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Serology Laboratory Scientific Data Analyst

Job ID: req1562
Employee Type: exempt full-time
Facility: Frederick: ATRF
Location: 8560 Progress Dr, Frederick, MD 21701 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:


The Clinical Services Program's primary mission is to perform sequential studies using samples obtained from patients with cancer, AIDS, chronic granulomatous disease or other diseases associated with immunologic dysfunction, as well as to monitor viral load in patients with HIV.

The Vaccine, Immunity and Cancer Program investigates immune responses to infections and vaccines in preclinical and clinical studies, with a focus on HPV and more recently on COVID-19 serology.

The Vaccine, Cancer and Immunity Program is seeking a Serology Scientific Data Analyst that will be responsible for data management and complex data analyses activities at the FNLCR Serology Lab.


  • Perform review of lab data and associated documentation
  • Perform validations of templates used for data acquisition and analysis following pre-defined procedures
  • Perform data analyses, data QC, and data interpretation in a timely manner within projected timelines
  • Automate data collection and analysis processes
  • Prepare manual of procedures for data collection and data analyses
  • Analyze large amounts of data to identify trends and patterns employing new and existing tools to interpret, analyze, and visualize data
  • Provide study design guidance to study investigators, such as power calculations
  • Identify appropriate statistical methodology needed to meet study objectives
  • Perform statistical analyses of large, complex datasets from clinical trials and large epidemiological and longitudinal studies using appropriate statistical software packages
  • Design and generate tables and graphs in publication-quality form, and present results to managers and directors in a regular basis
  • Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements
  • Prepare and deliver reports for interim and final analyses, including data sections for quality control and validation reports
  • Write and review statistical sections of study protocols, and manuscripts
  • Review study proposals, including clinical trials and apply standards to create summary data reports
  • Efficiently troubleshoot or report any unexpected technical problems
  • Effectively communicate with all data generators and submitters to address requests, questions and concerns and clearly document actions taken


  • Possession of Bachelor’s degree from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) in 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 the education requirement, a minimum of two (2) years of experience
  • Strong knowledge of statistics and scientific data analyses
  • Experience working with databases containing large data sets
  • Familiarity with statistical programming languages such as R and SAS
  • Experience in evaluation of assay performance by applying appropriate statistical trend analysis
  • Strong analytical skills
  • Experience with data management, Lab Information Management Systems and data transfer from different platforms
  • Must be able to obtain and maintain a security clearance


  • A Masters’ degree in a quantitative science is preferred
  • Deep understanding and experience in processing high throughput biomedical data: data cleaning, normalization, analysis, interpretation and visualization
  • Ability to understand and analyze data from complex experimental and epidemiological designs involving immunology, serology and biomarker assay data
  • Proficiency in programming languages
  • Experience in assay development, reference standard data analyses
  • Experience in data standardization
  • Experience with GxP compliance
  • More than 2 years experience in data analyses


  • This position is subject to working with or have potential for exposure to infectious material, requiring medical clearance and immunizations

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