Senior Expert Data Science II - Data42

Job Description Summary

At data42, a division of Biomedical Research, our vision is to empower and inspire Novartis’ research and development community in harnessing inter-connected multimodal internal and external data in a securely governed platform. We strive to accelerate additional research across a continuum of research, development and medical to unlock insights leading to the discovery and development of new medicines for patients.

data42 is currently seeking a highly skilled individual to join our team as a Senior Data Science Expert. As an essential part of the team, you will collaborate with scientists in various disease and functional areas across the organization to advance research and drug development, specifically in our oncology programs.

With a focus on addressing unmet medical needs in oncology, your responsibilities will involve collaborating with other data42 scientists to design a comprehensive platform for our users and stakeholders to explore while ensuring proper governance. Additionally, you will develop tools and pipelines, particularly for analyzing clinical data.

 

Job Description

Major accountabilities:

• Your responsibilities will include: 

• Leading projects and effectively communicating with stakeholders and collaborators. 
• Actively participating in the design and development of clinical pipeline and customization of pooling trial data as needed to address important scientific questions, such as indication expansion. 
• Independently designing, using, and improving bioinformatics tools and models that are specifically designed for integrating different types of data, enabling the exploration of various biological layers.
• Acting as a connector between valuable data resources and project teams, enhancing the generation of hypotheses by sharing insights derived from or applied to late-stage pipeline data. 

Role Requirements 

• Preferably PhD in quantitative field such as computer science, data science, mathematics, statistics, or physics. Experience working on problems in the life sciences is a plus. 
• At least 2 years of professional experience in the pharmaceutical or clinical sector.
• Experience in using machine learning models to predict clinical endpoints using multimodal data.  

• Track record of applying AI / deep learning to scientific data. 
• Experience with Python and R scientific stacks, track record of building custom scientific software using best practices (version control, testing, documentation). 

• Demonstrated ability to present complex data science concepts in digestible terms to diverse scientific audiences. 

• Ability to work as part of an interdisciplinary team, including biologists, chemists, and data scientists. Strong communication skills in verbal, written, and virtual formats.

• Hands-on expertise and a proven track record in utilizing patient/clinical data to generate actionable hypotheses is desirable. 

 

Skills Desired

Big Data, Curiosity, Data Management, Data Quality, Data Science, Data Strategy, Data Visualization, Deep Learning, Machine Learning Algorithms, Python (Programming Language), R (Programming Language), Statistical Modeling