ΠΎΠ±Π½ΠΎΠ²Π»Π΅Π½ΠΎ 6 Π΄Π½Π΅ΠΉ Π½Π°Π·Π°Π΄
AI Applied Scientist (Healthcare)
139Β 000 - 156Β 500CAD
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
Π’Π΅ΠΊΡΡ:
TL;DR
AI Applied Scientist (Healthcare): Developing and deploying advanced AI models for precision health solutions with an accent on LLMs, NLP, and complex clinical datasets. Focus on building scalable data pipelines and translating sophisticated analysis into practical, data-driven healthcare applications.
Location: Waterloo, Ontario
Salary: CAD 139,000β156,500
Company
is a data platform and technology company building AI-enabled precision health solutions to improve research and patient care.
What you will do
- Identify opportunities to leverage data for groundbreaking healthcare solutions.
- Collaborate with cross-functional teams to conceptualize and implement AI solutions.
- Apply machine learning algorithms, including LLMs and NLP, to unlock insights from unstructured medical data.
- Build robust, data-driven solutions that address significant healthcare challenges.
- Design and build scalable data pipelines to ensure data quality and accessibility.
Requirements
- Advanced degree in a quantitative discipline or equivalent practical experience.
- 2+ years of experience applying advanced machine learning and AI techniques to clinical data.
- Direct experience working with LLMs and prompt optimization technologies.
- Strong proficiency in Python.
- Ability to work cross-functionally and lead projects.
Nice to have
- Experience with LLM fine-tuning and retrieval-augmented generation (RAG).
- Familiarity with software engineering principles and production deployment.
- Experience developing transformer-based deep learning algorithms using TensorFlow or PyTorch.
- Experience working with clinical subject matter experts.
Culture & Benefits
- Full-time position with competitive base salary, bonus, and equity.
- Comprehensive benefits package.
- Eligible for -sponsored immigration support.
- Opportunity to work at the intersection of technology, data science, and healthcare.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β
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