Stanford University's Department of Genetics is seeking a staff research scientist to accelerate the development of novel technologies for probing protein-RNA interactions at scale, aiming to solve the fundamental challenge of predicting protein-RNA complex structures directly from sequence by integrating high-throughput experimental data with machine learning methods.
Requirements
- Demonstrated experience with protein purification, nucleic acid biochemistry, and next-generation sequencing technologies
- Strong technical proficiency combined with scientific creativity and collaborative skills
- Ability to develop innovative processes to achieve goals.
- Experience mentoring and training junior researchers
- Experience with biochemical assays for protein-nucleic acid interactions
- Familiarity with computational analysis of next-generation DNA sequencing data
- Prior experience in technology development or method optimization
Responsibilities
- Design, develop, and perform specialized experimental procedures for protein-RNA interaction studies, including high-throughput sequencing-based assays
- Identify methodological challenges in research protocols and implement innovative solutions to optimize experimental outcomes
- Evaluate emerging technologies and lead the integration of new methodologies into laboratory workflows
- Troubleshoot complex experimental systems and maintain laboratory instrumentation
- Organize experimental data
- Develop and implement short- and long-term research strategies in collaboration with the Lab Head
- Train and mentor junior laboratory members in experimental techniques and data analysis methods
Other
- Ph.D. in biochemistry, molecular biology, structural biology, genetics, or related field; or equivalent combination of education and experience
- Ability to work independently while contributing effectively to team-based research goals
- Ability to write and prepare reports or manuscripts for presentation to large audiences.
- Commitment to fostering an inclusive and collaborative research environment
- Track record of scientific publications in peer-reviewed journals
