Computational Biologist

Description:

As a Computational Biologist at Owkin, you will have a unique opportunity to contribute to the discovery and development of better treatments and to the future of personalised medicine. You will join our fast-growing R&D Data Science organisation and work alongside world-class experts in AI and Biostatistics. Your experience in omics will allow you to contribute to projects in partnership with leading medical institutes and pharmaceutical companies. You will also play a role in advancing our internal R&D projects.

What You Will Be Doing
 

• 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: genomics, transcriptomics (spatial, single-cell, bulk), proteomics, and others.
• Analyse 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&D and Biomedical departments with varied backgrounds (computational biologists, biostatisticians, experts in medical imaging, federated learning, medical doctors, biologists, …).
• Contribute analyses and visualisations to help generate scientific papers and project 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.
   

Who We Are Looking For

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 intersections of healthcare and AI.
• 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. Good programming skills in Python and/or R; ability to ideate and conduct exploratory analyses and data visualisations to aid interpretation.
• Good knowledge about molecular and cellular biology, especially related to cancer and/or I&I 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.
• Be fluent in written and spoken English.