Deadline: 
Nov 14, 2021
Description: 

The Centro Nacional de Análisis Genómico (CNAG-CRG) is one of the largest Genome Sequencing Centers in Europe. CNAG-CRG researchers participate in major International Genomic Initiatives such as the International Cancer Genome Consortium (ICGC), the International Human Epigenome Consortium (IHEC), the International Rare Diseases Research Consortium (IRDiRC) and the European Infrastructure for life-science information (ELIXIR), as well as in several EU-funded projects.

It is integrated with the Centre for Genomic Regulation (CRG), 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 a flexible and efficient administration and by high-end and innovative technologies.

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

Please, check out the CRG's Recruitment Policy

The role

We are hiring a Computational Biologist to contribute to our efforts to delineate mechanisms of immuno-therapy (clinical trials). We are looking for an enthusiastic computational scientist, motivated to improve our understanding of immune cell function and to positively impact on cancer patient prognosis. The candidate will be integrated in the Single Cell Genomics Team, a highly collaborative, international work environment with well-experienced colleagues in single-cell data production and analysis. The projects the candidates will be involved aim to understand the molecular and cellular basis of immuno-therapy action by applying multi-omics single-cell and spatial characterisation of immune and neoplastic cells, profiled throughout the course of the disease (including therapy) in patients as well as model systems.

Topics for the position include the development of statistical methods to integrate multi-omics single-cell and spatial data as well as clinical patient information. We are looking for highly motivated and a creative thinking individual who is interested in working in an environment where the technical sophistication of single-cell technology meets innovative approaches for interpreting data and generating new knowledge. We require the ability for working in a multi-disciplinary team on collaborative projects. We encourage and prioritize applications from under-represented minority groups.

About the team

The Single Cell Genomics Team at the CNAG-CRG is dedicated to advance genome research of single cells. The mission of the group is the implementation of single-cell sequencing technologies and their application in a research and translational context. The group focuses on the systematic integration of transcriptional and epigenetic data from individual cells to elucidate causalities underlying phenotype formation. We successfully established sequencing protocols to quantify gene expression and open chromatin of thousands of single cells. Our newly developed computational pipelines include methods to deconvolute tissue composition and track to transcriptional dynamics. Our international team joins computational, technical and biological knowledge in order to establish and apply best practices in single-cell research. The group combines collaborative research, development activities and follows research lines on the generation of human cell atlases and immuno-oncology. We are member of the Human Cell Atlas Project and the LifeTime Initiative. Web: http://www.cnag.cat/teams/genome-research-unit/single-cell-genomics-team

Whom would we like to hire?

Professional experience

Must Have

• You have excellent knowledge of Computational Biology

Desirable but not required/ Nice to have

• You have experience in single-cell data analysis

Education and training

• You have completed a PhD in Bioinformatics, Mathematics, Statistics or similar.

Languages

• You are fluent in English

Technical skills

• You are competent in Python, Perl or R

Competences

• You have highly developed organization skills

• You have excellent analytical and problem-solving skills

• You have the capability to work as part of a team and/or independently

The Offer – Working Conditions

• Contract duration: 3 years.

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

• Target start date: January 2022.

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 the CRG training section.

We offer and promote a diverse and inclusive environment and welcomes 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 are offering extended vacation period and the possibility to benefit from flexible working hours.

Application Procedure

All applications must include:

1. A motivation letter addressed to Dr. Holger Heyn.

2. A complete CV including contact details.

3. Contact details of two referees.

All applications must be addressed to Dr. Holger Heyn and be submitted online through the recruitment portal in the following link: https://recruitment.crg.eu/content/jobs/position/single-cell-genomics-%E2%80%93-computational-biologist-0/apply

Selection Process

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

₋ Interview: Preselected 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 Human Resources department will send a Job Offer, specifying the start day, salary, working conditions, among other important details.

Deadline: Please submit your application by November 14th, 2021.

Suggestions: The CRG believes in ongoing improvement and promotes a culture of feedback. This is one of the reasons we have in place, at your disposal as a candidate, a mechanism to gather your suggestions/complaints concerning your candidate experience in our recruitment processes. Your feedback really matters to us in our aim at creating a positive candidate journey. You can make a difference and help us improve by letting us know your suggestions through the following form.

Proyecto PLEC2021-007654 financiado por MCIN/AEI /10.13039/501100011033 y por la Unión Europea NextGenerationEU/PRTR