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. brThis 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. brYou 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. brKey Accountabilities and Responsabilities: brAnalyze proprietary and public single-cell RNA sequencing datasets from human subjects in the therapeutic area of women's/reproductive health brAnalyze proprietary and public microbiome metagenomic datasets brIntegrate transcriptomics data with other data modalities (e.g., metagenomics, metabolomics, proteomics, and inflammatory markers) to generate and support research hypotheses brAutomate workflows and manage the team's pipelines and scripts brInteract with investigators to understand scientific questions, define the scope of work, and propose an analytical plan with a time estimate for its completion brCollaborate with researchers to prioritize tasks for follow-up, testing, and/or validation of hypotheses brIdentify, 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 brImplement innovative approaches and develop the working tools and techniques to address systems biology questions to keep pace with rapid advances in the field brContribute to publications in peer-reviewed journals resulting from the above research and any methodological innovations brAid and support multiple research projects brPrepare technical reports in cooperation with principal investigators and other researchers brTake part in interdisciplinary meetings Required skills and experience: brExperience 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. brEssential Skills: brPh. 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 brBroad experience in designing and building scalable data pipelines to reach data-driven scientific conclusions brProficiency in scripting using Python, R, Linux, and high-performance computing resources brVersion management with Git (Git Hub or Git Lab) brProven understanding and experience in the fields of next-generation sequencing data processing and high-throughput data analysis brExperience in microbiome bioinformatic processing preferred brExperience in pipeline development brExperience in organizing results in reports or notebooks (Rmarkdown or Jupyter) brFluency in English Personal Skills: brAbility to organize their workload and manage competing priorities brDynamism and problem-solving abilities brAbility to comply with tight deadlines Other Skills: brKnowledge of advanced analytics methods and biostatistical modeling (e.g., data mining, predictive analytics, and machine learning) brKnowledge of modern biological data warehouses (SRA, GEO) brExperience in cloud computing platforms (Amazon web services) brExperience in containerization systems (Docker/Singularity) brExperience in international teams brProficiency in working with high-dimension, large-scale datasets with low signal-to-noise ratios brRelevant publications brInnovation with regards to connecting biological insights and complex mechanisms of microbiome host-environment interactions What We Offer brCompetitive salary package aligned with experience and expertise. brFlexible working hours. brFuture working trajectory within the Foundation. br22 vacation days, 2 personal leave days and 3 extra days (working hours adjustment). brInternal training opportunities and a collaborative research environment. brAccess to flexible compensation program (meal, nursery, transport vouchers, health insurance). brOn-site childcare program during school holidays. brFree coffee, snacks and kitchen essentials. brGym partnership at reduced rate. brTeam events: summer dinner, holiday celebration, paella contest.