Biomedical Data Science Researcher at Weizmann institute of science
Your role will include:
The Wolfe Center at the Weizmann Institute of Science is seeking a Computational Researcher to develop AI/ML tools and investigate molecular mechanisms underlying neurodegeneration. This is a highly collaborative role at the interface of machine learning, computational biology, and biomedical research.
Key Responsibilities:
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Lead, design, and implement AI/ML-driven biomedical studies in collaboration with biologists and clinicians.
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Develop predictive models integrating real-world human clinical data and molecular experiments.
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Apply multidisciplinary methods including deep learning for computer vision, statistical genetics, causal inference, and multi-omics analyses.
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Translate discoveries in molecular mechanisms into potential therapeutic insights.
Skills and abilities:
Required Qualifications:
- MSc/PhD in machine learning, (bio)statistics, computer science, OR equivalent work experience delivering state-of-the-art AI/ML solutions
- 2+ years of hands-on experience in AI/ML
- Fluency in Python (a must)
- Experience developing in a Linux environment
- Enthusiasm to work in an academic environment
Preferred Qualifications: - ML for healthcare, disease biology, or medicine background
- Scientific publications in AI/ML (NeurIPS, ICML, ICLR, Aers), computational biology, or bioinformatics venues
- Experience working with high-throughput biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images)
- Rstudio
**Please share a brief statement of research interest/cover letter with your CV (including a list of publications) and contact information of 1-2 references