Data Scientist / Postdoctoral Researcher in the group 'Evolutionary Processes Modeling
Role details
Job location
Tech stack
Job description
We are looking for a postdoctoral researcher to join the "Evolutionary Processes Modeling" group. The selected candidate will be in charge of finishing ongoing projects in the group, involving the development of probabilistic methods for the identification of non-coding cancer driver elements and of the tumor mode of growth. The ideal candidate should be highly motivated and eager to work on evolutionary and biological problems through the use and development of computational and statistical approaches. The candidate will analyze data, develop a computational pipeline and test biological hypotheses.
Requirements
Professional experience Must Have
- You are familiar with the principles of evolutionary processes or population genetics
- You have experience with computer programming
- You have experience with modeling, statistical analysis and/or machine learning
- Experience with DNA- or RNA-sequencing data analysis is a plus
Education and training
- You hold a PhD degree in population genetics, physics, statistics, bioinformatics, or a related discipline
Languages
- You are fluent in English
Technical skills
- Experience with computational data analysis
- Familiar with modeling and statistical analysis
Competences
- Highly developed organizational skills
- Good communication skills
Benefits & conditions
- Contract duration: Technical and scientific activities contract (estimated duration until September 2027).
- Estimated annual gross salary: Salary is commensurate with qualifications and consistent with our pay scales.
- Target start date: April 2026.
We provide a highly stimulating environment with state-of-the-art infrastructure and unique professional career development opportunities. To check out our training and development portfolio, please visit our website in the training section. We offer and promote a diverse and inclusive environment and welcome applicants regardless of age, disability, gender, nationality, ethnicity, religion, sexual orientation or gender identity. The CRG is committed to reconcile a work and family life of its employees and is offering extended vacation periods and the possibility to benefit from flexible working hours.