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Scientific Product Director, Clinical PredictionOrakl Oncology · Villejuif

Orakl Oncology

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Scientific Product Director, Clinical Prediction

🗓️ Posted 2026-10-13 Villejuif Fulltime Hybrid Science Technology
💰 Salary Not shared 📊 Market 6,250 EUR–9,167 EUR/mo

About the Company

nts 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.

About the Role

Our 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.

Responsibilities

  • ● ght-knit interdisciplinary team composed of Computational Biology, Data Science, R&D, Platform Strategy & Operations, BD and Pharma Partnerships.
  • ● OWN THE PRODUCT ROADMAP
  • ● Design and build a scalable product capable of derisking and accelerating clinical development of drug candidates based on Orakl's scientific capabilities
  • ● Turn signals from BD, Pharma Partnerships and R&D into capability definitions: specs, target metrics, validation plan, in- vs out-of-scope definition, cost to deliver
  • ● Set priorities and dates with Engineering and Data Science; flag slippage early and make the trade-offs
  • ● Identify productization-gaps from delivery audits and analysis, and feed recurring ones back into the roadmap
  • ● OVERSEE PRODUCT MATURITY AND DECIDE WHAT WE SELL
  • ● Maintain the capability catalog: what is available now, in beta or on the roadmap, and what each can and cannot claim
  • ● Contribute 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 internally
  • ● Oversee the scientific case for each capability: white papers, application notes, posters
  • ● DESIGN HOW RESULTS REACH PARTNERS
  • ● Design the reports, data packages and dashboards partners receive, and direct the engineers who build them
  • ● Own the deliverable contents: figures, statistical summaries, methods, limitations
  • ● Embed the approved claims and the QC checklist in every template, so Pharma Partnerships can produce a correct deliverable at scale
  • ● Keep templates current as the validated envelope changes, and pull or revise one when it no longer applies

Requirements

  • ● PhD or equivalent in cancer biology, pharmacology, biostatistics or computational biology
  • ● + years in translational oncology, biomarker or diagnostics development, computational-biology platforms or preclinical CRO services, including 2+ owning a product roadmap
  • ● Technical depth: you read and understand production code, and can brief and review the work of engineers who build our reports and dashboards
  • ● You 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't
  • ● You have experience working at the intersection of scientific and business departments within fast-growing companies
  • ● You know how pharma decides: you have seen proposals, SOWs and due-diligence questions, and know what a go/no-go decision needs from a prediction
  • ● Fluent in English
  • ● NICE TO HAVE
  • ● You have seen bespoke research work turned into something repeatable and sellable
  • ● Scientific authorship: Posters, talks, papers or white papers; a presence at AACR, ASCO, ESMO or SITC
  • ● Regulatory: exposure to regulated or quality-managed environments
  • ● Therapeutic or preclinical knowledge: ADC, immuno-oncology or targeted therapy; organoid or in-vitro pharmacology
  • ● Clinical-trial design or Trial statistics: adaptive designs, sample size, endpoints
  • ● Templated reporting: report-generation frameworks or web front-end

Benefits

  • ● Mission: 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 https://www.welcometothejungle.com/fr/companies/orakl-oncology and here https://www.orakl-oncology.com/
  • ● INTERVIEW PROCESS
  • ● Intro call (30 min) with Gustave Ronteix, CTO.
  • ● Technical 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 manager.