Senior Software Engineer, Clinical Pharmacology and Pharmacometrics

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Senior Software Engineer

Location:

Cambridge, MA and Lawrenceville, NJ

Senior Software Engineer responsible for Pharmacometrics product suite development within the Clinical Pharmacology and Pharmacometrics (CPP) product team. The pharmacometrics product suite supports scientists who work on various pharmacokinetic and pharmacodynamic (PK/PD) modeling methods. In this role you will collaborate with an innovative and diverse team, developing software solutions that meet the information needs of Pharmacometrics scientists. You will work under the direction of the Product Owner, Clinical Pharmacology and Pharmacometrics.

• Work as part of the development team responsible for the overall technical deliverables of the various tools, applications and platforms used within Clinical Pharmacology and Pharmacometrics.
• Handle enhancement requests within release schedules, interim workarounds, application lifecycle management and assist with new product evaluations and deployments.
• Collaborate with internal IT (LDAP, AWS, Info Security, ITQM/ITQA, Scientific Computing Services, storage teams) and external vendors (Metrum, Simulations Plus, Pumas
  
  AI/Julia Hub, AWS and other partners).
• Develop documentation, flowcharts, layouts, diagrams, charts, code comments and maintain clean code.
• Utilize available internal training opportunities.
• Collect, analyze and summarize development and service issues.

• Strong software development skills to enable statistical analysis and PK/PD modeling and simulation tools for the Pharmacometrics scientific community.
• Working knowledge of Unix/Linux desktop virtual machines, HPC grid (SGE, Slurm).
• Experience developing and managing AWS environments, including Parallel Cluster, Kubernetes, Multiverse.
• Well versed with Agile development methodologies.
• Strong documentation and presentation skills.
• Self‑motivated and a team player.

• 3‑5 years’ experience as an applications developer in private, public, government or military environments (large and small projects).
• 3 years’ experience configuring and developing software leveraging modeling and simulation tools such as R, NONMEM, Monolix, Python, PsN, Pirana, SAS, Jupyter Hub.
• 2‑3 years’ experience working in a Linux environment.
• 1‑2 years’ experience working with validated systems.
• Good working experience building and enhancing custom shell and Python scripts.
• Experience with version control (SVN, Git Hub).
• Familiarity with R package management strategies.
• Integration experience.

• Developer with programming skills in Python (primary) and R, integrating with API endpoints in AWS or Google Cloud, knowledge of markdown languages such as Quarto/Typst.
• Experience working with LLM content ingestion, prompt engineering and content generation involving complex tables and images (including special characters, headers, footers and merged columns) to create new reports from a variety of source documents would be preferred.
• Understand all aspects of the software development lifecycle.
• Understand various SDLC methodologies (Agile, Scrum, Waterfall, etc.).
• Familiarity with R / RStudio / RShiny.
• Working system administration knowledge for Linux.
• NFS v4 file systems, Access Control Lists (ACLs).