About Orakl OncologyAt Orakl Oncology, we are accelerating the development of oncology treatments. Today, fewer than 5% of new cancer drugs succeed in clinical trials. Clearly, new methods are needed. We combine cutting-edge biology and AI to build the next generation of insight platforms with the world's largest cohort of patient tumor avatars. These avatars fuel our AI-powered predictive engine, helping to anticipate clinical trial outcomes, validate therapies, and uncover new drug candidates. By generating multimodal, real-world data, we deliver insights that consistently outperform existing solutions.Our mission is simple yet ambitious: to bring more effective treatments to patients who need them - and to make drug development smarter, faster, and more personalized. We collaborate with top hospitals, research institutes, and pharmaceutical companies worldwide. Backed by leading investors, we are a fast-growing, mission-driven startup at the intersection of science and technology.The roleOur clinical-prediction offer gives pharma partners the evidence to guide decisions before and during clinical development. We are looking for a Scientific Product Director to turn this science into sellable products: decide what gets developed and when, define what each capability can claim and output, and shape how results are delivered to partners.You will report to Gustave Ronteix, CTO and co-founder, and work daily with a tight-knit interdisciplinary team composed of Computational Biology, Data Science, R&D, Platform Strategy & Operations, BD and Pharma Partnerships.What you'll do1. Own the product roadmapDesign and build a scalable product capable of derisking and accelerating clinical development of drug candidates based on Orakl’s scientific capabilitiesTurn signals from BD, Pharma Partnerships and R&D into capability definitions: specs, target metrics, validation plan, in- vs out-of-scope definition, cost to deliverSet priorities and dates with Engineering and Data Science; flag slippage early and make the trade-offsIdentify productization-gaps from delivery audits and analysis, and feed recurring ones back into the roadmap2. Oversee product maturity and decide what we sellMaintain the capability catalog: what is available now, in beta or on the roadmap, and what each can and cannot claimContribute to the final decision of when a capability is ready to sell (based on Data Science’s validation evidence) versus what is not-yet sellable in the pipeline, and communicate it internallyOversee the scientific case for each capability: white papers, application notes, posters3. Design how results reach partnersDesign the reports, data packages and dashboards partners receive, and direct the engineers who build themOwn the deliverable contents: figures, statistical summaries, methods, limitationsEmbed the approved claims and the QC checklist in every template, so Pharma Partnerships can produce a correct deliverable at scaleKeep templates current as the validated envelope changes, and pull or revise one when it no longer appliesWhat we're looking forMust havePhD or equivalent in cancer biology, pharmacology, biostatistics or computational biology8+ years in translational oncology, biomarker or diagnostics development, computational-biology platforms or preclinical CRO services, including 2+ owning a product roadmapTechnical depth: you read and understand production code, and can brief and review the work of engineers who build our reports and dashboardsYou judge evidence: from a validation pack - back-tests, calibration, biomarker cutoffs -, you can state a claim the data supports and refuse the one it doesn'tYou have experience working at the intersection of scientific and business departments within fast-growing companiesYou know how pharma decides: you have seen proposals, SOWs and due-diligence questions, and know what a go/no-go decision needs from a predictionFluent in EnglishNice to haveYou have seen bespoke research work turned into something repeatable and sellableScientific authorship: Posters, talks, papers or white papers; a presence at AACR, ASCO, ESMO or SITCRegulatory: exposure to regulated or quality-managed environmentsTherapeutic or preclinical knowledge: ADC, immuno-oncology or targeted therapy; organoid or in-vitro pharmacologyClinical-trial design or Trial statistics: adaptive designs, sample size, endpointsTemplated reporting: report-generation frameworks or web front-endWhat we offerMission: work on the forefront of cancer research.Ownership: a product function to build from the ground up.Impact: pharma teams make real portfolio decisions with what you define.Team: an exceptional crew of clinicians, biologists, engineers and data scientists, most with a PhD.👉 More about Orakl here and hereInterview processIntro call (30 min) with Gustave Ronteix, CTOCase interview (1h)Case study (take-home)Conversations with BD, Pharma Partnerships, the Engineering / Data Science leads and Platform Strategy & Operations.References: 2-3, including a direct managerFind more English Speaking Jobs in France on Arbeitnow