Bristol Myers Squibb
Senior Manager, Analytical AI - Engineering
Bristol Myers Squibb, Princeton, New Jersey, United States, 08540
Senior Manager Of Analytical Ai
Working with Us Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services, and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Description
Senior Manager of Analytical AI - Engineering team provides technical expertise to develop, deploy, and maintain data science and machine learning related pipelines, solutions, and products. Key Responsibilities and Major Duties
Member of a hands-on team of data engineers and machine learning engineers. Work cross functionally with analytics and business stakeholders to rapidly pilot and deploy a wide variety of data science and machine learning solutions. Hands-on design, deployment, and maintenance of pipelines for data science related products and machine learning solutions, ensuring reliability, scalability, and maintainability. Develop and maintain cutting-edge tools and frameworks empowering data scientists to work efficiently and effectively. Develop a close working relationship with data science teams to facilitate and implement best practices relating to machine learning engineering, data engineering, and MLOps. Build, deploy, and maintain data science related applications made in frameworks like Dash, Streamlit, and R Shiny. Apply NLP techniques in support of solving business problems. Qualifications/Degree/Certification/Licensure
BA/BS required (quantitative area of study preferred). MBA/MS or other graduate degree preferred. Minimum of 3 years of experience and relevant advanced degrees contribute to required years of experience. Proficiency in Python/R, SQL, Tableau and MS Office Suite. Hands on experience with designing and deploying machine learning models using Scikit-Learn, TensorFlow, PyTorch, etc. is preferred. Experience with Git. Experience with cloud-based environments (AWS, Azure, etc.). Experience with MLOps. Proven experience in leading large, complex projects with multi-function team members Excellent communications and presentation skills. Proven ability to explain complex analyses and outcomes to both technical and non-technical stakeholders. Aligned with Bristol Myers Squibb's mission to advance clinical development through data-driven innovation, the Senior Manager
Analytical AI in Clinical Development will play a key role in designing and deploying machine learning pipelines to optimize clinical trial operations. This individual will engage with cross-functional stakeholders to deliver impactful AI-based solutions and ensure their seamless integration into business processes, driving efficiency and enhancing decision-making across the drug development portfolio. Key Responsibilities and Major Duties 1. Develop and Deploy Machine Learning Pipelines: Apply expertise in machine learning to create, implement, and optimize end-to-end pipelines that address critical business problems in clinical study design and execution. Automate workflows to process and analyze complex datasets, such as clinical trial protocols, real-world evidence, and patient recruitment data. Ensure the scalability, reliability, and robustness of deployed machine learning solutions for real-time decision support. 2. Drive Stakeholder Engagement and Collaboration: Partner with cross-functional teams, including IT, medical, development, and biostatistics groups, to co-develop AI-driven solutions aligned with business priorities. Act as liaison between technical teams and non-technical stakeholders, ensuring alignment on objectives and fostering a collaborative environment for successful solution delivery. Translate technical insights and model results into actionable strategies for clinical operations teams. 3. Manage AI Product Lifecycle: Oversee the lifecycle of AI products, from ideation and development to deployment and monitoring. Develop and execute detailed project plans that align with clinical development timelines, ensuring timely delivery of AI solutions. Conduct post-deployment analysis to measure the impact of implemented solutions and identify areas for continuous improvement. 4. Stay Ahead of AI Trends in Clinical Development: Continuously evaluate emerging trends and advancements in data science and AI, integrating cutting-edge techniques such as natural language processing (NLP) and predictive analytics into clinical trial workflows. Qualifications Education:
BA/BS in a quantitative field such as data science, computer science, mathematics, or related disciplines. Advanced degrees:
MBA, MS, or Ph.D. in a relevant field (computer science/computational biology/bioinformatics etc.) preferred. Experience:
Minimum of 3 years of hands-on experience developing and deploying machine learning pipelines to solve real-world business problems. Technical Skills:
Strong foundation in statistical methods and their application to business problems, preferably in a clinical development setting. Experience designing and implementing supervised, unsupervised, and reinforcement learning methods with common machine learning frameworks (TensorFlow, PyTorch, scikit-learn etc.) Experience with time series forecasting and Monte Carlo simulations Proficiency in Python and SQL is required Familiarity with CI/CD workflows and Git/GitHub for version control. Familiarity with MLOps workflows, cloud-based environments (e.g., AWS, Azure) and workflow orchestration tools (e.g., Airflow, Dagster). Experience with Natural Language Processing techniques and Large Language Models is highly preferred Experience working with real-world datasets (RWD) is highly preferred Experience in bioinformatics/computational biology is a plus Experience with Streamlit/Dash/Shiny app development is a plus Soft Skills:
Excellent communication and presentation skills, with a proven ability to translate technical complexity into clear, actionable insights for diverse audiences. Preferred Expertise:
Knowledge of drug development and clinical trial operations is highly desirable. Experience managing AI product lifecycles and integrating solutions into business operations. The starting compensation for this job is a range from $152,150-$184,400 plus incentive cash and stock opportunities (based on eligibility). The starting pay rate takes into account characteristics of the job, such as required skills and where the job is performed. Final, individual compensation will be decided based on demonstrated experience. Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https://careers.bms.com/life-at-bms/. Benefit offerings are subject to the terms and conditions of the applicable plans then in effect and may include the following: Medical, pharmacy, dental and vision care. Wellbeing support such as the BMS Living Life Better program and employee assistance programs (EAP). Financial well-being resources and a 401(K). Financial protection benefits such as short- and long-term disability, life insurance, supplemental health insurance, business travel protection and survivor support. Work-life programs include paid national holidays and optional holidays, Global Shutdown Days between Christmas and New Year's holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility. Parental, caregiver, bereavement, and military leave. Family care services such as adoption and surrogacy reimbursement, fertility/infertility benefits, support for traveling mothers, and child, elder and pet care resources. Other perks like tuition reimbursement and a recognition program. If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. Uniquely
Working with Us Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services, and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Description
Senior Manager of Analytical AI - Engineering team provides technical expertise to develop, deploy, and maintain data science and machine learning related pipelines, solutions, and products. Key Responsibilities and Major Duties
Member of a hands-on team of data engineers and machine learning engineers. Work cross functionally with analytics and business stakeholders to rapidly pilot and deploy a wide variety of data science and machine learning solutions. Hands-on design, deployment, and maintenance of pipelines for data science related products and machine learning solutions, ensuring reliability, scalability, and maintainability. Develop and maintain cutting-edge tools and frameworks empowering data scientists to work efficiently and effectively. Develop a close working relationship with data science teams to facilitate and implement best practices relating to machine learning engineering, data engineering, and MLOps. Build, deploy, and maintain data science related applications made in frameworks like Dash, Streamlit, and R Shiny. Apply NLP techniques in support of solving business problems. Qualifications/Degree/Certification/Licensure
BA/BS required (quantitative area of study preferred). MBA/MS or other graduate degree preferred. Minimum of 3 years of experience and relevant advanced degrees contribute to required years of experience. Proficiency in Python/R, SQL, Tableau and MS Office Suite. Hands on experience with designing and deploying machine learning models using Scikit-Learn, TensorFlow, PyTorch, etc. is preferred. Experience with Git. Experience with cloud-based environments (AWS, Azure, etc.). Experience with MLOps. Proven experience in leading large, complex projects with multi-function team members Excellent communications and presentation skills. Proven ability to explain complex analyses and outcomes to both technical and non-technical stakeholders. Aligned with Bristol Myers Squibb's mission to advance clinical development through data-driven innovation, the Senior Manager
Analytical AI in Clinical Development will play a key role in designing and deploying machine learning pipelines to optimize clinical trial operations. This individual will engage with cross-functional stakeholders to deliver impactful AI-based solutions and ensure their seamless integration into business processes, driving efficiency and enhancing decision-making across the drug development portfolio. Key Responsibilities and Major Duties 1. Develop and Deploy Machine Learning Pipelines: Apply expertise in machine learning to create, implement, and optimize end-to-end pipelines that address critical business problems in clinical study design and execution. Automate workflows to process and analyze complex datasets, such as clinical trial protocols, real-world evidence, and patient recruitment data. Ensure the scalability, reliability, and robustness of deployed machine learning solutions for real-time decision support. 2. Drive Stakeholder Engagement and Collaboration: Partner with cross-functional teams, including IT, medical, development, and biostatistics groups, to co-develop AI-driven solutions aligned with business priorities. Act as liaison between technical teams and non-technical stakeholders, ensuring alignment on objectives and fostering a collaborative environment for successful solution delivery. Translate technical insights and model results into actionable strategies for clinical operations teams. 3. Manage AI Product Lifecycle: Oversee the lifecycle of AI products, from ideation and development to deployment and monitoring. Develop and execute detailed project plans that align with clinical development timelines, ensuring timely delivery of AI solutions. Conduct post-deployment analysis to measure the impact of implemented solutions and identify areas for continuous improvement. 4. Stay Ahead of AI Trends in Clinical Development: Continuously evaluate emerging trends and advancements in data science and AI, integrating cutting-edge techniques such as natural language processing (NLP) and predictive analytics into clinical trial workflows. Qualifications Education:
BA/BS in a quantitative field such as data science, computer science, mathematics, or related disciplines. Advanced degrees:
MBA, MS, or Ph.D. in a relevant field (computer science/computational biology/bioinformatics etc.) preferred. Experience:
Minimum of 3 years of hands-on experience developing and deploying machine learning pipelines to solve real-world business problems. Technical Skills:
Strong foundation in statistical methods and their application to business problems, preferably in a clinical development setting. Experience designing and implementing supervised, unsupervised, and reinforcement learning methods with common machine learning frameworks (TensorFlow, PyTorch, scikit-learn etc.) Experience with time series forecasting and Monte Carlo simulations Proficiency in Python and SQL is required Familiarity with CI/CD workflows and Git/GitHub for version control. Familiarity with MLOps workflows, cloud-based environments (e.g., AWS, Azure) and workflow orchestration tools (e.g., Airflow, Dagster). Experience with Natural Language Processing techniques and Large Language Models is highly preferred Experience working with real-world datasets (RWD) is highly preferred Experience in bioinformatics/computational biology is a plus Experience with Streamlit/Dash/Shiny app development is a plus Soft Skills:
Excellent communication and presentation skills, with a proven ability to translate technical complexity into clear, actionable insights for diverse audiences. Preferred Expertise:
Knowledge of drug development and clinical trial operations is highly desirable. Experience managing AI product lifecycles and integrating solutions into business operations. The starting compensation for this job is a range from $152,150-$184,400 plus incentive cash and stock opportunities (based on eligibility). The starting pay rate takes into account characteristics of the job, such as required skills and where the job is performed. Final, individual compensation will be decided based on demonstrated experience. Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https://careers.bms.com/life-at-bms/. Benefit offerings are subject to the terms and conditions of the applicable plans then in effect and may include the following: Medical, pharmacy, dental and vision care. Wellbeing support such as the BMS Living Life Better program and employee assistance programs (EAP). Financial well-being resources and a 401(K). Financial protection benefits such as short- and long-term disability, life insurance, supplemental health insurance, business travel protection and survivor support. Work-life programs include paid national holidays and optional holidays, Global Shutdown Days between Christmas and New Year's holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility. Parental, caregiver, bereavement, and military leave. Family care services such as adoption and surrogacy reimbursement, fertility/infertility benefits, support for traveling mothers, and child, elder and pet care resources. Other perks like tuition reimbursement and a recognition program. If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. Uniquely