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Hamburg, Deutschland
Onsite
Mindpeak is building cutting-edge AI technology to transform cancer diagnostics for the better. Our AI-powered software is already in clinical use across more than 25 countries, helping pathologists assess tumour tissue faster, more accurately, and more consistently. Every year, tens of thousands of cancer patients already benefit from quicker and more accurate diagnoses enabled by our technology.
Our mission is to scale this impact worldwide and help make personalised, effective cancer treatment accessible to every patient no matter where they are. By combining state-of-the-art AI with real-world clinical impact, we're working toward a future where every cancer patient gets the best possible diagnosis and, ultimately, the best possible care.
Laboratories are digitising fast, and demand for our diagnostic AI has outgrown the way we deliver it. Every new lab is a project with many moving parts: our software is connected to the lab's image management and information systems, our AI is calibrated and validated on their cases, pathologists are trained, and the requirements of their market and accreditors are met. Each project brings together lab directors, pathologists and IT on the customer side, scanner and software partners, and our product, ML, engineering and quality teams internally. Usually several of these projects run at the same time and compete for the same people.
As Clinical Implementation Manager you own the delivery of these projects, from signed contract to routine clinical use. You set the plan, direct the specialists who do the technical work, make the trade-offs when projects compete, and carry the go-live date. From day one you own around 10 lab customers in parallel, from smaller labs to important accounts, without needing someone to tell you what to do next.
This is a senior delivery role. We are looking for someone who has done this before and can take ownership quickly, not someone who will learn project execution on the job. It is not a sales role and carries no sales target.
Delivery of our lab implementations
Own each implementation end to end: plan, milestones, dependencies, risks and the committed go-live date.
Run several implementations in parallel. Sequence them, decide what moves first when they compete for ML, engineering or customer time, and escalate only what you cannot resolve.
Drive technical integration with the lab and its partners (IMS, LIS, scanners, network and security reviews), working directly with our engineers and the customer's IT.
Direct the work of our product, ML, engineering and quality teams and of the customer's staff. Get firm commitments, follow them up, and don't accept "not possible right now" without a plan.
Accompany the validation each lab runs before go-live. The lab's medical director designs the study; you make sure the setup works, our teams deliver what the validation depends on, and the lab has everything it needs to finish.
Raise risks early, with options and a recommendation, rather than after a date slips.
The customer relationship through go-live and beyond
Be the lab's main operational contact: run the regular project calls, send the recaps, keep every open item owned and dated on both sides.
After go-live, own support for your labs: monitor usage, resolve what you can, coordinate product and engineering on the rest, and close the loop.
Bring structured customer feedback into product planning, and flag expansion opportunities to Sales.
How we deliver
Use and improve our delivery playbook, tracking and tooling so each implementation is faster and more predictable than the last.
You run our small and mid-size lab implementations independently, with the Head of Diagnostic Products informed but no longer in the day-to-day.
Several onboardings run in parallel to plan, with fewer surprises close to deadlines.
Customers have one competent contact; our internal teams get clear, prioritised requests instead of ad-hoc escalations.
You are taking over parts of our larger, more product-heavy accounts.
At least 2–3 years delivering projects to external customers, with several clients in parallel and at least one project owned from kickoff to go-live: clinical or diagnostic software, digital pathology, laboratory or medical device rollout, health IT, or comparable B2B delivery.
A track record of hitting committed dates in projects with dependencies you did not control. You can describe a project that went wrong and what you did about 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. You speak credibly with pathologists and can judge whether a pragmatic shortcut still makes scientific sense.
Strong stakeholder management and communication. You lead conversations with lab directors, pathologists and IT teams, get commitments from people you don't manage, and raise blockers early. You work credibly with developers: you understand how they work and can challenge their estimates. You don't need to code.
Organised and self-driven: you keep many commitments on track without reminders, work in our delivery tools and help improve them, need no hand-holding, and know when "good enough" is the right call.
Full professional proficiency in English.
Based in Hamburg or willing to relocate, and working on-site with the team.
Willing to travel up to 10% of your time: 3–4 trips a year of about a week each, mostly to US customers and scientific conferences.
Comfortable with regular late-afternoon or early-evening calls to overlap with US customers.
Nice to have
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.
A role with real ownership in a team that is building out its diagnostics delivery right now.
The opportunity to build AI systems that power both clinical cancer diagnostics and data-driven drug development.
An open, creative work environment with flat hierarchies and quick decision-making.
An excellent leadership team that invests in continuous development.
A centrally located Hamburg office with a beautiful view over the harbour.
Please apply via our website with your CV, references, salary expectations and earliest start date.
Contact: jobs@mindpeak.ai or Christine Stamer at christine.stamer@mindpeak.ai · Website: mindpeak.ai
Note: Direct applicants only; agencies are not considered.
