Computational Scientist in the group ‘Evolutionary Processes Modeling’

hace 1 semana


Barcelona, España Somma A tiempo completo

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 of an interdisciplinary, motivated and creative scientific team supported by a flexible and efficient administration and high-end innovative technologies.

In April 2021, the Centre for Genomic Regulation (CRG) received the renewal of the 'HR Excellence in Research' Award from the European Commission. This is a recognition of the Institute's commitment to developing an HR Strategy for Researchers, designed to align practices and procedures with the principles of the European Charter for Researchers and the Code of Conduct for the Recruitment of Researchers.

Please check out our Recruitment Policy: CRG Recruitment Policy

The Role

We are looking for a research assistant to join the 'Evolutionary Processes Modeling' group. We use computational analysis of sequencing data together with population genetics predictions and statistical modeling to answer questions about mutational processes and selective pressures in cancer tumors. The candidate will analyze data, develop models for the description of tumor DNA sequencing data, develop a computational pipeline, and test biological hypotheses. Prior experience with machine learning algorithms is advantageous.

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 we can identify cancer driver events from observed mutation data. To this end, we develop mathematical and computational approaches to estimate mutation rates, tumor growth dynamics, and selection.

The Evolutionary Processes Modeling lab was established in October 2018 and is part of the “Computational Biology and Health Genomics” program at the CRG. Further information can be found at Weghorn Lab.

Whom Would We Like to Hire?Professional Experience
  • You have experience with computer programming.
  • You have worked with biological datasets before (e.g., DNA-seq, RNA-seq).
  • Experience with modeling, statistical analysis, and/or machine learning is a plus.
Education and Training

You should have a master's or PhD degree in bioinformatics, mathematics, physics, computer science, or a related discipline.

Languages

You are fluent in English.

Technical Skills

You must be able to program in Python and/or R.

Competences
  • You have highly developed organizational skills.
  • You have good communication skills.
The Offer – Working Conditions

Contract duration: Technical and scientific activities contract estimated at 1 year (with the possibility of extension).

Estimated annual gross salary: Salary is commensurate with qualifications and consistent with our pay scales.

Target start date: As soon as possible.

We provide a highly stimulating environment with state-of-the-art infrastructures and unique professional career development opportunities. To check out our training and development portfolio, please visit our website in the training section.

Application Procedure

All applications must include:

  • A motivation letter addressed to Dr. Donate Weghorn.
  • A complete CV including contact details of two referees.

All applications must be addressed to Dr. Donate Weghorn and be submitted online on the CRG Career site - CRG Job Opportunities.

Selection Process

Pre-selection: The pre-selection process will be based on qualifications and expertise reflected in the candidates' CVs. It will be merit-based.

Interview: Pre-selected candidates will be interviewed by the Hiring Manager of the position and a selection panel if required.

Offer Letter: Once the successful candidate is identified, the People department will send a Job Offer, specifying the start day, salary, working conditions, among other important details.

Candidates may address scientific inquiries to dweghorn@crg.eu.

Deadline: Please submit your application by December 15, 2024.

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