Programmer Analyst II

Overview

Perform bioinformatics programming activities that support the statistical and computational needs of clinical research projects, working as part of a study team under a lead programmer.

What you'll do

• Complete programming tasks assigned by study project leads, including creating, running, maintaining, and validating programs that transfer data between data management systems or operating systems.
• Combine data from different sources and structures, and generate summary data and reports.
• Produce or validate listings, tables, and figures using SAS and established tools and processes.
• Prepare and analyze clinical trial patient datasets, including laboratory, vital signs, tumor response, imaging, quality of life and well-being questionnaire, and adverse event data.
• Work with researchers and multidisciplinary project teams to understand project needs, analyze problems, and recommend technology-based solutions and computational approaches.
• Develop customized code that uses existing tools and applications to produce or validate outputs for clinical bioinformatics and technical use.
• Serve as the programming lead on studies of simple to moderate complexity, delivering lead programmer tasks and responsibilities.
• Build understanding of the lead programmer's role in the study process.
• Under close supervision, lead simple to moderately complex projects.
• Follow departmental working practice documents and standard operating procedures, and contribute to informal training materials.
• Continue developing programming, technology, clinical trial, and pharmaceutical industry knowledge through mentors, presentations and teaching events, and departmental documents and policies.

What you'll need

• Master's degree in computer science, statistics, biostatistics, mathematics, or a related field; or a bachelor's degree in one of these fields, or an equivalent degree, with relevant formal academic or vocational qualifications.
• At least 4 years of end-to-end SDTM experience, including programming and delivery of SDTM datasets.
• Relevant experience demonstrating the knowledge, skills, and abilities required for the role.
• Solid understanding of one or more programming languages.
• Solid understanding of relational database structures and complex data systems.
• Good 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 attitude and ability to work well with others.
• Initiative and motivation.
• Strong organizational skills and ability to adapt to changing priorities.

Details

• Work schedule: Standard, Monday to Friday.
• Work is performed in an office environment, with exposure to electrical office equipment.
• Occasional driving to site locations and occasional domestic or international travel may be required.