Back
Tier-1 brand and metro location increase competition, but specialized computational biology reduces applicant pool.
High because multi-omic, clinical trial, and translational modeling skills are domain-specific and less transferable.
High due to explicit 8+ years, domain expertise, publications, and production-grade coding requirements.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design and implement advanced predictive and prognostic biomarker models integrating multi-omic and clinical trial data to support disease stratification and clinical outcomes.
Develop scalable, interpretable AI and machine learning frameworks including foundation models and agentic AI systems to enhance translational insights for drug development.
Collaborate cross-functionally with global teams to translate complex biological and clinical questions into validated analytical strategies influencing precision medicine and development decisions.
PhD OR Master's degree in Bioinformatics, Computational Biology, Statistics, Mathematics, Computer Science, Data Science, or related quantitative field with 8+ years relevant experience; OR Master's with 3–5 years relevant experience and 2–3 years in industry.
Hands-on experience developing statistical or ML models for complex biomedical or clinical datasets, demonstrated via peer-reviewed publications, public/internal code repositories, or documented industry impact.
Proficiency in Python and R for scientific computing and modeling; familiarity with ML/DL frameworks like PyTorch, TensorFlow, scikit-learn, or tidymodels.
Work Experience Required: 8+ years relevant experience or 3–5 years plus industry experience as specified; notice period: Not explicitly mentioned in the JD.
Demonstrated end-to-end ownership of analytical projects that shaped scientific or clinical development decisions, emphasizing translational impact.
Expertise in building methodological frameworks integrating multi-omic data with clinical insights, balancing advanced techniques with biological and drug development relevance.
Experience operating effectively in large, global biotech or pharmaceutical environments with collaborative interaction across diverse, cross-regional teams.