Director, Data Science (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Location: Hybrid role requiring 3 days per week in office. Hiring is prioritized in the New York City and Boston metro areas; candidates in the Research Triangle, NC, and San Francisco Bay Area may also be considered. Applicants must reside in these locations or be willing to relocate.
Total compensation: $235,000–$307,000 annually, plus equity, comprehensive benefits, and perks.
Company
is a technology- and AI-driven pharmaceutical company developing platforms and capabilities to accelerate drug development and clinical trials.
What you will do
- Lead complex data science projects that advance the drug development portfolio.
- Develop models for therapeutic hypothesis evaluation, patient stratification, and biomarker identification.
- Design AI models for modernizing clinical trial evaluations, including surrogate endpoints.
- Support the development and training of AI agents that automate and optimize biomedical workflows.
- Collaborate with clinical, technical, research, and engineering teams.
- Present complex analytical findings to senior stakeholders and executive leadership.
Requirements
- PhD in computational sciences or life sciences.
- 7+ years of post-academic experience in life sciences, biotech, pharma, or consulting.
- Strong programming skills, particularly in Python.
- Extensive experience with multimodal bioinformatics analysis.
- Strong communication skills and the ability to present complex technical findings to senior stakeholders.
- Availability to work in the required U.S. hub locations under the hybrid office schedule.
Nice to have
- Experience with cloud computing environments and tabular or graph databases.
- Strong background in machine learning and deep learning applied to biological problems.
- Experience with large language models.
- Experience collaborating with engineering teams on production systems.
Culture & Benefits
- Work on AI-driven solutions intended to accelerate the development of new medicines.
- Collaborate across clinical, technical, research, and engineering functions.
- Equity and comprehensive benefits.
- Generous additional perks.
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