Associate Director Biomarker Data Sciences

Associate Director – Biomarker Data Scientist

This is a new position. You will join a new cutting-edge Drug Development Data Science and Biomarker team to advance the global drug development process. We are looking for candidates with strong leadership skills; strong computational, statistical, and biological capabilities; and a demonstrated track record of translating complex data into testable hypotheses and experience modeling multimodal (clinical, omics, real-world) data using the classical ML and Deep Learning algorithms.

We are looking for hands-on state-of-the-art practitioners.

• Develop and apply novel or existing computational methods for patient segmentation from multimodal clinical and omics datasets for various treatment modalities in partnership with Translational, Clinical and Statistical Scientists
• Partner with lead and protocol statisticians in writing, reviewing and executing protocols and statistical analysis plans (SAP) for biomarkers and diagnostics, highlighting the biomarker strategy for clinical drug development
• Defend biomarker analysis plans at internal reviews and provide reviews of complex biomarker-related study and analysis plans
• Take a lead role on biomarker-related analysis plans and analyses; and revise as needed as data emerges
• Coordinate biomarker analyses on datasets from BMS clinical trials and real-world data cohorts
• Plan and perform relevant and innovative statistical analyses of high-dimensional (e.g. gene expression, sequencing) data generated by cutting edge technologies
• Execute and contribute to the scientific and statistical strategy of drug development, including development of predictive biomarker(s) and precision medicine
• Collaborate with biomarker scientists in planning and executing experiments to optimize and validate biomarker assays for clinical trial usage
• Develop, implement, and apply state-of-the-art algorithms to address key business problems and drive the implementation of innovative statistical methods in support of biomarker strategy
• Formulate, implement, test, and validate predictive models and implement efficient automated processes for producing modeling results at scale
• Manage and coordinate resources to produce quality deliverables within timelines for competing priorities
• Contribute to internal and external scientific communities, bringing forth innovative approaches to biomarkers and drug development
• Develop and advise team members
• Effectively communicate the GBDS Mission and Vision in a fashion that generates pride, excitement and commitment within GBDS
• Enable a culture of inclusiveness, respect for diversity, compliance with process and allows for the questioning and challenging of others in a respectful and constructive manner
• Provide support and leadership to address health authority requests, publications, presentations, and other public releases of information

• Ph.D. in a relevant quantitative field (e.g. Computational Biology, Biostatistics, Statistics, Computer Science, etc.) with 6+ years of academic/industry experience or Master’s Degree with 8+ years of industry experience
• Strong experience in the analysis of data generated by one or more
  -omics or molecular assays
• Knowledge of molecular biology and understanding of disease pathways
• Strong experience in biomarker data analysis with data generated from clinical trials or electronic health records
• Experience in modeling methods particularly in their application to pharma R&D; experience in AI/ML; proficient in SQL, Python, and R and cloud platforms
• Experience developing statistical and machine learning models on high dimensional and high throughput data for time-to-event data and longitudinal outcomes
• Perspective in leveraging innovative approaches to expedite drug development and address complexities of emerging data
• Demonstrated ability to lead a team
• Ability to work independently and collaboratively, managing several concurrent, fast-paced projects
• Strong problem-solving and collaboration skills, with rigorous and creative thinking
• Excellent communication, data presentation, and visualization skills
• Capable of establishing strong working relationships across the…