Senior Research Data Analyst

Cystic Fibrosis Foundation•Bethesda, MD

9d•Hybrid

About The Position

The Cystic Fibrosis Foundation is a leading healthcare nonprofit organization dedicated to finding a cure for cystic fibrosis and ensuring individuals with CF can lead long, fulfilling lives. This role involves pioneering new ways to advance the mission through research and drug development. The Senior Research Data Analyst will be part of a collaborative and supportive work environment, with opportunities for professional growth and the chance to make a meaningful impact. The position is responsible for independently leading data projects and tasks using clinical data from the CF Patient Registry and other sources, providing analytical support for clinical research. The CF Foundation Patient Registry (CFFPR) is central to their care model, having driven significant improvements in CF care and informing research for new treatments. The analyst will engage in all stages of research projects, from design and analysis to dissemination, working closely with experts in various CF-related clinical specialties. This includes designing research studies, developing queries, performing statistical analyses, creating analytical reports, collaborating with investigators to validate and interpret results, and participating in discussions about the CF Registry. The role also involves collaborating with industry partners on regulatory data studies and supporting the development of the next generation of the CF Foundation Patient Registry. Additionally, the analyst will implement analyses to address high-priority research questions for CFF and the broader CF community. This is a hybrid role based in Bethesda, MD, requiring 2-3 days per week in the office.

Requirements

Master’s in Public Health, Statistics, Biostatistics, Epidemiology, Applied Mathematics, or Bioinformatics.
Six or more years of experience designing, developing, implementing analyses of public health, clinical or other similar data sources using SAS (required).
Familiarity with SQL, R or Python programming is recommended.
Experience with data visualization.
Strong analytic, troubleshooting, and problem-solving skills.
Strong project management and organizational skills.
Excellent written and oral communication skills.
Ability to communicate complex analysis results to lay audiences.
Ability to work collaboratively as part of the registry team.
Experience with the analysis of medical data and terminology.

Responsibilities

Conduct statistical analysis and complex queries for Foundation research projects.
Prepare reports for industry to submit to regulatory agencies to meet their mandated Post-Marking Requirements for approved therapies.
Support research-focused harmonization and integration of CFFPR data with other sources (e.g., international CF registries, administrative data sets).
Collaborate with the CFF Registry team, registry committee members and other CF community stakeholders on study design and data analysis.
Prepare conference submissions and contribute to peer-review manuscript development.
Fulfill analysis requests for data queries for external and internal stakeholders.
Support analysis to evaluate data quality and produce standard reporting outputs, including annual data reports.