Data Science Innovation Postdoc

Role Summary

Data Science Innovation Postdoctoral Fellow in the Novartis Postdoctoral Fellowship Program. This 3-year applied research fellowship focuses on Data Science and AI for biomedical research to advance drug discovery, with a hybrid placement in Cambridge, MA.

Responsibilities

• Drive Discovery: Independently and collaboratively explore cutting-edge AI methodologies to uncover insights across multiple neurodegenerative conditions.
• Illuminate Mechanisms: Deepen understanding of core biological processes that define neurodegeneration.
• Bridge Models and Medicine: Translate findings between human data and in-vivo models to accelerate therapeutic development.
• Uncover Breakthroughs: Identify novel biomarkers and therapeutic targets that could shape next-generation treatments.
• Lead with Influence: Empower cross-functional teams by clearly communicating complex concepts, sharing impactful findings, and fostering innovation across disciplines.

Qualifications

• PhD in data science, computational biology or a related field
• PhD students in the last year are eligible to apply; applicants must have PhD awarded May 2023 or later (within 2 years of award)
• Experience in AI/ML and scientific programming (preference for Python)
• Familiarity with data modalities such as human genetics, gene expression, proteomics
• Familiarity with the biology of neurodegenerative diseases is a plus
• Strong publication record or other scientific achievements (awards, patents, grants)
• Excellent analytical, communication, presentation and organizational skills
• Passion for fundamental exploratory research and curiosity

Skills

• AI/ML techniques for biomedical data
• Scientific programming (Python preferred)
• Data integration across multimodal biomedical datasets
• Communication and collaboration across cross-functional teams

Education

• PhD in data science, computational biology or related field

Additional Requirements

• Start date: September/October 2025