POST-DOCTORAL RESEARCHER PRECISIONTOX: The Centre for Genomic Regulation (CRG) in Barcelona, Spain, invites applications for a post-doctoral researcher position in PrecisionTox, an EU-funded project aimed at revolutionizing chemical safety assessment through Precision Toxicology. The project focuses on establishing a 3Rs-compliant testing paradigm, utilizing genomics, metabolomics, evolutionary theory, quantitative genetics, data science, toxicology, and law. The CRG group, led by Dr. Roderic Guigó, plays a key role in the analysis of bulk and single-cell RNA-seq data from diverse model species and human cell lines to assess the impact of chemical compounds on gene expression networks.
Designation: Post-Doctoral Researcher
Research Area: Precision Toxicology, Computational Biology, Genomics, Metabolomics, RNA-seq, Chemical Safety Assessment, 3Rs Compliance.
Location: Barcelona, Spain
Eligibility/Qualification:
Must Have:
- Strong computational background.
- Experience in large-scale omics data analysis, specifically (single cell/bulk) RNA-seq. Experience with metabolomics data analysis or QTL analysis is a plus.
- Experience in algorithm development and/or implementation of computational pipelines.
- Background/experience in building statistical and/or machine learning methods, particularly for data integration tasks, is a plus.
- Previous experience in building and interacting with relational databases (e.g., PostgreSQL) and APIs is a plus.
Education and Training:
- PhD in Bioinformatics or in Biology, Machine Learning, Statistics, Physics, Mathematics, Chemistry, or related areas.
Languages: Highly proficient in both spoken and written English.
Technical Skills:
- Strong programming skills in R or Python. Additional experience in C, C++, MATLAB, or Julia is a plus.
- Data visualization.
- Bash scripting in a Linux environment, tailored to an HPC infrastructure.
- Multivariate statistics.
- Containerized workflows and DSLs, e.g., Nextflow, SnakeMake.
- Familiarity with deep learning libraries like TensorFlow and Pytorch is a plus.
Competences:
- Project management.
- Interdisciplinary research.
- Capacity to work independently, with the ability to interact with colleagues and project consortium members.
- Good (academic) writing and presentation skills.
- Imagination, Motivation, Curiosity, Pro-activity, Independence, Critical thinking.
Job Description: The post-doctoral researcher will contribute to the PrecisionTox project by analyzing bulk and single-cell RNA-seq data from various model species and human cell lines. The focus is on assessing the impact of chemical compounds on gene expression networks and exploring their predictive potential for human toxicity assessment. The role involves developing and employing computational approaches, contributing to the larger goal of relating the genome to phenome across the tree of life.
How to Apply: Interested candidates should submit the following documents through the CRG Career site:
- A motivation letter addressed to Dr. Roderic Guigó.
- A complete CV, including contact details.
- Contact details of two referees.
Last Date for Apply: 31 December 2023
Selection Process:
- Pre-selection: Based on qualifications and expertise reflected in the candidates’ CVs. Merit-based.
- Interview: Preselected candidates will be interviewed by the Hiring Manager and a selection panel if required.
- Offer Letter: The successful candidate will receive a Job Offer from the People department, specifying the start day, salary, working conditions, among other important details.
Working Conditions:
- Contract duration: 3 years.
- Estimated annual gross salary: Commensurate with qualifications and consistent with CRG pay scales.
- Target start date: As soon as possible.
The CRG is committed to providing a diverse and inclusive environment, promoting work-life balance, and offering extended vacation periods and flexible working hours. The project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 965406.
Suggestions: The CRG values ongoing improvement and encourages candidate feedback. Candidates can share suggestions or complaints about their recruitment experience through the provided feedback form, contributing to a positive candidate journey and continuous enhancements in recruitment processes.
