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Senior Manager, Principal Software Engineer, Clinical Pharmacology and Pharmacometrics

Job in Princeton, Mercer County, New Jersey, 08543, USA
Listing for: Bristol Myers Squibb
Full Time position
Listed on 2026-01-14
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Senior Manager, Principal Software Engineer, Clinical Pharmacology and Pharmacometrics

Join to apply for the Senior Manager, Principal Software Engineer, Clinical Pharmacology and Pharmacometrics role at Bristol Myers Squibb
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Working with Us:
Challenging. Meaningful. Life‑changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it.

You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high‑achieving teams. Take your career farther than you thought possible.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more:

Position Summary

The Principal Software Engineer will lead the design, development, and deployment of innovative software and data platforms supporting Clinical Pharmacology & Pharmacometrics within BMS R&D. This role partners closely with computational scientists and IT teams to enable advanced analytics, modeling, simulation, and workflow optimization, leveraging cloud, HPC, AI/ML, and modern data technologies to accelerate drug development and translational science.

Key Responsibilities
  • Support deployment and operation of AI/ML models, simulation tools, and dashboards for scientific users.
  • Lead the integration of HPC, cloud, and Kubernetes-based compute environments; optimize parallelization and resource utilization.
  • Collaborate with domain scientists, IT, and other stakeholders to gather requirements and translate scientific workflows into robust technical solutions.
  • Drive continuous improvement through automation, system upgrades, and stakeholder feedback.
  • Manage platform security, validation, and compliance in coordination with IT and cybersecurity teams.
  • Architect, develop, and maintain scalable software systems and data platforms for clinical pharmacology and pharmacy metrics use cases.
  • Mentor engineers and contribute to best practices (CI/CD, Agile).
  • Troubleshoot, monitor, and optimize performance of deployed systems.
Qualifications & Experience
  • BS/MS/PhD in Computer Science, Software Engineering, or related field; higher degrees preferred.
  • 7+ years hands‑on experience in software engineering, ideally in life sciences or healthcare domains.
  • Proven track record architecting and delivering production‑grade software and data platforms (preferably supporting scientific research, modeling or analytics).
  • Experience in cross‑functional collaboration in matrixed, stakeholder‑driven environments.
Primary Skills
  • 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.
  • Demonstrated success building GenAI applications and agentic workflows, including fine‑tuning and deploying LLMs. Proven experience working with LLM‑based content ingestion, prompt engineering, and automating content generation involving complex tables, images, special characters, headers, footers, and merged columns to produce new reports from diverse source documents.
  • Experience working of cloud services (AWS, Azure, GCP), HPC, Kubernetes, and parallel/distributed computing.
  • Familiarity with software validation, compliance, and best practices in regulated environments.
  • Understand all aspects of software development lifecycle.
  • Understand various SDLC methodologies (Agile, Scrum, Waterfall etc.).
  • Familiarity with MATLAB, WebAPP.
  • Excellent problem‑solving, communication, and stakeholder engagement skills.
Additional Skills
  • Knowledge of vector databases and graph RAG would be a plus.
  • Experience with Posit Workbench/RStudio Server, NAS integration, or similar collaborative scientific platforms.
  • Knowledge of QSP, PBPK, PK/PD modeling or pharmaceutical R&D…
Position Requirements
10+ Years work experience
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