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Postdoctoral Research Fellow, Computational Biology
2 months ago
**About the Role**
We are seeking a highly skilled Postdoctoral Fellow to join our team at Memorial Sloan Kettering Cancer Center. As a Postdoctoral Fellow, you will work closely with our team of researchers to develop and apply state-of-the-art machine learning and artificial intelligence techniques to analyze large-scale biological data.
Key Responsibilities
- Develop and apply local and global matrix completion approaches to omics data in the context of human diseases.
- Build large-scale neural network and graph-embedding models on biomedical and cancer knowledge graphs, with applications to predicting patient risk.
- Work on multimodal diffusion and transformer-based language models to connect different modalities of genomic and genetic data.
Requirements
- Ph.D. in Computer Science, Statistics, Biostatistics, Computational Biology, or a related field.
- Strong background in machine learning, optimization, and AI models.
- Proficiency in computing, with expertise in Python and computing on GPUs.
- Prior experience working on large-scale biological data analysis projects.
What We Offer
- Competitive postdoctoral salary and benefits package.
- Opportunity to work with a talented team of researchers and clinicians.
- Access to state-of-the-art computational resources and facilities.
- Professional development opportunities, including training and mentorship.
How to Apply
Please submit your application, including your CV, a brief cover letter outlining your interest and qualifications, and names/contact information for three references, to the following email address:
