Welcome Back

Google icon Sign in with Google
OR
I agree to abide by Pharmadaily Terms of Service and its Privacy Policy

Create Account

Google icon Sign up with Google
OR
By signing up, you agree to our Terms of Service and Privacy Policy
Instagram
youtube
Facebook

Programmer Analyst

Thermo Fisher Scientific
2+ years
preferred by company
Bangalore, India
1 May 18, 2026
Job Description
Job Type: Full Time Education: M.Pharm/B.Pharm or M.Sc. Skills: gmp knowledge, HSE Knowledge , Logistics and Transportation Management, Master Data, Operational Excellence, Sap Erp, supply chain management, Supply Planning, Warehouse Management, 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

Programmer Analyst

Location: Bangalore, Karnataka, India
Company: Thermo Fisher Scientific (PPD Clinical Research Services)
Job Type: Full-Time
Work Mode: Hybrid
Industry: Clinical Research | Clinical Programming | Bioinformatics | Biostatistics | Pharmaceutical | CRO
Department: Clinical Research Services / Programming & Analytics
Job Reference ID: R-01350476
Work Schedule: Monday to Friday

Job Overview

Thermo Fisher Scientific is hiring a Programmer Analyst for its PPD Clinical Research Services division in Bangalore, India. This hybrid opportunity is ideal for professionals with expertise in clinical programming, SAS programming, bioinformatics programming, statistical programming, clinical data analysis, and clinical trial data management.

The selected candidate will support bioinformatics and statistical programming activities for clinical research projects, including data transformation, validation programming, report generation, and analysis of clinical trial datasets. This role involves close collaboration with multidisciplinary study teams to deliver accurate, compliant, and high-quality programming outputs for clinical development programs.

This role is ideal for professionals seeking career growth in clinical programming, statistical analysis, clinical data science, bioinformatics, and pharmaceutical research analytics.

Job Responsibilities

Clinical Programming & Statistical Programming

  • Perform programming tasks assigned by study leads for clinical research projects.
  • Independently create, execute, maintain, and validate clinical programs.
  • Develop programming solutions aligned with study requirements and regulatory standards.

Data Integration & Data Transformation

  • Transfer and integrate data across multiple:
    • Clinical data management systems
    • Operating systems
    • Databases
    • External data sources

Combine structured and unstructured datasets for clinical analysis.

SAS Programming & Report Generation

Develop and validate programs for:

  • Clinical data listings
  • Tables
  • Figures
  • Summary reports
  • Statistical outputs
  • Clinical analysis datasets

Leverage SAS and standard clinical programming tools.

Clinical Trial Data Analysis

Prepare and analyze patient-level clinical trial datasets, including:

  • Laboratory data
  • Vital signs
  • Tumor response data
  • Imaging datasets
  • Adverse event data
  • Quality of Life (QoL) questionnaire data
  • Clinical safety datasets

Support data-driven clinical research analysis.

Bioinformatics & Computational Programming

  • Perform bioinformatics programming activities for assigned research studies.
  • Develop customized code to support:
    • Clinical bioinformatics outputs
    • Data validation workflows
    • Technical computational requirements
    • Research analysis activities

Cross-Functional Collaboration

Collaborate with:

  • Lead programmers
  • Biostatisticians
  • Clinical researchers
  • Data managers
  • Bioinformatics teams
  • Multidisciplinary study stakeholders

Support problem-solving and delivery of technical solutions.

Clinical Data Validation

  • Validate programming outputs for accuracy and consistency.
  • Perform quality checks on:
    • Listings
    • Reports
    • Derived datasets
    • Data transfers
    • Statistical outputs

Ensure reliable and audit-ready deliverables.

Process Compliance & Documentation

Ensure adherence to:

  • SOPs
  • Departmental working practice documents
  • Clinical programming standards
  • Internal quality procedures

Support documentation and best practice compliance.

Training & Continuous Learning

  • Contribute to informal training resources and departmental knowledge sharing.
  • Enhance expertise in:
    • Programming languages
    • Clinical trial methodologies
    • Pharmaceutical data workflows
    • Bioinformatics tools
    • Industry best practices

Educational Qualification

Candidates must have:

  • Bachelor’s Degree in:
    • Computer Science
    • Statistics
    • Biostatistics
    • Mathematics
    • Related technical discipline

OR

  • Master’s Degree (MS/MA) in relevant discipline

Equivalent academic qualifications with relevant experience may also be considered.

Experience Requirements

  • Minimum 2+ years of relevant experience
  • Freshers are not eligible

Preferred experience in:

  • Clinical programming
  • SAS programming
  • Clinical research analytics
  • Pharmaceutical data analysis
  • CRO environments
  • Bioinformatics programming

Required Skills

  • SAS Programming
  • Clinical Programming
  • Statistical Programming
  • Bioinformatics Programming
  • Clinical Data Analysis
  • Data Validation
  • Clinical Trial Data Management
  • Report Generation
  • Listings / Tables / Figures Programming
  • Database Management
  • Data Integration
  • Computational Analysis
  • Clinical Dataset Preparation
  • Problem Solving
  • Cross-Functional Collaboration