Software Engineer – MLMP (QP2 Modeling & Scientific Platforms)

Job Description

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.

As a Software Engineer on the MLMP team, you will play a critical role in delivering GxP-compliant platforms that support PK/PD modeling, simulation workflows, and data science pipelines—helping scientists make faster, data-driven decisions that impact patients worldwide.

What You’ll Do

• 🚀 Enable Scientific Innovation
  Build and enhance enterprise-scale applications that support QP2 modeling workflows (PK/PD, simulation, model lifecycle management)

• ☁️ Engineer Modern Platforms
  Develop solutions using Java/Python, integrated with AWS cloud services, Databricks, and Oracle databases, to power scalable and reproducible scientific computing

• 🤝 Collaborate Across Science & Tech
  Partner with QP2 scientists, modelers, and product managers to translate complex modeling requirements into robust, user-centric platform capabilities

• 🔧 Hands-On Development
  Spend ~90% of your time coding, debugging, and improving platform performance and usability

• ⭐ Grow into Leadership
  Take on ~10% leadership scope: Mentor engineersConduct code reviewsInfluence architecture decisionsDrive engineering best practices and continuous improvement

• 🛡️ Build with Quality & Compliance
  Ensure systems meet GxP regulatory standards, with strong focus on traceability, reproducibility, and reliability of scientific models

What You Bring

Required Qualifications

• 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

Preferred Qualifications

• Experience with GxP-regulated systems or life sciences platforms

• Exposure to QP2 workflows, PK/PD modeling, or pharmacometrics

• Familiarity with Databricks or large-scale data platforms

• Understanding of model lifecycle management, reproducibility, and scientific pipelines

• Experience collaborating with Product Managers and scientific stakeholders

• Exposure to machine learning or advanced analytics workflows

Why This Role Stands Out

• 🧬 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.

Make Your Mark

If you’re passionate about using software to unlock the power of modeling, simulation, and data science in pharma, we’d love to have you on the MLMP journey.

The date shown below is the earliest possible closing date for this posting. However, we sometimes extend the job posting period as needed, so please feel free to apply anytime you see the "Apply" button available. You may also reach out to the recruiter directly via https://www.linkedin.com/in/badumtss/

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