Bioinformatics Manager I

Frederick National Laboratory
Frederick, MD
Nov 23, 2021
Nov 26, 2021
Full Time
PROGRAM DESCRIPTION The Frederick National Laboratory is dedicated to improving human health through the discovery and innovation in the biomedical sciences, focusing on cancer, AIDS and emerging infectious diseases. The Biomedical Informatics and Data Science (BIDS) directorate works collaboratively and helps to fulfill the mission of Frederick National Laboratory in the areas of biomedical informatics and data science by developing and applying world leading data science and computing technologies to basic and applied biomedical research challenges, supporting critical operations, developing and delivering national data resources, and employing leading-edge software and data science to effectively enable and advance science. The Advanced Biomedical and Computational Science (ABCS) group is a part of BIDS within Leidos Biomedical Research as a technological hub of translational scientists with expertise in structural biology, biology, chemistry, imaging, and informatics. ABCS develops state-of-the-art technologies in large-scale data modeling, analysis, and integration and supports the scientific research at the Frederick National Lab by helping translate scientific questions to technical solutions for cancer and biomedical research. The Data Solutions and Systems Biology (DSSB) group in ABCS strives to streamline and provide innovative solutions for the NCI/NIH community to access and use biological information collected across different sources and formats. Integrating diverse data sources to streamline project requests and analysis workflows, enable disease agnostic access and analysis, variant impact annotation, identifier conversions across species, and merging clinical and research data enabling translation from basic to the goal of precision medicine.KEY ROLES/RESPONSIBILITIESLead the rare disease informatics research project for ABCSProvide scientific and technical leadership for bioinformatics and data science aspects of the projectManage and supervise analysts supporting the projectDesign and architect solutions for complex data integration aspects of rare disease researchWrite, revise and submit scientific manuscripts on significant research findingsInterface with stakeholders, government sponsors and company management, and provide status reports, presentations, and application demonstrationsBASIC QUALIFICATIONSTo be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below:Possession of Bachelor's degree from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) in computer science, Bioinformatics, Biomedical Science or a related field or four (4) years relevant experience in lieu of degree. Foreign degrees must be evaluated for US equivalencyIn addition to educational requirements, a minimum of four (4) years progressively responsible bioinformatics experience, including two (2) years of experience in a supervisory/leadership capacityExperience managing bioinformatics and/or data science analystsDemonstrated ability to understand and develop machine learning algorithms in the bioinformatics fieldExperience analyzing genomics and/or chemoinformatics data setsDemonstrated experience implementing solutions for complex structured and unstructured scientific data integrationExpertise in R and PythonExperience with Unix/Linux OS scriptingExperience with high performance computingExcellent knowledge of scientific data sets in the public domainExcellent written and verbal communication skills/ability to document and communicate complex scientific concepts for a variety of audiencesAbility to obtain and maintain a security clearancePREFERRED QUALIFICATIONSCandidates with these desired skills will be given preferential consideration:Masters or PhD in bioinformatics or a related fieldExperience with web and database technologiesExperience with NGS analysisExperience with natural language processing and literature miningKnowledge of rare disease research and associated complexities

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