Senior AI Engineer, Real-World Data

About the role

This role will lead work at the intersection of data, AI-enabled capabilities, and scalable technology delivery. You will partner with business, technical, and operational stakeholders to build reporting, surface trends, and translate analysis into action. The position offers the opportunity to strengthen data-driven execution and help teams focus on the metrics that matter most within a Pharmaceuticals & Biotech environment.

Location: Remote - US based candidates only, no visa sponsorship available

Responsibilities

• Design, build, and deploy agent-based AI systems for clinical data extraction
• Own the technical design and delivery of agent workflows
• Integrate new AI features into existing platforms, focusing on performance and scalability
• Collaborate with clinical AI, engineering, and product teams to define success metrics and ship improvements
• Develop monitoring and evaluation methods to measure impact and guide deployment
• Provide technical leadership through documentation and decision-making in design and trade-offs

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field; advanced degree or background in a clinical or life sciences discipline preferred
• 7+ years of software engineering experience on production systems at scale
• 3+ years of experience building AI/ML applications in production, specifically with LLM-based systems and multi-step workflows
• Strong expertise in Python and modern software engineering practices, including agile delivery
• Experience operating AI systems in cloud environments, preferably AWS; familiarity with CI/CD and observability principles required
• Proven ability to work independently, delivering projects from design to rollout while collaborating across diverse teams
• Preferred experience with retrieval-based or document-centric AI systems and in healthcare or regulated environments

Benefits

• Opportunity to work at the forefront of AI and healthcare data transformation
• High autonomy in a senior individual contributor role
• Engagement in multi-disciplinary collaboration with clinical and engineering teams
• Work within a regulated environment for healthcare, offering unique technological challenges
• Contribute to impactful work that enhances clinical and research capabilities in oncology and beyond

Pay

$120,000 – $160,000 annually