Role Summary
Join Wave Life Sciences as a Discovery IT Co-op for Fall 2026. The co-op will join the program team that builds and supports the Wave SONAR platform, using Agile and Waterfall methodologies to learn and perform IT, data science, and product management functions in a digital scientific environment. This role provides hands-on experience creating, managing, and using scientific data for research and other Wave functional groups.
Responsibilities
- Typical Responsibilities include providing support functions for program and project management activities focused in the Research organization. The position will report to the Associate Director, Lead Discovery Data Architect and Engineering.
- Gain Knowledge of the IT Department technologies and procedures.
- Received guidance, training, and mentoring from senior IT and Project Team members in planning and carrying out activities and assignments.
- Assist team members by performing tasks necessary to support SONAR platform objectives as well as build foundational skills and knowledge.
- Help with moving legacy data (for example images, results in spreadsheets) into modern databases and facilitate the querying of them once identifying good questions via interactions with the business
- Assist with documentation of lab and technology functions.
- Effectively communicate with the customers, manager, mentors, and team members on the status of work. Ask relevant questions and listen attentively with patience as part of communication.
- Utilize the Atlassian toolset to document all aspects of the digital process.
- Other duties as assigned.
Qualifications
- Enrolled in a Life Science or Computer Science program in pursuit of a bachelorโs or masters degree.
- Strong digital background.
- Good to strong knowledge of Python for manipulating files writing scripts and applications for automations etc
- Familiarity with database technologies, and ability to insert to relational systems using Python
- Familiarity with version control systems such as GIT
- Working knowledge of technologies such as Knime, Posit, Copilot (and/or other LLM based AI systems), AI in general preferred
- Effective written and verbal communication skills. For example, must be able to collaborate with teammates, talk to customers, respond to emails with proper grammar and spelling.
- Must be well-organized and can work in a team environment.
- Ability to manage responsibilities in a fast-paced environment.
- Able to take direction needed to resolve incidents quickly and effectively.
- Able to complete routine tasks independently over time. This includes gaining the functional, technical, and problem- solving skills needed to complete assignments.
Education
- Enrolled in a Life Science or Computer Science program in pursuit of a bachelorโs or masters degree.