US-NJ, Associate Director Data Scientist, Adherence Program Analytics 235815BR-MZ
Associate Director Data Scientist, Adherence Program Analytics
US GEN MED
East Hanover, NJ
Novartis is recruiting for an Associate Director Data Scientist, Adherence Program Analytics role. The position will be located in East Hanover, NJ.
Novartis provides healthcare solutions that improve and extend people s lives. We use science-based innovation to address some of society s most challenging healthcare issues. We discover and develop breakthrough treatments and find new ways to deliver them to as many people as possible.
Our company is focused on industry-leading divisions with innovation power and global scale: pharmaceuticals, eye care and generic medicines.
The Associate Director Data Scientist, Adherence Program Analytics will be responsible for leading data-driven insights and analytics that drive performance and shape the future of all Novartis Pharma (Innovative Medicines and Alcon) patient adherence programs and our Patient and Specialty Services (PSS) organization.
This individual will use data science and advanced statistical techniques to discover insights and identify opportunities to optimize patient adherence programs. He/she will be proficient in the use of statistical modeling (logistic and multivariate regression, survival analysis, ANCOVA, test/control design), data mining, data visualization and algorithmic/machine learning techniques. This individual will partner closely with business stakeholders and must possess strong communication skills in order to present results of complex analyses in a clear and actionable manner. This individual will be an adherence analytics/data expert for PSS, providing problem solving leadership to enable analytic-based solutions to business questions and challenges.
This individual will work closely with Adherence Strategy and Operations colleagues and external vendors to develop a deep understanding of brand patient adherence program offerings and underlying transaction-level patient data. He/she will be responsible for monitoring engagement and performance KPIs through reporting, implementing early warning systems and bringing together large, disparate data sets. He/she will be responsible for exploratory data analysis, designing test & learn pilots and building explanatory statistical models with the goals of understanding adherence drivers and making data-driven recommendations that optimize patient experiences and outcomes (best channels/messaging/offers/cadence). He/she will build innovative predictive models to identify at risk patients, and leverage machine learning to continually adapt and optimize program offerings to improve patient outcomes and experiences.
Understands business priorities/challenges and changes in the healthcare landscape impacting adherence and translates into data performance metrics and advanced predictive analytics for adherence
Conducts exploratory data analysis. Maintains and monitors adherence program reporting. Designs experiments and tests hypotheses. Applies advanced statistical and predictive modeling techniques to build, maintain and improve on real-time decision-making
Provide input into design of adherence programs across brands by modeling impact of various options and design approaches, for example financial and behavioral segment impacts. Create and maintain knowledge library
Track effectiveness and impact of all Novartis US Gen Meds adherence programs
Manage communications in partnership with the Director Adherence / Co-pay Analytics and Adherence Strategy & Operations colleagues to key stakeholders inside the organization as it relates to adherence analytics
Regularly interact with external and internal vendors to ensure high standard of PSS data and analytics in adherence
Rapidly problem solves and resolve data and analytics issues for adherence as needed, working closely with the adherence Strategy and Operations program leads, data stewards, IT, PSS Analytics franchise leads, brand teams and external partners.
The Novartis Group of Companies are Equal Opportunity Employers and take pride in maintaining a diverse environment. We do not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.
BS/BA required. Advanced degree in quantitative subject (e.g., Data Science, Statistics, Economics, Social/Life Sciences) strongly preferred.
At least 5 years of experience in data analytics working with and deriving insights from disparate, large data sets. Applying big data analytical approaches to derive recommendations and insights
Experience working in the pharmaceutical industry strongly preferred.
Expertise and significant experience with statistical and data manipulation software (e.g., R, Python, SAS, Alteryx, SQL) and data visualization tools (e.g., Tableau, Spotfire).
Expertise with a variety of statistical/data science techniques (e.g. linear/logistic regression, cluster analysis/random forests, significance testing, ANCOVA). Experience with machine learning a plus.
Background in a marketing analytics or a decision sciences function and experience with advanced quantitative methods
Excel in problem solving and develop innovative, resourceful solutions to complex, unstructured problems
Excellent written and verbal communication skills, and strong interpersonal skills. Strength in translating complex, technical analyses into clear and actionable recommendations for business stakeholders.
Strong business knowledge and mindset to provide guidance on how data can be applied to answer business questions. Prior experience supporting adherence, patient support or multi-channel marketing programs a plus.
Ability to work independently with a proactive approach to meeting the business needs
Ability to synthesize and integrate multiple data sources and interpret findings. Experience with pharmaceutical sales, marketing, and medical claims data sets (IMS, Symphony, Decision Resources, Flatiron) and specialty pharmacy data (HUB/specialty pharmacy claims) a plus.
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