Software Engineer – MLMP (QP2 Modeling & Scientific Platforms)Verified as a real position

Who we’re looking for

• Bachelor’s degree in Computer Science, Engineering, or related field
• Strong hands-on experience with Java and/or Python backend development
• Experience with AWS cloud infrastructure and distributed systems
• Familiarity with relational databases (Oracle or equivalent)
• Proven track record delivering enterprise-scale or mission-critical systems
• Experience working in Agile/Scrum environments
• Passion for building high-quality, maintainable, and scalable software

What you’ll do

• Build and enhance enterprise-scale applications that support QP2 modeling workflows (PK/PD, simulation, model lifecycle management)
• Develop solutions using Java/Python , integrated with AWS cloud services , Databricks , and Oracle databases , to power scalable and reproducible scientific computing
• Partner with QP2 scientists, modelers, and product managers to translate complex modeling requirements into robust, user-centric platform capabilities
• Spend ~90% of your time coding, debugging, and improving platform performance and usability
• Take on ~10% leadership scope: Mentor engineersConduct code reviewsInfluence architecture decisionsDrive engineering best practices and continuous improvement
• Ensure systems meet GxP regulatory standards , with strong focus on traceability, reproducibility, and reliability of scientific models

About the position

Power Next-Generation Drug Discovery with Scalable Software Are you excited about building software that directly accelerates drug discovery? Join a team where engineering meets science to enable breakthrough modeling and simulation for real-world therapies. At our company, we are driven to be the premier research-intensive biopharmaceutical organization. Within the Model Lifecycle Management Platform (MLMP) , we are transforming how scientific models—especially within QP2 (Quantitative Pharmacology & Pharmacometrics) —are developed, governed, and scaled across R&D.

Benefits

• Direct Impact on Drug Discovery Your platform will power QP2 modeling decisions used to advance clinical candidates.
• Intersection of Engineering & Science Work alongside pharmacometricians, modelers, and data scientists .
• Modern, Scalable Tech Stack AWS + Databricks + cloud-native architecture supporting cutting-edge research.
• High Growth Opportunity Build deep expertise in scientific platforms, AI/ML workflows, and regulated systems .
• Meaningful Mission Help deliver therapies that improve and save lives globally.