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Digital Product Owner, Research Decision Intelligence
Digital Product Owner, Research Decision Intelligence
发布于 4 天前普通员工/个人贡献者
Morristown, New Jersey Cambridge, Massachusetts
高级经验
全职员工
仅现场办公
本科
产品管理
Agile
Data Visualization
Benchling
D360
Genedata Biologics
AI 估算 · 80k–120k
Senior product role in pharma R&D, requires domain expertise, competitive market.
职位详情
关于这个职位
As the Digital Product Owner for Research Decision Intelligence at Sanofi, you will own end-to-end delivery of data visualization and decision support products that empower scientists to make faster, data-driven decisions. You'll work in agile cross-functional teams, define product vision, manage backlog, and drive adoption of tools that become indispensable to R&D workflows. This role sits at the intersection of science and technology, requiring strong product ownership skills and deep understanding of drug discovery.
最低要求
Bachelor's degree required in Life Sciences, Computational Biology, Bioinformatics, Computer Science, or a related field. Master's or PhD is a plus.
A minimum of 5+ years of experience in product management, product ownership, or related roles within pharmaceutical R&D, biotech, or life sciences.
Proven track record delivering digital products in scientific or technical environments.
Strong experience with data visualization tools is required.
Experience working in agile cross-functional teams (Scrum, Kanban) and managing product backlogs.
Demonstrated ability to conduct user research and translate findings into actionable product requirements.
工作职责
Own and prioritize the product vision, roadmap, and backlog for your product line, ensuring clear alignment with scientific priorities and Digital R&D strategy.
Write clear, well-scoped user stories, acceptance criteria, and success metrics grounded in real scientist workflows.
Lead agile ceremonies (sprint planning, backlog grooming, retrospectives) and drive iterative product delivery with cross-functional pods.
Make sound, data-informed prioritization decisions—balancing new feature development, technical debt, and user feedback.
Establish regular touchpoints with software development teams to validate technical requirements and ensure optimal solution architecture.
Drive products through governance stage gates with clear go/no-go recommendations, business cases, and executive summaries.
Hands-on experience with life science data browsing and visualization platforms such as Spotfire and D360. Familiarity with electronic lab notebooks (ELNs) including Benchling and Genedata Biologics is a plus. Ability to query databases directly, with Snowflake experience preferred.
Able to interpret what a data entity means in a biological context not just technically, but scientifically.
Capable of tracing data lineage end-to-end: from point of entry in an ELN, through a data warehouse such as Snowflake, to its visualization and consumption in tools like Spotfire.
Experienced in using diagrams including business process flows, scientific workflows, and data flow diagrams.
Conduct continuous user research with R&D scientists to deeply understand their workflows, bottlenecks, data needs, and interface requirements.
Champion user-centered design principles throughout the product lifecycle, partnering with UX/UI designers.
Lead usability testing sessions, synthesize feedback, and rapidly iterate.
Independently sketch wireframes and low-fidelity mockups.
Build and execute targeted user adoption strategies for platform launches and transitions.
Monitor usage metrics and user satisfaction continuously.
Identify and proactively address barriers to adoption.
Demonstrate product value through compelling scientific use cases and measurable outcomes.
Build strong partnerships with R&D scientists, computational biologists, data scientists, and ML engineers.
Collaborate with the Product Line Owner on portfolio strategy, prioritization, and resource allocation.
Facilitate co-creation workshops, ideation sessions, and requirements gathering.
Communicate product progress, value delivered, and adoption metrics to stakeholders and leadership.
优先资格
Master's or PhD in a related field is a plus.
Familiarity with electronic lab notebooks (ELNs) including Benchling and Genedata Biologics is a plus.
Snowflake experience preferred.
AI 洞察
优缺点分析
优点
- Work at a leading global biopharma company with strong investment in digital transformation and AI.
- High impact role directly enabling scientists to accelerate drug discovery through better data-driven decisions.
- Exposure to cutting-edge technologies (AI/ML, cloud platforms) and collaboration with top scientific and technical talent.
- Opportunity to own a product end-to-end and see tangible results in research productivity.
- Requires deep domain knowledge in both life sciences and product management – high learning curve for those new to pharma R&D.
- Must navigate complex stakeholder landscape including scientists, data engineers, and executives with competing priorities.
- Adoption of new tools in a scientific environment can be slow due to established workflows and change resistance.
- This role is ideal for a product manager with a life science background who enjoys translating complex scientific needs into digital solutions and thrives in a fast-paced, data-driven environment.
缺点 / 挑战
暂无明显挑战项
角色解读
- This role can progress to Senior Product Owner or Product Line Owner, managing a portfolio of products within the In-Silico Research team.
- Opportunities to deepen domain expertise in computational biology, AI/ML applications in drug discovery, or move into broader digital R&D leadership.
- Potential to influence strategic decisions at the intersection of science and technology within a top global pharma company.
- Define and prioritize product vision, roadmap, and backlog for data visualization and decision support tools used by R&D scientists.
- Lead agile ceremonies and collaborate with cross-functional teams including data scientists, ML engineers, UX designers, and developers.
- Conduct user research with scientists to understand workflows and translate needs into user stories and acceptance criteria.
- Drive adoption of digital products by monitoring usage metrics and implementing change management strategies.
- Deep understanding of drug discovery workflows and life science data (e.g., ELN, data warehouses, visualization tools like Spotfire).
- Strong product ownership skills: backlog management, user story writing, roadmap planning.
- Experience with agile methodologies (Scrum/Kanban) and tools like JIRA, Confluence, Figma.
- Ability to communicate effectively with both scientific and technical stakeholders, and to sketch wireframes for UX collaboration.
申请策略
- Tailor your cover letter to demonstrate passion for improving scientific research through technology and mention specific tools you've used (e.g., JIRA, Confluence).
- Prepare to discuss a specific example where you drove adoption of a digital tool in a scientific or technical organization.
- Emphasize product management experience in pharma/biotech R&D, especially with data visualization tools like Spotfire or D360.
- Showcase agile leadership and concrete examples of shipping digital products that impacted scientific workflows.
- Highlight technical skills such as SQL, Snowflake, or experience with ELNs (Benchling, Genedata).
- Include any UX research or wireframing experience (Figma, Miro) as evidence of user-centered design practice.
- If not already familiar, gain hands-on experience with Spotfire or similar life science data visualization platforms.
- Deepen understanding of drug discovery processes (e.g., by taking online courses or reading industry literature).
面试指南
- Use the STAR method (Situation, Task, Action, Result) to structure your answers, particularly for behavioral questions.
- For prioritization questions, mention a framework like RICE (Reach, Impact, Confidence, Effort) or MoSCoW and give a concrete example.
- Show empathy for scientists' workflows and demonstrate how you balance user needs with technical feasibility and business value.
- How would you prioritize features for a product used by both bench scientists and computational biologists?
- Describe a time you managed conflicting stakeholder priorities in a product backlog. What was your approach?
- How do you ensure that user stories accurately capture scientific workflows?
- Can you walk us through how you would measure the success of a data visualization product in R&D?
- What experience do you have with data visualization tools like Spotfire, and how would you decide when to build vs buy?
匹配度报告
71
综合匹配度
High-impact product role in pharma R&D with cutting-edge tech, strong purpose, moderate compensation, and limited flexibility.
适合人群
This role is best for a candidate who is driven by purpose and wants to make a difference in healthcare through digital innovation, and who is willing to trade some lifestyle flexibility for high impact and growth.
最强匹配
使命价值匹配
最弱匹配
工作生活匹配
薪资福利70
成长发展85
工作生活40
使命价值90
薪资福利匹配
70中等
The salary for this senior product role is competitive in the pharma industry, and Sanofi as a large multinational offers good benefits. However, the JD does not specify exact compensation or unique financial perks, so the compensatory motivation is moderately met.
薪资信号未披露（AI估算：80K-120K/月）
成长发展匹配
85较高
This role offers strong developmental opportunities: working with cutting-edge AI/ML and cloud technologies, exposure to drug discovery, and potential to grow into senior product leadership. The team environment encourages learning and innovation.
技术前沿前沿/新兴技术
技术栈AI、machine learning、computational modeling、cloud-based platforms、Snowflake、Spotfire、data visualization
业务类型profit_center
工作生活匹配
40较低
The position is onsite in Morristown, NJ and Cambridge, MA, with no mention of remote or flexible work. The location may require commuting. Work-life balance signals are absent from the JD, so lifestyle motivation is lower.
工作模式仅现场办公
办公地点科技园/产业园
加班情况未提及（无法判断）
使命价值匹配
90较高
Sanofi's mission to improve lives through science is strongly aligned with purposive motivation. The role directly contributes to accelerating drug discovery, which has high social impact. The industry is stable and growing, and the work involves innovation.
行业发展稳定成熟行业
社会影响正向社会影响力较高
使命信号chase the miracles of science to improve people's lives、transform the practice of medicine、improve patients' health
创新程度积极采用新技术
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