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Programmer Analyst Ii

Thermo Fisher Scientific
2+ years
8-18 LPA
Bangalore, Remote, India, India
10 June 11, 2026
Job Description
Job Type: Full Time Hybrid Remote Education: B.Sc./ M.Sc./ M.Pharm/ B.Pharm/ Life Sciences Skills: Causality Assessment, Clinical SAS Programming, Clinical Trials, Detail-Oriented, Drug Development, Lifesciences, Negotiation Skills, Regulatory Compliance, Communication Skills, CPC Certified, Data Analysis, Document Management, Life Science, Regulatory Compliance, Waterfall Model, GCP guidelines, ICD-10 CM Codes, CPT-Codes, HCPCS Codes, ICD-10 CM, CPT, HCPCS Coding, ICH guidelines, ICSR Case Processing, Interpersonal Skill, Labelling Assessment, MedDRA Coding, Medical Billing, Medical Coding, Medical Terminology, mRS and EQ-5D-5L., Narrative Writing, Research & Development, Technical Skill, Triage of ICSRs, WHO DD Coding

Programmer Analyst II

Company: Thermo Fisher Scientific
Department: Statistical Programming / Bioinformatics / Clinical Data Sciences
Work Schedule: Monday–Friday (Standard)
Work Environment: Office-Based
Job Type: Full-Time


Experience Level

  • MSc/MS/MA in Computer Science, Statistics, Biostatistics, Mathematics, Bioinformatics, or related field
    OR

  • Bachelor's Degree in a relevant discipline

  • 2–5 years of Statistical Programming / Clinical Data Programming experience

  • Associate to Mid-Level Individual Contributor


Salary

Estimated market salary: ₹8–18 LPA CTC, with experienced SAS Programmers in global CROs potentially earning ₹18–25 LPA.


Role Summary

The Programmer Analyst II supports clinical research projects by performing statistical programming and bioinformatics-related activities. The role involves preparing and analyzing clinical trial datasets, developing SAS programs, validating outputs, and supporting study teams in delivering high-quality clinical trial data and reports.


Key Responsibilities

Statistical Programming

  • Develop, execute, maintain, and validate SAS programs.

  • Generate:

    • Tables

    • Listings

    • Figures (TLFs)

    • Summary datasets

    • Clinical reports

  • Support data integration across multiple systems.


Clinical Trial Data Analysis

  • Analyze clinical trial datasets including:

    • Laboratory Data

    • Vital Signs

    • Adverse Events

    • Tumor Response Data

    • Imaging Data

    • Quality of Life Assessments

  • Support statistical and computational analyses.


Data Management & Integration

  • Combine data from multiple sources and databases.

  • Validate data transfers and transformations.

  • Maintain data quality and consistency.

  • Support clinical data review activities.


Study Support

  • Work as a member of study programming teams.

  • Support Lead Programmers on complex studies.

  • Act as Programming Lead for simple to moderately complex projects.

  • Deliver project tasks within timelines and quality standards.


Programming Development

  • Develop custom code and scripts.

  • Utilize existing tools and applications for data processing.

  • Validate outputs and ensure accuracy.

  • Support automation and process efficiency initiatives.


Learning & Development

  • Build expertise in:

    • Clinical Trials

    • Statistical Programming

    • Bioinformatics

    • Pharmaceutical Research

  • Participate in training and mentoring programs.

  • Contribute to departmental best practices and SOP development.


Required Qualifications

Education

  • MSc/MS/MA in:

    • Statistics

    • Biostatistics

    • Mathematics

    • Bioinformatics

    • Computer Science

    • Related fields

OR

  • Bachelor's Degree with relevant experience.

Professional Experience

  • Minimum 2 years of Statistical Programming, SAS Programming, Bioinformatics, or Clinical Data Programming experience.


Key Technical Skills

  • SAS Programming

  • Clinical Data Analysis

  • Statistical Programming

  • Data Validation

  • Relational Databases (RDBMS)

  • Data Integration

  • Report Generation

  • Clinical Research Data Processing


Preferred Skills

  • CDISC Standards (SDTM, ADaM)

  • SQL

  • R Programming

  • Clinical Data Management

  • Biostatistics

  • Bioinformatics Workflows

  • Clinical Trial Reporting


Soft Skills

  • Analytical Thinking

  • Problem Solving

  • Attention to Detail

  • Communication Skills

  • Team Collaboration

  • Time Management

  • Adaptability

  • Initiative & Learning Agility


Ideal Candidate

A statistical programming or bioinformatics professional with experience in SAS programming, clinical trial datasets, and clinical research environments. The candidate should be capable of independently handling programming assignments while contributing effectively within multidisciplinary project teams.