Machine Learning Research Scientist (Canada)
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Position Overview & Specifications
Insilico Medicine is seeking a Machine Learning Research Scientist for generative models in chemistry/biology. We are an end-to-end artificial intelligence-driven pharma-technology company with a mission to accelerate drug discovery and development by leveraging our rapidly-evolving proprietary platforms across biology, chemistry, and clinical development. Our Pharma.AI platform has the potential to rapidly bring novel breakthrough medicines to patients while decreasing costs and increasing the probability of success.
The candidate will
- Improve and invent new approaches for molecular structure generation
- Research and develop state-of-the-art AI/ML/DL generative models applications in drug discovery
- Optimize and improve the generative component of the platform
- Train, analyze, and deploy generative models
Requirements
- Extensive experience and a strong background in AI/ML/DL: Transformers, GNNs, RNNs, CNNs, GANs, VAEs, flow-based generative models, evolutionary algorithms
- At least two years of experience in Python
- Be experienced in Pytorch, Numpy, Pandas, Scikit-Learn, JupyterLab, Plotly, Git
- An ability to quickly test hypotheses with prototypes
- Critical thinking skills, experience in research and conducting experiments
- Motivation to learn new things and research AI solutions
- Ph.D. or M.S. in a related field
Desirable skills
- Background in chemistry or chemoinformatics
- Proven track of publications in machine learning for drug discovery
- Successful experience in ML competitions (Kaggle, etc.)
- An ability to absorb a large amount of information from various sources
- Skills and mindset for feature/component ownership
Terms
- Voluntary health insurance program and language courses (English and Chinese) after the probation period
- Reimbursement of training programs, participation in conferences and webinars, course certificates
- Flexible working schedule
- Friendly team and warm environment
Please send your CV to recruiting@insilico.com
Candidate Selection & Onboarding Process
Application & Resume Screening
Submit your tailored CV/Resume directly to the talent acquisition portal.
Technical & Competency Interviews
Virtual interviews with the hiring manager and multidisciplinary team.
Formal Offer & Benefits Negotiation
Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.
Onboarding & Corporate Integration
Equipment provisioning, team orientation, and commencement of duties.
United Kingdom Right to Work & Skilled Worker Visa Guide
Employment in the United Kingdom requires legal Right to Work verified under the Home Office Points-Based Immigration System:
Sponsoring employers must hold an active Home Office A-rated Sponsor License and assign a valid Certificate of Sponsorship (CoS). Role must meet the general minimum salary threshold (Β£38,700) or occupation going rate.
Continuous employment under Skilled Worker status establishes eligibility for Indefinite Leave to Remain (ILR) after 5 continuous years, leading to British Citizenship.
Candidate Preparation Blueprint: General
Based on transatlantic hiring benchmarks for Machine Learning Research Scientist (Canada) roles across Insilico Medicine's corporate sector, successful applicants typically excel across three core dimensions:
Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to General.
STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.
Total compensation expectation aligned within the benchmarked Salary Disclosed on Application bracket, including retirement vesting and health parity.
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