Healthcare Audience Strategist

BranchLab•Boulder, CO

2d•Onsite

About The Position

BranchLab is looking for a Healthcare Audience Strategist to help design smarter, more effective healthcare audiences using a cutting edge AI approach to modeling. 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.

Requirements

Experience using real-world data to define patient populations.
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.

Nice To Haves

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.
Experience with pharmaceutical marketing, healthcare advertising, audience activation or healthcare measurement platforms is a strong plus.

Responsibilities

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.