Summer External Student Worker - Data Science

~~~Please note: This is a ~Summer External Student Worker~ 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. Ready to work with/through Magnit at Novartis? Please read on... Summer External Student Worker - Data Science - grad students The Summer External Student Worker 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. Major Activities Understand business priorities/challenges and translate into data performance metrics and advanced predictive analytics/machine learning for franchise product support. Conduct exploratory data analysis. Assist in designing experiments and tests hypotheses. Apply 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. Improve understanding 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. 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). • Experience with Mathematics and Signal Analysis. • 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 sentiment & needs and identifying opportunities to uptrain customer facing teams. Location: East Hanover, NJ (100% onsite) Pay Rate: $34 depending on education level Contract: 06/09/2025 - End date will be 8/22/2025 Health, dental, vision, 401k Why Novartis? 766 million lives were touched by Novartis medicines in 2021, and while we're proud of this, we know there is so much more we could do to help improve and extend people's lives. We believe new insights, perspectives and ground-breaking solutions can be found at the intersection of medical science and digital innovation. That a diverse, equitable and inclusive environment inspires new ways of working. We believe we can reinvent what's possible when we collaborate with courage to ambitiously tackle the world's toughest medical challenges. Because the greatest risk in life is the risk of never trying! Imagine the impact you could make here at Novartis! Commitment to Diversity & Inclusion: Novartis is committed to building an outstanding, inclusive work environment with diverse teams representative of the patients and communities we serve. To do our best work we need different viewpoints, which is why here at Magnit, we celebrate diversity and embrace inclusion. As an equal opportunity employer, Magnit is dedicated to building a team that represents a variety of backgrounds, perspectives, and skills. We strive to ensure that we maintain a positive and enriching work environment for all. 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 Commitment to Diversity and Inclusion / EEO #J-18808-Ljbffr

Created: 2025-03-08