descripción del trabajo

We are searching for a Computational Biologist with strong expertise in microbiome-related research interested in developing bioinformatics and systems biology pipelines in a multiomics data integration analysis context. You will join a multidisciplinary team focused on mining metagenomics and single-cell RNA sequencing data and then integrating said data with other omics-based data to generate maps of human-microbiome interactions.

This role will actively participate in highly translational research, contributing to applications to support interpretations of the microbiota's impact on human reproduction. The ideal candidate will have knowledge of microbiome metagenomics and data integration and experience developing bioinformatics pipelines and data analysis.

You will be a critical team member integrated into the Computational Biology and Bioinformatics Team and the Endometrial Microbiome Team led by Dr. Inmaculada Moreno and will focus on analyzing the biological interplay between the microbiota and human reproduction by combining the study of various conditions and molecular data.

Key Accountabilities and Responsabilities:
Analyze proprietary and public single-cell RNA sequencing datasets from human subjects in the therapeutic area of women's/reproductive health
Analyze proprietary and public microbiome metagenomic datasets
Integrate transcriptomics data with other data modalities (e.g., metagenomics, metabolomics, proteomics, and inflammatory markers) to generate and support research hypotheses
Automate workflows and manage the team's pipelines and scripts
Interact with investigators to understand scientific questions, define the scope of work, and propose an analytical plan with a time estimate for its completion
Collaborate with researchers to prioritize tasks for follow-up, testing, and/or validation of hypotheses
Identify, evaluate, and incorporate relevant algorithms and software by reviewing the pertinent literature and developing and maintaining software based on current projects and in anticipation of long-term needs
Implement innovative approaches and develop the working tools and techniques to address systems biology questions to keep pace with rapid advances in the field
Contribute to publications in peer-reviewed journals resulting from the above research and any methodological innovations
Aid and support multiple research projects
Prepare technical reports in cooperation with principal investigators and other researchers
Take part in interdisciplinary meetings

Required skills and experience:

Experience in pipeline scripting (R, Python, Bash) in high-performance computing environments and be a highly organized problem-solver who can build collaborative working relationships with team members and other researchers.

Essential Skills:
Ph.D. (or >3 years working experience) in bioinformatics, any computational/quantitative biology field, or any data-science field (computer sciences, statistics, mathematics, physics) with bioinformatics experience
Broad experience in designing and building scalable data pipelines to reach data-driven scientific conclusions
Proficiency in scripting using Python, R, Linux, and high-performance computing resources
Version management with Git (GitHub or GitLab)
Proven understanding and experience in the fields of next-generation sequencing data processing and high-throughput data analysis
Experience in microbiome bioinformatic processing preferred
Experience in pipeline development
Experience in organizing results in reports or notebooks (Rmarkdown or Jupyter)
Fluency in English

Personal Skills:
Ability to organize their workload and manage competing priorities
Dynamism and problem-solving abilities
Ability to comply with tight deadlines

Other Skills:
Knowledge of advanced analytics methods and biostatistical modeling (e.g., data mining, predictive analytics, and machine learning)
Knowledge of modern biological data warehouses (SRA, GEO)
Experience in cloud computing platforms (Amazon web services)
Experience in containerization systems (Docker/Singularity)
Experience in international teams
Proficiency in working with high-dimension, large-scale datasets with low signal-to-noise ratios
Relevant publications
Innovation with regards to connecting biological insights and complex mechanisms of microbiome host-environment interactions

What We Offer
Competitive salary package aligned with experience and expertise.
Flexible working hours.
Future working trajectory within the Foundation.
22 vacation days, 2 personal leave days and 3 extra days (working hours adjustment).
Internal training opportunities and a collaborative research environment.
Access to flexible compensation program (meal, nursery, transport vouchers, health insurance).
On-site childcare program during school holidays.
Free coffee, snacks and kitchen essentials.
Gym partnership at reduced rate.
Team events: summer dinner, holiday celebration, paella contest.