Data Analyst - Single Cell Genomics Team

We are hiring a Data Analyst to work in Single-Cell and Spatial genomics projects related to immuno-oncology. 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.

We are looking for an enthusiastic computational scientist, motivated to improve our understanding of immune cell function in tumors/tissues. 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 candidate will be involved in aim to understand the molecular and cellular basis of immunomodulating drug action through the application of multi-omics single-cell and spatial technologies on clinical samples.

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 a 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 to work in a multi-disciplinary team on collaborative projects.

Main tasks and responsibilities

Analyze multi-modal single-cell and spatial genomic data to identify mechanisms of immune cell infiltration and plasticity in tumors.
Develop and apply statistical methods to integrate multi-omics, spatial, and clinical patient data.
Innovate and refine computational techniques for single-cell and spatial data analysis.
Create tools and pipelines to enhance the integration of diverse data types, including genomic, transcriptomic, proteomic, and clinical datasets.
Work closely with a multi-disciplinary team, including biologists, clinicians, and other computational scientists, to design and execute research projects.
Contribute to research projects aimed at understanding the molecular and cellular basis of immunomodulating drug actions.
Collaborate with clinical teams to bring single-cell and spatial genomics applications into clinical use.

Whom would we like to hire?

You have completed a master's degree in Bioinformatics, Mathematics, Statistics or similar.
You are competent in Python or R.
You have good knowledge of Computational Biology.
Experience in single-cell and/or spatial analysis.
 

The Offer

Contract duration: 3 years.

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

Target start date: As soon as possible.

Benefits

Highly stimulating environment with state-of-the-art infrastructures, and unique Professional Career Plan and development opportunities.

We offer and promote a diverse and inclusive environment and welcomes applicants regardless of age, disability, gender, nationality, race, religion or sexual orientation, in a collaborative and supportive environment.

We are committed to reconcile a work and family life for our employees and are offering the opportunity to benefit from annual leave, full health and dental Insurance, flexible schedule, and the possibility of remote work.

Procedencia : Centre for Genomic Regulation

Convocante : Centre for Genomic Regulation