, model development, and prototyping workflows.
- Experience scaling AI solutions in large, regulated organizations.
Culture & Benefits
- Participation in ’s Global Performance Plan with a 20% target bonus.
- Eligibility for a share-based long-term incentive program.
- 401(k) with matching contributions and an additional retirement savings contribution.
- Paid vacation, holidays, personal days, caregiver/parental leave, and medical leave.
- Medical, prescription drug, dental, and vision coverage.
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