Build a protein property prediction AI model - BC-619

Genre de projet: Recherche
Discipline(s) souhaitée: Génie -biomédical, Génie, Génie - chimique / biologique, Biologie, Sciences de la vie, Informatique, Sciences mathématiques, Statistiques / études actuarielles, Chimie, Sciences naturelles
Entreprise: AI Dynamics
Durée du projet: 4 to 6 months
Preferred start date: As soon as possible.
Langue exigée: English
Emplacement(s): États-Unis; Canada; Japon; Canada; Canada
Nombre de postes: 1
Niveau de scolarité désiré: MaîtriseDoctorat
Rechercher dans les réseaux internationaux de Mitacs - cochez cette case si vous souhaitez recevoir des profils de chercheurs basés à l’extérieur du Canada: 
Yes

Au sujet de l’entreprise: 

AI Dynamics was formed in 2015 on the belief that businesses, regardless of size, should have access to affordable AI solutions. 

Our trusted AI platform, allows every enterprise to expand AI capabilities across the organization while providing data security and management capabilities. In addition, NeoPulse can be deployed on any on-premise device, cloud or IoT environment.

We care deeply about building products that cater to our customer's needs and UX/UI design is paramount. 

Veuillez décrire le projet.: 

Goal of the project is to build AI models that can predict protein properties. You will:

- Gather data from public data sources, format and organize.
- Summarize data using simple statistics.
- Assist designing in silico experiments to solve the problems using machine learning.
- Assist interpreting machine learning results in the context of biology.
- Participate in scientific discussions and communicate analysis results with the team. 

Expertise ou compétences exigées: 

- Currently pursuing master’s or Ph.D. degree in computational biology, bioinformatics, cheminformatics or equivalent field.
- Basic knowledge of biology and statistics.
- Proficient in computational programming language, R and/or Python.
- Familiar with Unix and/or shell scripting.
- Familiar with public biological databases such as PDB, TCGA, STRING etc is a big plus.
- Knowledge and experience in protein science, chemical informatics, and/or gene expression data is a plus.