PHD Researcher jobs at University of California - 35 jobs

General Information Press space or enter keys to toggle section visibility Onsite or Remote Fully On-Site Work Schedule Monday - Friday, 8:00am - 5:00pm Posted Date 12/29/2025 Salary Range: $105700 - 234500 Annually Employment Type 2 - Staff: Career Duration Indefinite Job # 27905 Primary Duties and Responsibilities Press space or enter keys to toggle section visibility The Molecular Diagnostics Laboratory is seeking an experienced Variant Scientist to join our clinical team. In this critical role, you will curate and interpret germline and somatic variants and prepare high-quality clinical reports derived from exome and targeted cancer sequencing assays. You will contribute to variant classification, test development efforts, and clinical research projects that advance precision medicine for patients across UCLA Health and beyond. Primary duties include: * Review and assess patient clinical notes and sequencing data from high-complexity molecular assays, including Clinical Exome Sequencing, Solid Tumor Sequencing Panels, and Hematologic Malignancy Sequencing Panels. * Perform variant curation and interpretation using established guidelines and evidence-based resources. * Draft and refine clinical reports, ensuring accuracy, clarity, and clinical relevance. * Develop and update SOPs for variant curation, interpretation, and reclassification workflows * Participate in submitting curated variants to public databases (e.g. ClinVar) and contribute to quality improvement and test development initiatives. * Collaborate with clinicians, genetic counselors, and laboratory staff to support accurate and timely reporting. * Contribute to clinical research projects and assist in implementing new molecular diagnostic assays. Salary Range: $105,700.00 - $234,500.00/year Job Qualifications Press space or enter keys to toggle section visibility * At least two years' experience in germline variant curation is required. Somatic variant curation experience is a plus. * Strong working knowledge of laboratory genetics and genomics, including target capture, amplification, and massively parallel sequencing. * Familiarity with widely used genomic tools such as IGV and UCSC/COSMIC genome browsers * Ability to establish effective working relationships with clinicians, genetic counselors, and other team members. * Programming or bioinformatics experience (e.g. R, SAS, Perl, Python, regex, database design) - preferred. * PhD in human genetics, molecular genetics, cancer biology, or a related discipline - preferred. Master's degree in molecular biology, genetics, or a closely related field may be considered with relevant experience.

Caltech is a world-renowned science and engineering institute that marshals some of the world's brightest minds and most innovative tools to address fundamental scientific questions. We thrive on finding and cultivating talented people who are passionate about what they do. Join us and be a part of the diverse Caltech community. Job Summary The Ozturk Lab is seeking an Associate Scientific Researcher to serve as a co-investigator in research on prebiotic (geo) chemistry and the origins of life. The position is part of an interdisciplinary environment that integrates geosciences, chemistry, and physics to investigate fundamental questions about the emergence of life on Earth and beyond. The Scientific Researcher will lead a project and develop custom-designed tools to study the post-impact conditions of early Earth's atmosphere and its photochemical evolution, with the goal of understanding the formation of feedstock molecules that could have set the stage for prebiotic chemistry. The Scientific Researcher will also assist with the technical and operational aspects of the lab, provide technical training to lab members, and actively contribute to other ongoing research projects in alignment with the lab's research program. Essential Job Duties Lead the construction of an experimental system simulating post-impact conditions of early Earth atmospheres. Develop custom-designed tools to study the post-impact conditions of early Earth's atmosphere and its photochemical evolution. Ensure proper maintenance and functionality of laboratory instruments and equipment. Assist with the technical and operations of the lab, provide technical training to lab members, and actively contribute to other ongoing research projects in alignment with the lab's research program. Train graduate students and junior researchers on experimental techniques, data acquisition, and data interpretation. Conduct literature reviews and contribute to the preparation of scientific manuscripts and conference presentations. Other duties as assigned. Basic Qualifications Ph. D. in experimental Physics, Chemical Engineering, Space Sciences, Atmospheric Sciences, or a closely related field. A minimum of three (3) years of postdoctoral research experience in academic, industrial, or national laboratory settings. Familiarity with wet chemistry experiments and anoxic glovebox maintenance. Familiarity with IR spectroscopy, optical cavities, and analytical chemistry techniques. Familiarity with custom instrumentation design and construction. Demonstrated expertise in experimental research and a strong track record of scientific communication (e. g. , peer-reviewed publications, presentations). Preferred Qualifications Post-bachelor level experimental research on Atmospheric Chemistry / Cosmochemistry / Geochemistry / origins of life. Has worked as an engineer or senior scientist or lab manager. Experience with laser spectroscopy and NMR. Has served as a lab manager or technical staff at a research laboratory. Has taught and/or mentored students and junior researchers. Required Documents Resume

Caltech is a world-renowned science and engineering institute that marshals some of the world's brightest minds and most innovative tools to address fundamental scientific questions. We thrive on finding and cultivating talented people who are passionate about what they do. Join us and be a part of the diverse Caltech community. Job Summary IPAC at Caltech is seeking a full-time, one-year term, post-baccalaureate researcher position to investigate and implement strategies for leveraging large language models (LLMs) to help users navigate the many mission data sets and data services offered by the NASA/IPAC Infrared Science Archive (IRSA), with applicability to other IPAC archives in mind. Come be part of the team that is helping astronomers and data scientists all over the world access and explore IRSA's petabyte archives of astronomy data! IPAC, part of the Physics, Math, and Astronomy Division at Caltech (www. caltech. edu), provides science operations, user support, data and archive services, and scientific vision to enhance discovery with observatories both in space and on the ground. IRSA (************ ipac. caltech. edu) is a steward of scientific data sets delivered by NASA's Astrophysics missions. We enable transformative scientific research using data from these and other missions. IRSA ingests petabyte-scale imaging datasets, maintains multi-billion row databases, and develops a variety of tools for accessing, visualizing, and analyzing data from cutting-edge astronomical facilities. We support space observatories including SPHEREx, a NASA mission conducting an infrared, spectroscopic survey of the entire sky; Euclid, a European Space Agency (ESA) mission studying the geometry and nature of the dark Universe; and NEO Surveyor, an upcoming mission designed to discover and characterize potentially hazardous asteroids that have close approaches to the Earth. Essential Job Duties You will work within a small team to investigate strategies for leveraging LLMs to provide assistance to users of IRSA data and tools. These investigations will include developing proofs of concepts in Python, the development of a testing suite of user questions, and evaluating different implementations against this testing suite. You will present the results of these investigations within the team and within the larger IPAC community to those interested in adopting these strategies. Your day-to-day activities will include coding in Python, interacting with scientists and software engineers, reading and writing technical documentation, assessing quantitative and qualitative performance of models, and summarizing and presenting findings. Basic Qualifications Bachelor's or equivalent degree in a technical subject such as Astronomy, Physics, Math, Computer Science, Computer Engineering, Information Sciences, or a related field. Experience with large language models (LLMs). Fluency in Python. Strong communication and writing skills. Preferred Qualifications Experience with astronomical data sets is advantageous, but not required. Experience with APIs (Application Programming Interfaces) is advantageous, but not required. Required Documents Resume listing relevant experience and qualifications. Cover letter describing your interest in and fit for the position. The expected start date for this role is mid-March 2026. This is a full-time, one-year term position. The application deadline is February 2, 2026. Life at IPAC People choose to work at IPAC for many reasons, and the casual, employee-centric culture often leads to fulfilling, long-term careers and positive relationships. Caltech's benefits program offers a quality, competitive benefits package that is affordable for you and the Institute. We also offer a 403(b) defined contribution plan to eligible staff as well as a Voluntary Retirement Savings (TDA) Plan. IPAC staff have access to the Institute's facilities, including the athletic center, libraries, on-site daycare, professional development and enrichment classes, and Athenaeum club membership.

**School of Medicine, Stanford, California, United States** Research Post Date Jan 08, 2026 Requisition # 107985 **Note: This position has been deemed critical by the School of Medicine and is exempt from the hiring freeze.** **School/Unit Information** Stanford University School of Medicine is world-renowned for leading-edge education, research, patient care, and medical advancements. The Department of Educational Programs and Services (EPS) is home to departments and programs that are central to the educational mission of the Stanford University School of Medicine. We serve all populations of students and trainees who participate in the School's programs: Stanford MD, MS, MSPA, and PhD students; visiting MD students seeking clinical clerkships; postdoctoral scholars and medical fellows; and medical practitioners seeking further professional enrichment. Our goal is to provide a Stanford School of Medicine experience worthy of our students' and trainees' talents, aspirations, and dedication. **Department Information** The Stanford Medicine Postbaccalaureate (Postbac) Program at Stanford University School of Medicine is dedicated to training a new generation of leaders in Science, Technology, Engineering, Math and Medicine (STEMM). This program supports participants in pursuing a variety of basic, translational, and clinical research interests, and supports the preparation for careers in science and medicine. **Job Purpose** The Stanford Medicine Postbac Program seeks skilled and motivated Life Science Research Professionals 1 (LSRP) to work under general guidance from the Primary Investigator and senior lab members to a broad array of biomedical sciences and report to the Postbac Program Director. Performance of technical procedures, interpretation of results, recognition of irregularities, and recommendations for modification of techniques and approaches will be an essential part of this role. The LSRP may assist in training new staff and students on techniques as necessary, as well as assisting with duties such as ordering supplies, maintaining lab records, and adhering to all Stanford safety regulations. As part of the Stanford Medicine Postbac program, the LSRP will also participate in academic, professional, and community development activities. The LSRP must be self-motivated, technically adept, accurate, efficient, organized and keep detailed records. The ability to work under tight deadlines with general guidance is essential. The LSRP must also have basic computer skills (including but not limited to Microsoft Word, Excel and Powerpoint). In addition, the LSRP must have excellent communication skills with the ability to work independently as well as in a team. _This is a one-year fixed-term position._ This position will be based on-site on the Stanford campus. This refers primarily to the Stanford School of Medicine campus but may include satellite locations such as Stanford Redwood City, Veterans Affairs Palo Alto Health Care System, Stanford Blood Center or others. **Core Duties** ● Plan and perform experiments in support of research projects in lab and/or field based on knowledge of scientific theory. Interpret and perform basic analyses of results. ● Review literature on an ongoing basis to remain current with new procedures and related research. ● Offer suggestions regarding modifications to procedures and protocols in collaboration with senior lab members. ● Maintain detailed records of experiments and outcomes. ● Contribute to publication of findings as needed. Participate in the preparation of written documents, including procedures, presentations, and proposals. ● Help with general lab maintenance as needed; maintain lab stock, manage chemical inventory and safety records, and provide general lab support as needed. ● Help orient and train new staff or students. ● Other duties may also be assigned. **Education & Experience (Required)** Bachelor's degree in related scientific field. **Knowledge, Skills and Abilities (Required)** + General understanding of scientific principles. Demonstrated performance to use knowledge and skills when needed. + Demonstrated ability to apply theoretical knowledge of science principals to problem solve work. + Ability to maintain detailed records of experiments and outcomes. + General computer skills and ability to learn and master computer programs, databases, and scientific applications. + Ability to work under deadlines with general guidance. + Excellent organizational skills and demonstrated ability to accurately complete detailed work. **Desired Qualifications** If Bachelor's degree is in a non-scientific field, a post-baccalaureate degree must be in a related scientific field. **Physical Requirements** + Frequently stand, walk, twist, bend, stoop, squat, grasp lightly, use fine manipulation, grasp forcefully, perform desk-based computer tasks, use telephone, write by hand, lift, carry, push and pull objects weighing over 40 pounds. + Occasionally sit, kneel, crawl, reach and work above shoulders, sort and file paperwork or parts. + Rarely climb, scrub, sweep, mop, chop and mix or operate hand and foot controls. + Must have correctable vision to perform duties of the job. + Ability to bend, squat, kneel, stand, reach above shoulder level, and move on hard surfaces for up to eight hours. + Ability to lift heavy objects weighing up to 50 pounds. + Ability to work in a dusty, dirty, and odorous environment. + Position may require repetitive motion. **Working Conditions** + May require working in close proximity to blood borne pathogens. + May require work in an environment where animals are used for teaching and research. + Position may at times require the employee to work with or be in areas where hazardous materials and/or infectious diseases are present. + Employee must perform tasks that require the use of personal protective equipment, such as safety glasses and shoes, protective clothing and gloves, and possibly a respirator. + May require extended or unusual work hours based on research requirements and business needs. **Working Standards** + Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. + Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. + Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide,******************************* _The expected pay range for this position is_ _$34.00 per hour._ _Stanford University provides pay ranges representing its good faith estimate of the salary or hourly wage the university reasonably expects to pay for a position upon hire. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs._ _At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (_ _***************************************************** _) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process._ **Why Stanford is for You** Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: + **Freedom to grow.** We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. + **A caring culture.** We provide superb retirement plans, generous time-off, and family care resources. + **A healthier you.** Climb our rock wall or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. + **Discovery and fun.** Stroll through historic sculptures, trails, and museums. + **Enviable resources.** Enjoy free commuter programs, ridesharing incentives, discounts and more! We pride ourselves in being a culture that encourages and empowers you. _The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned._ _Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a_ _contact form_ _._ _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._ _Please note: Visa sponsorship is not available for this position. All candidates must be eligible to work and live in the U.S._ Additional Information + **Schedule: Full-time** + **Job Code: 4943** + **Employee Status: Fixed-Term** + **Grade: E** + **Requisition ID: 107985** + **Work Arrangement : On Site**

**Graduate School of Education, Stanford, California, United States** Academic Post Date Oct 24, 2025 Requisition # 107629 The **Stanford Graduate School of Education (GSE)** is dedicated to solving education's greatest challenges. Through rigorous research, model training programs and partnerships with educators worldwide, we're pursuing equitable, accessible and effective learning for all. The Educational Opportunity Project (EOP), housed within the GSE, is dedicated to measuring educational opportunity in every community in America and has built the most comprehensive national database of academic performance in the U.S., based on over 500 million test scores.We hope that researchers will use the data to generate evidence about what policies and contexts are most effective at increasing educational opportunity, and that such evidence will inform educational policy and practices. Please visitedopportunity.orgfor more information about our work and team. Position Summary: The Educational Opportunity Project (EOP), housed in the Graduate School of Education, is seeking a Research Scholar to support new work developing and analyzing a novel database of kindergarten readiness assessment data. The Research Scholar will work closely with the Executive and Faculty Directors of the EOP to develop code to clean, organize, and harmonize data from large longitudinal education datasets; to implement statistical estimation methods; and to analyze data for research publications. This position requires independent work as well as collaboration with the EOP team. Significant experience using Stata, a strong statistical background, and careful attention to detail is critical for this role. The initial appointment will be 1-year fixed term, with renewal contingent on performance and project needs. Candidates must be eligible to work in the US. Visa sponsorship is not available for this position. _The_ _expected_ _pay_ _range_ _for_ _this_ _position_ _is_ **_$93,000 to $148,000_** _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._ Core Duties: + Extract and clean data from a variety of sources, including state departments of education and the federal government, and maintain its accuracy and completeness. + Build replicable and efficient software code for data cleaning and estimation. + Create documentation for all code and analyses. + Perform complex statistical analyses and develop graphs and tables for publication and presentation. + Conceptualize and draft research papers + Collaborate with other EOP researchers and collaborators. QUALIFICATIONS / MINIMUM REQUIREMENTS: + PhD in Education, Sociology, Statistics, or a related field. + Experience and interest in conducting research on educational opportunity and equity. + High-level statistical and quantitative data analysis skills spanning educational measurement, statistical analysis, and research design. + Content expertise in education policy, sociology of education, economics of education, and/or related fields. + Experience working independently with large datasets. + Demonstrated collaboration, communication, and writing skills. Physical requirements: + Constantly perform desk-based computer tasks. + Frequent sitting. + Occasionally stand/walk, reach/work above shoulders, grasp lightly/fine manipulation, grasp forcefully, use a telephone, sort/file paperwork or parts, lift/carry/push/pull objects that weigh up to 10 pounds. + Rarely twist/bend/stoop/squat, kneel/crawl. WORK STANDARDS: + Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. + Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. + Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, ******************************* WHY STANFORD IS FOR YOU Stanford's dedicated 16,000+ staff, who come from diverse educational and career backgrounds. We are a collaborative environment that thrives on innovation and continuous improvement. At Stanford, we seek talent committed to excellence, driven to impact the future of our legacy, and improve lives on a global scale. We provide market competitive salaries, excellent health care and retirement plans, and a generous vacation policy, including additional time off during our winter closure. Our unique perks align with what matters to you: + Freedom to grow. As one of the greatest intellectual hubs in the world, take advantage of development programs, tuition reimbursement plus $800 you receive annually towards skill-building classes, or audit a Stanford course. Join a TedTalk, film screening, or listen to a renowned author or leader discuss global issues. + A caring culture. We understand the importance of your personal and family time and provide you access to wellness programs, child-care resources, parent education and consultation, elder care and caregiving support. + A healthier you. We make wellness a priority by providing access to world-class exercise facilities. Climb our rock wall, or participate in one of hundreds of health or fitness classes. + Discovery and fun. Stroll through historic sculptures, trails, and museums. Create an avatar and participate in virtual reality adventures or join one with fellow staff on Stanford vacations! + Enviable resources. We offer free commuter programs and ridesharing incentives. Enjoy discounts for computing, cell phones, outdoor recreation, travel, entertainment, and more. We pride ourselves in being a culture that encourages and empowers you. _The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned._ _Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at ************************. For all other inquiries, please submit a contact form._ _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._ Additional Information + **Schedule: Full-time** + **Job Code: 6784** + **Employee Status: Fixed-Term** + **Grade: R99** + **Requisition ID: 107629** + **Work Arrangement : Hybrid Eligible**

**School of Medicine, Stanford, California, United States** Research Post Date Mar 18, 2025 Requisition # 104521 The Division of Primary Care and Population Healthseeks to serve our community through caring, learning, and innovation for the whole person through all stages of live. While engaged in practice and teaching, our faculty are dedicated to establishing new knowledge as the basis for future practice and prevention, and to the greatest extent possible applying that knowledge to improve care for all and reduce health disparities. The research scholar will take a leadership role in Pascal Geldsetzer's research group, which is a "dry lab" focused on quantitative analyses of existing, and often publicly accessible, datasets. The group is currently focused on studying the causal effect of shingles vaccination on cognition (************************************************************************************************************************************************************************************************ In extensions of this work, the group is also interested in the effect of other vaccinations given in old age on dementia as well as the effect of infections on dementia. Key data sources for our projects are electronic health record data, epidemiological cohort studies, mortality data, and other large health-related administrative datasets. The researcher will be expected to publish in high-impact peer-reviewed journals. We are in particular looking for individuals with in-depth experience in econometric/quasi-experimental approaches for causal effect estimation (e.g., regression discontinuity and difference-in-differences). We are looking for someone to start as soon as possible but there is no specific deadline for the application - we hire on an ongoing basis. The initial appointment will be 1-year fixed term. The fixed-term may be renewed for additional years based on business needs. **CORE DUTIES:** + Carrying out data analyses + Supervising data analyses led by graduate students and postdoctoral fellows + Writing manuscripts for publication in scientific journals + Mentoring and advising junior researchers + Assisting with, and leading the writing of, grant applications for research funding + Communicating with research funders, data providers, and project administrative staff **EDUCATION & EXPERIENCE:** - Doctoral degree with quantitative training or research experience. - Training and experience in quasi-experimental techniques (regression discontinuity, difference-in-differences, interrupted time-series, etc.) - A background in health-related research is a plus but not required **KNOWLEDGE, SKILLS AND ABILITIES:** - Strong coding skills in R, Stata, or other statistical software package. - Strong writing and analytical skills. - Ability to prioritize workload. **This role is open to candidates anywhere in the United States. Stanford University hasfive Regional Pay Structures. The compensation for this position will be based on the location of the successful candidate. The expected pay range for this position is $93,000 to $148,000 per annum.** **Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.** **At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (***************************************************** provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.** **Why Stanford is for You** Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture andunique perksempower you with: + **Freedom to grow.** We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. + **A caring culture.** We provide superb retirement plans, generous time-off, and family care resources. + **A healthier you.** Climb our rock wall or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. + **Discovery and fun.** Stroll through historic sculptures, trails, and museums. + **Enviable resources.** Enjoy free commuter programs, ridesharing incentives, discounts and more. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting acontact form. 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. Additional Information + **Schedule: Full-time** + **Job Code: 6784** + **Employee Status: Fixed-Term** + **Grade: R99** + **Requisition ID: 104521** + **Work Arrangement : Remote Eligible**

Caltech is a world-renowned science and engineering institute that marshals some of the world's brightest minds and most innovative tools to address fundamental scientific questions. We thrive on finding and cultivating talented people who are passionate about what they do. Join us and be a part of the diverse Caltech community. Job Summary We seek a Research Scientist with expertise at the interface of machine learning, data science, and the chemical sciences to lead the AI for the Chemical Sciences Summer Bootcamp. This individual will design and deliver an intensive, hands-on educational program while working closely with CCE faculty and external experts. The Research Scientist will also support post-bootcamp research integration, enabling participants to apply AI/ML methods to active research projects across CCE. The role is central to building sustainable computational infrastructure, curriculum, and collaborative research pathways in AI-enabled chemistry. Essential Job Duties Lead the design, development, and delivery of a two-week immersive summer bootcamp on AI/ML for the chemical sciences. Develop and teach lectures and hands-on computational laboratories covering data curation, molecular representations, machine learning models, deep learning, generative models, and applications in reactions, catalysis, and spectroscopy. Coordinate with CCE faculty and invited guest lecturers to integrate domain expertise into the curriculum. Provide year-round mentorship and technical support to bootcamp participants as they transition AI/ML skills into active research projects within CCE laboratories. Develop and maintain computational workflows, datasets, and teaching materials for reuse and long-term integration into CCE training programs. Support interdisciplinary research collaborations that combine experimental and computational approaches. Contribute to the development or operation of shared automation or robotic experimentation platforms linked to AI-driven research. Publish and disseminate methodological or applied research outcomes arising from bootcamp-enabled projects. Assist with assessment, reporting, and continuous improvement of the bootcamp program. Participate in outreach, workshops, and related educational activities within CCE. Perform other related job duties as assigned. Basic Qualifications PhD in chemistry, chemical engineering, materials science, computer science, or a closely related field. Demonstrated expertise in machine learning and data science applied to problems in the chemical sciences. Experience developing and implementing computational workflows for chemical data analysis or modeling. Strong programming skills relevant to scientific computing and ML. Experience teaching, mentoring, or training students and researchers. Ability to work collaboratively with faculty, students, postdoctoral researchers, and administrative staff. Strong written and oral communication skills. High scientific rigor, creativity, and ethical standards. Excellent organizational and time management skills, with the ability to manage multiple responsibilities. Preferred Qualifications Experience applying ML to molecular property prediction, reactions, catalysis, or spectroscopy. Familiarity with deep learning architectures such as graph neural networks and generative models. Experience with ML-accelerated electronic structure methods, molecular dynamics, or spectral analysis. Experience with automation hardware or robotic platforms for chemical experimentation. Background in curriculum development or educational program leadership. Familiarity with best practices in data curation, model interpretability, and responsible AI use. Required Documents Resume

Caltech is a world-renowned science and engineering institute that marshals some of the world's brightest minds and most innovative tools to address fundamental scientific questions. We thrive on finding and cultivating talented people who are passionate about what they do. Join us and be a part of the diverse Caltech community. Job Summary Research Scientist Position - SPHEREx Cosmology (Caltech) The Caltech SPHEREx team is seeking a research scientist to contribute to the scientific analysis of data from the SPHEREx mission. The successful candidate will work closely with the SPHEREx Science Team and is expected to become a full member of the team by SPHEREx first major release, participating actively in the mission's core science programs. More information about SPHEREx can be found at **************** caltech. edu. Essential Job Duties The primary focus of the position is the development of high-level cosmological analyses necessary to extract scientific results from SPHEREx's spectroscopic galaxy catalog. This includes (as needed) methodological and theoretical development, as well as significant software implementation. Expertise in one or more of the following areas is especially valued: large-scale structure and clustering measurements, higher-order statistics, systematic error mitigation, cosmological simulations, and pipeline development and validation. The candidate will integrate and work closely with the SPHEREx team so good collaboration skills are important for this job. Basic Qualifications Ph. D. (or equivalent), or PhD in progress, in astrophysics, cosmology, or a related field. Preferred Qualifications Strong record of original research in large-scale structure or cosmology. Demonstrated experience in software development for scientific analysis. Required Documents Resume Cover Letter Reference letters should be sent to Nancy Rappard nrappard@caltech. edu with email title "SPHEREx Cosmology position"

Caltech is a world-renowned science and engineering institute that marshals some of the world's brightest minds and most innovative tools to address fundamental scientific questions. We thrive on finding and cultivating talented people who are passionate about what they do. Join us and be a part of the diverse Caltech community. Job Summary The selected candidate will contribute to a growing research program in Artificial Intelligence and Mathematics. Working under the guidance of senior researchers, the individual will help apply machine learning methods, with a focus on reinforcement learning, to mathematical problem solving. The role emphasizes hands-on experimentation, algorithmic exploration, and collaborative research, rather than independent program leadership. This position is well-suited for candidates in the early stages of their career. Essential Job Duties Conduct research using machine learning and reinforcement learning techniques to explore mathematical problem solving. Assist in the development, testing, and refinement of algorithms for mathematical reasoning. Collaborate closely with senior researchers and other team members to advance project objectives. Contribute to data collection, analysis, and the preparation of research results. Assist in drafting manuscripts for publication in scientific journals and preparing materials for conference presentations. Participate in group meetings, research discussions, and collaborative planning sessions. Basic Qualifications Master's degree Computer Science, Applied Mathematics, Mathematics, Statistics, Electrical Engineering, Physics, or a closely related field plus two years of relevant work experience. Experience with machine learning, especially reinforcement learning. Strong background in mathematical reasoning and problem-solving. Proven track record of research excellence demonstrated through publications and projects. Strong communication and collaboration skills. Preferred Qualifications PhD in Computer Science, Applied Mathematics, Mathematics, Statistics, Electrical Engineering, Physics, or a closely related field. Required Documents Resume.

Caltech is a world-renowned science and engineering institute that marshals some of the world's brightest minds and most innovative tools to address fundamental scientific questions. We thrive on finding and cultivating talented people who are passionate about what they do. Join us and be a part of the diverse Caltech community. Job Summary The selected candidate will play a pivotal role in leading a focused research program in Artificial Intelligence (AI) and Mathematics. The primary objective of this program is to harness machine learning tools, with a particular emphasis on reinforcement learning (RL), to tackle complex research-level mathematical problems and to innovate new algorithms for mathematical reasoning. Essential Job Duties Lead and manage research projects within the AI and Mathematics program. Apply machine learning and reinforcement learning techniques to solve advanced mathematical problems. Develop and implement new algorithms for mathematical reasoning. Collaborate with team members to advance the program's goals. Publish research findings in reputable scientific journals and present at conferences. Basic Qualifications Ph. D. in Mathematics, Computer Science, or a related field. Extensive experience with machine learning, especially reinforcement learning. Strong background in mathematical reasoning and problem-solving. Proven track record of research excellence demonstrated through publications and projects. Strong communication and collaboration skills. Required Documents Resume. Cover Letter.

The Laboratory of Jesse Engreitz (Dept of Genetics, BASE Initiative) is seeking a Research Scientist in CRISPR Genomics (Life Science Research Professional 3) to lead large-scale data production projects to understand the genetic basis of heart diseases. The Engreitz Laboatory is located in the Biomedical Innovations Building on the main campus at Stanford University and is a member of the BASE Initiative in the Betty Irene Moore Children's Heart Center. Project overview: DNA regulatory elements in the human genome, which harbor thousands of genetic risk variants for common and rare heart diseases and could reveal targets for therapeutics that aim to precisely tune cellular functions - if only we could map the complex regulatory wiring that connects 2 million regulatory elements with 21,000 genes, and genes with thousands of pathways across the diverse cell types in the human body. We have recently developed new approaches that could enable mapping this regulatory wiring at massive scale (see Fulco et al. Science 2016, Fulco et al. Nat Genet 2019, Nasser et al. Nature 2021, Gschwind et al. bio Rxiv 2023), and applied these and other approaches to understand the genetic basis of complex diseases (e.g., Schnitzler et al. Nature 2024). We aim to expand these studies to systematically map the functions of variants, enhancers, and genes in many cell types from the heart and vasculature. These studies will ultimately help to uncover biological mechanisms of congenital heart defects, coronary artery disease, and other heart diseases to help to guide diagnosis and therapeutic development. For information and recent work, see *************************** and *********************************** We are looking for a creative and passionate Research Scientist (PhD-level) to lead the next phase of our efforts to systematically perturb the genome to understand genome function and phenotype. The ideal candidate would lead independent projects, design and supervise large-scale CRISPR data generation projects, manage collaborations between the Engreitz Lab and NIH-led consortia, and play a leading role in writing publications and grants. The Engreitz Lab provides a dynamic, interdisciplinary workplace with unique access to cutting edge technologies and scientific thought, with the potential for widespread recognition of scientific contributions. We value a diversity of values, backgrounds, and approaches to solving problems. The candidate for this position should have hands-on experience in cellular genomics, molecular biology, and technology development; experience with quantitative data analysis and collaborating with interdisciplinary teams; curiosity in research and creativity in problem-solving; strong interpersonal and collaboration skills; experience building or managing teams; outstanding verbal and written communication abilities; ability to adapt to and effectively manage changes in a fast paced and dynamic environment; and have a passion for science and sense of urgency to find new medicines to benefit patients. In addition to submitting your application via the Stanford web portal, please email your CV and cover letter directly to Prof. Jesse Engreitz (*********************). This is a 2-Year Fixed-Term position, with extension possible. Duties include: * Make fundamental discoveries about gene regulation and the genetics of cardiovascular disease * Together with PI and other lab members, design and execute scientific projects * Collect comprehensive perturbation datasets to inform genome function and enable training predictive models * Develop and apply strategies to study enhancers and genes in human cells and mouse models * Evaluate and recommend new emerging technologies, approaches, and problems * Supervise, train, and collaborate with other lab members in experimental techniques, scientific design, and other skills * Design and lead independent projects * Collaborate with a team of experimentalists and computational biologists * Create scientifically rigorous visualizations, communications, and presentations of results * Contribute to generation of protocols, publications, and intellectual property * - Other duties may also be assigned. Grade: H FTE: 100% DESIRED QUALIFICATIONS: * Ph.D. in Genetics, Biology, Biochemistry, Biophysics, Bioengineering, Developmental Biology, or related life science field is preferred. Highly motivated candidates of all levels are encouraged to apply. * Expert in genomics, molecular biology, assay development, and high-throughput data generation * Experience with quantitative data analysis * Experience with CRISPR targeting ES/iPS cells and/or single-cell technologies a plus * Experience in multidisciplinary collaborations, management, and/or supervision * Curiosity in research and creativity in problem-solving * A great team member with strong interpersonal and collaboration skills * Outstanding verbal and written communication abilities * Ability to adapt to and effectively manage changes in a fast paced and dynamic environment * A passion for science and sense of urgency to find new medicines to benefit patients EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree in related scientific field and four years of relevant work experience; or Master's degree in a related scientific field and two years relevant experience; or PhD in related science field. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): * Comprehensive understanding of scientific principles. * Expert level knowledge and skills in field of science related to research project. * General computer skills and experience with databases and scientific applications * Strong analytical skills and excellent judgment. * Ability to work under deadlines with general guidance is essential. * Excellent organizational skills and demonstrated ability to complete detailed work accurately. * Developing project management skills. CERTIFICATIONS & LICENSES: None. PHYSICAL REQUIREMENTS*: * Frequently stand, walk, twist, bend, stoop, squat, grasp lightly, use fine manipulation, grasp forcefully, perform desk-based computer tasks, use telephone, write by hand, lift, carry, push and pull objects weighing over 40 pounds. * Occasionally sit, kneel, crawl, reach and work above shoulders, sort and file paperwork or parts. * Rarely climb, scrub, sweep, mop, chop and mix or operate hand and foot controls. * Must have correctible vision to perform duties of the job. * Ability to bend, squat, kneel, stand, reach above shoulder level, and move on hard surfaces for up to eight hours. * Ability to lift heavy objects weighing up to 50 pounds. * Position may require repetitive motion. * - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: * May require working in close proximity to blood borne pathogens. * May require work in an environment where animals are used for teaching and research. * Position may at times require the employee to work with or be in areas where hazardous materials and/or infectious diseases are present. * Employee must perform tasks that require the use of personal protective equipment, such as safety glasses and shoes, protective clothing and gloves, and possibly a respirator. * May require extended or unusual work hours based on research requirements and business needs. WORK STANDARDS (from JDL): * Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. * Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. * Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, ******************************* The expected pay range for this position is $93,062 to $111,670 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (***************************************************** provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at ************************. For all other inquiries, please submit a contact form. 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. Additional Information * Schedule: Full-time * Job Code: 4953 * Employee Status: Fixed-Term * Grade: H * Requisition ID: 107333 * Work Arrangement : On Site

This will be a 2-year fixed-term position with a possibility for extension based on performance, the availability of funding and programmatic needs. From benchtop research to international programs, the Department of Surgery delivers exceptional patient care, provides outstanding undergraduate and graduate education, and advances the field of surgery through innovative basic science and clinical research. Our department is a high-performing team of dedicated faculty and staff, committed to setting ambitious goals that foster collaboration and drive growth in education, research, clinical training, and innovation-elevating the profile of Stanford Surgery and advancing our mission worldwide. The laboratory of Dr. Sheri Krams at Stanford School of Medicine (Department of Surgery, Division of Abdominal Transplantation) is recruiting a Basic Life Research Scientist to study core mechanisms of immune recognition and regulation in clinically relevant settings. Our work dissects the cellular and molecular pathways that shape immune responses to alloantigen and Epstein-Barr virus (EBV), with a growing focus on how extracellular vesicles mediate intercellular communication and modulate immune function in transplantation and viral immunity-linking fundamental immune circuitry to the biology underlying transplant-associated immune complications. A major emphasis of the lab is defining the diversity, regulation, and functional specialization of natural killer (NK) cells in response to allografts and xenografts. This is an opportunity to join a collaborative program that blends discovery-driven immunology with access to human samples and disease context, enabling mechanistic insights with clear potential to inform future therapeutic strategies. CORE DUTIES: The candidate should have experience, in or be willing to learn, CyTOF, sequencing-including NGS and RNA-Seq, and bioinformatics. The candidate must be quick to learn new techniques and be able to modify and adapt standard protocols. The candidate should be organized, display good judgment, have excellent communication skills and be a team player. The candidate will be expected to write and contribute to research protocols, manuscripts and grants. The candidate will also be responsible for supervising, training, and mentoring graduate students, postdoctoral fellows, undergraduate students, medical students, clinical fellows, and visiting scientists and participate in collaborations with other research groups. QUALIFICATIONS/MINIMUM REQUIREMENTS: * Ph.D. and/or M.D. degree, and at least 5 years of postdoctoral experience. * Strong record of productivity and publications. * Course work and/or published research in Immunology. * Must be self-motivated, adaptable, and able to work with minimal direction. * Strong organizational, collaborative, and time management skills. * Strong ability to write and communicate effectively. * Excellent written and oral skills with experience writing medical education research papers. * Ability to work independently and part of the departments and medical school's medical education research teams. The expected pay range for this position is $92,235 to $110,000 per annum. Stanford University provides pay ranges representing its good faith estimate of the salary or hourly wage the university reasonably expects to pay for a position upon hire. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (***************************************************** provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form. 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. Additional Information * Schedule: Full-time * Job Code: 5574 * Employee Status: Fixed-Term * Grade: R99 * Requisition ID: 107983 * Work Arrangement : On Site

**School of Humanities and Sciences, Stanford, California, United States** Research Post Date Feb 27, 2025 Requisition # 106065 TheSchool of Humanities and Sciences (H&S)is the foundation of a liberal arts education at Stanford. The school encompasses 24 departments and 24 interdisciplinary programs. H&S is home to fundamental and applied research, where free, open, and critical inquiry is pursued across disciplines. As the university's largest school, H&S serves as the foundation of a Stanford undergraduate education no matter which discipline students pursue as a major. Graduate students work alongside world-renowned faculty to pursue and shape foundational research that leads to breakthroughs and discoveries that shed new light on the past, influence the present, and shape the future. Together, faculty and students in H&S engage in inspirational teaching, learning, and research every day. The Communication Department is home to the world's leading scholars studying political communication. The area focuses on how communication and media affect political attitudes and behaviors, as well as what communication reveals about the workings of political institutions and political systems. The area is also known for its innovation in research methods and focus on scientific inference.************************* Position Summary: The Department of Communication is seeking Physicist: Research Scientist. A physicist is sought for an interdisciplinary study of observer effects as it relates to the quantum measurement problem. The study will be a comprehensive assessment of observer effects in wave function collapse but will uniquely include psychological perspectives and methods in the development of research designs. The primary investigator will be a psychologist and the study will be conducted within the Institute for Research in Social Sciences at Stanford University. The position will require that the researcher have a strong background in experimental methods, necessary to execute the Tonomura double slit design (using a BBO crystal) and the Mach-Zehnder interferometer design. A strong background in the quantum measurement problem would be desirable. The project will begin with a comprehensive review of the literature-both theoretical and experimental-on variables influencing wave function collapse and developing a plan for replicating or testing a wide range of them. It will then develop and apply methods for assessing and controlling variables related to observation, drawing on ideas from psychology as well as quantum physics. Data will be analyzed, and results will be published in peer reviewed outlets. The researcher will devote 80% of their time to the research project. The other 20% can be devoted to other research interests and taking advantage of other opportunities at Stanford University. This is a 100%FTE, 1 year fixed-term position with the possibility of renewal. This position will be based on the Stanford campus and will be considered for an option of telecommuting (hybrid of working on-site and off-site), subject to operational need. If you believe that this opportunity is a match for your knowledge, skills and abilities, we encourage you to apply. Thank you for considering employment opportunities with the School of Humanities and Sciences. PhD in empirical physics is preferred. A successful candidate will have a PhD in empirical physics, experience, collecting data in laboratory settings, conducting analysis of empirical data, experience reviewing published literature in physics and writing manuscripts reporting empirical results, and carrying papers through the revision and publication process. This on-site role is open to candidates anywhere in the United States. Stanford University hasfive Regional Pay Structures. The compensation for this position will be based on the location of the successful candidate. The expected pay range for this position is $70,000 to $99,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (***************************************************** provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for You Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: ● Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. ● A caring culture. We provide superb retirement plans, generous time-off, and family care resources. ● A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. ● Discovery and fun. Stroll through historic sculptures, trails, and museums. ● Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more The job duties listed are typical examples of work performed by positions in this job classifications and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicantsrequiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at ************************. For all other inquiries, please submit acontact form. 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. Additional Information + **Schedule: Full-time** + **Job Code: 6280** + **Employee Status: Fixed-Term** + **Grade: R99** + **Requisition ID: 106065** + **Work Arrangement : On Site**

**School of Medicine, Stanford, California, United States** Research Post Date Jul 08, 2025 Requisition # 105129 Stanford Radiation Oncology is committed to fostering a diverse community in which all individuals are welcomed, respected, and supported to achieve their full potential. Our goals are to foster diversity and inclusion in the Department of Radiation Oncology by providing department-level infrastructure for inclusion and serving as a resource for communication of SOM and SHC policies. The job posting will be posted on the PI's website, HERC and also on the lab's social media to advertise to a large number of candidates. The Department of Radiation Oncology mission is to bring the most advanced care to our patients by being at the cutting edge of research and technology. Using the most state-of-the-art imaging systems and radiation delivery platforms in the world, our highly integrated team of physicians, physicists, dosimetrists, nurses, and radiation therapists share a commitment to provide exceptional and compassionate care for patients. The Ross Laboratory at Stanford University is seeking a Basic Life Research Scientist. The Ross Lab is led by Jason Ross, MD, PhD, and is situated within the Stanford University School of Medicine's Department of Radiation Oncology. The laboratory studies normal and malignant stem cells in the context of aging and cancer. The Research Scientist will make original scientific contributions and design and execute projects to investigate normal and malignant stem cells. This position offers the opportunity to work closely with the principal investigator, lab members, and collaborators in an interactive, supportive, and inclusive lab environment. The Research Scientist will be responsible for leading scientific projects, including design and execution of experiments, and analysis and presentation of data. In addition, the individual will assist other laboratory members with the design and execution of their experiments and will work alongside the PI to serve as a mentor to junior lab members. The individual will also participate in the training and development of students and post-doctoral fellows. The individual will ensure the efficient operations of the lab, including maximizing the budget, ensuring appropriate care of major equipment, and addressing regulatory and administrative requirements. The Research Scientist will write scientific sections of grant applications and progress reports. The individual will report to and work closely with the PI in these activities and responsibilities. This position is for a 1 year fixed-term, with the possibility of renewal based on funding, performance, and operational needs. **Core duties include and responsibilities include*:** + Molecular cloning. + RNA purification. + RNA sequencing. + Cell culture. + Mouse handling. + Flow-cytometry analysis and sorting. + Microscopy, protocol optimization. + Novel assay development. + Attendance at weekly lab meetings. + Participation in the training of postdoctoral fellows, graduate students, and research assistants. + To contribute to multiple projects and to make scientific and written contributions to progress reports, grant applications, and manuscripts. + To oversee operations of the lab, including an efficient budget, appropriate care of equipment, and maintaining regulatory and administrative requirements. _*Other duties may also be assigned._ **Qualifications (REQUIRED):** + Ph.D. in stem cell biology, cancer biology, immunology, or related field. + Post-doctoral experience is preferred in stem cell biology, cancer biology, immunology, or related field is desired. + Extensive experience with molecular biology, mouse handling and procedures, flow-cytometry analysis and cell sorting, mammalian cell culture, RNA-sequencing, and microscopy. + Experience in genetic manipulation of cells (e.g., CRISPR) is desired. + Additional experience in computational biology is welcome. + Ability to independently design and troubleshoot experiments. + Excellent communication and organization skills. + Ability to work both independently and collaboratively. + Working knowledge of Microsoft Office, Adobe Illustrator, GraphPad Prism, R, and other. The expected pay range for this position is $74,000 to $86,000 per annum. Stanford University provides pay ranges representing its good faith estimate of the salary or hourly wage the university reasonably expects to pay for a position upon hire. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (***************************************************** provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting acontact form. 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. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Additional Information + **Schedule: Full-time** + **Job Code: 5574** + **Employee Status: Fixed-Term** + **Grade: R99** + **Requisition ID: 105129** + **Work Arrangement : On Site**

**School of Medicine, Stanford, California, United States** Research Post Date Nov 07, 2025 Requisition # 107698 The Yang Lab in the Department of Microbiology & Immunology at Stanford University School of Medicine is currently recruiting for an experienced virologist to join our lab as a Basic Life Science Research Scientist and work with a team of medicinal chemists, virologists, and structural biologists in developing prototype drugs to combat chronic viral infection. As a member of our research team, the Research Scientist will make original scientific contributions including (1) evaluation of small molecules in biochemical, cell biological, and virological assays; (2) characterization of small molecule mechanisms of action; (3) development of novel assays for evaluating and optimizing compounds with induced proximity mechanisms of action. The Research Scientist will write scientific sections of grant applications and progress reports and mentor/supervise junior members of the research team. This is a 1-year fixed term appointment with the possibility of reappointment contingent upon funding and operational needs. **Required Qualifications:** Ph.D. in virology, cell or molecular biology, or biochemistry plus at least 2 years of postdoctoral training that includes prior experience with molecular virology of gammaherpesviruses or retroviruses, including molecular biology and reverse genetics; replication and reactivation assays; cell line generation and optimization. Knowledge of EBV biology and EBV-associated cancers or HIV virology is essential, as is the ability to manage your own research and contribute ideas for new directions and funding opportunities. Ability to identify and pilot the appropriate approaches to answer experimental questions/problems and to independently design experiments to advance projects are required. Excellent quantitative and communication skills and ability to collaborate are essential. The successful candidate will have strong oral/written communication skills, strong accuracy and attention to detail, and the ability to manage multiple projects and priorities to achieve desired goals. Knowledge and skill in applying quantitative methods to biological problems and experiments. Experience managing and mentoring junior scientists in the laboratory is highly desired. Computer literacy with emphasis on Windows operating systems and software applications; working knowledge of Microsoft Office, Adobe Photoshop, Adobe Illustrator, Graphpad Prism, and other quantitative analysis programs. Most important is that you thrive working in a collaborative and fast-paced environment and that you are willing to learn and evolve as a scientist. **The expected pay range for this position is $ 77,124 to $ 84,000 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._ _At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (_ _***************************************************** _) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process._ _Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a_ _contact form_ _._ _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._ _The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned._ Additional Information + **Schedule: Full-time** + **Job Code: 5574** + **Employee Status: Fixed-Term** + **Grade: R99** + **Requisition ID: 107698** + **Work Arrangement : On Site**

The Yang Lab in the Department of Microbiology & Immunology at Stanford University School of Medicine is currently recruiting for an experienced virologist to join our lab as a Basic Life Science Research Scientist and work with a team of medicinal chemists, virologists, and structural biologists in developing prototype drugs to combat chronic viral infection. As a member of our research team, the Research Scientist will make original scientific contributions including (1) evaluation of small molecules in biochemical, cell biological, and virological assays; (2) characterization of small molecule mechanisms of action; (3) development of novel assays for evaluating and optimizing compounds with induced proximity mechanisms of action. The Research Scientist will write scientific sections of grant applications and progress reports and mentor/supervise junior members of the research team. This is a 1-year fixed term appointment with the possibility of reappointment contingent upon funding and operational needs. Required Qualifications: Ph.D. in virology, cell or molecular biology, or biochemistry plus at least 2 years of postdoctoral training that includes prior experience with molecular virology of gammaherpesviruses or retroviruses, including molecular biology and reverse genetics; replication and reactivation assays; cell line generation and optimization. Knowledge of EBV biology and EBV-associated cancers or HIV virology is essential, as is the ability to manage your own research and contribute ideas for new directions and funding opportunities. Ability to identify and pilot the appropriate approaches to answer experimental questions/problems and to independently design experiments to advance projects are required. Excellent quantitative and communication skills and ability to collaborate are essential. The successful candidate will have strong oral/written communication skills, strong accuracy and attention to detail, and the ability to manage multiple projects and priorities to achieve desired goals. Knowledge and skill in applying quantitative methods to biological problems and experiments. Experience managing and mentoring junior scientists in the laboratory is highly desired. Computer literacy with emphasis on Windows operating systems and software applications; working knowledge of Microsoft Office, Adobe Photoshop, Adobe Illustrator, Graphpad Prism, and other quantitative analysis programs. Most important is that you thrive working in a collaborative and fast-paced environment and that you are willing to learn and evolve as a scientist. The expected pay range for this position is $ 77,124 to $ 84,000 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. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (***************************************************** provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form. 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. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Additional Information * Schedule: Full-time * Job Code: 5574 * Employee Status: Fixed-Term * Grade: R99 * Requisition ID: 107698 * Work Arrangement : On Site

Caltech is a world-renowned science and engineering institute that marshals some of the world's brightest minds and most innovative tools to address fundamental scientific questions. We thrive on finding and cultivating talented people who are passionate about what they do. Join us and be a part of the diverse Caltech community. Job Summary IPAC ( ************ ipac. caltech. edu/ ), part of the Physics, Math, and Astronomy Division at Caltech ( www. caltech. edu ), provides science operations, user support, data and archive services, and scientific vision to enhance discovery with observatories both in space and on the ground. IPAC invites applications from highly qualified individuals for a full-time scientist position to work with the NASA/IPAC Extragalactic Database (NED). The mission of NED ( *********** ipac. caltech. edu ) is to accelerate science discovery in astrophysics within NASA's strategic plan by providing a census of extragalactic objects augmented with data joined from across the electromagnetic spectrum for use by the research and lay communities worldwide with access through computer query protocols and user-friendly interfaces. NED provides data for more than 1. 1 billion objects and is growing rapidly. NED merges data from published literature and from catalogs, with spectral coverage from gamma rays through radio frequencies. NED also offers a Gravitational Wave Followup ( GWF ) service to facilitate searches for electromagnetic counterparts to gravitational wave events. This service is based on a curated Local Volume Sample of galaxies ( Cook et al 2023 ). This is an immediate opening for a scientist who is excited by the prospect of helping to identify, design and implement new data science approaches and tools to enhance the efficiency and useability of NED, and exploring new extragalactic archive science enabled by NED. The primary responsibility of this position is to contribute to keeping the content of the database current and accurate, particularly in view of the rapidly growing volume of data in the astrophysics literature. Essential Job Duties As a NED scientist, you will: Apply NED's current methods for locating, extracting, transforming, and integrating data into the system. Work with scientists and engineers on the team to develop and apply new tools to accelerate the flow and fusion of data into NED. Perform science-based validation of NED data, including vetting the results of automated cross-matching software. Respond to user support requests related to the scientific content of NED. Help to design and validate NED services and interfaces to enable science use cases for NED data. Conduct research, including archival research exploiting NED's content and data synthesis. Basic Qualifications PhD in astronomy, physics, computer science or a related field. Two years of post-PhD experience in astronomy. Knowledge of astronomical coordinate systems, nomenclature, astrometry, photometry, galaxy classifications, and observational techniques. Demonstrated experience in at least one stage of the production or validation, or analysis of astronomical data sets. Experience in computer programming. Familiarity in methodology used in astronomy and data science. Preferred Qualifications These are a set of skills and experiences which will add to your ability to contribute to the roles and responsibilities of the position. The following attributes would make you a better fit for this position, but even if these do not describe you or your experience, we would still like to hear from you: Two years or more experience in computer programming as a research astronomer or data scientist. Peer-reviewed publications in areas of extragalactic astronomy that are synergistic with the functional work on NED. Experience with Machine Learning or Artificial Intelligence. Proficiency in Python, working experience of Astropy. Experience manipulating large, diverse and complex data sets. Experience with large databases. Required Documents Full resume or CV. Cover letter. List of three professional references. Complete applications submitted by February 28, 2026 will receive full consideration, but review of applications will continue until a suitable candidate has been identified. Life at IPAC People choose to work at IPAC for many reasons, and the casual, employee-centric culture often leads to fulfilling, long-term careers and lasting relationships. Caltech's benefits program offers a quality, competitive benefits package that is affordable for you and the Institute. The program provides a strong base of coverage for you and your dependents, and the ability to choose the plan and the level of coverage that best meet your needs. We also offer a 403(b) defined contribution plan to eligible staff as well as a Voluntary Retirement Savings (TDA) Plan. IPAC staff have access to the Institute's facilities, including the athletic center, libraries, on-site daycare, professional development and enrichment classes, and Athenaeum club membership.

**School of Medicine, Stanford, California, United States** Information Technology Services Post Date Jul 14, 2025 Requisition # 106847 The Pritchard lab in the Genetics Department at Stanford University is seeking a Staff Scientist (Software Developer 2) to conceptualize, develop, supervise, and implement novel computational approaches for genomics. The successful applicant must have experience in the main areas of application - functional or single cell genomics and/or statistical genetics -- as well as strong experience in modern computational statistics and machine learning. This position will be on-site. The successful applicant will have broad responsibility for providing technical direction on multiple projects conducted by the lab as well as leading projects of their own. They will contribute to all phases of project development including conceptualization, design and implementation of algorithms, computational analysis of genomic and other omics data, simulations and testing of code, and preparation of scientific manuscripts and revisions. Strong communication skills (speaking and writing) are essential. The work will require innovative programming and analysis skills with an emphasis on algorithmic development for machine learning and/or statistical computing. Mentoring trainees on technical aspects of their project will be an essential part of this job. Duties include: + Propose, conceptualize, design, implement, and develop solutions for difficult and complex applications independently. + Supervise and mentor PhD students and postdocs, as necessary, working on all phases of research projects. + Engage in long-term strategic planning. + Troubleshoot and resolve complex technical problems. + Lead projects, as necessary, for special systems and application development in areas of complex problems. + Contribute to manuscript preparation and revisions as lead- or co-author. + Contribute to grant preparation. + Participate in scientific meetings and journal clubs. * - Other duties may also be assigned. DESIRED QUALIFICATIONS: The successful candidate must have a proven track record of developing state-of-the-art computational methods for data analysis, going all the way from conceptualization and theoretical development to implementation, testing, data analysis, and manuscript preparation. They must have outstanding technical skills in machine learning and/or statistical methods with experience in developing new approaches. They must have training and research experience (preferably at postdoctoral level) in at least one of the following areas of application: functional genomics, single cell genomics, statistical genetics. EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree and five years of relevant experience, or a combination of education and relevant experience. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): + Expertise in designing, developing, testing, and deploying applications. + Proficiency with application design and data modeling. + Ability to define and solve logical problems for highly technical applications. + Effective communication skills with both technical and non-technical clients. + Ability to lead activities on structured team development projects. + Ability to select, adapt, and effectively use a variety of programming methods. + Knowledge of application domain. CERTIFICATIONS & LICENSES: None. PHYSICAL REQUIREMENTS*: + Constantly perform desk-based computer tasks. + Frequently sit, grasp lightly/fine manipulation. + Occasionally stand/walk, writing by hand. + Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds. * - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: + May work extended hours, evening and weekends. + The successful candidate will work in-person daily on the Stanford University campus. The expected pay range for this position is $131,992 to $160,555 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (***************************************************** provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form. 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. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. WORK STANDARDS (from JDL): + Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. + Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. + Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide,******************************* Additional Information + **Schedule: Full-time** + **Job Code: 4822** + **Employee Status: Regular** + **Grade: J** + **Department URL:** ********************************* + **Requisition ID: 106847** + **Work Arrangement : On Site**

SCHOOL/UNIT DESCRIPTION: Anchored in the Wu Tsai Neurosciences Institute and the Office of the Dean of Research, the new Knight Initiative in Brain Resilience is a cross-disciplinary scientific endeavor aimed at addressing neurodegeneration, aging and brain resilience. Diseases and associated issues of cognitive decline like Alzheimer's, Parkinson's, dementia, and related ailments are increasing with our rapidly aging global population. Stanford seeks to advance a new era of brain science focused on accelerating the fundamental understanding of the aging brain, both the biological causes of neurodegeneration and how to increase brain resilience throughout the lifespan. Our community ranges broadly, consisting of esteemed alumni, world class faculty and students, dynamic staff and administrators and include some of the world's most successful leaders in neuroscience. In realizing our mission, our staff are critical to supporting our organization's goals and enabling Stanford faculty and students to accomplish its mission conducting cutting-edge research with the objective of formulating innovative solutions to brain-aging, disease, neurodegeneration, dementia and resilience. POSITION SUMMARY: The Knight Initiative for Brain Resilience is seeking a Life Sciences Professional 2 to perform various functions and activities involved in research projects dedicated to brain aging and resilience. This position will be responsible for planning and executing genomics and multi-omics experiments, analyzing data, and interpreting results in support of ongoing research projects. The individual in this role will specialize in genomics, liquid handling, and sequencing, and will be expected to take ownership of their assigned portion of the research and make recommendations on experimental design and/or research direction to the principal investigator as needed. This position will also be responsible for developing new research protocols where appropriate protocols are not described in the literature or where modification or adaptation of standard procedures and protocols is required. The individual will work in a multidisciplinary team, to develop new research protocols that lead to new knowledge or understanding, and to communicate the results of the research to both scientific and non-scientific audiences. This position involves overseeing the daily activities of the laboratory including lab maintenance, maintaining lab stock, managing chemical inventory and safety records, and providing general lab support as needed. The Life Sciences Professional 2 may assist with purchasing laboratory equipment and modifying or adapting laboratory equipment and/or developing new instruments to meet the needs of the research projects. This position is a two-year fixed-term appointment, with possibility of renewal based on programmatic need and funding availability, with a primary work site on Stanford University's main campus. CORE DUTIES: * Independently conduct a portion of the research project(s). Make recommendations on experimental design and/or research direction to principal investigator. * Independently conduct complex (lab and/or field) experiments to gather data for a portion of a major research project. * Interpret and analyze results, often where few guidelines exist, and make modifications to existing procedures and protocols. * Develop new research protocols where appropriate protocols are not described in the literature or where modification or adaptation of standard procedures and protocols is required. * Participate in multidisciplinary teams across different faculties or schools. * Perform ongoing literature review to remain current with new procedures and related research; apply to ongoing research and development of new protocols. * Contribute substantively to the preparation of papers for publication, especially in the results section, and to publication of findings. Present ongoing work to colleagues and/or academic conferences. * Oversee supply and equipment budget under supervision of principal investigator or business manager. * Work with health and safety department to ensure lab complies with regulations and all required trainings. * Supervise (either formally or informally) staff or students as needed, including oversight and direction on techniques, as well as consultation on project work. Serve as a technical resource for other research staff. * Oversee the daily activities of the laboratory including lab maintenance; maintain lab stock, manage chemical inventory and safety records, and provide general lab support as needed. May assist with purchasing laboratory equipment. MINIMUM REQUIREMENTS: Education & Experience: Bachelor's degree in related scientific field and two years of relevant work experience; or Master's degree in a related scientific field. Knowledge, Skills and Abilities: * Comprehensive understanding of scientific principles. * General computer skills and ability to quickly learn and master computer programs, databases, and scientific applications. * Strong analytical skills and excellent judgment. * Ability to maintain detailed records of experiments and outcomes. * Ability to work under deadlines with general guidance is essential. * Excellent organizational skills and demonstrated ability to accurately complete detailed work. * Experience with various genomics and sequencing techniques such as PCR, qPCR, NGS, etc * Ability to operate and maintain equipment used in liquid handling, genomics and NGS experiments PREFERRED QUALIFICATIONS: * A Master's Degree (recommended) in Biology, Bioengineering, Genomics or related field. * 3+ years of experience in a research lab setting with a focus on genomics, liquid handling, and sequencing * Strong analytical skills and experience with data analysis software and statistical techniques * Excellent attention to detail and the ability to keep accurate and organized records * Strong communication and teamwork skills * Ability to work independently and as part of a team PHYSICAL REQUIREMENTS*: * Frequently grasp lightly/fine manipulation, perform desk-based computer tasks, lift/carry/push/pull objects that weigh up to 10 pounds. * Frequently stand/walk, sit, twist/bend/stoop/squat, grasp forcefully. * Rarely kneel/crawl, climb (ladders, scaffolds, or other). * - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of the job. WORKING CONDITIONS: * May work extended or non-standard hours based on project or business needs. Occasional local travel may be required. WORK STANDARDS: * Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. * Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. * Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, ******************************* The expected pay range for this position is $85,376 to $99,581 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on a wide range of factors that are unique to each candidate including but not limited to geographic location, knowledge, skills and abilities, relevant education, depth and breadth of experience, performance; as well as other business and organization needs such as (but not limited to) the scope and responsibilities of the position, the minimum qualifications, departmental budget availability, and market and internal equity across the unit, department and reporting relationships. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (***************************************************** provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for You Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: * Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. * A caring culture. We provide superb retirement plans, generous time-off, and family care resources. * A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. * Discovery and fun. Stroll through historic sculptures, trails, and museums. * Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more! The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form. 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. Additional Information * Schedule: Full-time * Job Code: 4952 * Employee Status: Fixed-Term * Grade: G * Requisition ID: 107917 * Work Arrangement : On Site