Systems Biologist
Owkin
About us
Owkin is an AI biotechnology company that uses AI to find the right treatment for every patient. We combine the best of human and artificial intelligence to answer the research questions shared by biopharma and academic researchers. By closing the translational gap between complex biology and new treatments, we bring new diagnostics and drugs to patients sooner.
Owkin has raised over $300 million and became a unicorn through investments from leading biopharma companies (Sanofi and BMS) and venture funds (Fidelity, GV and BPI, among others).
Owkin is seeking the best and brightest to join our fast-growing and dynamic team.
About the role:
We are seeking an experienced Systems Biologist with a proven track record in systems biology and mechanistic modeling, who can contribute to our mission to leverage large scale biological data to identify the right patient for a given drug.
As the Systems Biology scientist, working within the Biomedical team, you will play a key role in building up Owkin’s capabilities in knowledge-driven mechanistic modeling. This work will aim to position therapeutic targets within a specific molecular context in order to model, in silico, the context dependencies underlying biological response to a given drug. Embracing the challenge of developing models integrating multiple scales (patient population, tissue, cell, pathway) for multiple diseases (especially Oncology and Inflammatory disorders), you will have the opportunity to dramatically impact the way indication and patient subgroups are selected for Owkin’s internal therapeutic pipeline. Working in close collaboration with our R&D Data Science department and biomedical experimental team, you’ll seek to integrate results coming from multimodal, large-scale analysis and to validate drug response predictions in the wet lab.
The ideal person for this role has a deep expertise in computational mechanistic models and an excellent background in biology, especially in regulatory pathways involved in immunology and oncology.
In particular, you will:
- Design innovative multiscale predictive mechanistic models in several oncology indications for 1 internal clinical asset using data from literature and data generated in our Wet-Lab
- Design connectivity maps leveraging our spatial transcriptomic data
- Participate to cross functional therapeutic project core-teams to build models guiding indication, biomarkers, and combination selection strategies
- Communicate findings to internal and external stakeholders in the form of presentations and reports
About you
Required qualifications / experience:
- Ph.D in systems biology/in silico modeling (preferable) or computational biology or bioinformatics, along with professional experience in the field of computational/systems biology in oncology therapeutic areas.
- Demonstrated experience in building large in silico models to study complex multiscale networks and regulatory pathways involved in human disease (e.g. differential equations, agent-based models, Boolean models etc.)
- Expertise in biological pathway analysis and excellent understanding of biology literature in cancer and immunology
- Bring expertise in computational tools for pathway mapping, analyze intercellular communication, build predictive mechanistic models across multiple scales
Preferred qualifications/bonus:
- Able in a fast-paced environment
- Able to work in cross-functional teams with various backgrounds and levels in biology, medicine, drug development, data science
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What we offer
- Flexible work organization and access to remote work
- 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. Unfortunately, being a coveted workplace means we are 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 though 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 the existence of the position on our website https://owkin.com/hiring
- Notify Owkin's recruitment unit at this address hiring@owkin.com
- contact the following authorities: