Data Scientist, Insights Strategy & Design

Location: Basel, Switzerland
Job Type: Full-Time
Employer: Novartis International AG
In your role as Data Scientist with the Insights Strategy & Design group you will primarily be responsible for data science and advanced analytics activities, including explorative applications of machine learning, deep learning and artificial intelligence that are a component of projects directed by the Insights Strategy & Design group, and often sponsored by the Development Committee of Novartis.

You will drive the creation and execution of the data science section of project plans for one or more advanced analytics projects under the strategic guidance of the Head Insights Strategy & Design. You will further contribute to the overall project strategy.

Your role is to understand complex and critical business problems from Country/Regional/Global business functions, formulate integrated analytical approach to mine data sources, employ statistical methods, machine learning algorithms, deep learning and artificial intelligence to discover actionable insights, automate process for reducing effort and time for repeated use.

You will have the agility to be able to work across various business domains (commercial, NTO, GDD,NIBR, NBS). Able to use business presentations, smart visualization tools and contextual story-telling to translate findings back to business users with a clear impact. No direct team management

Your responsibilities will include

  • Provide solutions for a variety of business applications including but not limited to: Customer Segmentation & Targeting, Event Prediction, Propensity Modelling, Churn Modelling, Customer Lifetime Value Estimation, Forecasting, Recommender Systems, Modelling Response to Incentives, Marketing Mix Optimization, Price Optimization
  • Develop automation for repeatedly refreshing analysis and generating insights
  • Collaborate with globally dispersed internal stakeholders and cross-functional teams to solve critical business problems, drive operational efficiencies, and deliver successfully on high visibility strategic initiatives
  • Understand life science data sources including sales, contracting, promotions, social media, patient claims and Real World Evidence
  • Make right choices from a breadth of tools, data sources and analytical techniques to answer a wide range of critical business questions
  • Articulate solutions/recommendations to business users. Present analytical content concisely and effectively to non-technical audiences and influence non-analytical business leaders to drive major strategic decisions basis analytical inputs
  • Project manages critical initiatives: plan proactively, anticipate and actively manage change, set stakeholder expectations as required, identify operational risks and independently drive issues to resolution, balance multiple priorities and minimize surprise escalations
  • Ensure exemplary communication with all stakeholders including senior business leaders across Novartis
  • Act as an evangelist and catalyst for innovation in Data Science and AI
  • Independently identify research articles and reproduce/apply methodology to Novartis business problems

Minimum requirements

  • Masters in a quantitative discipline (e.g. Applied Mathematics, Computer Science, bioinformatics, epidemiology and Statistics. PhD preferred
  • Fluent English (oral and written)
  • 5+ years of relevant experience in Data Science

Apply for this job

Post your job offer now to start hiring the best digital health talent! For further information, please contact us.

Most Popular Now

Philips Foundation 2024 Annual Report: E…

Marking its tenth anniversary, Philips Foundation released its 2024 Annual Report, highlighting a year in which the Philips Foundation helped provide access to quality healthcare for 46.5 million people around...

New AI Transforms Radiology with Speed, …

A first-of-its-kind generative AI system, developed in-house at Northwestern Medicine, is revolutionizing radiology - boosting productivity, identifying life-threatening conditions in milliseconds and offering a breakthrough solution to the global radiologist...

Scientists Argue for More FDA Oversight …

An agile, transparent, and ethics-driven oversight system is needed for the U.S. Food and Drug Administration (FDA) to balance innovation with patient safety when it comes to artificial intelligence-driven medical...

Giving Doctors an AI-Powered Head Start …

Detection of melanoma and a range of other skin diseases will be faster and more accurate with a new artificial intelligence (AI) powered tool that analyses multiple imaging types simultaneously...

New Research Finds Specific Learning Str…

If data used to train artificial intelligence models for medical applications, such as hospitals across the Greater Toronto Area, differs from the real-world data, it could lead to patient harm...

AI Agents for Oncology

Clinical decision-making in oncology is challenging and requires the analysis of various data types - from medical imaging and genetic information to patient records and treatment guidelines. To effectively support...

'AI Scientist' Suggests Combin…

An 'AI scientist', working in collaboration with human scientists, has found that combinations of cheap and safe drugs - used to treat conditions such as high cholesterol and alcohol dependence...

Brains vs. Bytes: Study Compares Diagnos…

A University of Maine study compared how well artificial intelligence (AI) models and human clinicians handled complex or sensitive medical cases. The study published in the Journal of Health Organization...

Start-ups in the Spotlight at MEDICA 202…

17 - 20 November 2025, Düsseldorf, Germany. MEDICA, the leading international trade fair and platform for healthcare innovations, will once again confirm its position as the world's number one hotspot for...