Senior/ Principal Statistical Programmer | Long Term Contract | Remote
LocationGujarat, India
Work moderemote
Typecontract
SeniorityLead
Experience6–10 yrs
Company size1,001–5,000 people
PostedJan 23, 2026 · 8mo ago
Verified live14h ago
At a glanceSummarised by Seekless from the posting.
Must have3
6–10+ years of experience in statistical programming in clinical domain (R/SAS)
Strong statistical programming expertise in R (at least 1-3+ Years)
Hands-on SAS programming experience required
Nice to have6
Working knowledge of SQL and/or Python is an advantage
Experience with data reuse, historical trial data, Real-World Data (RWD), biomarker data, and External Control Arms
Experience in Oncology, Respiratory, or Immunology, along with RWD/RWE exposure, is a strong plus
Experience with RWE oncology datasets (EHR, claims data)
Building and validating analysis cohorts
Hands-on experience with survival analysis and propensity score methods
Skills
R
SAS
SQL
Python
CDISC
SDTM
ADaM
Title: Senior/ Principal Statistical Programmer®
Location: Remote
Duration: Long Term Contract
Salary: Open
Experience : 6-10+ Years
Notice : Immediate OR Within 15days
Requirements
We are looking for Senior / Principal Statistical Programmer(s) with strong hands-on expertise in R (mandatory) and SAS, solid CDISC (SDTM/ADaM) experience, and exposure to regulatory deliverables (TLFs, ISS/ISE, submissions)
Mandatory Skills & Experience:
•
6–10+ years of experience in statistical programming in clinical domain (R/SAS)
•
Strong statistical programming expertise in R (at least 1-3+ Years)
•
Hands-on SAS programming experience required
•
Working knowledge of SQL and/or Python is an advantage
•
Experience with data reuse, historical trial data, Real-World Data (RWD), biomarker data, and External Control Arms
Core Responsibilities:
•
End-to-end statistical programming for ADaM datasets and Tables, Listings, and Figures (TLFs)
•
Programming support for ISS, ISE, regulatory submissions, and RTQs
•
Implementation, validation, and maintenance of CDISC SDTM and ADaM standards
•
Development and reuse of macros, functions, and programming utilities
•
Authoring and application of metadata specifications and derivations
Advanced (Good to have) Experience:
•
Experience in Oncology, Respiratory, or Immunology, along with RWD/RWE exposure, is a strong plus.
•
Experience with RWE oncology datasets (EHR, claims data)
•
Building and validating analysis cohorts
Hands-on experience with survival analysis and propensity score methods
Benefits
If Interested please send your updated resume to:[email protected]and include your rate/Salary requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us.
We look forward to hearing from you at the earliest.