AD Product Manager - Target Discovery & Annotations

Role Summary

As a Product Manager of the “Target Discovery & Annotations” product, you co-lead, together with a Product Operations Manager and a Technical Lead, a matrix team which supports Data Scientists in identifying new biological targets using novel AI Target Discovery approaches. You develop and evolve a holistic vision, strategy, and roadmap for capturing and prioritizing biological targets, and make sure to establish this data product in the entire end to end data pipeline across the informatics platform and application portfolio.

Responsibilities

• You combine your knowledge of AI, drug discovery data, and product management with your matrix leadership skills to co-lead a team consisting of operational, technical, and scientific members and to manage a high-impact and globally deployed product consisting of target capturing and target prioritization apps, as well as a hub for accessing target-relevant data.
• You ensure that these applications are aligned to a capability-based and intentional product architecture and continuously increase their value to deliver significant impact to drug discovery in line with the strategic mandates of the Research Workflows Product Line.
• You provide strategic context to the product team, facilitate prioritization, and practice good team-based decision-making while taking smart risks.
• You define, communicate and measure success criteria together with internal and business stakeholders, and work closely together to ensure that the product provides the required values to BR’s drug discovery.
• You shape your teams’ processes for success and cultivate a learning environment.
• You support your team members in challenging situations and act as a mentor for more junior associates.
• You ensure adherence to security, quality, and regulatory standards and policies, including GxP compliance if applicable.

In addition,

• You help create a strong data architecture and data platform around biological targets.
• You productionize different AI initiatives around target identification into your product together with our data science community.

Qualifications

• Lead effectively in a co-leadership model inside of a matrix organization.
• Domain expertise in applied AI technology and management of complex drug discovery data across an entire application portfolio.
• Experience with early drug discovery processes and data, ideally in the domain of biological target identification and target prioritization.
• Excellent communication skills, through writing and speaking.
• Manage complex and highly interconnected activities with using professional project management skills.
• Creativity in identifying, encouraging, and accelerating innovative solutions.
• Foster change, manage conflict, and create alignment through direct and indirect influence.
• Having a clear and visible set of values and acting with integrity.
• Expand into different areas based on changing scientific and team needs.
• English (fluent).