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.
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.
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.
