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Tier-1 brand, metro location, and mid-level experience increase competition despite niche translational genomics requirements.
Highly domain-specific translational genomics and clinical trial experience limit transferability across industries.
Requires PhD/MD, specific genomics tools, single-cell expertise, and clinical translational experience, making filters very strict.
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Lead and execute exploratory analyses across First in Human to Phase III clinical trials using advanced analytical methods.
Drive cross-functional biomarker collaborations to support target selection, clinical development, and registration.
Provide expertise in analyzing high-dimensional clinical data to inform disease characterization and patient stratification.
PhD, MD, or equivalent in computational biology, bioinformatics, statistical genetics, biostatistics, applied machine learning, AI, data science, or related field.
Minimum 3 years experience analyzing large-scale biological datasets in drug discovery/development or relevant academic setting.
Expertise in statistical programming in R and Bioconductor; proficiency with Unix/Bash, Python, or similar scripting languages.
Strong knowledge of human genomics, next-generation sequencing technologies, and experience with reproducible scalable pipeline workflows in HPC or Cloud environment.
Experienced in leading analytical projects within clinical trial or biomarker development environments involving multi-disciplinary teams.
Skilled in advanced biostatistics and machine learning, including longitudinal analysis, applied to genomic and transcriptomic datasets.
Capable of driving data and digital strategy through rigorous data engineering principles and application of AI-powered discoveries.