AI-Powered Acne Lesion Progression Simulator - AB-095
Project type: ResearchDesired discipline(s): Biochemistry / Molecular biology, Life Sciences, Medicine, Microbiology / Immunology
Company: Faculty of Skin
Project Length: 6 months to 1 year
Preferred start date: 09/08/2025
Language requirement: English
Location(s): AB, Canada
No. of positions: 1-2
Desired education level: Undergraduate/BachelorMaster'sPhDPostdoctoral fellowRecent graduate
Open to applicants registered at an institution outside of Canada: No
About the company:
Faculty of Skin is a Canadian AI-health startup focused on personalizing skincare and democratizing dermatologic insights. Through advanced machine learning, Faculty of Skin develops digital tools to help patients, primary care physicians, and cosmetic companies make informed treatment decisions. Our mission is to bridge the gap between consumer wellness, dermatology, and evidence-based AI. We work across spa and clinical environments and specialize in building explainable and interoperable software.
Describe the project.:
This project will develop technology to forecast how acne lesions progress over 90 days, using longitudinal lifestyle, skin and treatment data. The goal is to provide an evidence-based tool that predicts the effects of various treatment and behavioral interventions on acne outcomes.
The project will have two major components:
Modeling: Build and train an RNN model using curated inputs including baseline lesion counts, treatment regimen, and lifestyle factors such as sleep, diet, and stress.
Data Collection Study: Design and support a longitudinal data collection study that gathers daily or weekly skin health data from participants over a 90-day period. This data will power the initial training of the simulation engine.
Required expertise/skills:
- Background in dermatology, medical education, or clinical research
- Strong understanding of acne, lesion classification, and treatment mechanisms
- Experience or willingness to support the design of a 90-day longitudinal skin tracking study
- Ability to help define clinically meaningful inputs and outputs for an acne simulation model
- Familiarity with common acne treatments and how their efficacy varies based on patient characteristics
