Senior Manager, PSS Program Insights and Decision Science

Key Skills

Alteryx, Analytical and Problem solving, Data science techniques, Data Visualization, Github, Java Programming, Logistic Regression, Python Programming, R Programming, SAS, Spotfire, SPSS Statistics, SQL, Tableau

Job Description

Bringing life-changing medicines to millions of people, Novartis sits at the intersection of cutting-edge medical science and innovative digital technology. As a global company, the resources and opportunities for growth and development are plentiful including global and local cross functional careers, a diverse learning suite of thousands of programs & an in-house marketplace for rotations & project work. With a strong medicines pipeline our current transformation will not just deliver growth for our business but continue to allow us to bring innovative medicines to patients quickly.

Over the next 5 years, Novartis is expected to launch up to 27 new medications and our Patient & Specialty Services team is on the forefront of transforming how the industry helps patients get access to treatment. Our ambition is high but we are proud and not satisfied. If you’d like to be part of our journey, then come join our team!

The Senior Manager, PSS Program Insights and Decision Science role will be responsible for delivering data-driven insights and analytics that drive performance and shape the future of all Novartis Pharma (Innovative Medicines and Alcon) patient onboarding and adherence programs at our Patient and Specialty Services (PSS) organization.

This individual will use decision science and behavioral science 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 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.

We are Novartis.

Join us and help reimagine medicine!

This position will be located at East Hanover, NJ site and will not have the ability to be located remotely. This position may require up to 20% travel as defined by the business (domestic and/ or international). Please note that this role would not provide relocation assistance/support.

What will you be responsible for ?

• 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 Assoc. Director PSS Decision Science and Adherence Strategy & Operations colleagues to key stakeholders inside the organization as it relates to adherence analytics

Diversity & Inclusion / EEO

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 other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.

Minimum Requirements

What You’ll Bring to the Role:

• BS/BA required. Advanced degree in quantitative subject (e.g., Data Science, Statistics, Economics, Behavioral Science, Social/Life Sciences) strongly preferred

• At least 2 years of experience in data science—working with and deriving insights from disparate, large data sets. Experience in building machine learning models to derive recommendations and insights.

• 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).

• Background in a marketing analytics or a decision/behavioral sciences function and experience with advanced quantitative methods

• Excel in problem solving and develop innovative, resourceful solutions to complex, unstructured problems

• 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 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.

• Travel as required

Why Novartis?

769 million. That’s how many lives our products touched in 2020. And while we’re proud of that fact, in this world of digital and technological transformation, we must also ask ourselves this: how can we continue to improve and extend even more people’s lives?

We believe the answers are found when curious, courageous and collaborative people like you are brought together in an inspiring environment. Where you’re given opportunities to explore the power of digital and data. Where you’re empowered to risk failure by taking smart risks, and where you’re surrounded by people who share your determination to tackle the world’s toughest medical challenges.