Scientist, Biomarker Analysis

• →PhD (or equivalent) in Bioinformatics, Computational Biology, Statistics, Applied Mathematics, Computer Science, Data Science, or a closely related quantitative discipline from a well-regarded institution
• →Demonstrated experience analyzing complex, large-scale biological and clinical datasets, including multi-modal and longitudinal data
• →Strong grounding in statistical modeling and methods (e.g., regression, mixed-effects models, multivariate methods, correlative and causal analysis, prognostic and predictive biomarker analysis farmeworks) and experience applying these methods in a translational or clinical context.Working knowledge of machine learning and AI methodologies, with practical experience applying them to biological or clinical data; experience in clinical trial settings is strongly preferred.
• →Familiarity with clinical biomarker platforms and data types, such as NGS, flow cytometry, IHC, immunoassays, imaging, and transcriptional profiling.
• →Proficiency in R and Python and version control (e.g. gitlab), with evidence of writing clear, reproducible, and maintainable analytical code; familiarity with modern data science ecosystems (e.g., tidyverse in R and equivalent libraries in python) and best practices in reproducible research.

• Proven ability to connect molecular-level findings to clinical hypotheses and development decisions.
• Experience supporting drug development programs in a biotech or pharmaceutical setting (typically 3+ years).
• Working knowledge of assay development, validation, and qualification considerations for clinical trial support.
• Evidence of independent scientific contribution through peer-reviewed publications in reputable journals.

• Excellent written and spoken English communication skills, with the ability to explain complex analyses clearly to non-computational stakeholders.
• Demonstrated experience working effectively with global teams and stakeholders across geographies and time zones.
• Willingness and ability to operate flexibly across time zones to support global programs.
• Strong interpersonal skills characterized by intellectual humility, adaptability, curiosity, and a proactive approach to collaboration.
• Ability to think critically and creatively, ask clarifying questions, challenge assumptions constructively, and pivot analytical approaches as program needs evolve.

• Clear evidence of end-to-end ownership of translational or biomarker analyses in clinical programs.
• Strong applied statistical background.
• Demonstrated impact on development decisions rather than purely methodological contributions.
• A track record of thriving in complex, ambiguous environments and driving alignment across scientific and technical teams.
• Experience working in or with large, global pharmaceutical organizations.

This position offers the opportunity to contribute meaningfully to Amgen’s global development portfolio while helping to establish and grow a high-impact Precision Medicine capability at Amgen India.