Prepare for and practice interview questions from Stanford University.

Stanford University Interview Questions

Stanford University Interview Guides

Let’s say that your company is running a standard control and variant AB test on a feature to increase conversion rates on the landing page. The PM checks the results and finds a .04 p-value.

How would you assess the validity of the result?

Experiment Validity

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

What is a key disadvantage of the F-test when compared to multiple t-tests?

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

In an A/B test, how can you check if assignment to the various buckets was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

Random Bucketing

Stanford University Salaries by Position

The Stanford Cyclotron and Radiochemistry Facility (CRF) generates clinically approved and novel radiotracers to advance early detection and treatment of diseases, ultimately improving human health. The Research Scientist will be involved directly with the development and execution of clinical and preclinical research goals/activities of CRF. The candidate will work under the direction of the facility manager with respect to the department's radiochemistry program needs, including routine and novel radiotracer development, production, troubleshooting, and prioritization/facilitation of clinical radiotracer translation.Stanford University is an equal opportunity employer and is committed to increasing the diversity of its faculty and academic staff. It welcomes nominations of and applications from women and members of minority groups, as well as others who would bring additional dimensions to the University's research, teaching and clinical missions.As an organization that receives federal funding, Stanford University has a COVID-19 vaccination requirement that will apply to all university employees, including those working remotely in the United States and applicable subcontractors. To learn more about COVID policies and guidelines for Stanford University Staff, please visit https://cardinalatwork.stanford.edu/working-stanford/covid-19/interim-policies/covid-19-surveillance-testing-policyQUALIFICATIONS* KNOWLEDGE: Describe the technical or business knowledge required or desired to complete the job's primary responsibilities.REQUIRED:* Ph.D. degree or equivalent in radiochemistry or a related scientific field (e.g., chemistry) in addition to three years of relevant experience.* Comprehensive understanding of radiochemistry with a focus on 18F/11C or radiometal radiolabeling strategies and troubleshooting.* Sets up, operates, maintains, cleans, and calibrates automated and semi-automated radiopharmaceutical manufacturing and quality control equipment* Extensive experience with radiotracer quality control techniques, including High Performance Liquid Chromatography (HPLC), Thin Layer Chromatography (TLC), gas chromatography (GC), Radioactivity Detectors, endotoxin, etc.* Ability to follow established radiation safety procedures while developing and executing an approved radiochemistry production.* In collaboration with staff, provides data to support Chemical Manufacturing and Control (CMC) documents as part of IND (Investigational New Drug) submissions to the FDA (Food and Drug Administration)* General computer skills, experience with databases, cloud-based storage, and the ability to quickly learn/master various scientific computer programs (such as Chemstation, Tracerlab, Chromeleon etc.).* Ability to work independently and/or as part of a cross-functional team.DESIRED:* Expert level knowledge and hands on experience with operating, optimizing, and troubleshooting automated radiosynthesis platforms (prefer GE FX N and/or FX C series of automated modules).* Prior experience with cyclotron operation is preferred.* Prior experience with USP <823> or <825> Radiopharmaceutical Drug Production.* Supervisor experience, especially for training students for performing experiment.Additional Information* Schedule: Full-time* Job Code: 6280* Employee Status: Regular* Grade: R99* Department URL: http://radiology.stanford.edu/* Requisition ID: 92843

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 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 (https://cardinalatwork.stanford.edu/benefits-rewards) 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. 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

If you're ready to be part of our legacy of hope and innovation, we encourage you to take the first step and explore our current job openings. Your best is waiting to be discovered.This is a Stanford Health Care job.A Brief Overview The Technical Product Manager of Data Science Products will report to the Data Science Director to lead the development and implementation of innovative data and AI products for our healthcare system. This role requires a unique blend of technical expertise, product vision, and a passion for improving healthcare through data-driven solutions. You will collaborate closely with cross-functional teams, including data scientists, engineers, clinicians, and researchers, to deliver cutting-edge products that address critical needs within our academic medical center. This role is in a new team supporting Stanford Medicine's inaugural Chief Data Scientist in building Stanford Health Care's (SHC) solutions that incorporate Artificial Intelligence (AI) to improve patient care, medical research, and administrative services. This team was created to bring AI, predictive algorithms and other emerging machine learning (ML) based innovations in data science into healthcare and will partner closely with individuals across clinical specialties and operations areas to deploy algorithms that lead to better patient outcomes.Locations Stanford Health CareWhat you will do<ul><li>Define and execute the product vision and roadmap for data and AI products, aligning technical capabilities with the strategic objectives of the medical center.</li><li>Collaborate closely with engineering teams to ensure the technical feasibility and scalability of products.</li><li>Prioritize user needs based on user research, market trends, and SHC business objectives.</li><li>Define product requirements, user flows, and success metrics.</li><li>Lead the product development lifecycle, including planning, execution, and delivery of new features and products. This involves:</li><li>Developing and maintaining a product roadmap.</li><li>Managing the product backlog.</li><li>Facilitating sprint planning progress.</li><li>Managing product releases and collecting user feedback.</li><li>Generate detailed product requirement documents that include different jobs to be done throughout the data lifecycle, including thinking through data ingestion, data governance, and data delivery.</li><li>Effectively communicate project status, progress, and outcomes to stakeholders.</li><li>Drive product adoption and iteration, monitoring product performance, gathering feedback, and identifying opportunities for improvement.</li></ul>Education Qualifications<ul><li>Bachelor's degree in Computer Science, Data Science, Engineering, or a related field, or equivalent combination of education and experience.</li></ul>Experience Qualifications<ul><li>7+ years of experience as a technical product or program manager, product owner, solutions architect, or similar role, preferably in a data science or analytics environment.</li><li>Strong technical background, including knowledge of data science methodologies, tools, and technologies (e.g., Python, R, SQL, Machine Learning frameworks).</li><li>Experience working with cloud platforms (e.g., Azure, GCP, AWS).</li></ul>Required Knowledge, Skills and Abilities<ul><li>Strong leadership and management skills, with the ability to provide guidance and support to a team of engineers.</li><li>Excellent communication, interpersonal, problem-solving, and analytical skills.</li><li>Knowledge and understanding of healthcare informatics related technologies and standards.</li><li>Proven ability to manage complex projects with multiple stakeholders and competing priorities.</li></ul>Preferred Knowledge, Skills and Abilities<ul><li>Advanced degree in a relevant field, such as data science, computer science, or healthcare management.</li><li>Experience with scientific research and analysis tools like Jupyter, RStudio, VSCode.</li><li>Experience delivering products and machine learning models using cloud-native services like BigQuery, Dataproc, Redshift, Sagemaker, and Synapse.</li><li>Developing products in regulated environments, particularly healthcare.</li><li>Machine learning, model development, MLOps, and deep learning frameworks (e.g., TensorFlow or PyTorch).</li><li>Working with electronic health record data.</li><li>Familiarity with Data Visualization tools and techniques.</li><li>Experience in Healthcare, health research, life sciences, or similar industries.</li></ul>Physical Demands and Work ConditionsBlood Borne Pathogens<ul><li>Category II - Tasks that involve NO exposure to blood, body fluids or tissues, but employment may require performing unplanned Category I tasks.</li></ul>These principles apply to ALL employees:SHC Commitment to Providing an Exceptional Patient & Family ExperienceStanford Health Care sets a high standard for delivering value and an exceptional experience for our patients and families. Candidates for employment and existing employees must adopt and execute C-I-CARE standards for all of patients, families and towards each other. C-I-CARE is the foundation of Stanford’s patient-experience and represents a framework for patient-centered interactions. Simply put, we do what it takes to enable and empower patients and families to focus on health, healing and recovery.You will do this by executing against our three experience pillars, from the patient and family’s perspective:<ul><li>Know Me: Anticipate my needs and status to deliver effective care.</li><li>Show Me the Way: Guide and prompt my actions to arrive at better outcomes and better health.</li><li>Coordinate for Me: Own the complexity of my care through coordination.</li></ul>Equal Opportunity Employer Stanford Health Care (SHC) strongly values diversity and is committed to equal opportunity and non-discrimination in all of its policies and practices, including the area of employment. Accordingly, SHC does not discriminate against any person on the basis of race, color, sex, sexual orientation or gender identity and/or expression, religion, age, national or ethnic origin, political beliefs, marital status, medical condition, genetic information, veteran status, or disability, or the perception of any of the above. People of all genders, members of all racial and ethnic groups, people with disabilities, and veterans are encouraged to apply. Qualified applicants with criminal convictions will be considered after an individualized assessment of the conviction and the job requirements.Base Pay Scale: Generally starting at $76.90 - $101.91 per hour. The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, specialty and training. This pay scale is not a promise of a particular wage.
#J-18808-Ljbffr

If you're ready to be part of our legacy of hope and innovation, we encourage you to take the first step and explore our current job openings. Your best is waiting to be discovered.This is a Stanford Health Care job. A Brief OverviewThe Data Architect will provide leadership and own the blueprint for Stanford Health Care and School of Medicine data management and Analytics. An ideal candidate is someone who has lived in the data world both cloud and on-prem and has a breadth of experience in all types of data stores – relational, image, object etc. Experience with both transactional and warehouse data is required. Healthcare experience would be ideal. The individual should have a point of view and speak to data architectures with authority and back it up with detailed technical knowledge and experience. The Architect should have experience in AI and machine learning systems. The role will include analyzing and proposing architectures for data related projects, data and analytics platform management as well as data interoperability across SHC and external entities. The candidate should be knowledgeable of data standards, regulations, privacy and security implications in a regulated industry. LocationsStanford Health Care What you will do<ul><li>Influence information strategy: Partner with business unit leadership, and through the rationalization of the information value chain, provide strategic recommendations to maximize the value of information assets via their creation, access, and use.</li><li>Maximize value derived from data and analytics: Foster value creation using the organization's data assets, as well as the external data ecosystem. This includes aiding value creation through data exploitation, envisioning data-enabled strategies, and enabling all forms of business outcomes through analytics, data and analytics governance, and enterprise information policy.</li><li>Surface information priority: Assess the benefits and risks of information by using tools such as business capability models to create an information-centric view to visualize what information matters most to the organization based on the defined business strategy.</li><li>Enhance decision making: Use tools such as business information models to provide the organization with a future-state view of the information landscape that is unencumbered by the specific data implementation details imposed by proprietary solutions or technologies.</li><li>Enable effective data and analytics governance: Suggest who can take what actions with what information, and under what circumstances. Assist data and analytics leaders, and business and IT leadership in developing information governance processes and structures.</li><li>Conduct business information modeling: Create and manage business information models in all their forms, including conceptual models, relational database designs, message models, and others.</li><li>Manage risk: Aid the definition of data classifications and data zoning to allow information assets to be immediately identified and proactively managed as more information becomes federated in a digital economy.</li><li>Enable enterprise information management: Ensure that the architecture is used as a lens and a filter to identify, prioritize, and execute the data and analytic initiatives with clear line of sight to enterprise strategies and business outcomes.</li><li>Secure data and analytic assets: Aid in the analysis of data and analytics security requirements and solutions, and work with the chief information security officer (CISO) [and CDAO] to ensure that enterprise data and analytics assets are treated as protected assets.</li><li>Improve EIM performance: Aid efforts to improve business performance through enterprise information solutions and capabilities, such as master data management (MDM), meta data management, analytics, content management, data integration, and related information management or information infrastructure components.</li></ul> Education Qualifications<ul><li>Bachelor's Degree in Computer and Information Science Required</li><li>Master's Degree in Computer and Information Science Preferred</li></ul> Experience Qualifications<ul><li>A minimum of 12+ years of experience in IT, majority in information system design. Required</li><li>A minimum of 5 years as a Data Architect with progressively increasing responsibility. Required</li></ul> Required Knowledge, Skills and Abilities<ul><li>In-depth experience of designing and implementing information solutions.</li><li>Experience in architecture practice, tools, and methodologies.</li><li>Demonstrate the ability to work well with others and exhibit leadership.</li><li>Have a track record of remaining unbiased toward specific technologies or vendors.</li><li>Be an excellent communicator and collaborator, engaging with multiple technical and business stakeholders and leaders.</li><li>Ability to translate the information architecture contribution to business outcomes into simple briefings for use by various data-and-analytics-related roles.</li><li>Organizationally savvy, with a good understanding of the enterprise's political climate and how to navigate, influence, and persuade political waters.</li><li>Ability to communicate, influence, and persuade peers and leadership.</li><li>Ability to understand the long-term ('big picture') and short-term perspectives of situations.</li><li>Ability to quickly comprehend the functions and capabilities of new technologies.</li><li>Displays intellectual curiosity and integrity.</li></ul> Physical Demands and Work ConditionsBlood Borne Pathogens<ul><li>Category III - Tasks that involve NO exposure to blood, body fluids or tissues, and Category I tasks that are not a condition of employment</li></ul> These principles apply to ALL employees: SHC Commitment to Providing an Exceptional Patient & Family ExperienceStanford Health Care sets a high standard for delivering value and an exceptional experience for our patients and families. Candidates for employment and existing employees must adopt and execute C-I-CARE standards for all of patients, families and towards each other. C-I-CARE is the foundation of Stanford’s patient-experience and represents a framework for patient-centered interactions. Simply put, we do what it takes to enable and empower patients and families to focus on health, healing and recovery. You will do this by executing against our three experience pillars, from the patient and family’s perspective:<ul><li>Know Me: Anticipate my needs and status to deliver effective care</li><li>Show Me the Way: Guide and prompt my actions to arrive at better outcomes and better health</li><li>Coordinate for Me: Own the complexity of my care through coordination</li></ul> Equal Opportunity EmployerStanford Health Care (SHC) strongly values diversity and is committed to equal opportunity and non-discrimination in all of its policies and practices, including the area of employment. Accordingly, SHC does not discriminate against any person on the basis of race, color, sex, sexual orientation or gender identity and/or expression, religion, age, national or ethnic origin, political beliefs, marital status, medical condition, genetic information, veteran status, or disability, or the perception of any of the above. People of all genders, members of all racial and ethnic groups, people with disabilities, and veterans are encouraged to apply. Qualified applicants with criminal convictions will be considered after an individualized assessment of the conviction and the job requirements.Base Pay Scale: Generally starting at $91.60 - $121.38 per hourThe salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, specialty and training. This pay scale is not a promise of a particular wage.
#J-18808-Ljbffr

Data EngineerInstitutional Research & Decision Support, Stanford, California, United StatesNewInformation Technology ServicesPost Date 6 hours agoRequisition # 105443To be considered, please submit a resume and cover letter expressing what makes you interested in the position and how your skills and capabilities align with the job requirements along with your online application.Unit Description:Institutional Research & Decision Support (IR&DS) is the first-choice provider of timely, high-quality, accessible information and analysis for informed decision-making at Stanford. IR&DS analyzes and reports on data from all of Stanfords major administrative systems, including student, faculty, course, research, and financial data. IR&DS performs and facilitates complex analyses for university leadership, departments, and central offices, including collaborating with other universities to provide comparative data and proactively publishing dashboards and management reports.Under IR&DS, the Decision Support Services (DSS) team specializes in the creation of data collections from the major administrative systems at Stanford to aid data consumers in answering complex questions.Learn more about IR&DS athttps://irds.stanford.edu/aboutPosition Summary:As part of the Decision Support Services (DSS) team, the Data Engineer is a key member of the Decision Support Services (DSS) team working closely with analysts and other stakeholders to deliver high-quality data solutions. Reporting to the Associate Director of Decision Support Services with minimal supervision, this role will be tasked with designing, building, profiling, testing, implementing, and managing database environments and data collections for institutional reporting, assessment, administrative decision-making, and in support of the analytical needs of other colleagues at Stanford University. This role is expected to utilize a variety of data extraction and preparation techniques, as well as technologies, in creation of robust data pipelines, infrastructure, and data repositories that punctually integrate data from multiple data sources of varying formats, which include administrative systems covering student, faculty, and employment data. The ideal candidate will possess a combination of technical expertise, an analytical mindset, and a collaborative spirit.CORE DUTIES:Provide complex analysis, conceptualize, design, implement and develop solutions for critical data pipelines, databases, business intelligence applications, and other data-centric projects.Perform dataflow, system, and data analysis and develop meaningful and useful presentation of data in downstream applications.Plan and implement standards, define/code conformed global and reusable data objects, perform complex database design, data modeling, data mining, and data validation.Consult with client groups to assess user needs and understand the business processes; convert user requirements into technical solutions.Contribute to data analysis, design, and development of new and ongoing business intelligence (BI) projects involving enterprise data warehousing, data lakes, and custom data repositories.Collaborate closely with internal and external teams to understand and apply changes/modifications impacting data repositories.Conduct and participate in code walkthroughs and document technical design, lineage, data models, access control, and definitions. Assist in quality control testing and ensure data quality, accuracy, and consistency.Monitor ETL processes, system audits, dashboard reporting and presentation layer functioning and performance. Proactively resolve issues as found. Support the performance of systems.Follow the release cycles and implement on-time delivery of bug fixes, change requests, and enhancements. Troubleshoot and solve technical problems.Identify and assess potential data acquisitions.Execute solutions in a resource, time, and cost-efficient manner.Keep abreast of the latest developments in data engineering and business intelligence; explore and assess the use of new technologies for the office, such as cloud computing.Contribute to the overall process improvement and efficiency of the end-to-end data lifecycle starting from source systems to analytical end-products.Perform data analysis and reporting as needed for specific business intelligence or institutional research projects.MINIMUM REQUIREMENTS:Education & Experience:Bachelors degree and seven years of relevant experience in computer science, or engineering or a combination of education and relevant experience.Knowledge, Skills and Abilities:Strong proficiency in advanced SQL and experience working with relational databases, especially Oracle.Strong programming skills in Python for data management activities, like ETL, and analytics.Working knowledge of scripting languages, like shell, JavaScript, etc. for a variety of data-related tasks like orchestration, data cleansing, transformations, ingestion, and data visualization.Substantial experience designing and developing complex ETL pipelines extracting data from RDBMS and flat file sources like CSV, Excel, JSON, XML, etc.Mastery in business intelligence and data warehousing concepts and methodologies.Expertise in relational and dimensional data modeling and designing structured data repositories, like a data warehouse, from heterogeneous data sources, like various OLTP systems.Ability to design physical and reporting data models for seamless cross-functional and cross-systems data reporting.High expertise on data acquisition, retrieval, ETL strategies, and related tools and platforms like Informatica PowerCenter, IBM DataStage, and others.Expertise writing custom ETL programming for complex data processing, transformations, and enrichments using any programming language needed, like those mentioned above.Mastery in data reporting, analytics, and data visualization tools like OBIEE, Tableau, and PowerBI.Experience working with sensitive data and implementation of appropriate identity access management, governance, security, and privacy safeguards.Extensive experience in data analysis and root cause analysis with proven problem-solving and analytical-thinking capabilities.Understanding of software engineering principles, such as the software development lifecycle, and skills working on Unix/Linux/Windows operating systems, version control and Office software.Broad understanding of multiple existing and next generation data engineering and business intelligence tools and technologies.Ability to prioritize workload, manage multiple projects simultaneously, and work with minimal supervision while also working as part of a team.Good communication, both verbal and written, and collaboration skills along with experience working directly with analysts and data scientists.Ability to train analysts and developers on definitive tasks related to developed data sets and processes.Ability and desire to learn and adapt to new technologies.Preferred Qualifications:Experience in higher education in a similar role.Experience managing and utilizing cloud computing platforms and services for data solutions, such as AWS, Google Cloud, and/or Azure.Experience working with NoSQL databases and object storage for handling unstructured and semi-structured data.Experience programming in R. Scala, Java, and other languages used in data engineering and data science.Certifications and Licenses:NonePHYSICAL REQUIREMENTS*:Constantly perform desk-based computer tasks.Frequently sitting.Occasionally stand/walk.Rarely writing by hand; 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 the job.WORKING CONDITIONS:There may be occasions when it is necessary to accomplish work beyond the regularly scheduled workday.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 Universitys Administrative Guide, http://adminguide.stanford.edu.Why Stanford is for YouImagine 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 moreThe expected pay range for this position is $145,282 to $165,727 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 (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanfords 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.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 InformationSchedule: Full-timeJob Code: 4777Employee Status: RegularGrade: KRequisition ID: 105443Work Arrangement : Hybrid Eligible

The Das Lab in the Department of Biochemistry is seeking a PhD.-level, Basic Life Science Research Scientist with a passion for science and learning. This position is for a 3 year fixed-term, with a possibility of renewal. We are interested in develo Research Scientist, Research, Scientist, Chemistry, Technology

Responsibilities The Stanford Graduate School of Education is seeking a full-time Prospect and Data Analyst to provide exemplary prospect analysis, reporting, and data-management support for all GSE fundraising activities, donor relations and alumni engagement. As a key partner to the GSE's External Relations leadership, the Prospect and Data Analyst will provide forward-thinking and forward-looking data analysis and develop tools and metrics for assessing the success of our fundraising and alumni engagement efforts. This position is eligible for a hybrid work agreement in which the employee will be expected to work on Stanford's main campus 2-3 days a week, subject to HR operational need. Reporting to the Director of Advancement Services, the Prospect and Data Analyst is a key collaborator in gauging and enhancing the effectiveness of our school-wide fundraising and engagement endeavors. Typical responsibilities for this position encompass a wide range of data analysis and management, including extracting and manipulating data from Stanford's development databases and other pertinent sources, evaluating and illustrating data, and preparing reports for impactful presentations and strategic decision making. In close partnership with our gift officers, this team member will aid in the identification and prioritization of prospects for enhanced engagement and cultivation. Furthermore, they will work closely with data specialists in Stanford's Office of Development to inform and enhance data practices within GSE, and may represent the GSE ER team in various settings, including participation in the campus-wide data manager's collaborators group. This role also entails maintaining GSE's development data systems, ensuring data accuracy, and contributing to distributing donor portfolios, donor lists, and crafting metrics and tools to assess our success. Work under consultative or self-initiated direction to assess and produce relevant, standard, or custom information (reports, charts, graphs and tables) from structured data sources by querying data repositories and generating the associated information. Distribute and disseminate reports to applicable executive and internal constituencies including all field officers across the ER team. Create dashboards, reports, and other tools in consultation with senior managers to help the External Relations team meet fundraising, alumni relations, and other goals. Create non-routine data sets and their related information summary; perform statistical analyses appropriate to complex data and reporting requirements. Collaborate with other partner team staffs to standardize and systemize routine reports, dashboards, and reporting metrics. Devise methods for identifying data patterns, trends in available information sources using a variety of qualitative and quantitative techniques. Determine and recommend additional data collection and reporting requirements. Provide data oversight and project management for direct marketing, in partnership with client manager. Design and customize reports and presentation-ready analyses and visualization based upon data particularly from CARD, OBI and other sources using software tools including Excel and Tableau. Serve as a resource for non-routine data or prospect-based inquiries, tied to prospect identification or cultivation, or non-fundraising engagement. Lead the implementation of data standards and common data elements for data collection. May test prototype systems and participate in approval and release process for new systems and reports. Employees may also perform other duties as assigned. Qualifications We're seeking a resourceful and innovative problem solver who excels in a dynamic, fast-paced environment, making this role both challenging and rewarding. Bachelor's degree and three years of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as finance, statistics or engineering. Successful candidates will be required to complete a background check prior to working at Stanford University. Candidates must be eligible to work in the US. Benefits The expected pay range for this position is $102,000 - $120,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. We provide market competitive salaries, excellent health care and retirement plans, and a generous vacation policy, including additional time off during our winter closure. 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. We offer free commuter programs and ridesharing incentives. Enjoy discounts for computing, cell phones, outdoor recreation, travel, entertainment, and more. J-18808-Ljbffr

Situated in Stanford's highly dynamic research environment, the Curtis Laboratory ( http://med.stanford.edu/curtislab.html ), led by Christina Curtis, PhD, is seeking a bioinformatician/Research Data Analyst 1 to join the Cancer Computational and Systems Biology group. The Curtis Laboratory is administratively situated within the Stanford Cancer Institute and is integrated within Stanford University and the School of Medicine's Departments of Medicine (Oncology) and Genetics. The SCI is part of a Comprehensive National Cancer Institute Cancer Center for cross-disciplinary research in cancer biology involving researchers from oncology, radiobiology, computer science, genetics, statistics, and basic/translational clinical research. Our research couples state-of-the-art computational and experimental techniques to define novel therapeutic targets and biomarkers and to characterize tumor evolution.The successful candidate will be part of an interdisciplinary research team developing novel technological and methodological approaches to improve the diagnosis, treatment, and earlier detection of cancer. He/she will analyze and interpret large sequencing datasets by applying and developing bioinformatics and statistical methods for whole genome/exome sequencing, RNA-seq, ATAC-seq, single cell and spatial datasets. The successful candidate will interact closely with other computational and experimental biologists and clinicians to test, validate, and refine hypotheses. This is a fantastic opportunity for a motivated bioinformatician or computational genomicist to join a dynamic team with significant opportunities for scholarship.Duties include:Collect, manage, and clean datasets.Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data.Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements.Use system reports and analyses to identify potentially problematic data, make corrections, and determine root causes for data problems from input errors or inadequate field edits, and suggest possible solutions.Develop reports, charts, graphs, and tables for use by investigators and for publication and presentation.Analyze data processes in documentation.Collaborate with faculty and research staff on data collection and analysis methods.Provide documentation based on audit and reporting criteria to investigators and research staff.Communicate with government officials, grant agencies, and industry representatives.DESIRED QUALIFICATIONS:Bachelor's degree (or higher) in Bioinformatics, Computer Science, or a related field with one year (min) of relevant experience.Strong background in bioinformatics and biostatistics, including analysis of high-throughput sequencing data.Experience working within a UNIX/Linux environment.Fluency in programming languages such as Perl, Python, Java, R, C, Matlab; MySQL.Excellent communication and team skills and fluency in both spoken and written English.Familiarity with machine learning, information theory, and signal processing.Experience with algorithm development.Familiarity with basic molecular biology.Background in cancer biology.EDUCATION & EXPERIENCE (REQUIRED):Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics, or engineering.KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):Substantial experience with MS Office and analytical programs.Strong writing and analytical skills.Ability to prioritize workload.PHYSICAL REQUIREMENTS*:Sitting in place at a computer for long periods of time with extensive keyboarding/dexterity.Occasionally use a telephone.Rarely writing by hand.* - 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:Some work may be performed in a laboratory or field setting.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, http://adminguide.stanford.edu .The expected pay range for this position is $82,468 to $106,256 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 ( https://cardinalatwork.stanford.edu/benefits-rewards ) 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.#J-18808-Ljbffr

Code Architecture for GPU Computation Collaborate with Principal Investigators (P - Is) and research groups to architect and optimize GPU-accelerated pipelines. Develop innovative computational methodologies Co-author resulting research publications. Data Scientist, Research, Scientist, Computational, Technology, Education

The School 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 universitys 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. In the Department of Communication, we study the ways that communication techniques and technologies shape who we are, how we govern ourselves, and what kinds of cultures we inhabit. The Stanford Communication Department is searching for a 95% time Sr Data Analyst for the Journalism Program. This position will work under consultative or self-initiated direction to assess and produce relevant, standard, or custom information (reports, charts, graphs, and tables) from structured data sources by querying data repositories and generating the associated information. Distribute and disseminate reports to applicable agencies, researchers, management, and other internal end-users. This is a two-year fixed-term position with the possibility of renewal. This position will report to the Director of the Journalism Program. Responsibilities: Devise methods for identifying data patterns and trends in available information sources using a variety of qualitative and quantitative techniques. Determine and recommend additional data collection and reporting requirements. Design and customize reports based upon data in the database. Create non-routine databases and their related information summary; develop algorithms and statistical models; and perform statistical analyses appropriate to complex data and reporting requirements. Serve as a resource for non-routine inquiries such as requests for statistics or surveys. Lead the implementation of data standards and common data elements for data collection. Collaborate with technical staff to standardize and systemize routine reports, dashboards, and metrics. May test prototype software and participate in approval and release process for new software. Qualifications - External MINIMUM REQUIREMENTS: Education & Experience: Bachelor's degree and three years of relevant experience or combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics, or engineering. Knowledge, Skills and Abilities: In-depth knowledge and experience using and applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software. Expert ability to collect data using a variety of methods, such as data mining and hardcopy or electronic documentation study, to improve or expand databases. Basic statistical ability. Strong listening, verbal, and written communication skills. Ability to manage multiple activities in a deadline-oriented environment; highly organized, flexible, and rigorous attention to detail. Ability to use logic to calculate data; efficiently construct a database or scrutinize the form of a question. Ability to work with data of varying levels of quality and validity. Demonstrated ability to produce data in a clear and understandable manner meeting user requirements. Ability to work effectively with multiple internal and external customers. Ability to take a leadership role on projects and with users/clients. Certifications and Licenses Required: None PHYSICAL REQUIREMENTS: Constantly perform desk-based computer tasks. Frequently stand/walk, sit, use a telephone, and grasp lightly/fine manipulation. Occasionally grasp forcefully, writing by hand. Rarely sort/file paperwork; 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 the job. WORKING CONDITIONS: Occasional work on evenings and weekends. 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 Universitys Administrative Guide, http://adminguide.stanford.edu/ . This remote role is open to candidates anywhere in the United States. Stanford University has five 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 $105,000 to $139,000 per annum. The actual pay will be pro-rated based on the 95% FTE. 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 ( https://cardinalatwork.stanford.edu/benefits-rewards ) provides detailed information on Stanfords 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 at stanfordelrstanford.edu . 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. J-18808-Ljbffr

Stanford University Interview Questions

Stanford University Interview Guides

Stanford University Interview Questions

Stanford University Salaries by Position

Stanford University Opening Jobs