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indeed

Programmer Analyst II

Thermo Fisher Scientific
Karnataka, IND
Full-time
Senior
Onsite
Discovered Today
SASSDTMClinical trial data programmingBioinformatics programmingRelational databasesClinical data analysis

Full Job Posting

Role overview

Perform bioinformatics programming activities supporting the statistical and computational needs of research projects.

Work on a study team under a lead programmer to deliver reliable clinical research data and outputs.

The standard work schedule is Monday–Friday.

What you’ll do

  • Create, run, maintain, and validate programs to transfer data between systems, combine data sources, and generate summaries and reports.
  • Produce or validate listings, tables, and figures using SAS and established tools and processes.
  • Prepare and analyze clinical trial datasets covering laboratory, vital signs, tumor response, imaging, quality of life, questionnaires, and adverse events.
  • Collaborate with researchers and multidisciplinary teams to understand needs, solve problems, and recommend technical and computational approaches.
  • Develop customized code using existing tools to produce or validate clinical bioinformatics and technical outputs.
  • Lead programming on simple to moderately complex studies and deliver lead programmer responsibilities.
  • Follow working practice documents and SOPs and contribute to informal training materials.
  • Build relevant programming, technology, clinical trial, and pharmaceutical knowledge through mentoring and learning activities.

Education and experience

  • Master’s degree in computer science, statistics, biostatistics, mathematics, or a related field; or a bachelor’s or equivalent degree with relevant formal academic or vocational qualifications.
  • At least 4 years of end-to-end SDTM experience, including programming and delivery of SDTM datasets.
  • Relevant experience demonstrating the knowledge, skills, and abilities required for the role.

Knowledge and skills

  • Solid understanding of one or more programming languages, relational database structures, and complex data systems.
  • Good attention to detail and problem-solving skills.
  • Clear written and verbal communication skills, with proficiency in English.
  • Ability to organize multiple assignments with challenging timelines and adapt to changing priorities.
  • Ability to work well with others, show initiative, and stay motivated.

Working conditions

  • Work is performed in an office environment with exposure to electrical office equipment.
  • Occasional driving to site locations and occasional domestic or international travel may be required.

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