Scientist,BiomarkerAnalysis

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, 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 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 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, 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, 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