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.
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.
Manage AI Product Lifecycle: Oversee the lifecycle of AI products, from ideation and development to deployment and monitoring.
Conduct post-deployment analysis to measure the impact of implemented solutions and identify areas for continuous improvement.

Requirements

BA/BS in a quantitative field such as data science, computer science, mathematics, or related disciplines.
Minimum of 3 years of hands-on experience developing and deploying machine learning pipelines to solve real-world business problems.
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.)
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).
Excellent communication and presentation skills, with a proven ability to translate technical complexity into clear, actionable insights for diverse audiences.

Benefits

Health Coverage: Medical, pharmacy, dental, and vision care.
Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.
Work-life benefits include: Paid Time Off U.S. Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees) Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day. All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown. *Eligibility Disclosure: The summer hours program is for United States (U.S.) office-based employees due to the unique nature of their work. Summer hours are generally not available for field sales and manufacturing operations and may also be limited for the capability centers. Employees in remote-by-design or lab-based roles may be eligible for summer hours, depending on the nature of their work, and should discuss eligibility with their manager. Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible. Contractors, leased workers and other service providers are not eligible to participate in the program.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learning pipelinesstatistical methodssupervised learningunsupervised learningreinforcement learningPythonSQLCI/CD workflowsMLOpsworkflow orchestration

Soft Skills

communication skillspresentation skillsstakeholder engagementcollaborationproblem-solvingalignment on objectivescontinuous improvement