Job Description

Bioinformatics Manager I

Job ID: req2120
Employee Type: exempt full-time
Division: Bioinformatics and Computational Science
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.

Accountability, Compassion, Collaboration, Dedication, Integrity and Versatility; it's the FNL way.

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 Bioinformatics and Computational Science (BACS) 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 BACS 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/RESPONSIBILITIES

• Lead the rare disease informatics research project for ABCS
• Provide scientific and technical leadership for bioinformatics and data science aspects of the project
• Manage and supervise analysts supporting the project
• Design and architect solutions for complex data integration aspects of rare disease research
• Write, revise and submit scientific manuscripts on significant research findings
• Interface with stakeholders, government sponsors and company management, and provide status reports, presentations, and application demonstrations

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 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 U.S. equivalency
• In addition to educational requirements, a minimum of four (4) years progressively responsible bioinformatics experience, including two (2) years of experience in a supervisory/leadership capacity
• Experience managing bioinformatics and/or data science analysts
• Demonstrated ability to understand and develop machine learning algorithms in the bioinformatics field
• Experience analyzing genomics and/or chemoinformatics data sets
• Demonstrated experience implementing solutions for complex structured and unstructured scientific data integration
• Expertise in R and Python
• Experience with Unix/Linux OS scripting
• Experience with high performance computing
• Excellent knowledge of scientific data sets in the public domain
• Excellent written and verbal communication skills/ability to document and communicate complex scientific concepts for a variety of audiences
• Ability to obtain and maintain a security clearance

PREFERRED QUALIFICATIONS

Candidates with these desired skills will be given preferential consideration:

• Masters or PhD in bioinformatics or a related field
• Experience with web and database technologies
• Experience with NGS analysis
• Experience with natural language processing and literature mining
• Knowledge of rare disease research and associated complexities

Equal Opportunity Employer (EOE) | Minority/Female/Disabled/Veteran (M/F/D/V) | Drug Free Workplace (DFW)

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