Senior Director, Data Sciences and Advanced Analytics
Bristol Myers Squibb
2 days ago
Remote friendly (Princeton, NJ)
United States
IT
Senior Director Position (Data Science and Advanced Analytics - DSAA)
Responsibilities:
- Lead a team (~5) to drive data science objectives across early to late-phase drug development in a therapeutic area.
- Execute exploratory analysis (hypotheses generating and hypotheses generated questions) for drug development and clinical study design.
- Define approaches, processes, algorithms, and tools for analytics, visualizations, and decision support.
- Integrate, mine, and visualize diverse, high-dimensional data.
- Develop and apply computational methods for patient segmentation using multimodal clinical and omics data for treatment modalities.
- Develop, validate, and implement predictive models; deploy automated modeling processes at scale.
- Generate and present novel data insights via rich, intuitive visualizations.
- Ensure deliverable quality and compliance with regulatory requirements, corporate/departmental SOPs, and work practices.
- Develop and implement innovative strategies/technologies; independently develop, troubleshoot, and maintain complex programs/utilities.
- Provide technical guidance to external partners on project/data standards and analysis practices.
- Apply software development methodologies appropriately.
- Provide SME support for continuous improvement in and beyond DSAA.
Qualifications:
- PhD in a relevant quantitative field (Biostatistics, Statistics, Bioinformatics, Computer Science, etc.).
- 10+ years of relevant experience after graduate degree.
Required/Preferred Skills:
- Mastery of data analysis for clinical trials, observational research, real-world data; modeling for clinical trials.
- Strong AI/DL/ML expertise; strong statistical methods (e.g., generalized linear/nonlinear models, survival analysis).
- Experience in oncology, neuroscience, immunology.
- Expertise with imaging, genomics, proteomics.
- Strong programming: R and Python in high-performance computing (e.g., AWS).
- Ability to lead teams; communicate complex technical information to non-technical audiences.
- Experience/knowledge of industry practices and regulatory requirements.
- Highly preferred: NLP.
Travel: Up to 20% for meetings and conferences.
Application instructions: Apply for the role (Requisition R1598756).
Responsibilities:
- Lead a team (~5) to drive data science objectives across early to late-phase drug development in a therapeutic area.
- Execute exploratory analysis (hypotheses generating and hypotheses generated questions) for drug development and clinical study design.
- Define approaches, processes, algorithms, and tools for analytics, visualizations, and decision support.
- Integrate, mine, and visualize diverse, high-dimensional data.
- Develop and apply computational methods for patient segmentation using multimodal clinical and omics data for treatment modalities.
- Develop, validate, and implement predictive models; deploy automated modeling processes at scale.
- Generate and present novel data insights via rich, intuitive visualizations.
- Ensure deliverable quality and compliance with regulatory requirements, corporate/departmental SOPs, and work practices.
- Develop and implement innovative strategies/technologies; independently develop, troubleshoot, and maintain complex programs/utilities.
- Provide technical guidance to external partners on project/data standards and analysis practices.
- Apply software development methodologies appropriately.
- Provide SME support for continuous improvement in and beyond DSAA.
Qualifications:
- PhD in a relevant quantitative field (Biostatistics, Statistics, Bioinformatics, Computer Science, etc.).
- 10+ years of relevant experience after graduate degree.
Required/Preferred Skills:
- Mastery of data analysis for clinical trials, observational research, real-world data; modeling for clinical trials.
- Strong AI/DL/ML expertise; strong statistical methods (e.g., generalized linear/nonlinear models, survival analysis).
- Experience in oncology, neuroscience, immunology.
- Expertise with imaging, genomics, proteomics.
- Strong programming: R and Python in high-performance computing (e.g., AWS).
- Ability to lead teams; communicate complex technical information to non-technical audiences.
- Experience/knowledge of industry practices and regulatory requirements.
- Highly preferred: NLP.
Travel: Up to 20% for meetings and conferences.
Application instructions: Apply for the role (Requisition R1598756).