Executive Director, Clinical Data Science & AI Strategy

Penfield Search Partners Ltd.; United States; Remote; USD 260,000 - 360,000; Full time

Job summary

Penfield Search Partners Ltd. is seeking an Executive Director of Clinical Data Science for a fully remote role with a leading pharmaceutical company focused on CNS and Oncology.

The ED will define and lead global data science strategy across the clinical development portfolio, embedding AI/ML approaches, advanced analytics, and precision medicine to accelerate timelines and improve decision quality. Regulatory engagement is a key component of the role.

Qualifications

• PhD in Biostatistics or related advanced degree required.
• Extensive experience in late-phase clinical trials and statistics.
• At least 10 years in clinical development with data science and biostatistics.
• Proven thought leader with AI/ML or precision medicine in trials.
• Experience presenting to regulators and influencing standards.
• Leadership experience in a Clinical Trials Data Science team.
• Neurology/Alzheimer's biomarkers research preferred.

Responsibilities

• Define and lead global Clinical Data Science strategy across the development portfolio.
• Drive innovation in trial design, disease modeling, biomarker discovery, imaging analytics and precision medicine.
• Represent data science to global regulatory authorities and defend strategies.
• Influence industry standards and disseminate advanced analytics across teams.

Skills

Statistical methods in trials

10+ years in clinical development

AI/ML in clinical trials

Regulatory engagement & presentations

Clinical Trials Data Science team lead

Neurology/Alzheimer's biomarkers

Thought leadership in data science

Education

PhD in Biostatistics or MS in Biostatistics with PhD in Bioinformatics

Job description

Penfield Search Partners Ltd. is seeking an Executive Director of Clinical Data Science for a fully remote role with a leading pharmaceutical company focused on CNS and Oncology.

The ED will define and lead global data science strategy across the clinical development portfolio, embedding AI/ML approaches, advanced analytics, and precision medicine to accelerate timelines and improve decision quality. Regulatory engagement is a key component of the role.