Bioinformatics Analyst - Data ScientistsJob ID: req1171Employee Type: exempt full-timeDivision: Biomedical Informatics & Data ScienceFacility: Rockville: 9605 MedCtrDrLocation: 9605 Medical Center Drive, Rockville, MD 20850 USAThe Frederick National Laboratory is a Federally Funded Research and Development Center (FFRDC) sponsored by the National Cancer Institute (NCI) and operated by Leidos Biomedical Research, Inc. The lab addresses some of the most urgent and intractable problems in the biomedical sciences in cancer and AIDS, drug development and first-in-human clinical trials, applications of nanotechnology in medicine, and rapid response to emerging threats of infectious diseases.Our core values of accountability, compassion, collaboration, dedication, integrity, and versatility serve as a guidepost for how we do our work every day in serving the public's interest.Position Overview:PROGRAM DESCRIPTIONThe 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. With leading science and technology, the laboratory performs basic research, supports clinical trials and drug development, develops and applies next-generation technologies to solve applied problems while serving as a national resource of high-tech facilities, while also effectively responding to emerging health threats.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 clinical trials.The Strategic and Data Sciences Initiatives group in BIDS works collaboratively to continue to accelerate cancer research with a focus on increasingly effective use of data and scalable computing while guiding development of future computational infrastructure and workforce capabilities needed to address key cancer research challenges.KEY ROLES/RESPONSIBILITIESBioinformatics AnalystResponsible for the analysis of bioinformatics data through the use of machine learning techniques, computational methods, and cloud resources to facilitate analysis such as next generation sequencing, functional genomics data, drug data, natural language processing, molecular dynamics simulations, and image processingProvides expertise and guidance for data integration and data aggregation across multiple data types and data sourcesContributes with educational material and expertise for training initiatives across the programContributes to development and testing of data science workflows implemented on High Performance Computing and Cloud systemsBASIC QUALIFICATIONSTo be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below:Bachelor's, Master's or PhD from an accredited college or university according to the Council for Higher Education Accreditation in areas related to life science, computer science, data science, or biomedical informatics. (Additional qualifying experience may be substituted for the required education), andExperience working in clinical/bioinformatics projects with a strong background in programming (eg Python, R, Perl, bash)Working knowledge of bioinformatics methods and data formats (eg, NGS, medical images, NLP, structural biology, molecular dynamic simulations, etc. ) and experience working with Ph.D. and MD researchersHands-on experience working with various life sciences research data and metadata including proteomics, genomics, image analysis, and clinical dataSelf-motivated and willing to learn and explore technologyMust be able to obtain and maintain a security clearancePREFERRED QUALIFICATIONSCandidates with these desired skills will be given preferential consideration:PhD preferred with degree in life sciences, computational sciences, or data sciencesExperience with application of machine learning / deep learning methods for medical dataExperience with cloud environment eg AWS, Azure or Google CloudKnowledge of scientific workflows development (eg Snakemake, Nextflow, CWL, etc.)Experience with use of containers (eg, Docker, Singularity, etc.)This position description does not represent a specific job but represents a sourcing announcement for current and future open positions. Our positions span a wide range of skills, so candidates who express an interest may be considered for upcoming positions at Frederick National Laboratory for Cancer Research.Equal Opportunity Employer (EOE) | Minority/Female/Disabled/Veteran (M/F/D/V) | Drug Free Workplace (DFW)#readytowork