Senior Clinical Analyst and Programmer

New
J
JobgetherBiotechnology, Pharmaceutical, CRO
IndiaFull-TimeSenior
Salary not disclosed
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Job Details

Languages
English
Experience
Minimum 10 years of clinical research experience
Required Skills
Data Analysis

Requirements

  • Bachelor’s degree in Science or a related discipline required.
  • Master’s degree in Computer Science, Information Technology, Statistics, Engineering, or a related field is an advantage.
  • Minimum 10 years of clinical research experience within the biotechnology, pharmaceutical, or CRO industry.
  • At least 5 years of hands-on SAS programming experience.
  • Strong understanding of clinical trial data, SAS datasets, database specifications, and clinical development processes.
  • Excellent knowledge of regulatory requirements and industry standards related to clinical research.
  • SAS certification and/or Advanced Programmer certification is preferred.
  • Strong analytical skills with excellent attention to detail.
  • Effective project planning, organization, and time management abilities.
  • Strong written and verbal communication skills in English.
  • Ability to work independently while collaborating effectively with global teams.
  • Ability to manage multiple competing priorities in a dynamic and high-speed environment.

Responsibilities

  • Develop and maintain clinical data listings, reports, and programming solutions to support data review activities.
  • Analyze requirements from Data Management and Risk-Based Study Management teams to create effective programming solutions.
  • Create listing specifications based on user requirements, protocols, EDC databases, and data validation specifications.
  • Develop SAS-based data review listings and safety review listings for clinical studies.
  • Create and maintain libraries of standardized manual data review listings.
  • Support the development of reports and listings used for centralized monitoring activities.
  • Document programming changes, specifications, and processes according to quality standards.
  • Assist in developing and maintaining standard operating procedures related to data standards implementation.
  • Provide mentorship and technical guidance to junior analysts and programmers.
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