Data Scientist​/Postdoctoral Researcher group 'Evolutionary Processes Modeling

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Data Scientist / Postdoctoral Researcher in the group 'Evolutionary Processes Modeling'

The Institute

The Centre for Genomic Regulation (CRG) is an international biomedical research institute of excellence, based in Barcelona, Spain, with more than 400 scientists from 44 countries. The CRG is composed by an interdisciplinary, motivated and creative scientific team which is supported both by flexible and efficient administration and by high-end and innovative technologies.

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.

About the group

Cancer is a genetic disease, subject to population genetics forces like mutation, selection and stochasticity. Our group is particularly interested in how the evolution and survival of cancer cell populations relies on mutation influx and in how cancer driver events can be identified from observed mutation data. To this end, we develop mathematical and computational approaches to estimate mutation rates, tumor growth dynamics and selection.

Analysis of the mutational processes acting in cancer genomes allows us to learn about carcinogenic mutagens (https://(Usted puede enviar una solicitud o contactar con nosotros por email usando el Buzón de Solicitud online de abajo) ), while studying the spatial genetic heterogeneity of tumors tells us about the tumor mode of growth ( ). Estimates of the strength of selection in cancer allow a prioritization of genes and non-coding regions by their disease relevance, with the ultimate goal of promoting therapeutic advances.

Coding sequences of cancer tumors not only exhibit positively selected mutations that drive cancer ( ), but also a small fraction of genes that the tumor cannot afford to lose ( ). In addition to genes, cancer driver loci can occur in the non-coding part of the genome ( ).

• 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

The Offer – Working 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.

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.

Application Procedure

All applications must include:

• A motivation letter addressed to Dr. Donate Weghorn.
• A complete CV including contact details and a list of publications.
• Pre-selection
  :
  The pre-selection process will be based on qualifications and expertise reflected in the candidates' CVs. It…