Associate Director, Media Data Science

United States·New YorkRemotePermanent/full-timeexecutive

Data ScienceOtherDirectorData & AI

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About Avalere Health United by one profound purpose: to reach EVERY PATIENT POSSIBLE. At Avalere Health, we ensure every patient is identified, treated, supported, and cared for. Equally.

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Data ScienceOtherDirectorData & AI

About Avalere Health

United by one profound purpose: to reach EVERY PATIENT POSSIBLE. At Avalere Health, we ensure every patient is identified, treated, supported, and cared for. Equally. Our Advisory, Medical, and Marketing teams come together – powerfully and intentionally – to forge unconventional connections, building a future where healthcare is not a barrier and no patient is left behind.

Achieving our mission starts with providing enriching, purpose-driven careers for our team that empower them to make a tangible impact on patient lives. We are committed to creating a culture where our employees are empowered to bring their whole selves to work and tap into the power of diverse backgrounds and skillsets to play a part in making a difference for every patient, everywhere.

Our flexible approach to working allows our global teams to decide where they want to work, whether in-office or at home based on team and client need. Major city hubs in London, Manchester, Washington, D.C., and New York, and smaller offices globally, serve as collaboration hubs allowing our teams to come together when it matters. Homeworkers are equally supported, with dedicated social opportunities and resources.

Our inclusive culture is at the heart of everything we do. We proudly support our employees in bringing their whole selves to work with our six Employee Network Groups – Diverse Ability, Family, Gender, LGBTQ+, Mental Health, and Race/Ethnicity. These groups provide opportunities to promote diversity, equity, and inclusion and to connect, learn, and socialise through regular meetings and programs of activity. We are an accredited Fertility Friendly employer with our Fertility Policy, enhanced parental leave, and culture of flexibility ensuring every employee feels supported across their family planning journey and can work in a way that suits their family’s needs.

We are deeply invested in supporting professional growth for our employees through day-to-day career experiences, access to thousands of on-demand training sessions, regular career conversations, and the opportunity for global, cross-capability career moves.

We take pride in being part of the Disability Confident Scheme. This helps make sure you can be interviewed fairly if you have a disability, long term health condition, or are neurodiverse. If you'd like to apply and need adjustments made, you can let us know in your application.

We are seeking an Associate Director of Media Data Science to lead advanced media analytics across HCP and DTC campaigns. This individual will be an innovator and cross-functional collaborator who pushes the boundaries of healthcare media measurement, connects complex datasets, and translates insights into compelling business narratives.

This role sits at the intersection of data science, media strategy, and client impact — responsible for connecting omnichannel media investment to measurable outcomes and growth.

Lead advanced measurement strategy across HCP and DTC campaigns, including MMM, multi-touch attribution, incrementality testing, brand affinity, and lift studies.
Build, run, and refine hands-on data science models to evaluate media effectiveness, including linear regression, marketing mix models, attribution models, predictive models, and other statistical approaches.
Integrate and analyze healthcare datasets including IQVIA, Crossix, PurpleLab, Experian, Medicaid, and other claims or identity-based data sources to quantify media impact.
Connect exposure across linear TV, Google, SEM, display, paid social, radio, and programmatic business outcomes and promotional KPIs.
Query, manipulate, and structure large datasets within Snowflake, operating within a medallion (Bronze/Silver/Gold) data architecture.
Use SQL, Python, R, and/or other statistical tools to clean, transform, model, and analyze large-scale media and healthcare datasets.
Apply tools such as SAS, SPSS, or similar statistical platforms to support advanced modeling, analysis, and validation where appropriate.
Build structured datasets and dashboards in Tableau and Looker that support real-time insight generation and executive reporting.
Translate statistical modeling outputs into clear, actionable storylines that demonstrate how campaigns drive business performance.
Develop executive-ready PowerPoint presentations that bring data to life for clients and senior stakeholders.
Collaborate closely with Media Strategy, Data Strategy, Engineering, and Account teams to ensure measurement frameworks, model outputs, and reporting solutions are aligned with business objectives.
Mentor analysts and foster a culture of innovation, rigor, technical excellence, and cross-functional partnership within the data science function.

6+ years of experience in data science, advanced analytics, media measurement, or marketing analytics, preferably within healthcare, pharma, life sciences, or another highly regulated industry.
Hands-on experience building, running, and interpreting statistical models, including linear regression, marketing mix modeling, multi-touch attribution, incrementality testing, lift studies, and/or predictive modeling.
Strong technical capability with SQL, Snowflake, Python, and/or R, including experience cleaning, transforming, analyzing, and modeling large-scale datasets.
Experience with SAS, SPSS, or similar statistical tools preferred.
Experience leveraging healthcare data platforms and datasets such as IQVIA, Crossix, PurpleLab, Experian, Medicaid, claims data, identity-based data, or similar sources.
Strong Tableau and/or Looker skills, with the ability to develop reporting solutions that support both detailed analysis and executive-level decision-making.
Strong communication and storytelling skills, including the ability to translate complex modeling outputs into clear, actionable business narratives for clients and senior stakeholders.
Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Analytics, or a related field required; Master’s degree preferred.