Software Engineer III, Knowledge Platform
DataminrSalary not specified
Full Time
Junior (1 to 2 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Biotechnology, PharmaceuticalsIndustries
Requirements
Candidates should possess a minimum of 3, ideally 5+ years of experience as an ML engineer, demonstrating a strong foundation in machine learning principles and practices. Experience providing technical leadership on complex projects is highly desirable.
Responsibilities
The Senior Machine Learning Engineer will analyse and manipulate a large biological knowledge graph to identify data enrichment opportunities, collaborate with data and knowledge engineering experts to design and develop knowledge enrichment approaches, provide solutions related to classification, clustering, and relationship discovery, deliver robust and scalable ML models, architect and design ML solutions, and collaborate with teammates and stakeholders to ensure alignment and adoption of ML best practices. They will also participate in agile rituals and contribute to technical solutioning and approaches, and sometimes provide technical leadership on Knowledge Enrichment projects.
Skills
Machine Learning
Knowledge Graphs
Graph ML
Classification
Clustering
Data Science
Biomedical Data
Unstructured Text Processing
BenchSci
AI-driven platform for preclinical research
About BenchSci
BenchSci operates in the biotechnology sector, specializing in preclinical research and development. The company uses artificial intelligence and machine learning to create a detailed map of disease biology, which helps scientists understand existing research and improve their R&D efficiency. Its main product, ASCEND, is a platform that extracts evidence from various data sources to assist scientists in hypothesis generation and risk identification. BenchSci aims to enhance research capabilities and reduce risks in preclinical studies.
Toronto, CanadaHeadquarters
2015Year Founded
$156.6MTotal Funding
SERIES_DCompany Stage
AI & Machine Learning, BiotechnologyIndustries
201-500Employees