Jobs / United States / Orakl Oncology
Scientific Product Director, Clinical Prediction
Orakl Oncology · 🇺🇸 Villejuif
Sponsorship verdict
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No government record and no wording either way. Not a refusal — ask the recruiter.
- No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
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- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
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Sponsor Radar — Orakl Oncology
This employer posted directly and does not match a government sponsor register.
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About the role
About Orakl Oncology At 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 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. 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 do 1. 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 2. 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 3. 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 What we're looking for Must have • PhD or equivalent in cancer biology, pharmacology, biostatistics or computational biology • 8+ 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 scienti