Associate Director, AI/Data Science

Jobtailor; Massachusetts; On-site; USD 140,000 - 200,000; Full time

Job summary

Jobtailor is seeking a senior analytics and AI leader in Massachusetts to define and drive the analytics strategy across pharmacovigilance, regulatory submissions, quality, and clinical data insights.

Responsibilities include leading AI governance, collaborating with R&D analytics groups, and mentoring junior data scientists in GenAI, LLMs, and prompt engineering. Strong programming in Python/R and experience with regulated life sciences are required.

Qualifications

• Bachelor’s degree required; master’s degree preferred in computer science, mathematics, statistics, computational biology, or related field.
• 7+ years of experience in a biotechnology or pharmaceutical organization using data to support R&D decision-making.
• Expert programming skills with Python, R, LLMs, or other languages applied to large, complex, and disparate data sources.
• Experience developing LLM applications, prompt engineering, RAG pipelines, fine-tuning approaches, and AI solutions for regulated life sciences settings.
• Knowledge of pharmacovigilance, regulatory information management, quality systems, clinical trial data, and compliance frameworks.

Responsibilities

• Define and lead analytics and AI strategy using modern methodologies, including LLMs, GenAI applications, agentic workflows, and RAG-based solutions.
• Research, test, and implement new technologies, data sources, and AI/ML approaches for pharmacovigilance, regulatory submissions, quality, and clinical data insights.
• Establish AI governance, validation protocols, and responsible AI practices aligned with GxP and regulatory requirements.
• Collaborate with cross‑functional R&D analytics groups to advance standards, innovation, and analytics governance.
• Present findings, model evaluations, and business impact of AI-enabled solutions to technical and non‑technical stakeholders.
• Mentor and upskill junior staff in data science, GenAI, LLMs, prompt engineering, RAG architectures, and responsible AI practices.

Skills

Python

R

LLMs

Data integration

Education

Bachelor’s degree

Master’s degree preferred

Tools

RAG pipelines

AI/ML frameworks

Job description

Responsibilities

• Define and lead analytics and AI strategy using modern methodologies, including LLMs, GenAI applications, agentic workflows, and RAG-based solutions.
• Research, test, and implement new technologies, data sources, and AI/ML approaches for pharmacovigilance, regulatory submissions, quality, and clinical data insights.
• Establish AI governance, validation protocols, and responsible AI practices aligned with GxP and regulatory requirements.
• Collaborate with cross‑functional R&D analytics groups to advance standards, innovation, and analytics governance.
• Present findings, model evaluations, and business impact of AI‑enabled solutions to technical and non‑technical stakeholders.
• Mentor and upskill junior staff in data science, GenAI, LLMs, prompt engineering, RAG architectures, and responsible AI practices.

Requirements

• Bachelor’s degree required; master’s degree preferred in computer science, mathematics, statistics, computational biology, or a related field.
• 7+ years of experience in a biotechnology or pharmaceutical organization using data to support R&D decision‑making.
• Expert programming skills with Python, R, LLMs, or other languages applied to large, complex, and disparate data sources.
• Experience developing LLM applications, prompt engineering, RAG pipelines, fine‑tuning approaches, and AI solutions for regulated life sciences settings.
• Knowledge of pharmacovigilance, regulatory information management, quality systems, clinical trial data, and compliance frameworks.