Natural proteins evolved over millions of years to solve the most complex challenges on Earth. However, we face new and pressing challenges today.
The goal of the Institute for Protein Design is to develop and apply methods for designing a whole new world of synthetic proteins to address these challenges.
To achieve this, we are marshalling deep institutional strengths in our faculty, scientific staff, postdoctoral fellows and graduate students, our partners from collaborating institutions, innovator networks and from the computer and biotechnology industries — bringing extraordinary expertise to bear on a singular focus to advance the potential of protein design.
The UW Institute for Protein Design fcurrently has an outstanding opportunity for a Research Engineer 1 in Computer Science. This position will design improved algorithms for computational protein design, with special emphasis on machine learning approaches in the optimization of de novo protein design protocols.
- Collaborate with the Investigator and numerous researchers at the Institute for Protein Design on de novo design of new proteins.
- Collaborates with other research staff, postdoctoral fellows and graduate students to on de novo design of new proteins.
- Manages complex multi-task projects directed at the design, production, and characterization of numerous de novo designed proteins with higher order function.
- Trains others in how to use Rosetta software and protein design computing infrastructure.
- Participates in complex projects with uncertain outcomes requiring analysis from multiple perspectives.
- Use expert knowledge and judgment to develop new methods and techniques for obtaining solutions to de novo protein design challenges.
- Bachelor’s Degree in Computer Science or Electrical Engineering + 3 months or more years of experience in related field or equivalent experience in a programming/software engineering field.
- At least two quarters of graduate student/PhD program level studies in computer science, machine learning, and protein biochemistry including wet lab experience.
- Proficiency with office productivity software (e.g. Google apps, Word, Powerpoint, Excel) to prepare research reports.
- At least one year of wet lab related protein research experience with molecular DNA cloning and protein production, purification, and biophysical characterization in a biochemistry research laboratory.
- Experience in Computational protein design with Rosetta, Software languages and database architectures.
- Familiarity with machine learning strategies and energy function optimization.
- Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration.