Job Description

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Join Us as a Programmer Analyst - Make an Impact at the Forefront of Innovation
The Programmer Analyst performs bioinformatics programming activities for the statistical and computational considerations of research projects. Additionally, the Programmer Analyst serves on a study team under the direction of a lead programmer.

What You'll Do:
• Perform programming tasks as assigned by study project team leads that includes but is not limited to independently creating, executing, maintaining, and validating programs that transfer data across multiple data management systems or operating systems, combining data from a variety of sources and structures, generating and storing summary data from a variety of sources, generating reports or combining multiple databases and validating programs that generate listings, tables and figures using SAS and standard tools and processes.
• Prepare and analyze clinical trial patient datasets, such as laboratory data, vital signs data, tumor response data, imaging data, quality of life and well-being questionnaire data, or adverse events data, for clinical research purposes. Consult with researchers and multi-disciplinary project teams to analyze problems and recommend technology-based solutions and computational strategies for the specific project as assigned.
• Develop the customized codes to utilize existing tools and applications to provide the outputs or to validate outputs for clinical bioinformatics or technical use.
• Function as a contributing member of a multidisciplinary team, and under the oversight and review of management, may begin to assist with some lead programming activities.
• Ensure adherence to departmental working practice documents and SOPs, and contribute to informal training materials.
• Increase knowledge base and professional skills in areas including programming, technology and techniques, clinical trials, and the pharmaceutical industry by working closely with mentors, attending presentation / teaching events, and contributing to other general department documents and policies by assisting mentors with implementing best practice documents and articles.

Education & Experience Requirements:
• MS/MA degree in computer science, statistics, biostatistics, mathematics or related field, and abilities to perform the job, or Bachelor's degree in computer science, statistics, biostatistics, mathematics or related field or equivalent and relevant formal academic / vocational qualification
• Аt least 2 years of experience that provides the knowledge, skills, and abilities to perform the job requirements.

Years of experience refers to typical years of related experience needed to gain the required knowledge, skills, and abilities necessary to perform the essential functions of the job. Years of experience are not to be used as the only determining factor in establishing the job class or making employment selection decisions.

Knowledge, Skills, Abilities:
• Solid understanding of one or more programming languages
• Good attention to detail
• Satisfactory problem solving skills
• Satisfactory written and verbal communications skills
• Proficiency in the English language
• Capable of effectively organizing and managing multiple assignments with challenging timelines
• Positive attitude and capable of working well with others
• Demonstrated initiative and motivation
• Solid understanding of relational data base structure and complex data systems
• Good organizational skills and capable of adapting and adjusting to changing priorities.

Working Conditions and Environment:
• Work is performed in an office environment with exposure to electrical office equipment.
• Оccasional drives to site locations with occasional travel both domestic and international.

Why Join Us?

When you join Thermo Fisher Scientific, you become part of a global team that values passion, innovation, and a commitment to scientific excellence. You’ll work in an environment where collaboration and development are part of the everyday experience—and where your contributions truly make a difference.

Apply today to help us deliver tomorrow’s breakthroughs.