This role is pivotal in delivering high-quality translational analytics to accelerate drug development through rigorous science, data, and responsible AI
Job Summary
This role is pivotal in delivering high-quality translational analytics to accelerate drug development through rigorous science, data, and responsible AI.
The successful candidate will design and execute rigorous biomarker and translational analyses using complex, high-dimensional clinical datasets integrating multi-omics, imaging, and clinical metadata.
Candidates must demonstrate the ability to connect molecular-level findings to clinical hypotheses and drive development decisions within a global, matrixed environment.
Matching Summary
This role is pivotal in delivering high-quality translational analytics to accelerate drug development through rigorous science, data, and responsible AI.
Skills & Requirements
Must-have
Doctorate degree with 7+ years experience
Master's or Bachelor's with 8+ years experience
Proficiency in R and Python programming
Experience with multi-omics data analysis
Statistical modeling and machine learning expertise
Nice-to-have
Strong biological intuition and clinical context
Excellent communication with global stakeholders
Experience with AI integration in drug development
Proven track record of peer-reviewed publications
Ability to work flexibly across time zones
Key Requirements
PhD in Bioinformatics, Computational Biology, Statistics, or related field
7+ years relevant scientific experience (or 8+ with Master's/Bachelor's)
3+ years supporting drug development programs in biotech/pharma
Working knowledge of assay development and validation for clinical trials