Two95 International Inc. Jobs

Senior/ Principal Statistical Programmer | Long Term Contract | Remote

Two95 International Inc.

Senior/ Principal Statistical Programmer | Long Term Contract | Remote

Reposted One Month Ago

Be an Early Applicant

In-Office or Remote

3 Locations

Senior level

In-Office or Remote

3 Locations

Senior level

Lead end-to-end statistical programming for ADaM datasets and TLFs; implement, validate, and maintain CDISC SDTM/ADaM standards; support regulatory submissions (ISS/ISE) and RTQs; develop reusable macros/functions and metadata specifications; work with RWD, biomarker data, external control arms, survival analysis, and propensity score methods.

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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.

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