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במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
מלאה
25,000-35,000 ₪
We are looking for a Senior AI Researcher to work closely with our delivery team, translating real-world clinical and scientific questions into rigorous AI and machine learning solutions. In this role, you will lead the development of methodologies, models, and benchmarking frameworks that address complex clinical problems using our unique immune-cell data. Your work will directly impact how our partners understand biology, evaluate hypotheses, and make decisions.
Location: Ramat Gan (hybrid model).
What will you do?
Partner with the collaborations team and scientists to frame complex clinical and biological questions as well-defined data science and modeling problems.
Design, implement, and evaluate the right analytical and modeling approaches for each problem, including robust benchmarking and validation strategies.
Clearly communicate results, limitations, and tradeoffs to internal teams and external partners, enabling confident, data-driven decisions.
Establish best practices for rigor, reproducibility, evaluation, and documentation across delivery-focused data science work.
Work hand-in-hand with immunologists, computational biologists, AI scientists, and engineers to ensure solutions are scientifically sound and production-aware.
Translate modeling solutions into engineered and iterable products used by the internal collaborations team.
Location: Ramat Gan (hybrid model).
What will you do?
Partner with the collaborations team and scientists to frame complex clinical and biological questions as well-defined data science and modeling problems.
Design, implement, and evaluate the right analytical and modeling approaches for each problem, including robust benchmarking and validation strategies.
Clearly communicate results, limitations, and tradeoffs to internal teams and external partners, enabling confident, data-driven decisions.
Establish best practices for rigor, reproducibility, evaluation, and documentation across delivery-focused data science work.
Work hand-in-hand with immunologists, computational biologists, AI scientists, and engineers to ensure solutions are scientifically sound and production-aware.
Translate modeling solutions into engineered and iterable products used by the internal collaborations team.
Requirements:
Required qualifications:
MSc or PhD in Computer Science, Statistics, Mathematics, Machine Learning/Data Science, Physics, Computational Biology, or a related field
At least 4 years of industry experience.
Strong foundation in machine learning - neural networks/classical machine learning.
Hands-on experience with Python-based data science and ML tooling.
Proven experience working with large, complex datasets (biological data preferred).
Experience with MLOps/DataOps practices for robust and reproducible ML training and evaluation pipelines, including experience with benchmarking tools and pipeline optimization.
Experience in statistics, probability, mathematical modeling and experimental design - preferred.
Experience using transformer-based models for applied solutions - preferred.
Experience in biotech, life sciences, or healthcare - preferred.
Desired personal traits:
You want to make an impact on humankind.
You prioritize We over I.
You enjoy getting things done and striving for excellence.
You collaborate effectively with people of diverse backgrounds and cultures.
You have a growth mindset.
You are candid, authentic, and transparent.
Required qualifications:
MSc or PhD in Computer Science, Statistics, Mathematics, Machine Learning/Data Science, Physics, Computational Biology, or a related field
At least 4 years of industry experience.
Strong foundation in machine learning - neural networks/classical machine learning.
Hands-on experience with Python-based data science and ML tooling.
Proven experience working with large, complex datasets (biological data preferred).
Experience with MLOps/DataOps practices for robust and reproducible ML training and evaluation pipelines, including experience with benchmarking tools and pipeline optimization.
Experience in statistics, probability, mathematical modeling and experimental design - preferred.
Experience using transformer-based models for applied solutions - preferred.
Experience in biotech, life sciences, or healthcare - preferred.
Desired personal traits:
You want to make an impact on humankind.
You prioritize We over I.
You enjoy getting things done and striving for excellence.
You collaborate effectively with people of diverse backgrounds and cultures.
You have a growth mindset.
You are candid, authentic, and transparent.
This position is open to all candidates.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
רמת גן
