Data annalist/Bioinformatician - Resistance and progression mechanisms in prostate cancer

25-048_SS_AA

About the research group

Dr Aytes’s research exploits genetically engineered mouse prostate cancer models to uncover mechanisms of progressión towards advanced, therapy resistant prostate cancer. The group uses computational approaches for cross-species analysis of phentoypic and preclinical data from a range of high-throuhput molecular profiling. Of particular interest is the role of the epigenetically modulated changes in gene regulatory programs in therapy resistance. The lab is also interested in identifying molecular biomarkers for patients stratification and to preddict responses to standard of care and experimental therapies. Finally the lab is also heavily invested in identifying new targets through synthetic lethal interactions with AR signaling inhibitors and other approved drugs using CRISPR/Cas screening s in vitro and in vivo.

About the role

We are seeking a highly skilled and motivated Bioinformatician to join the Prostate Cancer Research group at IDIBELL, a leading translational cancer research institution. In this role, you will be at the forefront of analyzing large-scale genomic, transcriptomic, and other omics data to uncover critical molecular insights into prostate cancer biology and progression. You will be responsible for developing and optimizing bioinformatics pipelines, analyzing next-generation sequencing (NGS) data, and integrating multi-dimensional datasets to support research into prostate cancer mechanisms, and therapeutic strategies. Working closely with a multidisciplinary team of researchers, clinicians, and biologists, you will contribute to advance the understanding and treatment resistance in prostate cancer.

Job requirements

Professional experience

• Bioinformatics Expertise:
  Proven experience in bioinformatics, including a strong background in the analysis of high-throughput biological data (e.g., genomic, transcriptomic, proteomic, and epigenomic datasets). Experience with NGS (Next Generation Sequencing) data analysis, RNA-seq, DNA-seq, and other omics data is highly desirable.
• Experience with Cancer Research:
  Previous work in cancer biology or translational cancer research is strongly preferred. Knowledge of cancer genomics, tumor heterogeneity, molecular pathways, and cancer therapies is critical to support the laboratory's research goals.

Education and training

•  Degree in Bioinformatics, Computational Biology, Computer Science, or a closely related field from an accredited institution.

Technical & soft skills

• Data Analysis and Computational Tools:
  Proficiency in bioinformatics tools, programming languages, and frameworks such as R, Python, Perl, and/or Julia. Familiarity with bioinformatics pipelines and data analysis platforms (e.g., GATK, STAR, Cufflinks, DESeq2, Bioconductor) is required.
• Statistical and Machine Learning Skills:
  Strong statistical knowledge and experience with machine learning algorithms applied to large biological datasets, including predictive modeling, classification, and clustering techniques.
• Database and Data Management:
  Experience with managing and analyzing large-scale biological data from public repositories (e.g., TCGA, GEO) or institutional datasets. Familiarity with databases such as Ensembl, COSMIC, and others is a plus.
• Publication and Communication:
  A record of publishing research in peer-reviewed journals related to bioinformatics, cancer research, or related fields. Strong communication skills, both written and verbal, to convey complex computational findings to diverse research teams and stakeholders.

Languages

• Good command of the English language

We will value, but not required

1. Advanced Degree:
   A Master’s or Ph.D. in Bioinformatics, Computational Biology, Cancer Biology, or a closely related field is preferred.
2. Experience with Cloud Computing and Big Data:
   Familiarity with cloud-based platforms (e.g., AWS, Google Cloud) for bioinformatics analysis and handling large-scale datasets.
3. Familiarity with Clinical Data:
   Understanding of clinical trial data, clinical biomarkers, and integrating bioinformatics data with clinical patient outcomes.
4. Experience with Automation and Workflow Optimization:
   Proficiency in automating bioinformatics workflows and optimizing data analysis pipelines to improve efficiency in a high-throughput research environment.

What do we offer

• No. of positions: 1
• Estimated start date: As soon as possible
• Contract duration: Permanent linked to projects

• Estimated annual gross salary: In accordance with the candidate’s experience and the IDIBELL pay scale.
• You will be part of a multicultural team. We have a fun loving and friendly international work environment.

• Flexible working schedule - We know you have a life outside of work and we will work with you to make sure it's kept that way.
• Possibility to work some days in remote -Teleworking
• 26 working days of holiday per year
• System of accumulated hours for employees, from 88 to 104 hours depending on the year (11 to 13 working days), to attend to personal matters.
• Paid leave package
• Benefits of constant training are offered
• We offer and promote diverse and inclusive conditions. Applicants are made free from any discrimination. Specifically IDIBELL works to improve gender equality in all areas with the aim of achieving gender balance, but maintaining the most scrupulous respect to any choice at the level of gender identity. Please express yourself freely, safely and non-binarily, if that's the case.

Deadline: Please submit your application by  04/04/2025

Data protection notice

In compliance with the obligations established in the General Regulation of Data Protection (RGPD), which is the Regulation (EU) 2016/679 of the Parliament and of the Council, of April 27, 2016, and the Organic Law 3/2018, of December 5, Protection of Personal Data and guarantee of digital rights, it is reported that the Institut d'Investigació Biomèdica de Bellvitge (IDIBELL), CIF G58863317, with address Av. Granvia de l'Hospitalet, 199-203, 08908, L'Hospitalet de Llobregat, will process your personal data, as the controller, to apply for the position, maintain communication concerning the status of the candidature, to access the delivered CV; to compare that your data is in accordance with the offers announced by IDIBELL and to verify, where appropriate, that the information provided is accurate. You can find more information in our Privacy Policy at https://idibell.cat/en/privacy-policy-2/, request more information about the data processing carried out and exercise your rights of access, rectification, deletion, opposition, portability, limitation of processing by sending a request at email: dataprotection@idibell.cat. If you consider that you have not obtained satisfaction in exercising your rights, you may submit a claim to Catalan Data Protection Authority.

Our institute

IDIBELL is a research center that integrates the biomedical research of the Bellvitge University Hospital (HUB), the Catalan Institute of Oncology (ICO), and the University of Barcelona in the Bellvitge Campus (UB), and the Viladecans Hospital (HV). The research focuses of IDIBELL are cancer, neuroscience, translational medicine and regenerative medicine. Research, innovation and society are the pivots on which researchers work every day in order to improve the quality of life of citizens.

Observations:

The 'HR Excellence in Research' award represents IDIBELL’s commitment to the implementation of Human Resources policies, which oversee the attracting and development of talent in an open, transparent, and based on personal merit, in alignment with the principles of the European Charter for Researchers and the Code of Conduct for the Recruitment Researchers (Charter and Code).

IDIBELL is committed to the principles of the Code of Conduct for the Recruitment of Researchers of the European Commission and the implementation of open, transparent and merit-based recruitment (OTMR).