Bioinformatics Analyst IV

Employer
Frederick National Laboratory
Location
Frederick, MD
Posted
Nov 21, 2020
Closes
Nov 24, 2020
Ref
1433831765
Function
Analyst
Industry
Science
Hours
Full Time
Bioinformatics Analyst IV Job ID: req1516 Employee Type: exempt full-time Facility: Frederick: Ft Detrick Location: PO Box B, Frederick, MD 21702 USA The 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 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 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. The Accelerating Therapeutics for Opportunities in Medicine (ATOM) consortium is a public-private partnership with the mission of transforming drug discovery by accelerating the development of more effective therapies for patients. ATOM technical teams are contributing to the mission by combining artificial intelligence/machine learning, bioinformatics and supercomputing. Frederick National Laboratory for Cancer Research is one of founding members. KEY ROLES/RESPONSIBILITIES * Work with stakeholders throughout the ATOM member organizations to accelerate drug discovery and drug development * Explore, analyze and use public and ATOM partners' data sets for building and optimizing (ex., hyperparameter optimization) Machine-Learning (ML) models using ATOM/AMPL * Provides expertise and guidance for data integration and data aggregation across multiple data sources and types * Develop processes to improve ATOM software usage and model performance in the NIH/NCI High-Performance Computing cluster and cloud environments * Complement data-driven drug discovery efforts with structural biology/bioinformatics knowledge to enhance model building efforts such as new therapeutic target identification, drug selectivity, and drug repurposing efforts * Analyze bioinformatics data through the use of machine learning techniques, computational methods, and cloud resources * Empower in-silico drug discovery data modeling results by supplementing Next Generation Sequencing, functional genomics data, and molecular docking/simulations * Promote ATOM software within the FNL/NIH/NCI user community by creating tutorials and organizing workshops * Work as a mentor to support the FNLCR mission of using data science to solve problems in cancer. BASIC QUALIFICATIONS To 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 a field related to biomedical research/scientific discipline or four (4) years relevant experience in lieu of degree. Foreign degrees must be evaluated for US equivalency. * In addition to the education requirement, a minimum of eight (8) year experience in a related field * Have a proven record of collaborating and publishing in high-quality chemistry/biology journals * Working knowledge of bioinformatics methods and data formats (eg, NGS, medical images, NLP, Structural Biology, Function Impact Analysis, Molecular Dynamics simulations, Docking, Homology Modeling) and experience in working with principal investigators, researchers, and data scientists * Hands-on experience in working with various life sciences research data and metadata including proteomics, genomics, image analysis, and clinical data * Self-motivated and willing to learn and explore data science technologies * To support collaborative teamwork, should possess strong oral and written skills * Must be able to obtain and maintain a security clearance PREFERRED QUALIFICATIONS Candidates with these desired skills will be given preferential consideration: * Possession of a Ph.D. degree from an accredited college or university according to the Council for Higher Education Accreditation * Fifteen (15) or more years of experience in creating data sets and building statistical models, has a Ph.D. in computer science, data science, bioinformatics, chemistry, biology, statistics, mathematics, or another quantitative field, with a strong background in programming (eg Python, R, Perl, bash) * Familiarity with the ATOM modeling capabilities including publicly released AMPL workflow * Experience collaborating with Department of Energy laboratories * Skilled in using statistical programming/scripting languages (R, Python, Linux Shell, etc.) to write machine-learning codes to manipulate biological and small-molecule data and draw insights from large data sets * Extensive experience with the application of machine learning/deep-learning methods for bioassay, NGS, and medical data * Expertise in using Linux OS for developing codes/scripts, transferring files, managing workflow, and using Batch job scheduler, SLURM, for time-consuming jobs * Expertise in creating/managing Conda environments for developing Python/R codes using Jupyter notebook * Previous experience of working with student interns is a plus * Experience with containers (eg, Docker, Singularity) for creating isolated computing environments for testing and sharing software * Extensive experience in collaborating and managing biomedical, drug-discovery, and genomic diseases projects * Experience in employing cloud-based services/environments such as AWS, Google Cloud/COLAB, Binder for collaborative research EXPECTED COMPETENCIES * Teamwork * Responsibility * Accountability * Communication * Good work ethics * Commercial Awareness Equal Opportunity Employer (EOE) | Minority/Female/Disabled/Veteran (M/F/D/V) | Drug Free Workplace (DFW) #readytowork

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