--- title: 'Healthcare Audience Strategist at BranchLab' canonical: 'https://feeny.ai/job/healthcare-audience-strategist-branchlab-boulder-m7bczh51cq1t' type: 'job' last_seen: '2026-10-19' --- # Healthcare Audience Strategist at BranchLab - **Company:** BranchLab - **Location:** Boulder, CO - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-10-08 - **Last confirmed live:** 2026-10-19 - **Apply:** https://jobs.ashbyhq.com/branchlab/aeb20624-f005-4d49-aa2e-bfaf92a0b736 ## Job description Location Boulder, CO Employment Full time | On site Department Recruiting | Reporting to: VP, Operations Work authorization Applicants must have legal authorization to work in the U.S. without the need for current or future sponsorship. Not sure you meet every qualification? We encourage you to apply if you’re excited about this role and believe you could do it well. We value relevant experience in many forms, and you don’t need to check every box to be considered! ## About BranchLab BranchLab helps healthcare organizations and their agencies make smarter commercialization decisions and connect patients, providers, and caregivers to life-improving therapies and resources. Its AI-native platform, Pathwai™, supports audience planning, activation, and measurement while respecting the evolving privacy landscape. BranchLab works to improve performance without relying on individual-level health information. ## Why join BranchLab - Work on high-impact challenges where healthcare, data, and technology come together to help better therapies and resources reach the people who need them. - Join a nimble, collaborative team where your ideas move quickly from conversation to action, and where your work is visible, valued, and tied directly to BranchLab’s growth. - Share in BranchLab’s upside through competitive compensation, comprehensive benefits, and equity opportunities. ## About the Role BranchLab is looking for a Healthcare Audience Strategist to help design smarter, more effective healthcare audiences using a cutting edge AI approach to modeling. Today, many of our audiences begin with customer-defined clinical criteria — diagnosis codes, treatments, procedures and other claims-based signals — often aligned to existing measurement methodologies. Our Platform Operations team translates these requirements into executable audience definitions and identifies opportunities to improve them. We are looking for someone who can take this capability further. This role will combine healthcare data expertise, audience strategy and customer consultation to help determine not simply whether an audience definition is technically correct, but whether it is the best way to identify the patient population a customer is trying to reach. ## What You'll Do You will partner closely with Platform Operations, Customer Success, Data Science and our customers to: - Review healthcare audience definitions and identify opportunities to improve real world outcomes and ROI. - Evaluate diagnosis, procedure, treatment, pharmacy and other healthcare signals used to identify audience populations. - Understand the clinical and treatment journey behind an audience rather than evaluating individual codes in isolation. - Identify overly restrictive, duplicative or potentially irrelevant criteria within customer-provided audience definitions. - Recommend alternative audience strategies when a traditional claims-based definition may not be sufficient. - Partner with Data Science and AI Engineering to develop more sophisticated approaches using additional data sources or predictive methodologies. - Help customers understand the tradeoffs between measurement-aligned definitions, clinically expanded definitions and more predictive audience strategies. - Create clear, evidence-based recommendations that Customer Success teams can confidently communicate to customers. - Develop reusable audience-design frameworks, playbooks and best practices for common therapeutic areas and audience types. - Train Platform Operations and Customer Success teams on healthcare data, patient journeys and audience-design principles. - Help establish a consistent methodology for evaluating and documenting audience quality. ## What We're Looking For We are especially interested in candidates with experience using real-world data to define patient populations. Relevant backgrounds may include healthcare analytics, real-world evidence, epidemiology, health economics and outcomes research, clinical informatics, pharmaceutical commercial analytics, healthcare consulting or healthcare data strategy. The ideal candidate has: - Significant experience working with medical and pharmacy claims data. - Experience defining patient cohorts, phenotypes, treatment journeys or healthcare audiences. - Strong familiarity with healthcare coding systems such as ICD-10-CM, CPT, HCPCS and NDC. - An understanding of the strengths and limitations of claims data when identifying patient populations. - The ability to translate clinical and analytical concepts into clear recommendations for non-technical stakeholders. - Experience working directly with pharmaceutical, agency or healthcare customers. - Strong judgment and comfort operating in situations where there is not a single objectively correct audience definition. - Experience partnering with data scientists, analysts and technical teams. - Experience with pharmaceutical marketing, healthcare advertising, audience activation or healthcare measurement platforms is a strong plus. ## How We'll Measure Success We will measure the role based on whether it: - Improves the quality of audience strategies we recommend to customers. - Identifies meaningful opportunities that would not have emerged through our existing QA process. - Increases customer adoption of recommended audience changes. - Expands the types of audience strategies BranchLab can support. - Builds repeatable knowledge and tools that make the broader Platform Operations and Customer Success organizations stronger. ## Equal Employment Opportunity BranchLab is an equal opportunity employer. We are committed to providing a workplace free from discrimination, harassment, and retaliation. Employment decisions are based on qualifications, merit, and business needs, without regard to race, color, religion, creed, national origin, ancestry, citizenship or immigration status, sex, pregnancy or related medical conditions, sexual orientation, gender identity or expression, age, disability, genetic information, marital, familial or caregiver status, military or veteran status, or any other characteristic protected by applicable law. Applicants and employees have the right to request a reasonable accommodation for a disability, pregnancy, childbirth or a related medical condition, or sincerely held religious belief or practice. To request an accommodation during the application or interview process, please contact people@branchlab.com. BranchLab prohibits retaliation against anyone who requests an accommodation, reports discrimination or harassment, participates in an investigation, or otherwise exercises rights protected by law. ## About BranchLab ## Company Overview - **One-liner**: BranchLab provides a unified, privacy-first AI platform for pharmaceutical commercialization, enabling teams to predict health outcomes and optimize audience targeting for therapies. - **Entity Type**: Private (Series A) - **Headquarters**: New York, New York, USA & Boulder, Colorado, USA - **Founded**: 2024 - **Founders**: Josh Walsh (CEO), Dan Parkes (CTO), Michael Parkes (President & CRO) ## Core Business - **Primary industry/industries**: Healthcare AI, Pharmaceutical Commercialization, Healthcare Advertising Technology - **Target customers**: B2B — primarily pharmaceutical manufacturers (commercialization teams), advertising agencies, and publishers/platforms in the healthcare space - **Mission or purpose statement**: “To enable better healthcare decisions by applying AI in a way that is privacy-safe, rigorous, and designed for real-world use.” ## Products & Services - **Pathwai™ Platform**: A unified AI platform for pharma commercialization that predicts health outcomes without using Protected Health Information (PHI). It unifies research, marketing, and measurement in one system. - **Agentic Audience Creation & Optimization**: AI-driven tool to design and refine audiences using predictive modeling, deployable across all media types and channels. - **Omnichannel Activation**: Allows teams to explore and discover relevant audiences without exposing PHI, and activate proprietary audiences for greater qualified reach. - **Outcomes Optimization & Learning**: Measures real-world impact and continuously improves campaign performance using transformer-based architecture that trains on health data within customer-controlled environments. ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: Total funding of $35 million (latest: $26M Series A raised in May 2026) - **Notable Investors/Partners**: McKesson Ventures (lead), FCA Venture Partners, Sanofi Ventures, AIX Ventures, plus 10 other investors including CIMM Startup Program - **Growth Signals**: - Founded in 2024 and raised Series A within ~2 years - Reports delivering an average increase of nearly **70% in marketing efficacy** across diverse therapeutic areas - Claims **90% higher performance** than industry average audience quality vs. claims-based targeting - Reports **20× reduction** in cost per target audience reached - Claims **3× lower CPM** compared to competitive predictive audience targeting - Reports **30× faster** time to execute healthcare campaigns ## Competitive Advantages - **Privacy-first AI Architecture**: Uses a novel transformer-based model that trains on health data within customer-controlled environments while deploying only non-sensitive demographic and media-side signals — a key differentiator in the highly regulated pharma space. - **Unified Platform**: Replaces fragmented, offline workflows (typically involving multiple vendors for patient identification, segmentation, activation, and measurement) with a single AI-driven platform. - **No PHI Required**: Predicts health outcomes using only demographic data, enabling compliance with strict privacy regulations (HIPAA, etc.) while still delivering performance. - **Speed**: Collapses workflows that used to take months into minutes, giving pharma teams near real-time decision-making capability. ## Strategic Focus - Expand enterprise deployments with leading pharmaceutical companies - Deepen integrations across the healthcare and media ecosystem (publishers, platforms, agencies) - Continue building out the unified AI platform for pharma commercialization as the “infrastructure layer for how therapies are brought to market in the AI era” - Scale the team across engineering, data science, product, and client success roles ## Why Work Here - **High-growth startup**: Founded in 2024 and already at Series A with $35M total funding, backed by top-tier healthcare and AI investors including McKesson Ventures and Sanofi Ventures. - **Meaningful mission**: Work on AI that directly impacts how patients learn about and access life-improving therapies — the company explicitly states their work is grounded in “the belief that more informed, compliant, and predictive decision-making can meaningfully improve how healthcare systems serve patients.” - **Cutting-edge AI work**: Building novel transformer-based architectures for regulated environments — a challenging technical problem at the intersection of AI, healthcare, and privacy. - **Flexible locations**: Offices in both New York, NY and Boulder, CO — roles are listed as hybrid/on-site in those locations (specific policy per role). - **Engineering & data science focus**: Current open roles include Software Development Engineer, Data Scientist, Senior Data Scientist, Manager of Data Science, and Product Designer — indicating a strong technical core. - **Early-stage culture**: Opportunity to shape product, infrastructure, and culture at a formative stage; the company has a small team (LinkedIn shows ~2-10 employees range) offering high ownership and impact. - **Leadership credibility**: CEO Josh Walsh and CTO Dan Parkes bring deep domain expertise; the team includes VP of Data Science & AI Kat Drake. ## Sources 1. [branchlab.com](https://branchlab.com/) 2. [branchlab.com/about](https://branchlab.com/about) 3. [branchlab.com/careers](https://branchlab.com/careers) 4. [cbinsights.com](https://www.cbinsights.com/company/branchlab) 5. 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