P We are searching for a b Computational Biologist with strong expertise in microbiome-related research /b 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. /p p This role will actively participate in highly translational research, contributing to applications to support interpretations of the microbiota#39;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. /p pb 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 /b and will focus on analyzing the biological interplay between the microbiota and human reproduction by combining the study of various conditions and molecular data. /p pb Key Accountabilities and Responsabilities: /b /pulli Analyze proprietary and public single-cell RNA sequencing datasets from human subjects in the therapeutic area of women#39;s/reproductive health /lili Analyze proprietary and public microbiome metagenomic datasets /lili Integrate transcriptomics data with other data modalities (e.g., metagenomics, metabolomics, proteomics, and inflammatory markers) to generate and support research hypotheses /lili Automate workflows and manage the team#39;s pipelines and scripts /lili Interact with investigators to understand scientific questions, define the scope of work, and propose an analytical plan with a time estimate for its completion /lili Collaborate with researchers to prioritize tasks for follow-up, testing, and/or validation of hypotheses /lili 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 /lili Implement innovative approaches and develop the working tools and techniques to address systems biology questions to keep pace with rapid advances in the field /lili Contribute to publications in peer-reviewed journals resulting from the above research and any methodological innovations /lili Aid and support multiple research projects /lili Prepare technical reports in cooperation with principal investigators and other researchers /lili Take part in interdisciplinary meetings /li /ul pb Required skills and experience: /b /p p 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. /p pb Essential Skills: /b /pulli 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 /lili Broad experience in designing and building scalable data pipelines to reach data-driven scientific conclusions /lili Proficiency in scripting using Python, R, Linux, and high-performance computing resources /lili Version management with Git (GitHub or GitLab) /lili Proven understanding and experience in the fields of next-generation sequencing data processing and high-throughput data analysis /lili Experience in microbiome bioinformatic processing preferred /lili Experience in pipeline development /lili Experience in organizing results in reports or notebooks (Rmarkdown or Jupyter) /lili Fluency in English /li /ul pb Personal Skills: /b /pulli Ability to organize their workload and manage competing priorities /lili Dynamism and problem-solving abilities /lili Ability to comply with tight deadlines /li /ul pb Other Skills: /b /pulli Knowledge of advanced analytics methods and biostatistical modeling (e.g., data mining, predictive analytics, and machine learning) /lili Knowledge of modern biological data warehouses (SRA, GEO) /lili Experience in cloud computing platforms (Amazon web services) /lili Experience in containerization systems (Docker/Singularity) /lili Experience in international teams /lili Proficiency in working with high-dimension, large-scale datasets with low signal-to-noise ratios /lili Relevant publications /lili Innovation with regards to connecting biological insights and complex mechanisms of microbiome host-environment interactions /li /ul pb What We Offer /b /pulli Competitive salary package aligned with experience and expertise. /lili Flexible working hours. /lili Future working trajectory within the Foundation. /lili22 vacation days, 2 personal leave days and 3 extra days (working hours adjustment). /lili Internal training opportunities and a collaborative research environment. /lili Access to flexible compensation program (meal, nursery, transport vouchers, health insurance). /lili On-site childcare program during school holidays. /lili Free coffee, snacks and kitchen essentials. /lili Gym partnership at reduced rate. /lili Team events: summer dinner, holiday celebration, paella contest. /li /ul