.We are hiring a BIO IT Director at the Carlos Simon FoundationThe candidate will lead and manage the Data Analysis area of the Institution, designing and implementing controlled and highly specialized genomic analysis procedures, developing novel analytical methods, and driving the strategy for the generation, management, and utilization of genomic data for the Foundation.Key Accountabilities and ResponsibilitiesLead and manage a team of data scientists, providing guidance, mentoring, and fostering a collaborative work environment with continuous learning.Design data analysis pipelines following the most reliable methodologies in the field, including analysis checkpoints, data annotation, and documentation of processes and results.Collaborate with Principal Investigators (PIs) of the Institution in designing genomic experiments to ensure subsequent analysis aligns with study objectives.Design a workflow model between the data scientist team and analysis projects, establishing task allocation, deadline management, and responsibilities.Play a cross-functional role, providing assistance to various ongoing projects, focusing on leading the development and maintenance of bioinformatics analysis pipelines and genomic, metagenomic, and transcriptomic databases.Manage the team of IT scientists responsible for performing bioinformatics analysis of raw sequencing data and developing/maintaining databases necessary for comparisons, statistics, and knowledge generation, Big Data, and IoT.Establish deadlines for ongoing projects and allocate resources to achieve established objectives and deadlines.Prepare reporting to inform on the progress of ongoing projects and results, interacting with both PIs and the Presidency.Supervise the proper execution of tasks by team members to identify potential issues before project analysis tasks are completed.Establish indicators and double-check procedures to guarantee analysis results.Participate in developing quality control lines, processing, and analyzing multi-level biological data (e.G., RNA-seq, GWAS, proteomics, epigenomics, metagenomics, single-cell RNA-seq).Implement procedures to ensure shared knowledge management (proper knowledge transfer, technical documentation of projects, procedures, etc.).Collaborate with team members, experts, internal and external projects to propose, develop, and evaluate innovative machine learning models for understanding data, its application, effectiveness, and safety.Establish work procedures to identify, quantify, and obtain tangible improvement proposals regarding data analysis.Implement a technological surveillance system to incorporate the most novel and potentially impactful analytical methodologies into work pipelines.Propose and oversee research projects in data analysis aligned with the Foundation's genomic studies that can add value to the data