Job Description
Internship Opportunities in AI/ML in drug discovery
Intern, Biomarkers & Data Analytics
WHAT YOU WILL DO:
You can expect the following as an intern:
- Conduct a comprehensive literature review on AI-guided microdissection techniques and the applications on various disease areas.
- Support the team in developing workflow for AI-guided microdissection, including assisting with lab-related work (e.g. histology, protocol optimization, whole slide imaging, laser microdissection).
- Perform image analysis and/or develop AI/ML algorithm for detection of relevant features
- Collaborate with cross-functional teams such as biologists, pathologists, and AI/ML experts on projects.
- Participate in team meetings and contribute to discussions on project progress and findings.
- Present findings and insights to the team and stakeholder
PREFERRED SKILLS/EXPERIENCE:
- Enrollment in an Undergraduate/Master’s program leading to a Degree in Biomedical Engineering, Biomedical Science, or Bioengineering; other programmes can be considered on individual merit
- Took relevant courses and had hands-on experience on wet lab projects as well as dry lab projects related to Image Analysis, Machine Learning/Deep Learning.
- Proficient with programming/scripting using MATLAB, Bash, Python etc and common libraries.
WHO WE LOOK FOR:
- Strong interest in working in a research-intensive environment
- Excellent communication and facilitation skills
- Quick learner and passion for learning
- Have a positive, proactive, can-do attitude
- Good team player
- Strong problem solving skills
- Availability for 6 months in a full-time capacity preferred
Current Contingent Workers apply
Intern/Co-op (Fixed Term)
*A job posting is effective until 11:59:59PM on the dayBEFOREthe listed job posting end date. Please ensure you apply to a job posting no later than the dayBEFOREthe job posting end date.
A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.