Associate Director, AI and Machine Learning

About the role

Lead the strategy, design, and implementation of AI and machine learning solutions to support R&D digital transformation and operational efficiency.
Drive the adoption of AI across R&D by identifying high-impact use cases, building business cases, and partnering with scientific, statistical, clinical, and technology stakeholders.
Develop and deploy AI/ML models, tools, and platforms that improve the efficiency of digitalization systems, including clinical trial design, clinical data workflows, statistical analysis processes, document generation, knowledge management, and decision-support systems.
Evaluate emerging AI technologies, including generative AI, large language models, intelligent agents, automation frameworks, and advanced machine learning approaches, and assess their applicability in regulated pharmaceutical R&D environments.

Responsibilities

• Lead the strategy, design, and implementation of AI and machine learning solutions to support R&D digital transformation and operational efficiency.
• Drive the adoption of AI across R&D by identifying high-impact use cases, building business cases, and partnering with scientific, statistical, clinical, and technology stakeholders.
• Develop and deploy AI/ML models, tools, and platforms that improve the efficiency of digitalization systems, including clinical trial design, clinical data workflows, statistical analysis processes, document generation, knowledge management, and decision-support systems.
• Evaluate emerging AI technologies, including generative AI, large language models, intelligent agents, automation frameworks, and advanced machine learning approaches, and assess their applicability in regulated pharmaceutical R&D environments.

Requirements

• Significant experience applying AI, machine learning advanced analytics, or data science in pharmaceutical, biotechnology, healthcare, clinical development, or another regulated environment.
• Demonstrated ability to lead cross-functional initiatives and influence stakeholders across scientific, technical, operational, and leadership teams.
• Knowledge of regulatory expectations, data privacy, model validation, responsible AI, and governance considerations in pharmaceutical R&D.
• Strong problem-solving skills with the ability to translate complex business challenges into practical, scalable AI solutions.
• Excellent communication, presentation, and stakeholder management skills.

Qualifications

• Advanced degrees in statistics, biostatistics, computer science, data science, machine learning, bioinformatics, engineering, mathematics, or related quantitative field.
• PhD or master’s degree preferred.

Skills

• Strong hands-on experience with modern data science, AI, machine learning models, tools and platforms.
• Proficiency in programming languages commonly used for data science and AI, such as Python and R.
• Experience with machine learning and deep learning frameworks such as scikit-learn, PyTorch, TensorFlow, or equivalent tools.
• Working knowledge of generative AI, large language models, prompt engineering, retrieval-augmented generation, AI agents, and related application-development frameworks.
• Experience with AI-native programming practices, including the use of AI coding assistants, agentic development tools, prompt-based code generation, automated code review, test generation, documentation generation, and AI-assisted debugging.
• Experience with data manipulation, statistical analysis, visualization, and reporting tools such as SQL, pandas, NumPy, SAS, R Shiny, Power BI, or equivalent platforms.
• Familiarity with cloud-based data and AI platforms, such as AWS, Azure, Databricks.
• Understanding of MLOps, including model development, version control, validation, deployment, monitoring, and lifecycle management.
• Familiarity with data privacy, cybersecurity, access control, audit trail, and documentation requirements in regulated pharmaceutical or healthcare environments.

Benefits

• Salary Range: $158,400.00 - $208,400.00 annually
• BeOne is committed to fair and equitable compensation practices. Actual compensation packages are determined by several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, certifications, relevant education or training, and specific work location.
• Packages may vary by location due to differences in the cost of labor.
• The recruiter can share more about the specific salary range for a preferred location during the hiring process.
• All employment is decided on the basis of qualifications, merit, and business need.
• In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans’ Readjustment Assistance Act of 1974, Title I of the Americans with Disabilities Act of 1990, and any other applicable federal, state or local laws, applicants who require reasonable accommodation in the job application process may contact accommodationsus@beonemed.com.

Pay

Salary Range: $158,400.00 - $208,400.00 annually

Schedule

N/A