Senior Bioinformatician

SOPHiA GENETICS

Ver: 151

Dia de atualização: 20-03-2024

Localização: Lausanne Vaud VD

Categoria: R & D IT - Software

Indústria: Software Development Research Services Biotechnology Research

Posição: Associate

Tipo de empregos: Full-time

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Conteúdo do emprego

Description

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
  • R&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 R&D of models and algorithms for the prediction of variant effects and variant prioritization, with emphasis on somatic and germline contexts.
  • Tertiary analysis is a transversal team involved in four business lines: Alamut, Hereditary diseases, Oncology and TrialMatch. Thus, the candidate will 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
  • Demonstrated training in quantitative modelling and PhD in either quantitative genetics, cancer biology, functional genomics, clinical genetics, or data-science experience in a related health industry.
  • at least 5 years of experience in Computational Biology is a must. The candidate must be able to understand the inner workings of state of the art statistical approaches related to variant priorisation and variant effect prediction.
  • The candidate should have a working knowledge of genomics and molecular biology, in either germline or somatic (cancer) contexts.
  • Experience in predictive models for variant prioritisation / variant effect prediction and / or Machine Learning (ML).
  • Competence in a widely used bioinformatics programming languages (e.g. Python, R, or Julia), demonstrated experience in reproducible research (routine use of code versioning, environment configuration tools and scientific workflows), Linux bash scripting experience and SQL is an advantage.
  • Excellent communication skills, including experience in communicating complex scientific principles in simple terms to varied audiences.

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: Saint-Sulpice, Switzerland (HQ)

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.

As committed employer, SOPHiA GENETICS offers everyone the same opportunities to access employment regardless of gender, ethnicity, religion, sexual orientation, social status, disability or age. SOPHiA GENETICS strives to develop an inclusive work environment that reflects the diversity of its employees. All information will be treated confidentially in accordance with the Employment Equity Act.
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Data limite: 04-05-2024

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