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Protocol Intelligence

Data-driven signals on your job's competitiveness

CV Match Score

Estimated fit based on your resume

Structured overview of role & requirements

sevenTenCHENNAIofficeDirect Career PageEst. 12–20 LPA

Posted 8h ago

Against your primary resume

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Role Fit

Experience

Industry Relevance

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Data-driven signals on your job's competitiveness

Competition Intensity

(Low)

Niche clinical CDISC/SAS expertise reduces applicant density despite metro location.

Background Fit Sensitivity

(High)

Strong clinical trial and CDISC focus makes skills less transferable across industries.

Shortlisting Strictness

(High)

Explicit 7+ years plus mandatory CDISC, SAS, and Rave/Veeva requirements tightens filters.

Structured overview of role & requirements

Lead design, development, and validation of data science programming solutions for clinical trials.

Manage day-to-day clinical data science activities and ensure delivery of quality outcomes.

Mentor junior programmers and provide technical leadership within the data science programming team.

Bachelor's degree in life sciences, computer science, or related discipline.

7+ years of experience in clinical data science programming.

Experience with Rave/Veeva, SAS, JReview, and proficiency in SAS, R, or other relevant programming languages.

In-depth knowledge of clinical trial data structures, CDISC standards (SDTM, ADaM), and regulatory requirements.

Proven ability to collaborate with biostatisticians, data managers, and clinical teams to develop data specifications and analysis plans.

Strong leadership skills with experience managing competing priorities and mentoring team members.

Focus on data accuracy, quality, and regulatory compliance within complex clinical trial environments.