PWe are searching for a bComputational 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. /ppbr/ppThis 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. /ppbr/ppbYou 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. /ppbr/ppbKey Accountabilities and Responsabilities: /b /pulliAnalyze proprietary and public single-cell RNA sequencing datasets from human subjects in the therapeutic area of women's/reproductive health /liliAnalyze proprietary and public microbiome metagenomic datasets /liliIntegrate transcriptomics data with other data modalities (e.g., metagenomics, metabolomics, proteomics, and inflammatory markers) to generate and support research hypotheses /liliAutomate workflows and manage the team's pipelines and scripts /liliInteract with investigators to understand scientific questions, define the scope of work, and propose an analytical plan with a time estimate for its completion /liliCollaborate with researchers to prioritize tasks for follow-up, testing, and/or validation of hypotheses /liliIdentify, 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 /liliImplement innovative approaches and develop the working tools and techniques to address systems biology questions to keep pace with rapid advances in the field /liliContribute to publications in peer-reviewed journals resulting from the above research and any methodological innovations /liliAid and support multiple research projects /liliPrepare technical reports in cooperation with principal investigators and other researchers /liliTake part in interdisciplinary meetings /li /ulpbr/ppbRequired skills and experience: /b /ppbr/ppExperience 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. /ppbr/ppbEssential Skills: /b /pulliPh.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 /liliBroad experience in designing and building scalable data pipelines to reach data-driven scientific conclusions /liliProficiency in scripting using Python, R, Linux, and high-performance computing resources /liliVersion management with Git (GitHub or GitLab) /liliProven understanding and experience in the fields of next-generation sequencing data processing and high-throughput data analysis /liliExperience in microbiome bioinformatic processing preferred /liliExperience in pipeline development /liliExperience in organizing results in reports or notebooks (Rmarkdown or Jupyter) /liliFluency in English /li /ulpbr/ppbPersonal Skills: /b /pulliAbility to organize their workload and manage competing priorities /liliDynamism and problem-solving abilities /liliAbility to comply with tight deadlines /li /ulpbr/ppbOther Skills: /b /pulliKnowledge of advanced analytics methods and biostatistical modeling (e.g., data mining, predictive analytics, and machine learning) /liliKnowledge of modern biological data warehouses (SRA, GEO) /liliExperience in cloud computing platforms (Amazon web services) /liliExperience in containerization systems (Docker/Singularity) /liliExperience in international teams /liliProficiency in working with high-dimension, large-scale datasets with low signal-to-noise ratios /liliRelevant publications /liliInnovation with regards to connecting biological insights and complex mechanisms of microbiome host-environment interactions /li /ulpbr/ppbWhat We Offer /b /pulliCompetitive salary package aligned with experience and expertise. /liliFlexible working hours. /liliFuture working trajectory within the Foundation. /lili22 vacation days, 2 personal leave days and 3 extra days (working hours adjustment). /liliInternal training opportunities and a collaborative research environment. /liliAccess to flexible compensation program (meal, nursery, transport vouchers, health insurance). /liliOn-site childcare program during school holidays. /liliFree coffee, snacks and kitchen essentials. /liliGym partnership at reduced rate. /liliTeam events: summer dinner, holiday celebration, paella contest. /li /ul