Programmer Analyst II
Company: Thermo Fisher Scientific
Work Schedule: Standard (Monday–Friday)
Work Environment: Office-Based
About the Role
Thermo Fisher Scientific is seeking a Programmer Analyst II to support bioinformatics programming and statistical computing activities for clinical research projects.
In this role, you will work as part of a study team under the guidance of a lead programmer while also taking ownership of lead activities for selected studies. You will contribute to clinical trial data analysis, statistical programming, and data integration efforts across multidisciplinary research teams.
Key Responsibilities
1. Statistical & Bioinformatics Programming
Perform programming tasks assigned by study project leads.
Independently create, execute, maintain, and validate programs for:
Data transfer across multiple systems
Data integration and transformation
Summary data generation
Report generation
Database combination and validation
Generate and validate:
Listings
Tables
Figures (LTFs)
Use:
SAS
Standard programming tools and processes
2. Clinical Trial Data Analysis
Prepare and analyze clinical trial datasets, including:
Laboratory data
Vital signs data
Tumor response data
Imaging data
Quality of life questionnaire data
Adverse events data
Collaborate with:
Researchers
Clinical teams
Multidisciplinary project teams
Recommend technology-based and computational solutions for research projects.
3. Development & Validation
Develop customized programming code to:
Utilize existing tools and applications
Generate outputs
Validate outputs for clinical and technical use
Ensure quality and accuracy of programming deliverables.
4. Study Leadership Support
Act as the programming lead for simple to moderately complex studies.
Support study delivery and programming responsibilities.
Gain practical understanding of the lead programmer role through mentorship and project participation.
Work under close supervision on lead programming assignments.
5. Learning & Professional Development
Expand expertise in:
Programming
Bioinformatics tools
Clinical trials
Pharmaceutical industry practices
Participate in:
Training sessions
Presentations
Teaching events
Contribute to:
Informal training materials
Best practice documents
Departmental SOPs and policies
Educational Qualifications
Required Education
Option 1
Master’s degree (MS/MA) in:
Computer Science
Statistics
Biostatistics
Mathematics
Related field
Option 2
Bachelor’s degree in:
Computer Science
Statistics
Biostatistics
Mathematics
Related field
Equivalent academic or vocational qualification may also be considered.
Experience Requirements
Minimum 2 years of relevant experience in:
Statistical programming
Bioinformatics
Clinical research programming
Data systems management
Required Skills & Competencies
Technical Skills
Solid understanding of one or more programming languages.
Experience with:
SAS programming
Relational database structures
Complex data systems
Ability to work with clinical trial datasets and analytical outputs.
Analytical & Organizational Skills
Strong attention to detail.
Good problem-solving capabilities.
Ability to organize and manage multiple assignments under tight timelines.
Adaptability to changing priorities and project requirements.
Communication & Collaboration
Good written and verbal communication skills.
Proficiency in English.
Positive attitude and strong teamwork abilities.
Demonstrated initiative and motivation.
Working Conditions
Office-based work environment.
Exposure to standard office equipment.
Occasional travel:
Domestic
International
Occasional visits to site locations.
Why Join Thermo Fisher Scientific?
At Thermo Fisher Scientific, you’ll become part of a global organization dedicated to:
Scientific innovation
Research excellence
Collaboration
Professional development
Meaningful healthcare impact
You’ll work in a dynamic environment where learning and teamwork are encouraged, and where your contributions directly support scientific breakthroughs and improved patient outcomes worldwide.
About Thermo Fisher Scientific
Thermo Fisher Scientific is a global leader in scientific research, healthcare, and laboratory solutions, helping customers accelerate innovation and improve health outcomes around the world.
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