Senior Director/ Head Research Engineering

Role Summary

Senior Director/ Head Research Engineering responsible for overseeing a team designing, developing and implementing scientific data management and analytical platforms within the Informatics and Predictive Sciences department. Leads collaborations with researchers and IT to align architecture, resourcing, and delivery with business and scientific needs, leveraging cloud-based development and advanced AI/LLM capabilities.

Responsibilities

• Collaborate with Research leadership to ensure clear communication, tracking and delivery of shared Research objectives.
• Ensure staffing objectives are met through onboarding and mentorship for Research Engineering full-time talent, and oversight of consulting resources across multiple vendors.
• Provide guidance to development teams on programming languages, evaluation frameworks, security and testing methodologies, and system scalability strategies.
• Collaboratively develop new data engineering approaches to accelerate data discovery, delivery and analysis, including the use of LLMs.
• Provide thought leadership on emerging LLM and AI models and drive experimentation in service to BMS use cases.
• Evaluate third party data engineering and LLM solutions and manage vendor contracts.
• Participate in organizational budget planning and management and provide leadership for budgeting decisions for Research Engineering.
• Collaborate with IT to perform risk assessments on cloud architectures and vendor solutions to identify cost, scalability, or infrastructure concerns.
• Provide oversight and guidance regarding regulatory requirements for custom developed, commercial and/or open-source systems (e.g., 21 CFR Part 11, HIPAA, GDPR, GxP).

Skills

• Experience building and maintaining cloud-native applications using core AWS services (IAM, S3, Athena, Glue, Batch, Lambda, Fargate, API Gateway, Bedrock, etc.).
• Advanced proficiency with Python, SQL, R, database design, and at least one frontend framework (React, Angular, Streamlit, or similar).
• Experience with large-scale scientific systems design and integration patterns.
• Ability to deliver performance evaluations, benchmarking, and troubleshooting of AI or LLM-based applications.
• Familiarity with containerization, agile methodologies, and cloud-native development patterns.
• Experience building or enhancing a laboratory informatics system (LIMS) in a research or drug development context.
• Ability to explore and pilot innovative technology solutions, including LLM technologies.
• Experience managing large development teams and projects in a collaborative environment.
• Experience in managing budgets and vendor contracts.

Qualifications

• Bachelor's Degree with 15+ years of experience, or master's degree with 12+ years, or PhD with 10+ years in engineering or biology.
• 8+ years of leadership experience.

Education

• Not specified beyond degrees in Qualifications.