There are positions for outstanding postdoctoral fellows. Ideal candidates must have a Ph.D. in Computer Science, Computational Biology, Engineering or a related life sciences field with quantitative skills. Excellent computational (e.g. Algorithms, Machine Learning, Mathematics), programming (e.g. C/C++, Java or Python) and communication skills are required. Candidates with prior experience in biomolecular sequence analysis are highly desirable.
The candidate is expected to take leadership of some the exciting research questions we are actively perusing in the domains of characterizing human genomes using current (and future!) sequencing technologies, understanding of cancer genomes and quantifying the disease evolution.
Please email your CV to "email@example.com" along with a brief description of your background and future interest. Use the subject "Postdoctoral Fellows in Computational Genomics -- Algorithm Development".
1) Prospective students in my group must first get admitted to one of our graduate programs (Tri-I CBM or PBSB). You can apply through this link . Please ensure all your application materials are submitted by the December 1st deadline. Please elaborate your interest in working with me in your Statement of Purpose and in the Faculty & Research Interests part of your online application.
2) I strongly believe that the nature of computational biology research is such that the work of highest impact usually involves the combination of cutting edge technology, computer science and mathematical innovation, and medical and molecular biological insight. In contrast with traditional Computer Science or Engineering programs, our competitive Tri-I CBM and PBSB programs offer unprecedented level of interdisciplinary training and a great deal of flexibility in cutting edge research. Our graduate students come from a wide array of backgrounds including computer science, engineering, medicine, natural sciences and mathematics. Those interested in joining my group will be mostly focused on algorithms, machine learning and deep learning skills with applications to genomics, cancer research, and sequencing technology development.
3) We take our students from the following two programs. Both programs are competitive, fully funded and offer highly competitive stipend (in fact among the most generous programs in the US), benefit packages and deeply discounted student housing in New York City. You may apply to either or both programs. However, we strongly advise applicants to apply to BOTH programs to double your admission chance.
4) You may contact me to pre-review your application materials, but note that the admissions are done through a selective admission committee. Please email your CV and other application materials to "firstname.lastname@example.org" along with a brief description of your background and future interest. Use the subject "Prospective Graduate Student in Computational Genomics". I will read and consider all your emails. While I cannot always respond to individual emails, you may send me a note when you apply so I can follow your full application.