Bristol Myers Squibb
VP, Head of Data Sciences & Advanced Analytics
Bristol Myers Squibb, Brisbane, California, United States, 94005
VP, Head of Data Sciences & Advanced Analytics
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VP, Head of Data Sciences & Advanced Analytics
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Bristol Myers Squibb . Position Summary We are seeking a highly skilled and experienced Head of Data Science and Advanced Analytics to lead our Data Science team within the Global Biometrics and Data Sciences for Development organization. The candidate will have a strong background in applying advanced analytics and modeling to extract high-value insights and support decision making using multimodal data such as clinical, translational biomarkers, imaging, digital, and real-world data to enhance trial design, increase precision, and improve the speed and success rate of therapeutic development. The leader will oversee the development and implementation of data-driven solutions to enable rigorous quantitative decision making in the portfolio and support our business objectives. Key Responsibilities Define, mature, and implement the data science strategy for the Development organization, aligning it with company goals. Lead and mentor a high-performing data science team, fostering a culture of excellence, innovation, and continuous improvement. Drive the derivation of high-value insights from multimodal data to optimize trial design and increase the probability of success. Oversee development of advanced statistical and Data Science methodologies for evidence generation and decision-making. Leverage RWD to generate insights for decision-making, regulatory evidence, and risk monitoring. Spearhead the development and deployment of AI and machine learning capabilities to solve complex clinical trial challenges. Ensure compliance with regulatory requirements, privacy laws, and ethical standards related to data and AI. Collaborate with cross-functional teams to identify opportunities and translate insights into strategies. Oversee development of data science platforms and infrastructure. Establish frameworks and metrics to measure the impact of data science initiatives. Qualifications Advanced degree (M.Sc. or Ph.D.) in a quantitative field such as Data Science, Statistics, Computer Science, AI, or Bioinformatics. Extensive experience (10-15+ years) in analytics, data science, AI/ML research and implementation, preferably in pharma or healthcare. Proven leadership in managing high-performing data science teams and cross-functional collaboration. Deep technical expertise in data science, machine learning, RWD, statistical modeling, and cloud technologies. Strong business acumen and ability to translate insights into actionable strategies. Excellent communication skills for technical and non-technical audiences.
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Join to apply for the
VP, Head of Data Sciences & Advanced Analytics
role at
Bristol Myers Squibb . Position Summary We are seeking a highly skilled and experienced Head of Data Science and Advanced Analytics to lead our Data Science team within the Global Biometrics and Data Sciences for Development organization. The candidate will have a strong background in applying advanced analytics and modeling to extract high-value insights and support decision making using multimodal data such as clinical, translational biomarkers, imaging, digital, and real-world data to enhance trial design, increase precision, and improve the speed and success rate of therapeutic development. The leader will oversee the development and implementation of data-driven solutions to enable rigorous quantitative decision making in the portfolio and support our business objectives. Key Responsibilities Define, mature, and implement the data science strategy for the Development organization, aligning it with company goals. Lead and mentor a high-performing data science team, fostering a culture of excellence, innovation, and continuous improvement. Drive the derivation of high-value insights from multimodal data to optimize trial design and increase the probability of success. Oversee development of advanced statistical and Data Science methodologies for evidence generation and decision-making. Leverage RWD to generate insights for decision-making, regulatory evidence, and risk monitoring. Spearhead the development and deployment of AI and machine learning capabilities to solve complex clinical trial challenges. Ensure compliance with regulatory requirements, privacy laws, and ethical standards related to data and AI. Collaborate with cross-functional teams to identify opportunities and translate insights into strategies. Oversee development of data science platforms and infrastructure. Establish frameworks and metrics to measure the impact of data science initiatives. Qualifications Advanced degree (M.Sc. or Ph.D.) in a quantitative field such as Data Science, Statistics, Computer Science, AI, or Bioinformatics. Extensive experience (10-15+ years) in analytics, data science, AI/ML research and implementation, preferably in pharma or healthcare. Proven leadership in managing high-performing data science teams and cross-functional collaboration. Deep technical expertise in data science, machine learning, RWD, statistical modeling, and cloud technologies. Strong business acumen and ability to translate insights into actionable strategies. Excellent communication skills for technical and non-technical audiences.
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