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Systems Analyst II

Job Overview

Location

India Remote

Job Type

Full-time

Category

Data Engineer

Date Posted

June 3, 2026

Full Job Description

đź“‹ Description

  • • Create, maintain, and test SAS code for non-standard data file creation and CDISC SDTM and ADaM datasets to support clinical trial data analysis.
  • • Serve as a programming resource for Clinical Data Operations and other departments by generating statistical and submission-ready datasets and providing SQL Server engineering support.
  • • Attend client meetings to interpret protocol-specific data collection and reporting requirements and translate them into technical specifications.
  • • Review and analyze standard Clario and non-Clario client file specifications, collaborating with Data Managers, Project Managers, and clients to finalize data transfer agreements.
  • • Develop, validate, and document SAS programs that produce CDISC-compliant SDTM and ADaM datasets, ensuring regulatory readiness.
  • • Build submission-ready cardiac safety datasets including SDTM EG, ADaM ADEG, define.xml, and Dataset Reviewers’ Guides for regulatory submissions.
  • • Participate in the full Software Development Life Cycle, including unit testing, test script development, execution, and peer code reviews.
  • • Process data extracts, execute encoding requests, run encoding programs, and archive studies in compliance with internal standards.
  • • Perform ad-hoc programming using raw data to support advanced quality control checks, data review, treatment-emergent flagging, SAP-driven specifications, and client-specific requirements.
  • • Provide programming support to Data Management activities, including data review and validation tasks.
  • • Prepare for and actively participate in internal and external audits, ensuring compliance with regulatory and company standards.
  • • Work across multiple service lines and modalities, collaborating closely with cardiologists, data managers, project managers, and subject-matter experts.
  • • Support new product initiatives and minimum viable product (MVP) solutions through cross-functional collaboration and agile development practices.
  • • Identify opportunities to improve data programming methodologies and contribute practical solutions that enhance quality, efficiency, and effectiveness.
  • • Mentor Systems Analyst I team members by providing guidance, conducting training sessions, and contributing to process development and SOP reviews.
  • • Work on a schedule aligned with U.S. Eastern Time business hours to ensure seamless collaboration with U.S.-based teams and clients.

🎯 Requirements

  • • Bachelor’s or Master’s degree in Informatics, Mathematics, Computer Science, or a related field
  • • SAS Certified Specialist: Base Programming (required); SAS Certified Professional: Advanced Programming (preferred)
  • • 3+ years of experience as a SAS Programmer in a pharmaceutical company or CRO with hands-on expertise in SAS/BASE, SAS/MACRO, and SAS/SQL
  • • 1+ year of experience in database design and data structures
  • • 2+ years of relevant industry experience with a solid understanding of the pharmaceutical drug development process
  • • Extensive experience implementing CDISC SDTM standards and Define.xml; working knowledge of EG, CO, RE, and QS domains is highly desirable

🏖️ Benefits

  • • Competitive compensation and annual performance bonus
  • • Provident Fund and comprehensive medical insurance for employee and eligible dependents
  • • Paid time off including vacation, sick leave, and public holidays
  • • Employee wellness programs and engagement activities
  • • Professional development through internal and external training and certification programs

Skills & Technologies

Remote
Degree Required

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About Clario

Clario is a global healthcare technology and services company that provides endpoint data solutions for clinical trials. It delivers imaging, cardiac safety, respiratory, eCOA, and precision motion technologies, supported by scientific and regulatory expertise, to help biopharmaceutical sponsors generate high-quality evidence and accelerate drug development.

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