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2024 Summer Intern, Pharma, Patient & Specialty Services (NPS) Analytics

Novartis
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The Summer Intern, NPS Analytics 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 our Novartis Patient Support (NPS) organization. 

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 colleagues to develop understanding & measurement of NPS offered programs such as Copay, Free Goods, Hub & Additional Support. 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 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). 
  • 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.
  • Self-starter! Ability to be given direction and run with it.

 

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 identify opportunities to uptrain customer facing teams.