A new fully funded postdoc position is available in my lab at biomine.cs.vcu.edu/. This position is at the interface of bioinformatics and machine learning and involves development of high-end protein bioinformatics tools and resources for the prediction and characterization of protein function and structure. This is an excellent opportunity to be part of the team that won the recent Critical Assessment of protein Intrinsic Disorder prediction (CAID) experiment (www.nature.com/articles/s41467-021-24773-7).
The position is open to both new and experienced postdocs. Research projects will involve design, implementation, comparative analysis, and deployment of computational algorithms, parsing and analysis of molecular data, and/or development and administration of online databases and servers. The ideal candidate will have a strong background in programming, use of machine learning libraries, predictive modelling, and (preferably) computational analysis of molecular data. Preference will be given to candidates who have experience in the analysis of protein sequences. We offer contracts for at least 2 years, access to state-of-the-art infrastructure, stimulating research environment, and excellent opportunities to work with a strong network of international collaborators.
- Ph.D. in Computer Science, Bioinformatics or closely related field
- Demonstrated experience with programming (python and/or java) and predictive machine learning modelling
- Excellent communication skills
- Ability to work under tight deadlines and short turnaround times
- Commitment to fostering diverse faculty, staff, and student environment
- Demonstrated experience with machine learning libraries in python (Scikit-learn, TensorFlow and others)
- Demonstrated experience with front end and back end development of web servers
- Demonstrated experience in the analysis and prediction of protein sequences
- Ability to mentor junior team members
To apply, please visit vcu.csod.com/ux/ats/careersite/1/home/requisition/2406?c=vcu.
Review of applications will start on Sept. 26, 2022, and will continue until filled.