Senior Research Data Analyst
for sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Use - for any list of duties/requirements/benefits, and
for prose. Do NOT repeat job title as heading. Do NOT put Job ID/requisition numbers as headings. Remove boilerplate, navigation, legal, EEO, equal-opportunity, scam-warning, duplicated lines, application instructions. Include a section ONLY when posting has real, specific content for it — never emit heading followed by filler/placeholder text. Prefer few substantive sections over many thin ones.
We need to extract substantive content: Position Summary, Essential Duties And Responsibilities, Qualifications, Reporting Relationships, Working Conditions, Salary range, Total Rewards (benefits). Also mention hybrid role location and schedule (2-3 days per week in Bethesda office). Also mention "This is a hybrid role based in Bethesda, MD, and requires 2-3 days per week in the Bethesda office." That gives schedule info.
We need to decide which sections to include: About the role (maybe from Position Summary). Responsibilities (Essential Duties). Requirements (maybe Qualifications). Skills (maybe from Qualifications: analytic, troubleshooting, problem-solving, project management, communication, etc). Benefits (Total Rewards). Pay (salary range). Schedule (hybrid role 2-3 days per week). Also maybe Working Conditions? Could be part of About the role or separate but we can include if substantive. However we should avoid thin sections. Let's see.
We have:
- Position Summary: description of role, independent leads data projects, etc. That's substantive.
- Essential Duties And Responsibilities: list of duties (bulleted). Good.
- Qualifications: list of education, experience, skills. Good.
- Reporting Relationships: reports to Sr. Biostatistician, no supervisory responsibilities. Could be part of About the role or maybe not needed as separate section. Might be thin but still substantive. Could be included under About the role or omitted.
- Working Conditions: normal office environment, little exposure, no heavy lifting, minimal travel 4x/yr. Could be part of About the role or separate but maybe thin. Could be omitted.
- Salary range: $94,200 to $117,600. Specific salary varies based on geographic location and is commensurate with experience. That's pay info.
- Total Rewards: mention competitive compensation, benefits, time off, professional development opportunities. Could be Benefits section.
- Hybrid role schedule: 2-3 days per week in Bethesda office. That's schedule.
Thus we can have sections: About the role (position summary + maybe reporting relationships + working conditions?), Responsibilities, Qualifications, Skills (maybe extract from qualifications), Benefits, Pay, Schedule.
But we must avoid filler like "commensurate with experience" in Pay section? The instruction: "never emit a heading followed by filler/placeholder text (e.g. 'commensurate with experience', 'not specified', 'N/A', 'varies', 'TBD')". So if we include Pay section, we must not have just "commensurate with experience". We have actual salary range, plus note that specific salary varies based on geographic location and is commensurate with experience. The latter is filler? It says "Specific salary varies based on geographic location and is commensurate with experience." That's somewhat filler but still provides info. Might be okay but risk. Better to include only the concrete salary range and maybe mention that it's based on location. The phrase "commensurate with experience" is filler; we should avoid that phrase. So we can write Pay section with the salary range and note that salary varies based on geographic location (but not mention commensurate). That's okay.
Benefits: we have "Total Rewards: The CF Foundation is committed to offering competitive compensation (base pay and incentive), benefits, time off and professional development opportunities". That's substantive enough.
Skills: we can extract from Qualifications: Strong analytic, troubleshooting, 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 analysis of medical data and terminology. Also familiarity with SQL, R or Python recommended; Experience with data visualization. Those are skills.
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.
We could combine Qualifications and Skills but instruction says use headings for those sections if content exists. We'll have both.
Responsibilities: list of duties from Essential Duties And Responsibilities.
About the role: Position Summary plus maybe reporting relationships and working conditions? Could be combined.
Schedule: hybrid role 2-3 days per week in Bethesda office.
Now we need to output HTML fragment only, no /, no markdown fences.
We'll produce something like:
About the role
...
Responsibilities
- ...
...
Qualifications
- ...
...
Skills
- ...
...
Benefits
...
Pay
The salary range is $94,200.00 to $117,600.00, with specific salary varying based on geographic location.
Schedule
This is a hybrid role based in Bethesda, MD, requiring 2‑3 days per week in the Bethesda office.
We need to ensure we preserve all substantive information, not invent or summarize away detail. Let's extract details precisely.
About the role: Position Summary paragraph: "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."
We could also include reporting relationships: "This position reports to the Sr. Biostatistician. There will be no supervisory responsibilities." And 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."
We can include those in About the role paragraph or separate. To avoid thin sections, we can incorporate them into About the role.
Thus About the role paragraph will be a combination of those sentences.
Now Responsibilities: list from 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.
We need to keep exact phrasing? Preserve ALL substantive information; do not invent or summarize away detail. So we should keep the bullet points as given, maybe minor punctuation okay.
Now Qualifications: list:
- 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.
We could also include "Experience with the analysis of medical data and terminology." That's under Qualifications? Actually it's listed under Qualifications after communication skills? Let's re-check original:
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.
So the qualifications include both education/experience and skills. But we have separate Skills section. To avoid duplication, we could put education/experience in Qualifications, and the skill-based items in Skills. However the instruction says use headings for sections when posting has real, specific content. It didn't forbid overlapping content but we should avoid duplication? Not explicitly forbidden but better to split.
Thus Qualifications: education and experience (Masters, 6+ years SAS, familiarity with SQL/R/Python recommended, Experience with data visualization). That's four bullet points.
Skills: 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.
We could also include "Experience with data visualization" as skill but it's already in Qualifications; we could keep it there only.
Now Benefits: from 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." Also maybe mention "Visit our Why Work at the Cystic Fibrosis Foundation for detailed total rewards information." That's a link; we can omit as it's boilerplate? It's not boilerplate but it's a reference; we could keep but it's not substantive detail. Might be okay to include but it's basically a pointer. We'll keep the substantive part: competitive compensation (base pay and incentive), benefits, time off, professional development opportunities.
Pay: salary range.
Schedule: hybrid role 2-3 days per week in Bethesda office.
Now we need to ensure we don't include filler like "commensurate with experience". We'll avoid that phrase.
Now produce HTML.
Check for any duplicated lines: we should not repeat same content.
Let's craft.
About the role paragraph: combine position summary, reporting relationships, working conditions.
We'll write:
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.
for prose. Do NOT repeat job title as heading. Do NOT put Job ID/requisition numbers as headings. Remove boilerplate, navigation, legal, EEO, equal-opportunity, scam-warning, duplicated lines, application instructions. Include a section ONLY when posting has real, specific content for it — never emit heading followed by filler/placeholder text. Prefer few substantive sections over many thin ones. We need to extract substantive content: Position Summary, Essential Duties And Responsibilities, Qualifications, Reporting Relationships, Working Conditions, Salary range, Total Rewards (benefits). Also mention hybrid role location and schedule (2-3 days per week in Bethesda office). Also mention "This is a hybrid role based in Bethesda, MD, and requires 2-3 days per week in the Bethesda office." That gives schedule info. We need to decide which sections to include: About the role (maybe from Position Summary). Responsibilities (Essential Duties). Requirements (maybe Qualifications). Skills (maybe from Qualifications: analytic, troubleshooting, problem-solving, project management, communication, etc). Benefits (Total Rewards). Pay (salary range). Schedule (hybrid role 2-3 days per week). Also maybe Working Conditions? Could be part of About the role or separate but we can include if substantive. However we should avoid thin sections. Let's see. We have: - Position Summary: description of role, independent leads data projects, etc. That's substantive. - Essential Duties And Responsibilities: list of duties (bulleted). Good. - Qualifications: list of education, experience, skills. Good. - Reporting Relationships: reports to Sr. Biostatistician, no supervisory responsibilities. Could be part of About the role or maybe not needed as separate section. Might be thin but still substantive. Could be included under About the role or omitted. - Working Conditions: normal office environment, little exposure, no heavy lifting, minimal travel 4x/yr. Could be part of About the role or separate but maybe thin. Could be omitted. - Salary range: $94,200 to $117,600. Specific salary varies based on geographic location and is commensurate with experience. That's pay info. - Total Rewards: mention competitive compensation, benefits, time off, professional development opportunities. Could be Benefits section. - Hybrid role schedule: 2-3 days per week in Bethesda office. That's schedule. Thus we can have sections: About the role (position summary + maybe reporting relationships + working conditions?), Responsibilities, Qualifications, Skills (maybe extract from qualifications), Benefits, Pay, Schedule. But we must avoid filler like "commensurate with experience" in Pay section? The instruction: "never emit a heading followed by filler/placeholder text (e.g. 'commensurate with experience', 'not specified', 'N/A', 'varies', 'TBD')". So if we include Pay section, we must not have just "commensurate with experience". We have actual salary range, plus note that specific salary varies based on geographic location and is commensurate with experience. The latter is filler? It says "Specific salary varies based on geographic location and is commensurate with experience." That's somewhat filler but still provides info. Might be okay but risk. Better to include only the concrete salary range and maybe mention that it's based on location. The phrase "commensurate with experience" is filler; we should avoid that phrase. So we can write Pay section with the salary range and note that salary varies based on geographic location (but not mention commensurate). That's okay. Benefits: we have "Total Rewards: The CF Foundation is committed to offering competitive compensation (base pay and incentive), benefits, time off and professional development opportunities". That's substantive enough. Skills: we can extract from Qualifications: Strong analytic, troubleshooting, 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 analysis of medical data and terminology. Also familiarity with SQL, R or Python recommended; Experience with data visualization. Those are skills. 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. We could combine Qualifications and Skills but instruction says use headings for those sections if content exists. We'll have both. Responsibilities: list of duties from Essential Duties And Responsibilities. About the role: Position Summary plus maybe reporting relationships and working conditions? Could be combined. Schedule: hybrid role 2-3 days per week in Bethesda office. Now we need to output HTML fragment only, no /, no markdown fences. We'll produce something like:
About the role
...
Responsibilities
- ... ...
Qualifications
- ... ...
Skills
- ... ...
Benefits
...
Pay
The salary range is $94,200.00 to $117,600.00, with specific salary varying based on geographic location.
Schedule
This is a hybrid role based in Bethesda, MD, requiring 2‑3 days per week in the Bethesda office.
We need to ensure we preserve all substantive information, not invent or summarize away detail. Let's extract details precisely. About the role: Position Summary paragraph: "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." We could also include reporting relationships: "This position reports to the Sr. Biostatistician. There will be no supervisory responsibilities." And 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." We can include those in About the role paragraph or separate. To avoid thin sections, we can incorporate them into About the role. Thus About the role paragraph will be a combination of those sentences. Now Responsibilities: list from 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. We need to keep exact phrasing? Preserve ALL substantive information; do not invent or summarize away detail. So we should keep the bullet points as given, maybe minor punctuation okay. Now Qualifications: list: - 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. We could also include "Experience with the analysis of medical data and terminology." That's under Qualifications? Actually it's listed under Qualifications after communication skills? Let's re-check original: 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. So the qualifications include both education/experience and skills. But we have separate Skills section. To avoid duplication, we could put education/experience in Qualifications, and the skill-based items in Skills. However the instruction says use headings for sections when posting has real, specific content. It didn't forbid overlapping content but we should avoid duplication? Not explicitly forbidden but better to split. Thus Qualifications: education and experience (Masters, 6+ years SAS, familiarity with SQL/R/Python recommended, Experience with data visualization). That's four bullet points. Skills: 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. We could also include "Experience with data visualization" as skill but it's already in Qualifications; we could keep it there only. Now Benefits: from 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." Also maybe mention "Visit our Why Work at the Cystic Fibrosis Foundation for detailed total rewards information." That's a link; we can omit as it's boilerplate? It's not boilerplate but it's a reference; we could keep but it's not substantive detail. Might be okay to include but it's basically a pointer. We'll keep the substantive part: competitive compensation (base pay and incentive), benefits, time off, professional development opportunities. Pay: salary range. Schedule: hybrid role 2-3 days per week in Bethesda office. Now we need to ensure we don't include filler like "commensurate with experience". We'll avoid that phrase. Now produce HTML. Check for any duplicated lines: we should not repeat same content. Let's craft. About the role paragraph: combine position summary, reporting relationships, working conditions. We'll write: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.