Posting TitlePostdoctoral Researcher - Computational Protein Design
LocationCO - Golden
Position TypePostdoc (Fixed Term)
Hours Per Week40
Job DescriptionThe successful candidate will work in the DOE-funded Cell Free and Immobilization Technology (CFIT), Biochemical Process Modeling and Simulation, (BPMS) and Center for Bioenergy Innovation (CBI) projects on the engineering of enzymes using cutting edge deep learning techniques for proteins and on the of design novel machine learning frameworks. The candidate will also work on protein variant screening and the development of new automation approaches to design libraries for experimental testing to enable novel enzyme cascades for cell free biomanufacturing. A background in computational enzyme design, enzyme engineering, machine learning, automation, and biochemistry would be ideal for this position. The successful candidate will be able to work independently but is expected to work well in a large collaborative team with researchers from NLR, academia, other national labs, and industry partners.
The successful candidate will be able to:
- Work safely and independently in a laboratory setting
- Plan and execute research in collaboration with other researchers
- Communicate scientific results effectively, both in written and oral formats
- Author peer-reviewed publications
- Work effectively in a large, multidisciplinary, multi-institutional team of scientists and engineers.
Basic QualificationsMust be a recent PhD graduate within the last three years.
* Must meet educational requirements prior to employment start date.Additional Required Qualifications- Recent PhD graduate within the last three years in Computational Biology, Biochemistry, Biological Engineering, Chemistry, Biophysics, or a closely related field.
- Strong knowledge of machine learning and atomistic modeling
- Demonstrated experience in computational enzyme engineering.
- Protein biochemistry
- HTP assays implementation
- Knowledge of protein structure/function
- Bioinformatics competencies
- Takes initiative to set direction and goals for assigned tasks
- Ability to deliver high-quality results within aggressive timelines
- Strong record of quality peer-reviewed publications
- Strong safety record
Preferred Qualifications- Research experience in computational enzyme engineering
- Machine learning for design-build-test-learn cycles and generation of new gene libraries.
Job Application Submission WindowThe anticipated closing window for application submission is up to 30 days and may be extended as needed.
Annual Salary Range (based on full-time 40 hours per week)Job Profile: Postdoctoral Researcher / Annual Salary Range: $76,600 - $126,400
NLR takes into consideration a candidate's education, training, and experience, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In compliance with the Colorado Equal Pay for Equal Work Act, a potential new employee's salary history will not be used in compensation decisions.
Benefits SummaryBenefits include medical, dental, and vision insurance; short-term disability insurance*; pension benefits*; 403(b) Employee Savings Plan with employer match*; life and accidental death and dismemberment (AD&D) insurance; personal time off (PTO) and sick leave; and paid holidays. NLR employees may be eligible for, but are not guaranteed, performance-, merit-, and achievement- based awards that include a monetary component. Some positions may be eligible for relocation expense reimbursement.
* Based on eligibility rules
Badging RequirementNLR is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as required by Homeland Security Presidential Directive 12 (HSPD-12), which includes a favorable background investigation.
Drug Free WorkplaceNLR is committed to maintaining a drug-free workplace in accordance with the federal Drug-Free Workplace Act and complies with federal laws prohibiting the possession and use of illegal drugs. Under federal law, marijuana remains an illegal drug.
If you are offered employment at NLR, you must pass a pre-employment drug test prior to commencing employment. Unless prohibited by state or local law, the pre-employment drug test will include marijuana. If you test positive on the pre-employment drug test, your offer of employment may be withdrawn.
Submission GuidelinesPlease note that in order to be considered an applicant for any position at NLR you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.