Associate Director Biomarker Data Scientist

Working with Us

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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 leaderships 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.

What you'll do:

• 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

Key Requirements:

• Ph.D. in a relevant quantitative field (i.e. Computational Biology, Biostatistics, Statistics, Computer Science, etc.) and 6+ years of academic/industry experience or Master's Degree in a relevant quantitative field and 8+ years of industry experience

• Strong experience in the analysis of data generated by one or more
  -omics or molecular assays is required

• Knowledge of molecular biology, 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 the application of AI/ML, and 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 the complexities of emerging data

• Demonstrated ability to lead a team

• Ability to work both independently and collaboratively, and to handle several concurrent, fast-paced projects.

• Strong problem-solving and collaboration skills, and rigorous and…