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Product Manager - Predictive/Prognostic AI (m/f/d)

Mindpeak Gmbh

Hamburg

Vor Ort

EUR 70.000 - 90.000

Vollzeit

Vor 30+ Tagen

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Zusammenfassung

A leading company in AI-powered precision medicine is seeking a Product Manager for Predictive AI to drive the development of innovative diagnostic tools. This role involves shaping strategy, collaborating with teams, and ensuring impactful solutions for cancer diagnostics. Ideal candidates will have a strong background in biology or medicine, exceptional communication skills, and a proven track record in product management.

Leistungen

Flexible career paths
Ongoing development opportunities

Qualifikationen

  • Proven track record of bringing a predictive or prognostic diagnostic test to market.
  • Full proficiency in English; German is a plus.

Aufgaben

  • Own and drive the vision for predictive AI, translating clinical needs into actionable product requirements.
  • Collaborate with data scientists to develop and validate predictive models.
  • Build and manage relationships with KOLs and clinical partners.

Kenntnisse

Strategic Mindset
Data Literacy
Cross-Functional Leadership
Communication

Ausbildung

Biology or medical background

Jobbeschreibung

Welcome to Mindpeak!

We are a Hamburg, Germany-based scale-up pioneering AI-powered precision medicine to improve outcomes for cancer patients. Our technology enables pathologists and oncologists to make better diagnostic decisions by predicting which patients will benefit from specific treatments. Over 40.000 Patients have been diagnosed with the help of Mindpeak’s AI.

At Mindpeak, you’ll work with leaders in AI, pathology, and entrepreneurship to shape the future of cancer diagnostics.

Your mission

As a Product Manager – Predictive AI, you’ll be at the forefront of our mission, driving the development of AI tools that bring predictive power to digital pathology. You will shape the strategy, define the roadmap, and ensure our solutions are deeply impactful for clinicians and patients alike.

Your Tasks

  • Lead the Vision: Own and drive the vision for predictive AI, from risk scores to recurrence prediction, translating clinical needs into actionable product requirements.
  • Own the full product lifecycle for predictive/prognostic tests: discovery, development, validation, regulatory submission.
  • Collaborate Deeply: Work closely with data scientists to develop and validate predictive models. Align technical, clinical, and commercial teams to create products that are innovative, safe, and reliable.
  • Drive External Engagement: Build and manage relationships with KOLs, academic collaborators, and clinical partners.
  • Drive Evidence Strategy: Lead the development of clinical and analytical evidence to support regulatory approvals and payer adoption.
  • Prioritize with Impact: Set the right priorities based on impact, feasibility, and regulatory timelines.
  • Communicate Clearly: Effectively share your vision and ideas across technical, clinical, and business audiences.

Your profile

  • Experience: Proven track record of bringing a predictive or prognostic diagnostic test to market - molecular (e.g., NGS, PCR) or tissue-based (e.g., IHC, digital pathology)
  • Biology or medical background
  • Strategic Mindset: Ability to think big while diving deep into the details.
  • Data Literacy: Comfortable with statistics, A/B testing, and basic ML terminology.
  • Cross-Functional Leadership: Skilled at bridging technical, clinical, and business teams.
  • Communication: Exceptional at translating complex technical concepts into clear, impactful messages.
  • Language Skills: Full proficiency in English (German is a plus).

Why us?

  • Impact: Be part of a mission-driven team transforming cancer diagnostics.
  • Innovation: Work on groundbreaking AI technology.
  • Collaboration: Join a team that values creativity, diversity, and collaboration.
  • Growth: Flexible career paths and ongoing development opportunities.

Ready to Make a Difference?

We’d love to hear from you.

Please send us your CV as well as university certificates, transcripts, references, salary expectations, earliest start date and a few words about why you’re excited to join Mindpeak to jobs@mindpeak.ai.

Note: Direct applicants only; agencies are not considered.
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