Job Details - Senior Database Engineer - 40162464 | Frederick National Laboratory Talent Network
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Senior Database Engineer in Frederick, MD

Location: Frederick, MD
Career Level: Mid-Senior Level
Industries: Healthcare, Pharmaceutical, Biotech


Senior Database Engineer

Job ID: req2015
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.

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

 Position Overview:


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. 

The Advanced Biomedical Computing Sciences (ABCS), part of BIDS, provides scientific computing, modeling, imaging, and bioinformatics support, engages in scientific consultation and collaboration, and offers training to NCI and NIH scientists and staff. 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. 


  • Lead data architecture and modeling efforts as well as build database and integration services using variety of tools and technologies such as RDBMS, NoSQL, Graph Models and distributed architecture in accordance with the functional and nonfunctional requirements of other teams and scientists 
  • Develop advanced analytic models and machine learning algorithms that discover clinical insights 
  • Develop custom data querying/mining pipelines for mining and integrating information from clinical and genomic data, multi-level biological annotations and information from other knowledge mining applications 
  • Coordinate with the other technical and nontechnical teams in building public-facing applications and services (APIs) for a variety of users in the cancer research field 
  • Work closely with other FNL and NCI teams to coordinate activities and develop collaborative projects


To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below: 

  • Possession of Master's degree from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) or six (6) years relevant experience in lieu of degree.  Foreign degrees must be evaluated for U.S. equivalency
    • Database Engineer V  - In addition to the education requirement, a minimum of ten (10) years of progressively responsible experience
  • Possession of Bachelor's degree from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) or four (4) years relevant experience in lieu of degree.  Foreign degrees must be evaluated for U.S. equivalency
    • Database Engineer IV  - In addition to the education requirement, a minimum of eight (8) years of progressively responsible experience
  • Deep knowledge in data structures, data modeling and architecture for high-throughput and scalability 
  • Significant expertise in RDBMS like Oracle, MySQL  & PostgreSQL 
  • Strong knowledge of various querying languages and query performance tuning with demonstrated ability of writing complex queries 
  • Expertise in database architecture and skilled in developing and managing large complex databases 
  • Experience in building robust data pipelines and services 
  • Knowledge in scripting languages and Unix/Linux OS scripting 
  • Strong knowledge of algorithms and one or more programing languages such as Python, Java, or C++  
  • Strong drive and initiative to explore new territories in data and knowledge mining 
  • Demonstrated ability to learn and apply new technologies according to the changing needs of the project and organization 
  • Able to work on initiatives independently and in a highly collaborative environment 
  • Has strong work ethics, organized, detail oriented and focused on execution 
  • Strong verbal and written communication skills 
  • Ability to obtain and maintain a security clearance 


Candidates with these desired skills will be given preferential consideration:

  • Expertise in NoSQL data architecture such as Key-Value, column, document and graph model 
  • Knowledge of agile web development, experience in developing data integration and visualization tools
  • Knowledge of the biomedical domain
  • Knowledge of NLP applications 
  • Leadership characteristics – Able to mentor and direct  junior developers on technical issues

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


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