We are hiring a computational researcher 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 statement of research interest/cover letter with your CV (including a list of publications) and contact information of 1-2 references.
This position is open to all candidates.
