We are looking for a Biomedical Data Science Researcher who'll join Prof. Eran Hornstein's lab at Weizmann Institute of Science.

You'll be able to develop ML/AI tools and investigate molecular mechanisms underlying neurodegeneration. Projects are highly collaborative and will draw on various techniques, including deep learning for computer vision, statistical genetics, causal inference, and multi-omics studies.

In this position, you will initiate, lead, design, and implement AI/ML-driven biomedical studies with domain experts (biologists/clinicians).

We integrate multidisciplinary biology and data science methods, real-world human clinical data, and molecular experiments. We aim to leverage AI/ML and develop powerful bio-medical predictive models. We also translate the molecular mechanisms we have discovered – that underlie neurodegeneration into potential therapies.

Requirements:

• 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 research interest/cover letter statement with your CV (including a list of publications) and contact information of 1-2 references.