Director, Research

We need to output HTML fragment with sections: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections with real specific content. We must not repeat job title. No Job ID. Remove boilerplate. Keep all substantive info. We need to parse the posting. Key sections: - About The Role: description after "About The Role". Should be a paragraph. - Core Responsibilities: list of bullet points. - What Success Looks Like: maybe part of responsibilities? Could be separate but not required heading. The instruction: use headings for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we should map content to those headings. We have: About the role: paragraph. Responsibilities: the bullet list under "Core Responsibilities". Also "What Success Looks Like" could be considered part of responsibilities or maybe separate but not a standard heading; we could incorporate into Responsibilities as additional bullets? But we should not invent sections. Probably keep Responsibilities as the bullet list. The "What Success Looks Like" could be omitted or maybe included under Responsibilities as extra bullets? The instruction: "Prefer a few substantive sections over many thin ones." So we could combine Success into Responsibilities. Requirements: maybe the "Skills & Qualifications" section includes requirements. We need to separate Requirements and Qualifications and Skills? The posting lumps them together. We need to decide how to split. We have: Skills & Qualifications bullet list: - 12+ years of experience ... with a Master’s degree, 8+ years with a Ph.D., or an equivalent combination... - Graduate training in economics, health economics, statistics, public health, data science, or another quantitative field; a Ph.D. is preferred. - 4+ years of experience directly managing and developing people... - Strong knowledge of the U.S. healthcare system... - Proficiency with quantitative tools such as R, SQL, and/or Python... - Demonstrated ability to turn complex data into credible insights... - Excellent writing and presentation skills... - Strong judgment about research design... - Experience creating clear and compelling data visualizations; proficiency with Excel is required, and experience with Looker, Tableau, or an equivalent tool is a plus. - Strong cross-functional communication and stakeholder-management skills... - Comfort representing research externally... - Curiosity, intellectual honesty, attention to detail, and a passion... - LA preferred; remote also considered. Also there is a line about Engineering teams security controls (irrelevant). Also pay ranges and benefits. We need Benefits: The posting mentions "GoodRx also offers additional compensation programs such as annual cash bonuses or commission, and annual equity grants for most positions as well as generous benefits. Our great benefits offerings include medical, dental, and vision insurance, 401(k) with a company match, an ESPP, unlimited vacation, 13 paid holidays, and 72 hours of sick leave. GoodRx also offers additional benefits like mental wellness and financial wellness programs, fertility benefits, generous parental leave, pet insurance, supplemental life insurance for you and your dependents, company-paid short-term and long-term disability, and more!" Thus Benefits section. Pay: The posting includes pay ranges per location. So we should include Pay section with those ranges. Schedule: Not mentioned. No schedule info. So we should NOT include Schedule section. Requirements vs Qualifications: Could treat Requirements as the mandatory experience/education, Qualifications as preferred? But we need to follow instruction: include a section ONLY when posting has real, specific content for it. We have content for both Requirements and Qualifications? The posting lumps them; we could split: Requirements: the mandatory items (12+ years experience, 4+ years managing people, strong knowledge, proficiency with R/SQL/Python, Excel required, strong cross-functional communication, etc). Qualifications: preferred items (Ph.D. preferred, experience with Looker/Tableau plus, etc). But we need to avoid inventing filler. We can still split if we have clear distinctions. Let's extract: Mandatory (requirements): - 12+ years of experience in research, health economics, analytics, data science, or a closely related field with a Master’s degree, 8+ years with a Ph.D., or an equivalent combination of education and experience. - Graduate training in economics, health economics, statistics, public health, data science, or another quantitative field; a Ph.D. is preferred. (This says preferred, but still part of qualifications) - 4+ years of experience directly managing and developing people, with a track record of building high-performing teams. - Strong knowledge of the U.S. healthcare system, prescription drug markets, medication access, or drug pricing. - Proficiency with quantitative tools such as R, SQL, and/or Python, and the ability to complete and evaluate analytical work for methodological soundness. - Demonstrated ability to turn complex data into credible insights, research products, and recommendations. - Excellent writing and presentation skills, including the ability to explain research methods, assumptions, limitations, and conclusions to non-expert and non-technical audiences. - Strong judgment about research design, prioritization, data quality, and the tradeoffs between speed and rigor. - Experience creating clear and compelling data visualizations; proficiency with Excel is required, and experience with Looker, Tableau, or an equivalent tool is a plus. - Strong cross-functional communication and stakeholder-management skills, including the ability to align diverse perspectives and influence without authority. - Comfort representing research externally, or the willingness and ability to develop that skill. - Curiosity, intellectual honesty, attention to detail, and a passion for using evidence to improve people’s health and financial outcomes. - LA preferred; remote also considered. (maybe location preference) Qualifications: maybe the preferred items: Ph.D. preferred, experience with Looker/Tableau plus, etc. But we already included those. Could treat the whole list as Qualifications and not have separate Requirements. But we need to follow headings list; we can include Requirements and Qualifications if we have content. We could set Requirements as the mandatory experience/education/skills (the bullet list) and Qualifications as the preferred items (Ph.D. preferred, Looker/Tableau plus, LA preferred). However the posting says "LA preferred; remote also considered." That's location preference. Thus we can produce: Requirements: bullet list of mandatory items (maybe all except the preferred ones). Qualifications: bullet list of preferred items (Ph.D. preferred, Looker/Tableau plus, LA preferred). But we need to ensure not to duplicate. Let's decide: Requirements: - 12+ years of experience in research, health economics, analytics, data science, or a closely related field with a Master’s degree, 8+ years with a Ph.D., or an equivalent combination of education and experience. - 4+ years of experience directly managing and developing people, with a track record of building high-performing teams. - Strong knowledge of the U.S. healthcare system, prescription drug markets, medication access, or drug pricing. - Proficiency with quantitative tools such as R, SQL, and/or Python, and the ability to complete and evaluate analytical work for methodological soundness. - Demonstrated ability to turn complex data into credible insights, research products, and recommendations. - Excellent writing and presentation skills, including the ability to explain research methods, assumptions, limitations, and conclusions to non-expert and non-technical audiences. - Strong judgment about research design, prioritization, data quality, and the tradeoffs between speed and rigor. - Experience creating clear and compelling data visualizations; proficiency with Excel is required. - Strong cross-functional communication and stakeholder-management skills, including the ability to align diverse perspectives and influence without authority. - Comfort representing research externally, or the willingness and ability to develop that skill. - Curiosity, intellectual honesty, attention to detail, and a passion for using evidence to improve people’s health and financial outcomes. Qualifications: - Graduate training in economics, health economics, statistics, public health, data science, or another quantitative field; a Ph.D. is preferred. - Experience with Looker, Tableau, or an equivalent tool is a plus. - LA preferred; remote also considered. That seems reasonable. Now Responsibilities: we need to capture the bullet list under Core Responsibilities and also the "What Success Looks Like" maybe as additional bullets. Let's list Core Responsibilities bullets: - Set the vision, strategy, and quarterly roadmap for the Research function, translating GoodRx priorities and external developments into a focused portfolio of high-impact work. This research will include both consumers as well as healthcare professionals. - Lead, coach, and develop the Research team, including setting expectations, supporting performance and growth, and building the capabilities needed for the function’s next stage. - Establish team goals, KPIs, and operating processes that make progress, quality, and impact visible to cross-functional partners and leaders across the company. - Serve as a hands-on research leader by owning some high priority projects end-to-end, from framing the question and designing the methodology to analyzing data, communicating findings, and measuring impact. - Apply health economics, statistical, and data science methods to investigate issues and trends in healthcare, medication access, and drug pricing. - Use internal and external data sources to develop analyses, models, visualizations, and research products that are accurate, useful, and compelling. - Define research scope, methods, and standards; make sound tradeoffs among rigor, speed, and relevance. - Identify opportunities to improve existing datasets, partnering with cross-functional teams or with external vendors/partners. - Translate complex findings into clear narratives, including articles, blog posts, recurring reports, white papers, briefings, and other content for technical and non-technical audiences. - Partner effectively with PR, Editorial, Marketing, Government Affairs, Strategy, Sales, B2B Marketing, Product, and other teams to identify priority Research opportunities and extend impact. - Advise senior leaders on research findings, implications, limitations, and recommended actions. - Represent GoodRx externally with journalists, academic collaborators, industry stakeholders, and other audiences; build credibility through transparent methods and thoughtful communication. - Manage the Research budget, vendors, contracts, and renewals, allocating resources to maximize the function’s impact. - Help quantify GoodRx’s impact and relevance through credible research and clear measurement. What Success Looks Like bullets: - Establish a clear research strategy and roadmap aligned to GoodRx’s highest-priority questions. - Build a consistent operating model for prioritization, quality review, delivery, and impact measurement. - Deliver a portfolio of high-quality research that advances understanding of healthcare and drug pricing and earns trust with internal and external audiences. - Strengthen the team through coaching, thoughtful hiring or capability building, and clear expectations. - Increase the influence of research in business, product, communications, policy, and consumer-impact decisions. We can merge these into Responsibilities (makes sense). So Responsibilities bullet list includes all. Now About the role: paragraph(s) after "About The Role". Let's extract: "GoodRx is seeking a Director, Research to lead our research function and team. This is a balanced player/coach role: you will set the function’s strategy and operating rhythm, develop and support a high-performing team, and personally lead important research projects from question definition through publication and impact measurement. The ideal candidate brings deep expertise in health economics, drug pricing, and quantitative research; sound judgment about how to answer complex and ambiguous questions; and the ability to explain rigorous methods and nuanced findings clearly to non-technical audiences. You will partner with team leads across the company to identify the questions that matter most, translate company priorities into a focused research roadmap, and ensure that our work informs decisions across GoodRx and beyond." We'll put that in

. Now Benefits: we have paragraph. Now Pay: we have ranges per location. We'll list as bullet list maybe. Pay: bullet list: - San Francisco And Seattle Offices: $253,000.00 - $404,000.00 - New York Office: $232,000.00 - $371,000.00 - Santa Monica Office: $211,000.00 - $337,000.0