In our journey to impact on patients lives, we are looking for a Senior Bioinformatician ( for genomic variant annotation and pathogenicity prediction) to join our Data Science (Tertiary Anlysis) team in Bidart.
The Tertiary analysis team identifies, handles, and validates the annotation of genomic variants and the contextual information supporting the clinicians in their interpretation of results. This includes (1) the design, evaluation and integration of predictive models and algorithms to prioritize variants and their effects, and (2) the integration of expert knowledge from multiple data resources and repositories.
Your tasks are varied and cover a large array of approaches, mainly covering the first aspect. More specifically, you will be involved in:
- The development and implementation of variant interpretation metrics and guidelines
- Ramp;D of models and algorithms to predict variant effects and clinical relevance. This includes both Machine Learning (ML) and expert systems approaches.
Responsibilities
- Conception and Ramp;D of models and algorithms for the prediction of variant effects and variant prioritization, in both germline and somatic contexts.
- Scientific and technical management of our extensive bioinformatics knowledge base.
- This will require the automation of variant database updating and integration of new data sources.
- This also requires collaboration with different departments across the company including Sales, Marketing, Quality and Project Management.
- Tertiary analysis is transversal team involved in four business lines: Alamut, Hereditary diseases, Oncology and TrialMatch. Thus, the candidate would work extensively on one of multiple projects, needing to document all activities and report developments in these projects to team leader, colleagues and project managers on a weekly basis.
Requirements
- PhD related to bioinformatics or computational biology fields or a Master Degree with several years of experience.
- Experience in Computational Biology or computational sciences is a must. The candidate should be able to understand the inner workings of tools and packages published in the scientific literature, related to variant annotation and variant effect prediction.
- The candidate should have a working knowledge of genomics and molecular biology, at least in either germline or somatic (cancer) contexts.
- Experience in predictive models for variant prioritization / variant effect prediction and / or Machine Learning (ML).
- Competence in a widely used bioinformatics programming language (e.g. Python, R, Julia), Linux bash scripting experience and SQL is an advantage.
- Excellent communication skills, including experience in communicating complex scientific principles in simple terms.
Benefits
- A flexible and friendly working environment with a collaborative atmosphere
- Flexible hours, home office
- International and multi-cultural environment
- An exciting company mission that brings together science and technology to directly impact the lives of patients with life threatening illness.
- A fast-growing company with plenty of opportunity for personal growth and development
Location : Bidart, France
Start: ASAP (or as agreed)
Contract type: Permanent full-time
Application process
If you think you fit this position, please send a CV and a cover letter. Please note that incomplete applications will not be considered.
After an initial screening process, candidates will be invited for remote interviews.