Associate Director – Analytical AI Clinical Development
Princeton Pike - NJ, United States
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Full Time Mid-level / Intermediate USD 167K - 203K
Bristol Myers Squibb
Bristol Myers Squibb is a global biopharmaceutical company committed to discovering, developing and delivering innovative medicines to patients with serious diseases.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. Read more: careers.bms.com/working-with-us.
Aligned with Bristol Myers Squibb's mission to advance clinical development through data-driven innovation, the Associate Director – Analytical AI in Clinical Development will play a key role in designing and deploying machine learning pipelines to enhance our drug discovery pipelines and 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 research and development.
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, research, 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 research and 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 5 years of hands-on experience developing and deploying machine learning pipelines to solve real-world business problems.
Proven ability to deliver measurable impact through AI and advanced analytics solutions.
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 tool kits (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, Large Language Models (training/finetuning) and agentic AI frameworks 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 value statements and actionable insights for diverse audiences.
Strong leadership and interpersonal skills to drive stakeholder engagement and cross-functional collaboration.
Preferred Expertise:
Knowledge of drug discovery, development and/or 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 $167,540-$203,000 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.
#LI-Hybrid
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 Interesting Work, Life-changing Careers
With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in a supportive culture, promoting global participation in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.
On-site Protocol
BMS has an occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:
Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.
BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.
BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.
BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/
Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.
Tags: Airflow AWS Azure Bioinformatics Biology Biostatistics CI/CD Computer Science Dagster Drug discovery Excel Git GitHub LLMs Machine Learning Mathematics MLOps Monte Carlo NLP Pipelines Privacy Python PyTorch Reinforcement Learning Research Scikit-learn SQL Statistics Streamlit TensorFlow
Perks/benefits: Career development Competitive pay Equity / stock options Fertility benefits Health care Insurance Medical leave Parental leave
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