Senior Director/ Head Research Engineering

Role Summary

Senior Director/Head of Research Engineering role focused on overseeing a team that designs, develops and implements scientific data management and analytical platforms within the Informatics and Predictive Sciences department. Leads cloud-based application development, data ingestion, visualizations and analytical tools, collaborating with researchers and IT to align architecture and delivery with scientific objectives.

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, as well as 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 capabilities 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, including 21 CFR Part 11, HIPAA, GDPR, GxP, etc.

Skills

• Experience building and maintaining cloud-native applications using core AWS services such as IAM, S3, Athena, Glue, Batch, Lambda, Fargate, API Gateway, Bedrock, etc.
• Advanced proficiency with Python, SQL, R, database design, and at least one front end development 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 highly collaborative environment.
• Experience in managing budgets and vendor contracts.

Qualifications

• Bachelor's Degree with 15+ years of academic/industry experience
• Or master's degree with 12+ years of academic/industry experience
• Or PhD with 10+ years of academic/industry experience in engineering or biology
• 8+ years of leadership experience

Education

• Not specified beyond the degree requirements listed in Qualifications

Additional Requirements

• On-site/remote/hybrid expectations align with role location; strong preference for Cambridge, MA, with remote/hybrid options in other listed sites.