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Mindpeak

AI-driven visual diagnostics for cancer pathology

Clinical Implementation Manager

Program ManagementConfirmed live in the last 24 hours
Full-timeHamburg, GermanyNo salary listed

About the Job

Requirements

  • At least 2–3 years of delivering projects to external customers, managing several clients in parallel, and owning at least one project from kickoff to go-live in clinical or diagnostic software, digital pathology, laboratory or medical device rollout, health IT, or comparable B2B delivery.
  • A track record of meeting committed project dates despite dependencies outside your control, and the ability to describe a project that went wrong and how you handled it.
  • A degree in a life or natural science such as biology, medicine, chemistry, or physics, or several years of work in a comparable scientific field.
  • Ability to speak credibly with pathologists and judge whether a pragmatic shortcut remains scientifically sound.
  • Strong stakeholder management and communication, including leading conversations with lab directors, pathologists, and IT teams, securing commitments from people you do not manage, and raising blockers early.
  • Ability to work credibly with developers, understand how they work, and challenge their estimates; coding is not required.
  • Organization and self-direction to keep many commitments on track without reminders, use delivery tools and help improve them, work independently, and determine when a solution is sufficient.
  • Full professional proficiency in English.
  • Based in Hamburg or willing to relocate, and able to work on-site with the team.
  • Willingness to travel up to 10% of the time, comprising 3–4 trips per year of about a week each, mostly to U.S. customers and scientific conferences.
  • Comfort with regular late-afternoon or early-evening calls to overlap with U.S. customers.

Responsibilities

  • Own each lab implementation end to end, including the plan, milestones, dependencies, risks, and committed go-live date.
  • Run several implementations in parallel, sequence them, decide what takes priority when projects compete for machine-learning, engineering, or customer time, and escalate only issues you cannot resolve.
  • Drive technical integration with labs and partners, covering image management systems, laboratory information systems, scanners, network reviews, and security reviews, in collaboration with engineers and customer IT teams.
  • Direct the work of product, machine-learning, engineering, and quality teams and customer staff; obtain firm commitments and follow up, ensuring obstacles have a plan.
  • Accompany each lab's validation before go-live, ensuring the setup works, internal teams deliver what validation depends on, and the lab has what it needs to complete validation. The lab's medical director designs the study.
  • Raise risks early with options and a recommendation before dates slip.
  • Serve as the lab's main operational contact by running regular project calls, sending recaps, and keeping every open item owned and dated on both sides.
  • Own support for assigned labs after go-live by monitoring usage, resolving issues where possible, coordinating with product and engineering on other issues, and closing the loop.
  • Bring structured customer feedback into product planning and flag expansion opportunities to Sales.
  • Use and improve the delivery playbook, tracking, and tooling so each implementation becomes faster and more predictable.
  • Run small and mid-size lab implementations independently, keeping the Head of Diagnostic Products informed without requiring day-to-day involvement.
  • Take over parts of larger, more product-heavy accounts.

Desired Qualifications

  • German language skills.
  • Experience in pathology, diagnostics, or laboratory environments.
  • Experience delivering software into a regulated clinical setting or working within a quality management system.
  • Experience setting up or improving delivery processes and tooling in a growing team.

About the Company

Mindpeak

AI-driven visual diagnostics for cancer pathology

Mindpeak offers an AI-based visual diagnostic platform that helps pathologists analyze breast cancer by identifying tumorous regions and detecting cancer cells to provide affordable diagnostic tools in clinical settings. Users upload digital pathology slides; the AI analyzes the images to segment tumors, detect malignant cells, and compute metrics like tumor size and cell counts, with results shown in an interpretable report that fits existing workflows. The platform emphasizes ease of use and cost-effectiveness to bring quantitative microscopy into everyday clinical practice, unlike systems that target only specialized labs. The goal is to improve breast cancer diagnostics by delivering accurate, scalable visual analysis tools that enable faster, more consistent diagnoses.

Company size
11-50
Company stage
Series A
Total funding
$19.7M
Headquarters
Hamburg, Germany
Founded
2018

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