Senior Manager, Analytical AI Clinical Development at Bristol-Myers Squibb

Princeton, New Jersey, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Pharmaceuticals, Biotechnology, HealthcareIndustries

Requirements

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
Minimum of 3 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
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

Responsibilities

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. Translate technical insights and model results into actionable strategies for clinical operations teams
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
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

Skills

Machine Learning

ML Pipelines

Data Analysis

Clinical Trial Protocols

Real-World Evidence

Patient Recruitment

Workflow Automation

Scalability

Stakeholder Engagement

Bristol-Myers Squibb

Develops and delivers biopharmaceutical medicines

About Bristol-Myers Squibb

Bristol Myers Squibb (BMS) develops and delivers medicines aimed at treating serious diseases, focusing on areas like cancer, autoimmune diseases, and heart conditions. The company conducts extensive research and development to create new drugs, which are sold after receiving regulatory approval. BMS also produces generic drugs, offering affordable alternatives that meet the same quality standards as their branded counterparts. What sets BMS apart from competitors is its dual focus on both innovative and generic medicines, enhancing access to healthcare. The company's goal is to improve patient outcomes while maintaining a commitment to sustainability and corporate responsibility.

New York City, New YorkHeadquarters

1887Year Founded

$33,706.1MTotal Funding

IPOCompany Stage

Biotechnology, HealthcareIndustries

10,001+Employees

Benefits

Flexible Work Hours

Hybrid Work Options

Professional Development Budget

Risks

Increased competition in oncology from emerging biotech firms like ArsenalBio.

BMS's lawsuit over the 340B Drug Pricing Program may lead to regulatory challenges.

Rapid AI and digital tech evolution may pose integration challenges for BMS.

Differentiation

BMS focuses on innovative cancer treatments through collaborations like ArsenalBio for T cell therapies.

The company emphasizes digital health technologies, enhancing clinical trial management and patient engagement.

BMS offers both innovative and generic medicines, increasing affordable healthcare solutions.

Upsides

BMS's partnership with Medidata enhances clinical research processes and patient outcomes.

The collaboration with AI Proteins advances novel miniprotein-based therapeutics, expanding therapeutic modalities.

BMS's global license agreement with BioArctic expands its portfolio in neurodegenerative diseases.

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