Data Scientist - Senior Expert II (X2)

Key Skills

Algorithms, Linux Operating system, Machine learning techniques, PySpark, R Programming, Transformer, UI design, UX design

Job Description

Pioneering Medical Discoveries with Data: Join the Quest! :

Are you a data scientist driven by curiosity and a passion for innovation in healthcare? Imagine using your skills to unlock groundbreaking insights from one of the largest patient data sets in the world. At Novartis, we're not just imagining it - we're making it happen.

As part of our dynamic team, you'll have the unique opportunity to:

- Reimagine Medicine: Leverage over 2 million patient-years of data to transform the landscape of medical research.

- Drive Innovation: Utilize advanced data science and Al tools to uncover hidden insights into the biology of diseases.

- Impact Health Outcomes: Collaborate with cross-functional teams to shape the future of healthcare, making tangible differences in patient care and treatment.

This isn't just another job. It's a chance to be at the forefront of a data-driven revolution in biomedical research. If you're ready to explore uncharted territories and make your mark in the world of medicine, we're looking for you. Still curious?

Ready to make a difference? Apply now and be the change you want to see in healthcare!

Major responsibilities:

- Ensure that scientific teams across biomedical research, development and commercial are enabled and supported to achieve their goals

- Contributes to the acceleration of data science through activities such as the development of reusable pipelines for the data preparation and analyses

- Applies their expertise in machine learning, deep learning, data visualization and structured/unstructured data analytics towards the scientific goals of their team.

- Train, support and / or address technical challenges related to the data42 high performance computing environment

Diversity & Inclusion / EEO

We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.

Role Requirements

Minimum requirements:

What you'll bring to the role:

 At least 2 years of professional experience in the pharmaceutical sector

• Experience in biostatistical methods relevant in the pharmaceutical setting (e.g. survival analysis, mixed models, mediation analysis, Bayesian inference, and propensity scores)
• Strong experience with R for data analysis and statistical modelling,
• Experience in building image pre-processing pipelines (i.e. integrating data from different sources, feature extractions, embeddings i.e.based on PySpark)
• Experience in using machine learning models to predict clinical endpoints using multimodal data
• Experience with Python for data analysis (pandas, numpy etc)
• Reproducible data science (e.g git/versioning)
• Excellent communication and stakeholder management skills
• Knowledge of CDISC data standard (SDTM, ADaM)
• Experience with pooling of clinical trial data

Why Novartis?

Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture

You’ll receive:

You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook.

Commitment to Diversity and Inclusion: Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.