Base: $189,750 to $316,250; bonus/equity: annual b...
Phd in computational biology or bioinformatics
7+ years experience in pharma/biotech oncology
Expertise in ai/ml and computational pathology
This role focuses on driving innovation in diagnostic technology platforms using cutting-edge approaches like AI/ML and multi-modal omics data to transform cancer treatment
Job Summary
This role focuses on driving innovation in diagnostic technology platforms using cutting-edge approaches like AI/ML and multi-modal omics data to transform cancer treatment.
The successful candidate will lead cross-functional teams to shape biomarker and clinical development strategies specifically for advanced therapeutic modalities such as ADCs and T cell engagers.
GSK offers a competitive annual base salary ranging from $189,750 to $316,250 along with an annual bonus, long-term incentive program, and comprehensive health benefits.
Matching Summary
This role focuses on driving innovation in diagnostic technology platforms using cutting-edge approaches like AI/ML and multi-modal omics data to transform cancer treatment.
Salary
Base: $189,750 to $316,250; Bonus/Equity: Annual bonus and share-based long term incentive program; Benefits: Health care, retirement, paid holidays, vacation, and parental leave
Skills & Requirements
Must-have
PhD in computational biology or bioinformatics
7+ years experience in Pharma/Biotech oncology
Expertise in AI/ML and computational pathology
Experience with multi-modal omics data analysis
Proficiency in R, Python, and GitHub workflows
Nice-to-have
MD degree with oncology clinical development experience
Knowledge of antibody-drug conjugate (ADC) strategies
Experience with academic partnerships and due diligence
Familiarity with regulatory requirements for clinical trials
Strong track record in matrix environment leadership
Key Requirements
PhD degree in computational biology, bioinformatics, or related field
7+ years of applied experience in oncology research or diagnostics
Advanced knowledge of statistical methods for high-dimensional datasets
Demonstrated ability to lead cross-functional teams in a matrix environment