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Senior Manager, Principal Software Engineer

Job in Boston, Suffolk County, Massachusetts, 02298, USA
Listing for: SupportFinity™
Full Time position
Listed on 2026-03-14
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 174750 - 211758 USD Yearly USD 174750.00 211758.00 YEAR
Job Description & How to Apply Below

Senior Manager, Principal Software Engineer

Bristol Myers Squibb | Posted Feb 26 | Full-time | Negotiable | Advanced experience (5‑10 yrs)

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.

Position Summary

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 have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse product team members. You will make an impact by developing software solutions that meet the information needs of the Pharmacometrics scientists.

Will be working under the direction of the Product Owner, Clinical Pharmacology and Pharmacometrics.

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.
Qualifications & Experience – Primary Skills
  • Drive continuous improvement through automation, system upgrades, and stakeholder feedback.
  • 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)
  • Architect, develop, and maintain scalable software systems and data platforms for clinical pharmacology and pharmacometrics use cases.
  • Mentor engineers and contribute to best practices (CI/CD, Dev Ops, Agile).
  • Strong documentation and presentation skills.
  • Troubleshoot, monitor, and optimize performance of deployed systems.
  • 5‑7 years hands‑on experience in software engineering, ideally in life sciences or healthcare domains.
  • 5+ years experience developing and managing AWS environments, including Parallel Cluster, Kubernetes, Multiverse.
  • 5+ years’ experience working in a Linux environment.
  • 3+ years of hands‑on experience designing and building data pipelines is required.
  • 3+ years’ experience configuring and developing software leveraging modeling and simulation tools such as R, Python, NONMEM, Monolix, PsN, Pirana, SAS, Jupyter Hub.
  • 1‑2 years’ experience working with validated systems.
  • Good working experience building and enhancing custom shell and python scripts.
  • Proven track record architecting and delivering production‑grade software and data platforms (preferably supporting scientific research, modeling or analytics).
  • Experience with version control (SVN, Git Hub).
  • Familiarity with R package management strategies.
  • Developer with programming skills in Python (primary) and R, integrating with API endpoints in AWS or Google cloud.
  • Experience working with LLM content ingestion, prompt engineering and content generation involving complex tables and images.
  • Experience working of cloud services (AWS, Azure, GCP), HPC, Kubernetes, and parallel/distributed computing.
  • Experience implementing robust access controls, NFS, ACLs, and enterprise authentication.
  • Experience in Shell scripting.
  • Understand all…
Position Requirements
10+ Years work experience
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