Job description

The Cystic Fibrosis Foundation is a leading healthcare nonprofit organization like no other. For decades, we have been taking major steps and pioneering new ways to advance the mission to find a cure for cystic fibrosis and to provide all people with CF the opportunity to lead long, fulfilling lives by funding research and drug development, partnering with the CF community, and advancing high-quality, specialized care. By joining the Cystic Fibrosis Foundation , you will be part of a dedicated team committed to our core values and working towards a cure for cystic fibrosis. We offer a collaborative and supportive work environment, opportunities for professional growth, and the chance to make a meaningful impact in the lives of those affected by CF. Learn more about why work at the Cystic Fibrosis Foundation . Position Summary: The Senior Research Data Analyst independently leads various types of data projects and tasks involving clinical data from the CF Patient Registry and other sources and provides analytical support for clinical research. The CF Foundation Patient Registry (CFFPR) is at the core of our care model. Over the last several decades, the Registry has allowed for significant improvements in the lives of people with CF, advancing care and informing research for the development of new treatments, including Transmembrane Conductance Regulator modulators (CFTR). The Sr. Research Data Analyst engages in all stages of research projects from design and analysis to dissemination and works closely with experts across the spectrum of CF-related disease, which includes pulmonology, transplantation, and other clinical specialties. Specific responsibilities include independent design of research studies and methodologies; design and development of queries, statistical analyses, and analytical reports; collaboration with investigators to validate, troubleshoot, and interpret results; active participation in discussions about the CF Registry and the Registry data. The Sr. Research Data Analyst is also responsible for collaborating directly with our industry partners to design and execute regulatory data studies. Additionally, the Sr. Research Data Analyst supports the design and deployment of the next generation of the CF Foundation Patient Registry by implementing complex queries and analyses with an ultimate goal to enhance the impact of the data collected at the Registry. The Sr. Research Data Analyst also implements analyses to advance projects that address high priority research questions of interest to CFF and the broader CF community. This is a hybrid role based in Bethesda, MD, and requires 2-3 days per week in the Bethesda office. ESSENTIAL DUTIES AND 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. QUALIFICATIONS: 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. REPORTING RELATIONSHIPS: This position reports to the Sr. Biostatistician. There will be no supervisory responsibilities. WORKING CONDITIONS: Normal office environment with little exposure to excessive noise, dust, and temperature. No heavy lifting required. Minimal travel (e.g., 4x/yr.) to conferences and meetings, as necessary. The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of essential functions, responsibilities or requirements. This position will be posted for a minimum of 5 days or until the position is filled. Applications will be accepted on an ongoing basis, so candidates are encouraged to apply promptly if interested. The salary range is $94,200.00 to $117,600.00. Specific salary varies based on geographic location and is commensurate with experience. Total Rewards: The CF Foundation is committed to offering competitive compensation (base pay and incentive), benefits, time off and professional development opportunities that maximize our ability to recruit, retain, reward, and motivate a highly qualified and diverse workforce. Visit our Why Work at the Cystic Fibrosis Foundation for detailed total rewards information. The CF Foundation is an equal opportunity employer that is committed to being an employer of choice, not just a good place to work, but a great and inclusive place to work. We strive to recruit and maintain a diverse workforce. Qualified applicants will receive consideration for employment without regard to race, physical or mental disability, color, religious creed, ancestry, national origin, religion, age, sex, pregnancy, marital status, genetic information or testing, gender identity and expression, sexual orientation or status as a Vietnam-era or special disabled veteran or any characteristic protected by law. Reasonable Accommodations: The CF Foundation is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or would like to request an accommodation due to a disability, please contact us at HROps cff.org. #LI-Hybrid

Requirements

Must-haves

This is a hybrid role based in Bethesda, MD, and requires 2-3 days per week in the Bethesda office.
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.
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.
This position reports to the Sr. Biostatistician.
There will be no supervisory responsibilities.
Normal office environment with little exposure to excessive noise, dust, and temperature.
No heavy lifting required.
Minimal travel (e.g., 4x/yr.) to conferences and meetings, as necessary.
The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of essential functions, responsibilities or requirements.
This position will be posted for a minimum of 5 days or until the position is filled. Applications will be accepted on an ongoing basis, so candidates are encouraged to apply promptly if interested.

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sqlpython

Platform: workday
Effort: long

Benefits

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Professional Development