Programmer Analyst II

Work Schedule

• Standard (Mon-Fri)
• Environmental Conditions
• Office
• Job Description

Join Us as a Programmer Analyst II and Help Advance Innovation

What You’ll Do

Education and Experience

• A master’s degree in computer science, statistics, biostatistics, mathematics, or a related field; or a bachelor’s degree in a related field, or an equivalent relevant academic or vocational qualification.
• At least 4 years of hands-on programming experience in either SDTM or ADaM.
• Years of experience indicate the typical time needed to develop the knowledge and skills for the role. They are not the sole factor in determining job classification or selection.
• Knowledge, Skills, and Abilities
• Solid understanding of one or more programming languages.
• Familiarity with relational database structures and complex data systems.
• Strong attention to detail and problem-solving skills.
• Clear written and verbal communication skills, with proficiency in English.
• Ability to organize and manage multiple assignments with challenging timelines.
• Positive, collaborative approach and demonstrated initiative.
• Strong organizational skills and adaptability when priorities change.
• Working Conditions
• Work is performed in an office environment with exposure to electrical office equipment.
• Occasional travel to site locations, including domestic and international travel, may be required.
• Why Join Us?
• At Thermo Fisher Scientific, you’ll join a global team committed to innovation and scientific excellence. You’ll work in a collaborative environment that supports professional development and gives you the opportunity to contribute to meaningful work.
• Apply today and help us deliver tomorrow’s breakthroughs.

Knowledge, Skills, and Abilities

Working Conditions

Why Join Us?

Responsibilities

• Complete programming tasks assigned by study team leads. This includes creating, running, maintaining, and validating programs that transfer, combine, and summarize data from different sources and systems.
• Use SAS and established tools and processes to generate and validate clinical listings, tables, figures, reports, and other outputs.
• Prepare and analyze clinical trial data, including laboratory, vital signs, tumor response, imaging, quality-of-life, well-being questionnaire, and adverse event data.
• Work with researchers and multidisciplinary project teams to understand problems and recommend suitable technology solutions and programming strategies.
• Develop customized code using existing tools and applications to produce or validate clinical research and technical outputs.
• Contribute to multidisciplinary study teams and, with management oversight and review, begin supporting lead programming activities.
• Follow departmental work practices and standard operating procedures, and contribute to informal training materials.
• Build your programming, technology, clinical trial, and pharmaceutical industry knowledge through mentoring, learning events, and contributions to departmental documents and best-practice materials.