Product Owner for AI & Molecular Modeling
发布于 大约 2 个月前中层管理(经理/总监)
AI 估算 · 80k–120k
海外AI制药产品经理，薪资基于行业经验和市场水平，结合职位要求较高，预估月薪80K-120K人民币。
职位详情
关于这个职位
As a Product Owner for AI & Molecular Modeling at Sanofi, you will lead the vision and execution of AI/ML-driven digital products that bridge computational predictive models with medicinal chemists. You will define product strategy, prioritize features, and manage agile cross-functional teams to deliver tools that accelerate small molecule drug design. This role combines deep technical knowledge in CADD and AI with user-centered product management, directly impacting how scientists leverage computational insights.
最低要求
Bachelor's degree in Life Sciences, Computational Chemistry, Molecular Modeling, Cheminformatics, Biochemistry, Medicinal Chemistry or a related field. Master's or PhD degree is a plus but not a must.
工作职责
Lead agile and iterative product development in cross-functional pods with data scientists, ML engineers, UX/UI designers, and data engineers.
优先资格
Hands-on experience with python-based libraries for molecular manipulation (RDKit, OpenBabel, DeepChem) and vizua (truncated).
AI 洞察
优缺点分析
优点
- Cutting-edge work at the intersection of AI and drug discovery, with high impact on real-world medicines.
- Strong company reputation (Sanofi) and resources of a large biopharma, providing stability and growth opportunities.
- Opportunity to work with world-class scientists and engineers, building a valuable network.
- High expectations and fast-paced environment in R&D digital transformation.
- Need to constantly learn and adapt to rapidly evolving AI/ML technologies.
- Balancing scientific rigor with agile product development can be demanding.
- This role is ideal for an experienced product manager with a strong scientific background in computational chemistry or AI, who enjoys bridging technical and business domains and driving innovation in a mission-driven organization.
缺点 / 挑战
暂无明显挑战项
角色解读
- Progress to Senior Product Owner or Head of Product for Digital R&D, leading a portfolio of AI products.
- Transition to a more strategic role like Director of Digital Innovation or VP of Product in biopharma.
- Opportunity to become a domain expert in AI-driven drug discovery, influencing industry-wide practices.
- Define product vision and strategy for AI/ML tools that assist medicinal chemists in molecular design and optimization.
- Manage a backlog of user stories and prioritize features based on scientific impact and user needs.
- Lead cross-functional agile teams including data scientists, ML engineers, and UX designers to deliver iterative product releases.
- Measure and communicate product success through KPIs and executive-level reporting.
- Deep understanding of CADD methods (molecular docking, MD, QSAR) and AI/ML applications in drug discovery.
- Strong product management skills: backlog management, stakeholder communication, agile methodologies.
- Ability to translate complex computational concepts into intuitive user experiences.
- Excellent presentation and communication skills to bridge scientific and business stakeholders.
申请策略
- Tailor your cover letter to explain how your product management experience directly accelerated scientific discovery.
- Research Sanofi's digital R&D initiatives and mention specific areas where you can contribute.
- Emphasize experience with AI/ML in drug discovery, especially small molecule projects.
- Highlight product management achievements with measurable impact (e.g., KPIs, adoption rates).
- Showcase knowledge of CADD tools and cheminformatics libraries (RDKit, etc.).
- Include examples of leading cross-functional agile teams and managing stakeholder communications.
- Strengthen understanding of generative molecular design and structure-based AI.
- Familiarize with product analytics tools and frameworks for measuring scientific productivity.
面试指南
- Use the STAR method (Situation, Task, Action, Result) for behavioral questions.
- For technical translation questions, break down complex concepts into simple analogies and focus on user benefit.
- For prioritization, mention frameworks like RICE or value vs. effort, and tie back to scientific impact.
- How do you prioritize features when scientific needs conflict with technical feasibility?
- Describe a time you led a cross-functional team to deliver a complex scientific product. What was the outcome?
- How would you measure the success of an AI-powered molecular design tool?
- Explain CADD methods like free energy perturbation to a non-scientist executive.
- How do you ensure user adoption for new digital tools in a research environment?
职位点评
High-growth AI product role in biopharma with strong developmental and purposive rewards, moderate compensation disclosure, and standard on-site expectations.
从薪资福利、成长空间、工作节奏和岗位方向综合评估，方便横向比较。
薪资福利
The position offers competitive compensation typical of a senior product role in a top biopharma, but exact figures are undisclosed. Benefits are not detailed in the JD, so the signal is neutral.
成长发展
This role sits at the forefront of AI in drug discovery, offering continuous learning in cutting-edge technologies like generative molecular design and structure-based AI. The company provides opportunities to grow as a product leader in digital R&D.
工作生活
The role is based in Cambridge, MA, likely requiring on-site presence. No mention of remote flexibility or WLB initiatives. The fast-paced R&D environment may demand extended hours.
使命价值
Working on AI for drug discovery directly contributes to developing life-saving medicines, providing strong sense of purpose. Sanofi's mission-driven culture amplifies the positive social impact.