Senior/ Principal Statistical Programmer | Long Term Contract | Remote

Title: Senior/ Principal Statistical Programmer(R)

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.