Software Engineer – MLMP (QP2 Modeling & Scientific Platforms)
Core
Build and enhance enterprise-scale applications supporting QP2 modeling workflows (PK/PD, simulation, model lifecycle management) to accelerate drug discovery.
Role type
Senior Software Engineer (Scientific Platforms)
Builds
GxP-compliant platforms for PK/PD modeling, simulation workflows, and data science pipelines
Domain
Biopharmaceuticals / Quantitative Pharmacology & Pharmacometrics
Deliverable
production ML models | product features
Required skills
Java backend development, Python backend development, AWS cloud infrastructure, distributed systems, relational databases (Oracle)
Preferred skills
GxP-regulated systems experience, QP2 workflows, PK/PD modeling, Databricks, model lifecycle management, machine learning workflows
Technologies
AWS, Java, Python, Oracle, Databricks
Responsibilities
Develop scalable scientific computing solutions, partner with scientists to translate modeling requirements, mentor engineers and conduct code reviews, ensure systems meet GxP regulatory standards
Seniority
Senior, hands-on IC with leadership scope
