4 Scientific Data Analyst I/II Jobs in Frederick, MD
Frederick National Laboratory is Hiring a Scientific Data Analyst I/II Near Frederick, MD
Scientific Data Analyst I/II
Job ID: req3583
Employee Type: exempt full-time
Division: Vaccine, Immunity and Cancer
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.
Accountability, Compassion, Collaboration, Dedication, Integrity and Versatility; it's the FNL way.
PROGRAM DESCRIPTION
The Vaccine, Immunity and Cancer Directorate mission is to provide scientific leadership and laboratory infrastructure to study immune responses to Human Papillomavirus (HPV), SARS-CoV-2 infection and vaccines as well as other cancer preventive strategies in the context of clinical and pre-clinical studies.
As part of a large effort to combat the current SARS-CoV-2 pandemic, the National Cancer Institute (NCI) is collaborating with the National Institute of Allergy and Infectious Disease (NIAID), the Centers for Diseases Control and Prevention (CDC), the Food and Drug Administration (FDA), the Frederick National Laboratory (FNL) and other stakeholders to develop assays with the highest reproducibility, sensitivity and specificity for evaluation of immune responses against this new virus. To address gaps and unmet needs in serology assay development and standardization and to gain a solid fundamental knowledge of the immune response to SARS-CoV-2 and underlying mechanisms of protection against infection, NCI has established a Serological Sciences Network (SeroNet), which includes the Frederick National Laboratory (FNL) Serology Lab, leveraging the vast expertise and excellence in HPV serology at the FNL.
KEY ROLES/RESPONSIBILITIES
- 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.
BASIC QUALIFICATIONS
- Possession of a Bachelor’s degree from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) in a related field (Additional qualifying experience may be substituted for the required education). Foreign degrees must be evaluated for U.S. equivalency.
- More than 0-2 years (Level I) 2-5 years (Level II) experience in data analyses.
- Strong knowledge of statistics and scientific data analyses.
- Experience working with databases containing large data sets.
- Familiarity with statistical programming languages such as R Script 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.
PREFERRED QUALIFICATIONS
- 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.
JOB HAZARDS OR REQUIREMENTS
Work may involve the use of potentially hazardous chemical or biological materials or may be located in areas where such materials are used.
Commitment to Diversity
All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
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Job Summary
Full Time
$72k-92k (estimate)
06/10/2023
06/08/2024
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