Basic Life Research Scientist (3 Year Fixed Term)

Company: Stanford University
Location: Stanford
Posted on: February 11, 2026

Job Description:

Basic Life Research Scientist (3 Year Fixed Term) at Stanford University summary: The Basic Life Research Scientist at Stanford University conducts advanced experimental and computational research to study protein-RNA interactions at scale, integrating high-throughput sequencing with machine learning methods. This role involves designing and optimizing experimental protocols, analyzing data, preparing scientific reports, and mentoring junior lab members within a collaborative and inclusive environment. The position contributes to innovative genomic research with the goal of advancing knowledge in molecular biology and improving human health outcomes. The Department of Genetics at Stanford University is a leading center for genomic research, dedicated to understanding the molecular mechanisms underlying human health and disease. Our department brings together world-class faculty and researchers who develop and employ cutting-edge technologies —from molecular to computational approaches— to tackle fundamental questions in genetics. We foster a collaborative, interdisciplinary environment that bridges basic science with clinical applications, training the next generation of geneticists while pursuing discoveries that translate into improved human health outcomes. Our mission emphasizes scientific excellence, innovation, and the responsible application of genetic knowledge to benefit society. We are committed to building an inclusive scientific community that values the contributions of all our members to our research programs. The Cox laboratory at Stanford University School of Medicine seeks a full-time staff research scientist to accelerate the development of novel technologies for probing protein-RNA interactions at scale. Our laboratory aims to solve the fundamental challenge of predicting protein-RNA complex structures directly from sequence by integrating high-throughput experimental data with machine learning methods. The successful candidate will focus primarily on developing and implementing the experimental technologies that enable these large-scale measurements. More information about the lab can be . In this role, you will perform professional research in support of our scientific mission. You will contribute to developing research goals for the laboratory, work collaboratively with the Lab Head to determine optimal research methods, and independently perform scientific procedures requiring professional judgment. Additional responsibilities include interpreting experimental results, reviewing pertinent literature, and preparing research reports for presentation and publication. What we provide: • Basic science research projects with potential for broad and sustained impact on pressing biomedical problems • Training in cutting-edge experimental and computational methods in molecular biology and biochemistry, including high-throughput sequencing • A collaborative, inclusive, and supportive research environment • Opportunities for authorship on research publications • A team committed to continuous learning and scientific collaboration • Membership in Stanford's vibrant scientific communities across the Department of Genetics, School of Medicine, and broader university CORE DUTIES: Research & Technical Development: • 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 Data Analysis & Reporting: • Prepare comprehensive research reports, manuscripts, and presentations for scientific meetings and publication • Collaborate on data visualization and statistical analysis to support research conclusions Laboratory Leadership & Management: • 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 • Oversee laboratory operations including supply management, equipment maintenance, and safety protocols • Prepare specifications for specialized equipment and coordinate procurement of some research supplies Required Qualifications: • Ph.D. in biochemistry, molecular biology, structural biology, genetics, or related field; or equivalent combination of education and experience • 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 work independently while contributing effectively to team-based research goals • Ability to develop innovative processes to achieve goals. Directs others to develop essential tasks. Reviews work activities to determine where new information could improve processes or move projects forward • Ability to write and prepare reports or manuscripts for presentation to large audiences. • Experience mentoring and training junior researchers • Commitment to fostering an inclusive and collaborative research environment Preferred Qualifications: • 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 • Track record of scientific publications in peer-reviewed journals Physical Requirements: Remaining in a normal seated or standing position for extended periods of time; reaching and grasping by extending hand(s) or arm(s); dexterity to manipulate objects with fingers, for example using a keyboard; communication skills using the spoken word; ability to see and hear within normal parameters; ability to move about workspace. The position requires mobility, including the ability to move materials weighing up to several pounds (such as a laptop computer or tablet). Please Note: • This job description sets forth the job’s principal duties, responsibilities, and requirements; it should not be construed as an exhaustive statement, however. • Interested applicants should submit a cover letter, current CV, publication list and the contact information for at least 3 references with their application. The expected pay range for this position is $75,000 to $96,000 per annum. Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including equivalent years since their applicable education, field or discipline; departmental budget availability; internal equity; among other factors. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Stanford welcomes applications from all who would bring additional dimensions to the University's research mission. Stanford University has provided a pay range representing its good faith estimate of what the university reasonably expects to pay for the position. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the experience and qualifications of the selected candidate including equivalent years since their applicable education, field or discipline; departmental budget availability; internal equity; among other factors. Keywords: protein-RNA interaction, genomic research, high-throughput sequencing, molecular biology, machine learning, biochemistry, structural biology, experimental design, data analysis, scientific publication

Keywords: Stanford University, Danville , Basic Life Research Scientist (3 Year Fixed Term), Science, Research & Development , Stanford, California