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, clinical development and medical to unlock insights leading to the discovery and development of new medicines for patients.Data42 science delivery team 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 immunology programs.
With a focus on addressing open questions in immunology, your responsibilities will involve collaborating with other data42 scientists to help build a comprehensive platform for our users and stakeholders to make use of, while ensuring proper governance.
If you are passionate about making a significant impact in medical research and are eager to join a dynamic and collaborative team, we encourage you to apply. There are numerous diseases with urgent medical needs, and our goal is to address these challenges and create a lasting impact on global healthcare.
Job Description
Your responsibilities will include:
Leading projects and effectively communicating with stakeholders and collaborators.
Actively participating in pooling and analyzing multimodal clinical trial data to address important scientific questions, such as target discovery, compound prioritization, disease progression and indication expansion, in close collaboration with teams from across Novartis.
Develop and apply advanced ML and AI algorithms tailored to biomedical data, including deep learning models, to derive actionable insights from complex multimodal datasets.
Acting as a connector between data resources and project teams, enhancing the generation of hypotheses by sharing insights derived from or applied to data from different drug development pipeline phases.
Role Requirements
PhD in bioinformatics, data science, machine learning, artificial intelligence, computational biology, or a related field, with substantial postdoctoral (or equivalent) experience in academia or the pharmaceutical industry.
Solid understanding of biology.
Proficiency in R and/or Python for statistical programming, bioinformatics, ML and reproducible research (e.g., R Markdown, Jupyter Notebooks).
Experience in software engineering best practices (version control, testing, documentation).
Proven familiarity with omics data types such as genetics, bulk, single cell and spatial transcriptomics, and proteomics.
Proficient in using biostatistics methods for inference and hypothesis testing.
Track record of applying AI / deep learning to scientific data.
Demonstrated ability to work in a cross disciplinary team and present complex data science concepts in digestible terms to diverse scientific audiences.
Demonstrated strong scientific curiosity, initiative, and learning agility.
Commitment to Diversity & Inclusion:
We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.
Skills Desired
Apache Hadoop, Applied Mathematics, Big Data, Curiosity, Data Governance, Data Literacy, Data Management, Data Quality, Data Science, Data Strategy, Data Visualization, Deep Learning, Machine Learning (Ml), Machine Learning Algorithms, Master Data Management, Proteomics, Python (Programming Language), R (Programming Language), Statistical ModelingSimilar Jobs
What We Do
Novartis is an innovative medicines company. Every day, working to reimagine medicine to improve and extend people’s lives so that patients, healthcare professionals and societies are empowered in the face of serious disease. Our medicines reach more than 250 million people worldwide.
