Job Description

Computational Biologist

As a Computational Biologist at Owkin, you will have a unique opportunity to contribute to the discovery of better treatments through the development and use of agentic AI systems. An integral member of the Biomedical team, you will work alongside world-class experts in AI and biology within a multidisciplinary team dedicated to pioneering discoveries, all while embedded in an organization that develops end-to-end AI systems for clients. Your experience in omics will allow you to contribute to the building of our AI Scientist, an agentic system designed to navigate the complexities of target and drug discovery.

In particular, you will:

• Contribute analyses to projects aiming to discover novel drug targets, biomarkers and disease subtypes through reverse translation based on multi-omics patient or pre-clinical data including: genomic, transcriptomic (spatial, single-cell, bulk), proteomic, and others.
• Analyze biomedical datasets using classical or novel omics methods and machine / deep learning algorithms
• Conduct literature reviews to stay up-to-date with respect to relevant approaches and datasets
• Participate in the interpretation of results and help design validation strategies together with cross-functional teams.
• Collaborate with other members of Owkin's R&Tech and Biomedical departments with varied backgrounds (computational biologists and chemists, AI scientists, medical imaging experts, medical doctors, biologists, …).
• Contribute analyses and visualisations to generate scientific internal and external communications and reports.
• Participate in Owkin's internal R&D activities, develop new as well as improve existing methodologies, strive to keep Owkin's Toolbox to the state-of-the-art.

The successful candidate will have a 'team-first' kind of attitude; be curious and detail-attentive; thrive in a dynamic, fast-paced environment; and be fun to work with.

And:

• Be passionate about the potential for impact when combining AI and healthcare.
• MSc / PhD in either computational biology, bioinformatics, biology, machine learning, computer science, mathematics or a related field.
• Experience working with omics data and NGS data processing pipelines.
• Experience of integrating multi-omics datasets.
• Experience of working in early-stage drug discovery programs, and with tasks such as target identification, biomarker discovery and patient stratification.
• Good knowledge about molecular and cellular biology, especially related to cancer and/or other human diseases, to help interpret analysis results together with our biomedical experts.
• Familiarity with machine learning concepts and toolkits such as: cross validation, statistical tests, scikit learn, xgboost, etc.
• Experience using autonomous AI agents and agentic workflows to perform data analyses.
• Good programming skills in Python.
• Fluency in written and spoken English.

The following experience is not necessarily required, but would be a plus:

• Single-cell RNA-seq and spatial transcriptomic data analysis.
• Clinical and biomedical imaging data.
• Hands-on experience with agentic AI systems and their development.
• History of publications or contributions to top-tier academic journals or conferences.
• Have previously worked in a biotech / pharma / life science company.

What we offer:

• Flexible work organization
• Friendly and informal working environment
• Opportunity to work with an international team with high technical and scientific backgrounds

Recruitment Process & Security:

• Please complete the form and submit your CV.
• Owkin is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, sex, gender, sexual orientation, age, color, religion, national origin, protected veteran status or on the basis of disability.
• Owkin is a great place to work. As a coveted workplace we are, unfortunately, vulnerable to recruitment phishing scams. We urge all job seekers and candidates to be wary of potential scams. Most of these have individuals posing as representatives of prominent companies, including Owkin, with the aim of obtaining personal, sensitive, or financial information from applicants. These scams prey upon an individual's desire to obtain a job and can sometimes "feel" like a genuine recruitment process. Some red flags are identified below. Should you encounter a recruitment process that claims to be for Owkin but is not consistent with the below, please do not provide any personal or financial information:
• Legitimate Owkin recruitment processes include communication with candidates through recognized professional networks, such as LinkedIn.
• Communication is always through an official Owkin email address (from the @ owkin.com domain), over the phone or through our applicant tracking system (Greenhouse).
• The Owkin talent team do use platforms such as LinkedIn and Job Teaser, however if you have any concern or doubt about this contact, please ask for them to send an email from @ Owkin.com.
• The Owkin talent team will not solicit personal data from candidates during the application phase including, but not limited to, date of birth, social security numbers, or bank account information;
• Legitimate Owkin interviews may be conducted over the phone, in person, or via an approved enterprise videoconferencing service (Google Meets). They will not occur via Signal, Telegram or Messenger.
• Owkin offers of employment are based on merit and only extended once a candidate has interviewed with members of the talent and hiring team. Offers will be extended both verbally and in written format.
• If you think that you have been a victim of fraud:
• Check the identity of the talent team on LinkedIn
• Check our senior team on our website
• Check the existence of the position on our website:
• Notify Owkin's recruitment unit at this address hiring@owkin.com
• Contact the following authorities:
• [FR]
• [UK]
• [US]

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