6 дней назад
Data Science Team Lead (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Science Team Lead (AI): Leading the development of advanced AI solutions for digital pathology, oncology, and drug development with an accent on deep learning, multimodal biomedical data, and LLM-based workflows. Focus on defining technical direction, solving complex machine-learning problems, and building reliable, reproducible models with a team of Data Scientists.
Location: Tel Aviv, Israel. Hybrid work model: 4 days per week in the Tel Aviv office and 1 fixed work-from-home day on Tuesdays.
Company
develops multimodal AI models and pathology assays for precision oncology, biomarker discovery, patient stratification, response prediction, and companion diagnostics.
What you will do
- Lead, mentor, and develop a team of Data Scientists.
- Own technical direction, priorities, execution, and delivery for data science initiatives.
- Break complex machine-learning and research problems into executable projects.
- Provide hands-on leadership across model development, experimentation, and evaluation.
- Maintain high technical standards through model, experiment, and code reviews.
- Drive adoption of state-of-the-art AI methods, tools, and development workflows.
Requirements
- M.Sc. in Computer Science, Software Engineering, Data Science, or a related field.
- 6+ years of hands-on machine-learning or deep-learning experience, including 2+ years leading an ML or Data Science team.
- Strong practical expertise in deep learning, including model architecture, training, optimization, and debugging.
- Experience taking complex ML projects from ambiguous research questions to robust, reproducible solutions.
- Practical experience with coding agents such as Cursor, Claude Code, or Codex, including rules, skills, tools, MCP, and automated development workflows.
- Strong understanding of model evaluation, experimental design, and reliable AI systems.
Culture & Benefits
- Full-time employment under a global contract.
- Close collaboration with Engineering, Product, Pathology, and Scientific teams.
- Office located near train and light rail connections.
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