Programmer Analyst
Company: Thermo Fisher Scientific
Work Schedule: Standard (Monday–Friday)
Work Environment: Office-Based
About the Role
Thermo Fisher Scientific is seeking a Programmer Analyst to support bioinformatics programming and statistical computing activities for clinical research projects.
In this role, you will work as part of a multidisciplinary study team under the guidance of a lead programmer. You will contribute to clinical trial data preparation, statistical programming, data integration, and reporting activities while continuing to build expertise in programming and clinical research methodologies.
Key Responsibilities
1. Statistical & Bioinformatics Programming
Perform programming tasks assigned by study project leads.
Independently create, execute, maintain, and validate programs that:
Transfer data across multiple systems
Integrate and combine databases
Generate summary datasets
Produce reports and analytical outputs
Develop 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
Support clinical research analyses and reporting activities.
Collaborate with:
Researchers
Clinical teams
Multidisciplinary project teams
Recommend computational and technology-based solutions for assigned projects.
3. Code Development & Validation
Develop customized code using existing tools and applications.
Generate and validate outputs for:
Clinical bioinformatics
Technical analysis
Ensure accuracy and quality of programming deliverables.
4. Team Collaboration & Learning
Contribute as a member of a multidisciplinary team.
Under management oversight, assist with selected lead programming activities.
Follow departmental:
SOPs
Working practice documents
Contribute to informal training materials and documentation.
5. Professional Development
Expand expertise in:
Programming
Bioinformatics tools
Clinical trials
Pharmaceutical industry practices
Learn through:
Mentorship
Training sessions
Presentations
Departmental initiatives
Assist mentors in implementing:
Best practice documents
Departmental policies
Knowledge-sharing materials
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 qualifications 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.
Knowledge of:
SAS programming
Relational database structures
Complex data systems
Ability to work with clinical trial datasets and statistical outputs.
Analytical & Organizational Skills
Good attention to detail.
Strong organizational abilities.
Satisfactory problem-solving skills.
Ability to manage multiple assignments within challenging timelines.
Adaptability to changing priorities.
Communication & Teamwork
Good written and verbal communication skills.
Proficiency in English.
Positive attitude and collaborative work style.
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 join a global organization committed to:
Scientific innovation
Research excellence
Collaboration
Continuous learning
Meaningful healthcare impact
You’ll work in a supportive environment where teamwork, professional development, and innovation are part of everyday work, helping drive breakthroughs that improve lives worldwide.
About Thermo Fisher Scientific
Thermo Fisher Scientific is a global leader in scientific research, healthcare, and laboratory solutions, helping organizations accelerate innovation and improve health outcomes around the world.
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