Department of Biochemistry, Brandeis University
Are you a creative scientist with a passion for integrating experimental and computational approaches? Do you thrive at the intersection of cutting-edge research, data science, and mentorship? Join the Street Lab at Brandeis University as we uncover mechanisms of molecular chaperones and build a new AI-powered scientific discovery tool.
Dr. Timothy Street’s lab investigates how Hsp70 and Hsp90 chaperones use ATP-driven conformational changes to regulate protein folding and degradation. By combining structural methods, protein folding, kinetic/thermodynamic analysis, and computational modeling, we aim to uncover the core principles of chaperone function.
We are now seeking an Associate Research Scientist to help lead an ambitious new initiative: building a structured, searchable experimental database and integrating it with an AI-driven research assistant to accelerate hypothesis generation, testing, and discovery.
Initial appointment is for two years, with potential for renewal.
Your Role Will Include:
Research & Mentorship (40%)
Develop hands-on, modular training materials in experimental design and analysis
Mentor and support undergraduate and graduate researchers
Cultivate a collaborative learning environment across the lab
AI-Driven Mechanistic Discovery (40%)
Help develop and train a “Street Lab AI model” to generate and test quantitative hypotheses
Integrate experimental data into mechanistic models
Contribute to high-impact publications through data analysis and manuscript writing
Data Infrastructure & Management (20%)
Create and maintain a structured, user-friendly database of experimental results
Ensure data is accessible for reanalysis, integration, and computational modeling
Qualifications:
Ph.D. in biophysics, structural biology, biochemistry, or a related field
1–3 years of experience managing scientific datasets or databases
Strong mentoring and communication skills
Experience building quantitative mechanistic models from biochemical/biophysical data is preferred
Familiarity with Python and scientific data analysis is a plus
Previous experience with chaperone mechanisms is a plus
Equal Opportunity Statement
Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class")
Biology & Biotech (7)