Bioinformatics and Operational Lead

Bioinformatics and Operational Lead The Opportunity:   Serve as a Bioinformatics and Operational Lead  supporting the adoption and enhancement of enterprise on-prem and cloud bioinformatics platforms and analytical tools. Apply bioinformatics domain knowledge to support creation of clear scientific and public health training materials for bioinformatics platforms and tools. Assist with product demonstrations, stakeholder briefings, and user e nga gement activities to support adoption and feedback including user acceptance testing activities. Partner closely with product managers and engineering teams to take in new bioinformatics use cases and ensure bioinformatics platforms are user- center ed. Work collaboratively to ensure user satisfaction, drive platform adoption, and deliver actionable solutions to a variety of bioinformatics support and operational challenges. Apply a bioinformatics lens to gather, analyze, and translate scientific and operational requirements from users into platform and product capabilities. Track requirements and delivery progress using tools such as Azure DevOps or Jira. This position is located in Atlanta, GA.    You Have:   5+ years of experience supporting or analyzing bioinformatics workflows, data types, and analytical use cases such as genomics, sequencing data, pipelines, or surveillance analytics on Linux based on-premise high-performance computing environments  Experience with bioinformatics and genomic toolkits, databases, and scripting languages, including Python, R, or Shell  Experience using parallel programming capabilities through workflow tools, including Snakemake or Nextflow, on Linux based on-premise high-performance computing environments  Experience with next-generation sequencing, omics data analysis, and open-source omics analysis tools and workflows as they apply to public health genomics  Knowledge of data technologies used in bioinformatics or analytical applications, including SQL, NoSQL databases, or web-based interfaces  Ability to troubleshoot operational issues, identify dependencies and risks, and coordinate with technical teams to drive issues toward resolution  Ability to manage multiple workflows, requirements, tasks, and priorities in a structured delivery environment Ability to lead client and stakeholder discussions, document requirements, and translate scientific or technical needs into actionable implementation steps  Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements Master’s degree   Nice If You Have:   Experience incorporating CI / CD, DevSecOps, and MLOps best practices into the development process  Experience working in cloud-based environments, including AWS or Azure   Experience with a wide range of supervised and unsupervised machine learning techniques, including neural networks, decision trees, logistic regressions, or dimension reduction  Experience with visualization tools, including Power BI or Tableau  Knowledge of Agile, Scrum, Kanban, or SAFe delivery environments  Ability to  write white papers and scientific and technical manuscripts for publication Master's degree in Bioinformatics, Math, Biostatistics, Physics, Analytics, Computer Science, Data Science, Epidemiology, or Life Science preferred; Doctorate degree in Bioinformatics, Math, Biostatistics, Physics, Analytics, Computer Science, Data Science, Epidemiology, or Life Science a plus Vetting:    Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client .

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