The role

We are hiring a Computational Biologist to lead projects in immuno-oncology and immuno-therapy. We aim to delineate mechanisms of immune cell infiltration and plasticity in tumors to provide an accurate patient prognosis and a precise prediction of therapy success (patient eligibility). We are looking for an enthusiastic computational scientist, motivated to improve our understanding of immune cell function in tumors and to positively impact on cancer patient lives. Together, we aim to bring single-cell and spatial genomics applications into clinical use and to advance pathology assessment with high-dimensional genomics readouts (next-generation pathology).

The candidate will be integrated in the Single Cell Genomics Team, a highly collaborative, international work environment with well-experienced colleagues in single-cell and spatial data generation and analysis. The projects the candidates will be involved in aim to understand the molecular and cellular basis of immuno-therapy action through the application of multi-omics single-cell and spatial technologies on clinical samples. Your tasks include the analysis of multi-modal single-cell and spatial data and the development of statistical methods to integrate multi-omics, spatial and 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 and spatial technologies 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 application from all career stages 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 latest single-cell and spatial sequencing technologies and their application in a research and translational contexts. The group focuses on the systematic integration of transcriptional and epigenetic data from individual cells to elucidate causalities underlying phenotype formation in health and disease. We successfully established protocols to quantify gene expression and open chromatin of hundred-thousands of isolated single cells (10x Chromium X, 10x Chromium Connect, MissioBio Tapetri, etc) or in tissues (Nanostring CosMx, BGI Stereo-seq, 10x Visium).

Our newly developed computational pipelines include methods to deconvolute tissue composition and to track transcriptional dynamics. Our international team joins computational, technical and biological knowledge in order to promote creative thinking while establishing best practices in single-cell and spatial 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 experience in single-cell data analysis

• You have excellent knowledge of Computational Biology

Education and training

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

Languages

• You are fluent in English

Technical skills

• You are highly competent in Python, Perl or R

The Offer

• Contract duration: 3 years

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

• Target start date: 01/06/2023

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.

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. 2. 3.

All applications must be addressed to Dr. Holger Heyn and be submitted online on the CRG Career site - http://www.crg.eu/en/content/careers/job-opportunities

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 People department will send a Job Offer, specifying the start day, salary, working conditions, among other important details.

Deadline: Please submit your application by April 30th, 2023

A motivation letter addressed to Dr Holger Heyn.

A complete CV including contact details.


Contact details of two referees.