Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Thermo Fisher Scientific

Programmer Analyst II

Thermo Fisher Scientific

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

Posted 11/11/2026full-timeBangalore • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in SAS programming, clinical trial data analysis, and the application of clinical data standards such as SDTM and ADaM. Capable of collaborating with multidisciplinary teams to develop technology-based solutions and manage complex datasets effectively.

Highest-signal resume keywords
SAS Programming ExperienceSDTM DevelopmentADaM DevelopmentClinical Trial ProgrammingData Analysis

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
SASStatistical ProgrammingData ValidationClinical Listings DevelopmentData ManagementDatabase ManagementData AnalysisReport GenerationClinical Trial Data StandardsBioinformatics Programming
Soft Skills
Effective CommunicationOrganizational SkillsCollaborative ApproachAdaptabilityInitiative
Industry Keywords
Clinical TrialsPharmaceutical IndustryRelational DatabasesData SystemsMultidisciplinary Teams

About the role

Key responsibilities & impact
  • Perform programming activities supporting the statistical and computational needs of research projects
  • Prepare and analyze clinical trial patient datasets
  • Create, execute, maintain, and validate programs using SAS and other standard tools and processes
  • Transfer data across data management systems and operating systems
  • Combine data from differently structured sources and generate summary data
  • Generate reports and work with multiple databases
  • Develop and validate programs producing clinical listings, tables, and figures (TLFs)
  • Analyze laboratory, vital signs, tumor response, imaging, quality of life, wellbeing questionnaire, and adverse events data
  • Apply clinical data standards including SDTM and ADaM
  • Work with researchers and multidisciplinary project teams to recommend technology-based solutions and computational strategies
  • Develop customized code for clinical bioinformatics and technical outputs
  • Contribute to study teams under the guidance of a lead programmer
  • Begin assisting with lead programming activities under management oversight and review
  • Follow departmental working practice documents and standard operating procedures
  • Contribute to training materials and departmental documents
  • Build knowledge of programming technologies, clinical trials, and the pharmaceutical industry
  • Work with mentors, attend presentations and training events, and assist with implementing best practices

Requirements

What you’ll need
  • Master’s degree in Computer Science, Statistics, Biostatistics, Mathematics, or a related field; or Bachelor’s degree in one of these fields, or equivalent, with a relevant formal academic or vocational qualification
  • At least 4 years of end-to-end SAS programming experience
  • Hands-on SDTM, ADaM, and TLF development and validation experience
  • Solid understanding of SAS and clinical trial programming
  • Experience working with SDTM, ADaM, and TLFs
  • Understanding of relational databases and complex data systems
  • Effective written and verbal communication skills in English
  • Ability to organize and manage multiple assignments with challenging timelines
  • Positive, collaborative approach and demonstrated initiative
  • Good organizational skills and ability to adapt to changing priorities
  • Willingness/ability to work in an office environment
  • Ability to accommodate occasional drives to site locations and occasional domestic or international travel

Benefits

Comp & perks
  • Global team environment
  • Opportunities to develop programming skills
  • Mentorship
  • Presentations and training events
  • Informal training materials and departmental documents
  • Professional development in programming technologies, clinical trials, and the pharmaceutical industry
  • Exposure to best practices and scientific innovation