Senior ML Engineer, Computational Biology

il y a 4 jours


Le KremlinBicêtre, France Orakl Oncology Temps plein

Senior ML Engineer, Computational Biology Join to apply for the Senior ML Engineer, Computational Biology role at Orakl Oncology. At Orakl Oncology, we are accelerating the development of oncology treatments. Fewer than 5% of new cancer drugs succeed in clinical trials, so 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. Our mission is to bring more effective treatments to patients while making drug development smarter, faster, and more personalized. Key Responsibilities In close collaboration with scientists, design and implement novel computational biology methods. Benchmark, validate, and compare alternative approaches; propose and test new algorithms or tools to improve performance, robustness, and scalability. Translate research prototypes into production‑ready pipelines with clear versioning and documentation, including implementing and maintaining CI/CD workflows (testing, packaging, deployment, monitoring). Collaborate with data engineering teams to run pipelines efficiently in our production environment (e.g., containers, workflow managers, cloud infrastructure). Work closely with scientists and project teams to align on standards, architecture, and data models. Collaborate with experimental and data generation teams to understand data characteristics and operational constraints. Document methods and pipelines so that non‑developers can reliably use them (clear user guides, examples, release notes). Minimal Qualifications PhD and/or MSc / Engineering degree in Computer Science, Bioinformatics, Applied Mathematics, or related field. Strong interest in biology, oncology, and translational research. Experience with data processing for omics (RNA‑seq, WES/WGS, etc.) and familiarity with common concepts, terminologies, and software in the field. Strong programming skills in Python, with experience developing complex libraries or pipelines. Deep understanding of best software engineering practices. Comfortable working in a fast‑paced, technical and collaborative team. Fluency in English is required. Preferred Qualifications Familiarity with AWS cloud infrastructure. Demonstrated experience in curation, integration, and management of large‑scale datasets. Interview Process HR Call (15 minutes) – An initial discussion to better understand your background, experiences, and motivations. Technical Interview (45 minutes) – A deep dive into your technical skills and expertise relevant to the role. Technical Case (30 minutes presentation + discussion) – A case study or problem‑solving exercise to assess your strategic thinking and analytical abilities. Engineering Case (45 minutes presentation + discussion) – You will present a piece of work you have previously worked on and are proud of, in front of relevant Orakl Oncology team members. Founders Interview – Final step: meeting the founders of Orakl Oncology to assess cultural fit and alignment with company values. Seniority Level Mid‑Senior level Employment Type Full‑time Job Function Other #J-18808-Ljbffr


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