Immunology Data Analyst II — Clinical & Vaccine Studies

BioSpace; Frederick (MD); On-site; USD 77,000 - 110,000; Full time

Job summary

Leidos Biomedical Research, Inc. operates the Frederick National Laboratory, where the Vaccine, Immunity and Cancer Directorate conducts immunological studies and analyzes large clinical datasets.

The Scientific Data Analyst II will work with VICD leadership and lab staff to manage data, perform statistical analyses, and ensure quality and reproducibility of results. The position is on site in Frederick, MD, with responsibilities spanning study design guidance, data interpretation, and

Qualifications

• Master’s degree in Statistics or related field; CHEA evaluation for foreign degrees.
• Minimum of two years of progressively responsible data analyses experience.
• Strong knowledge of statistics and scientific data analyses.
• Experience with databases containing large data sets.
• Statistical programming languages such as R and SAS; applied to biomedical studies.
• Experience in evaluation of assay performance by applying statistical trend analysis.

Responsibilities

• Build and manage databases to support large-scale immunological datasets.
• Perform data review for completeness, accuracy and quality standards.
• Automate data collection and analysis processes for reproducibility.
• Design tables and graphs in publication-ready form and present results to managers.

Skills

Statistics

R

SAS

Data management

Python

Education

Master's degree in Statistics or related field

PhD in Statistics (preferred)

Tools

SAS

R

Python

Job description

Leidos Biomedical Research, Inc. operates the Frederick National Laboratory, where the Vaccine, Immunity and Cancer Directorate conducts immunological studies and analyzes large clinical datasets.

The Scientific Data Analyst II will work with VICD leadership and lab staff to manage data, perform statistical analyses, and ensure quality and reproducibility of results. The position is on site in Frederick, MD, with responsibilities spanning study design guidance, data interpretation, and