EURHASI is recruiting for its client a
Senior Data Scientist (M/F).
Our client is a drug discovery & research pharmatech company.
You will work in a multi-disciplinary team of passionate drug hunters, AI engineers and developers who are committed to our mission of finding many drugs, at high pace, to cure diseases.
As part of our growing team, you will enjoy a fast-paced, challenging, science-driven and creative environment, working at the very forefront of AI & Deep physics-powered drug discovery. This is a tremendous opportunity to bring your own impact on changing the way medicines are discovered and be involved in shaping the direction of our fast growing business and team.
The mission
The main objective of the Target Ranking team is to identify the most relevant therapeutic targets for our clients drug discovery pipeline. The team serves as the entry point for targets, which are then continuously monitored to ensure only the best assets for our company are worked on.
Target Ranking team:
- Designs, develops and runs target assessment workflows
- Extracts novel insights, encompassing chemistry and biology complexity, to guide the selection of targets for drug discovery pipelines
- Models this extensive and intricate knowledge in innovative ways
- Manages a portfolio of promising targets for our company’s drug discovery pipeline
The Target Ranking team leverages multiple expertises to deliver on this exciting goal (inc. data engineering, data science, biology, chemistry…).
Our client is looking for a data scientist to join the Target Ranking team, whose role will be to work on the development, implementation and maintenance of a target identification framework. By doing so, you will play a crucial part in shaping our companys portfolio of drug discovery targets!
You will be in charge of:
- Creation, development and maintenance of business and biological indicators for the assessment of therapeutic targets
- Supporting the maintenance of a portfolio of attractive therapeutic targets
- Transformation and analysis of omics and biomedical data
- Implementation of machine learning methods to extract relevant biological information from various data sources
- Evaluating outcomes and presenting results with our companys drug discovery platform teams
- Staying up-to-date with the state-of-the-art and latest AI and bioinformatics methodologies and processes
Profil
PROFILE
- 8+ years of experience as a data scientist
- Demonstrable experience with working with biological data
- Advanced knowledge in applied mathematics, statistics and machine learning methods (ideally in biostatistics)
- Experience in working with omics or biomedical datasets
- Fluent in object-oriented language development (ideally Python)
- Experience in delivering technical projects from start to finish
- Written and oral communication skills and ability to communicate with a technical and non-technical audience
In addition:
- You are eager to play an active role in contributing to our client strategy to develop drugs for patients.
- You are anxious to bring your wealth of knowledge and skills to the table to inspire and coach brilliant people from diverse backgrounds.
- You are keen to solve tough problems on issues that truly matter.
- You are inquisitive, and proactive with a can-do attitude.
- You are excited to join a small team and make your mark on drug discovery.
- You thrive on working collaboratively in a fast-paced, interdisciplinary environment that keeps everyone on track.
Expected Minimum Skills
- Master’s degree or PhD in data science, bioinformatics, or related field
- Biostatistics
- Bio IT
- Working language: English
Informations contractuelles
Benefits
- Incentive
- Telework : 2 days of teleworking
- Company mutual
- Fast-paced, intellectually and scientifically emanding, results-driven.
- Founders have: 10+ years experience in research at Ecole Normale Supérieure in Paris, not to mention a stint in Oxford and Cambridge / 10+ years experience in strategy consulting at BCG.
- The company has a rapidly growing team of +50 people from world-class institutions (AstraZeneca, GSK, Sanofi, Harvard, Ecole Normale Supérieure, Ecole Polytechnique, BCG)
- Client premises are conveniently located in the center of Paris