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Vertex Pharmaceuticals · 13 hours ago

Principal AI and Automation Strategy Lead, Statistical Programming (Remote)

United States

Full-time

Remote

Senior Level, Lead/Staff

$149K/yr - $224K/yr

5+ years exp

Vertex Pharmaceuticals is a global biotechnology company that invests in scientific innovation. The Principal, AI and Automation Strategy Lead will work with statistical programmers to enhance operational efficiency through AI and automation solutions, collaborating with various teams to implement improvements and optimize workflows.

BiotechnologyHealth CareMedicalPharmaceutical

Growth Opportunities

H1B Sponsor Likely

Responsibilities

Collaborate with statistical programming leadership and Data, Technology, and Engineering (DTE) teams to continuously identify areas for improvement in statistical programming, capture requirements, propose technically sound solutions to enhance efficiency and innovation, and implement, prioritize and confirm ongoing enhancements

Understanding of statistical programming workflows and processes: should possess knowledge of the daily responsibilities and tasks of statistical programmers, including data preparation, analysis, and reporting. Familiarity with industry standards (e.g., CDISC, SDTM, ADaM) and regulatory requirements to identify opportunities for process optimization and the effective integration of AI tools to enhance efficiency and productivity

Leverage a strong background in process excellence to identify inefficiencies, redesign workflows, and implement AI-driven solutions to optimize statistical programming processes

Strong knowledge of data engineering, AI/ML frameworks (e.g., PyTorch, TensorFlow, etc.) and proficient in programming languages such as Python, R, SAS, and SQL for data processing

Proficient in product and tool development with a strong grasp of UI/UX design principles to create intuitive and user-centric applications

Understanding of Machine learning Models, Neural networks, NLP (Natural Language Processing), and NLG (Natural Language Generation)

Possesses expert knowledge of Small Language Models (SLMs), Large Language Models (LLMs), and LLM agents to enable intelligent automation and optimize statistical programming workflows

Experienced in working with FAISS and other vector databases, including tokenization strategies, and Retrieval-Augmented Generation (RAG) frameworks for efficient semantic search and contextualized AI responses

Knowledgeable about creation of no-code/low-code AI agents that automate tasks within statistical programming workflows, driving technological advancement, and enhancing departmental productivity

Understanding of LLMOps and MLOps to operationalize AI and machine learning models, ensuring scalability, reliability, and seamless integration into statistical programming workflows

Understanding of working in AWS cloud environment, including services such as SageMaker, EC2, and S3 for scalable machine learning workflows

Work with DTE to design and execute comprehensive AI/ML model validation strategies, including data splitting, metric selection, cross-validation, robustness testing, fairness audits, and post-deployment monitoring

Experienced in providing training and technical support to end users for effective adoption and utilization of AI and automation solutions

Strong problem-solving and analytical abilities

Excellent communication skills for collaborating with stakeholders and bridging technical and domain teams

Experience working in fast-paced environment

Drives innovation within Statistical Programming by identifying and implementing new tools, technologies, and methodologies to enhance efficiency and effectiveness, while fostering collaboration with peers across relevant functional areas

Strong understanding of Generative AI ethics and governance frameworks: The candidate should demonstrate knowledge of ethical considerations, responsible AI practices, and governance frameworks related to the development, deployment, and use of Generative AI tools. This includes awareness of potential biases, data privacy concerns, transparency, accountability, and compliance with relevant regulatory and industry standards

Shapes the technical strategy of the Statistical Programming group by providing thought leadership, guiding the adoption of cutting-edge technologies, and encouraging a culture of creativity and continuous improvement within the team

Qualification

AI/ML frameworksStatistical programming workflowsData engineeringGenerative AI ethicsPythonRSASSQLNo-code/low-code solutionsAWS servicesAnalytical abilitiesProblem-solvingCommunication skillsCollaborationFast-paced environment

Required

Master's degree in Computer Science, Data Science, Statistics, Mathematics, Life Sciences, or a relevant scientific field

5+ years of relevant experience with at least 3 years of experience in data engineering, data architecture, automation, and artificial intelligence (AI)

Familiarity with industry standards (e.g., CDISC, SDTM, ADaM) and regulatory requirements to identify opportunities for process optimization and the effective integration of AI tools to enhance efficiency and productivity