Translational AI Engineer: Scalable AI for Science

Pfizer; Cambridge (MA); On-site; USD 140,000 - 190,000; Full time

Job summary

Pfizer in Cambridge, MA seeks a hands-on Translational AI Engineer to bridge scientific goals with scalable AI systems, moving from prototype to production with robust data, evaluation, and deployment layers. You will work across computational biology, immunology, and clinical teams to turn AI concepts into durable tools that support translational science.

The role emphasizes translating scientific needs into reliable AI systems, implementing ETL and cloud deployment patterns, and building

Responsibilities

• The technical engineering counterpart to AIDE’s applied workflow roles, embedded within the Research Unit to convert promising AI workflow concepts into durable, evaluated, and supportable systems that accelerate translational science. This position is focused less on discovering use cases and more on the gap that appears once a prototype needs to scale in a scientific setting. The role translates recurring needs from computational biology, immunology, and clinical teams into fit-for-purpose AI systems, including generative AI, agentic workflows, predictive models, foundation models, retrieval-augmented systems, and fine-tuned model architectures.

Job description

Pfizer in Cambridge, MA seeks a hands-on Translational AI Engineer to bridge scientific goals with scalable AI systems, moving from prototype to production with robust data, evaluation, and deployment layers. You will work across computational biology, immunology, and clinical teams to turn AI concepts into durable tools that support translational science.

The role emphasizes translating scientific needs into reliable AI systems, implementing ETL and cloud deployment patterns, and building