~~~Please note: This is a temporary contractor opportunity at Novartis ~~~
Novartis touches the lives of a tenth of the world’s population. Every role here, regardless of contract type, makes an impact on human life!
Novartis US partners with external managed service provider Magnit Global to offer engaging temporary contractor opportunities like this, to those who are looking for flexibility in their career while looking to gain new skills and experiences providing services to an inclusive global medicines company. Click here to learn more about Magnit www.magnitglobal.com
Ready to work with/through Magnit at Novartis? Please read on...
2026 IDS Summer Associate – Reimbursement Insights & Analytics
The Summer Associate role will be responsible for delivering data-driven and machine learning insights to improve the patient and healthcare provider experience for programs supporting starting & staying on therapy at Novartis Patient Support (NPS).
This individual will use data science, behavioral science and design thinking to discover insights and identify opportunities to improve patient and healthcare provider experience. He/she will be proficient in data mining (text, structured & unstructured) through the use of statistical modeling (logistic and multivariate regression, survival analysis, NLP, ANCOVA, test/control design), machine learning techniques (supervised/unsupervised), data storytelling and data visualization. This individual will partner closely with Director and Assoc. Director, NPS Analytics 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 Analytics & Effectiveness colleagues to develop understanding & measurement of NPS offered programs such as Copay, Free Goods, Hub & Additional Support and brand customer support operations. They will be responsible for exploratory data analysis, assist process improvement and building data driven models to optimize performance and patient & HCP experience.
Major Activities
Understand business priorities/challenges and translates into data performance metrics and advanced predictive analytics / machine learning for franchise product support
Conduct exploratory data analysis. Assists in designing experiments and tests hypotheses. Applies advanced statistical and predictive modeling techniques to build, maintain and improve real-time decision-making
Refine the approach to connecting NPS KPIs to develop implications for the overall business, deriving marginal ROI and helping leadership invest strategically
Leverage design thinking and behavioral science to identify patient/HCP barriers and assist the team to design “nudges” to overcome these barriers
Understand the different therapeutic businesses & provide data driven recommendations to improve design of patient support programs by simulating impact of different variables
Improves understating of voice of the customer (VOC) using text mining techniques to gauge customer sentiment & provide actionable training opportunities to the NPS customer facing teams
Manage communications in partnership with the Director/Assoc. Director Analytics & Effectiveness colleagues to key stakeholders inside the organization
Minimum Requirements
EDUCATION
Candidate should be in an accredited degree-granting college or university pursuing a graduate degree (graduating in 2027 for Masters or 2027-2028 for PhD). Major in quantitative subject (e.g., Data Science, Statistics, Economics, Behavioral Science, Social/Life Sciences) strongly preferred
LANGUAGES - Fluent in English (oral and written)
Expertise and significant experience with statistical and data manipulation software (e.g., R, Python, SAS, Alteryx/Dataiku, SQL) and data visualization tools (e.g., Tableau, Spotfire).
Expertise with machine learning techniques (supervised and unsupervised). Experience with end-to-end machine learning methodology i.e. hypothesis creation, feature selection, feature engineering, model selection, training, validation, deployment and monitoring.
Excel in problem solving and strategic thinking. 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.
Preferred Competencies
Experience with AutoML.
Experience with Text Analytics.
Background in marketing analytics or a decision/behavioral science.
Experience applying design thinking principles.
Willingness to work in a fast-paced and action-oriented environment.
Business Impact
Improve patient experience in our support programs measured by improvement in key metrics around starting & staying on therapy
Improve customer satisfaction by determining patient & provider sentiment & needs and identify opportunities to uptrain customer facing teams.
Location is Hybrid, main site is East Hanover
Location: East Hanover, NJ (Hybrid)
Pay Rate: (W2 Only - based on Education and Experience)
Masters $35.00/hour
PharmD/PhD/MD/JD $40.00/hour
MBA $43.00/hour
Contract: 2-month
Health, dental, vision, 401k
Why Novartis:
Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together?
EEO Statement:
The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.
Accommodation:
If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to Magnit at [email protected].
