eResearch Technology LimitedHiring

Senior Clinical Data Programmer (Python)

  • Remote, United States
  • Senior
  • Posted 5 days ago
In one line

Senior Python role moving clinical data programming from SAS to Python, building frameworks for trial data; remote within the US.

About the role

Clinical data programming is being modernised, so existing SAS workflows become scalable Python. The person who fits is an experienced Python engineer keen to work in regulated clinical research.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Senior
Skills
Python, Pandas, NumPy, Git, SAS, CDISC SDTM
Posted
30 Oct 2026
Last checked
2 Nov 2026

What you will do

  • Design and maintain Python applications, packages and automation frameworks for clinical data processing
  • Lead the move from SAS workflows to maintainable Python, working with clinical data programmers
  • Build metadata and configuration driven pipelines for ingestion, transformation, validation and reporting
  • Validate transformations that feed trial deliverables, including CDISC SDTM datasets
  • Set Python coding standards, version control and quality practices, and help teams adopt them

What they look for

  • Three or more years of professional Python work, including object-oriented code, pandas and NumPy
  • Experience with maintainable software design, complex datasets and Git
  • Analytical skills to read existing workflows and build practical solutions
  • Strong English and the ability to work with distributed technical teams, remotely within the US

Nice to have

  • Pharmaceutical, CRO or other regulated data experience, including CDISC SDTM

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Questions about this job

Is this a remote job, and where can I work from?

Yes. The posting lists Senior Clinical Data Programmer (Python) as a remote role for candidates in the United States.

What does this job pay?

No pay range is stated in the posting.

What experience is needed?

It is a senior role. The posting asks for: three or more years of professional Python work, including object-oriented code, pandas and NumPy; experience with maintainable software design, complex datasets and Git; analytical skills to read existing workflows and build practical solutions. Skills it names include Python, Pandas, NumPy, Git.

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