Work Schedule
Second Shift (Afternoons)Environmental Conditions
OfficeThe Programmer Analyst II 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.
Perform programming tasks as assigned by study/project team leads, including but 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 multidisciplinary project teams to analyze problems and recommend technology-based solutions and computational strategies for the specific project as assigned.
Develop customized code to utilize existing tools and applications to provide outputs or 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 presentations and teaching events, and contributing to other general department documents and policies by assisting mentors with implementing best practice documents and articles.
MS/MA degree in Computer Science, Statistics, Biostatistics, Mathematics, or a related field and abilities to perform the job or a Bachelor's degree in Computer Science, Statistics, Biostatistics, Mathematics, or a related field, or equivalent and relevant formal academic/vocational qualification.
Must have at least 4 years of hands-on, end-to-end SAS programming experience in clinical trials, including strong experience with SDTM, ADaM, and TLF programming.
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.
Work is performed in an office environment with exposure to electrical office equipment. Occasional drives to site locations with occasional travel, both domestic and international.
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.
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