Faculty Postdoctoral Fellow - Chemistry & Biochemistry - James Moody Lab
About The Position
Work with a multidisciplinary team to develop a generalizable computational method to model and predict the crystallizability of TELSAM-client protein fusions, with the ultimate goal that such a method will accurately predict a crystallizable variant of every stably folded domain of every protein in the Uniprot database Train and mentor graduate and undergraduate students in modern protein modelling and engineering software, including the Rosetta modelling suite, with the goal being to foster a stronger Rosetta user base in the lab If interested, experimentally evaluate selected engineered proteins for desired activity. Plan and execute studies and experiments efficiently Present results to and counsel with the PI weekly Collaborate effectively with other research teams within and outside the laboratory Troubleshoot failed procedures effectively Exhibit commitment to the development of the laboratory and its research program Stay abreast of new developments in the computational protein modeling and design field
Requirements
- PhD. The required degree must be completed by the start date.
- Computational modeling and design of proteins and other macromolecules
- Modifying modeling/design software/algorithms
- Developing new modeling/design software/algotithms
- The Rosetta macromolecule Modeling Suite
- Training and using machine learning models
- RFDiffusion
- AlphaFold
- Python
- Oral and written English
- Independently driving projects
- Developing and training deep learning methods using computational frameworks such as PyTorch, TensorFlow etc.
- Effective time management
- Multitasking where appropriate
- Working independently or as part of a team
- Tackling molecular questions in the biomedical sciences
- Key question identification, experimental design, data analysis, deductive reasoning, and cognitive synthesis
- Training and mentoring fellow researchers
- Protein production
- Protein purification
- Biochemical protein assays
Responsibilities
- Work with a multidisciplinary team to develop a generalizable computational method to model and predict the crystallizability of TELSAM-client protein fusions, with the ultimate goal that such a method will accurately predict a crystallizable variant of every stably folded domain of every protein in the Uniprot database
- Train and mentor graduate and undergraduate students in modern protein modelling and engineering software, including the Rosetta modelling suite, with the goal being to foster a stronger Rosetta user base in the lab
- Experimentally evaluate selected engineered proteins for desired activity. Plan and execute studies and experiments efficiently
- Present results to and counsel with the PI weekly
- Collaborate effectively with other research teams within and outside the laboratory
- Troubleshoot failed procedures effectively
- Exhibit commitment to the development of the laboratory and its research program
- Stay abreast of new developments in the computational protein modeling and design field
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What This Job Offers
Education Level
Ph.D. or professional degree
Number of Employees
1,001-5,000 employees
