Informatics and AI engineer, Biotherapeutics

Pfizer

Hybrid

Quick summary

Work type
Hybrid
Location
Cambridge, MA
Salary
$106,000–$176,600 / yr
Posted
5 days ago
Closes
Jun 24, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $206k
This role $141k
$89k most similar roles pay here $269k

This role pays less than 90% of similar roles. Most pay $165,123–$246,150 — the shaded band above. At the midpoint, this role pays about $141k versus about $206k for comparable roles.

Based on 240 similar postings.

Employer

About Pfizer

Pfizer Inc. is one of the world''s largest biopharmaceutical companies, researching, developing, manufacturing, and marketing medicines and vaccines across multiple therapeutic areas including oncology, cardiology, and infectious diseases. Industry: Biopharmaceuticals

Pfizer currently has 33 open roles on FindRole.

Listed pay typically runs $124,400–$207,400 across 33 roles with salary data.

Most-posted roles

View all roles at Pfizer

At a glance

TL;DR · Informatics and AI engineer, Biotherapeutics

Pfizer's Data Ecosystem Team seeks a senior data and AI engineer to drive the development of an advanced data architecture for biotherapeutics research. This role involves designing innovative software solutions, integrating datasets from both internal and public sources, and deploying machine learning methods to extract meaningful insights. Day-to-day tasks include building analysis pipelines with agentic AI, collaborating with external partners, and onboarding colleagues through workshops and trainings. The ideal candidate has a PhD or equivalent experience in a relevant field, expertise in Python programming, and knowledge of data governance and ETL frameworks. Strong skills in full-stack development, cloud architectures, and CI/CD are preferred, along with hands-on experience in handling large datasets and proficiency in Linux systems and containerization technologies. This position plays a crucial role in Pfizer’s mission to innovate at the intersection of data science and life sciences, addressing complex challenges in drug discovery.

What you'll do

  • Develop a modern data platform for efficient biologic drug data analysis.
  • Create innovative data products and machine learning methods for biologics.
  • Integrate public datasets to enhance Pfizer’s proprietary data resources.
  • Build analysis pipelines using agentic AI to extract valuable insights.
  • Deploy data products through effective data integration strategies.

What we're looking for

  • PhD in Biology, Chemistry, Physics, Statistics, or related field OR Master’s degree with 2+ years of AI research application experience.
  • Strong background in data handling, integration, analysis, and drug discovery for large molecule therapeutics.
  • Experience developing data products, integrating solutions, and applying agentic AI in life sciences.
  • Proficient in Python programming, data governance, validation, and full-stack development with SQL expertise.
  • Expertise in cloud architectures, CI/CD, software engineering tooling, and front-end visualization techniques.

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