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 cause 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.* - Other duties may also be assignedDESIRED 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 biologyEDUCATION & 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 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.Additional Information* Schedule: Full-time* Job Code: 4751* Employee Status: Regular* Grade: G* Requisition ID: 103654* Work Arrangement : On Site

Data Analyst 2- Hybrid and/or RemoteSchool of Humanities and Sciences, Stanford, California, United StatesInformation AnalyticsPost Date Jun 21, 2024Requisition # 103700TheSchool 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.Website:http://journalism.stanford.edu/andhttps://biglocalnews.orgCORE DUTIES*: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.Design and customize reports based upon data in the database.Create non-routine databases and their related information summary; develop algorithms and statistical model; 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.Other duties may also be assignedIf 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. **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 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 $ 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 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. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at stanfordelr@stanford.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.Additional InformationSchedule: Part-timeJob Code: 4745Employee Status: Fixed-TermGrade: IRequisition ID: 103700Work Arrangement : Hybrid Eligible, Remote Eligible

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 3 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 whole genome/exome sequencing, RNA-seq, ATAC-seq, single cell, and circulating tumor DNA (ctDNA) data. 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, computational genomicist to join a dynamic team with significant opportunities for scholarship and leadership.Duties include:* Lead and own organization-wide data initiatives (e.g. models, frameworks, platforms, dashboards).* Supervise, coach and mentor a high-performing team of analysts.* Identify, leverage and partner with external firms.* Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness.* Determine additional data collection and reporting requirements. Design and customize reports based upon data in the database. Oversee and monitor regulatory compliance for utilization of the data.* Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others.* Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation.* Test prototype software and participate in approval and release process for new software.* Provide documentation based on audit and reporting criteria to investigators and research staff.* Work with lab members to analyze biomedical data and address scientific problems with bioinformatics techniques* Design, develop, and operate computational pipelines for the analysis of sequencing data.* Install, maintain, evaluate third party software packages.* Manage and archive large data sets from next-generation sequencing experiments.* Maintain detailed records of all analyses.* Present results and progress updates at lab meetings and make presentations to experimental and scientific collaborators.* Attend seminars, lectures, and training courses to learn new bioinformatic skills and remain up to date with the cancer genomics field.* - Other duties may also be assignedDESIRED QUALIFICATIONS:* Bachelor's degree (or higher) in Bioinformatics, Computer Science or a related field with two years of relevant experience* PhD in bioinformatics-related field* 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* Expertise in bioinformatics, computational genomics, evolutionary biology, accompanied by a relevant publication record.* Proficiency with high performance computing and multiple programming languages (C, Python, R).* Experience with high-throughput genome sequence data (WES, WGS, RNA-seq, ATAC-seq)* A background in evolutionary biology and familiarity with phylogenetics techniques.* Experience with high-performance computing, database management.EDUCATION & EXPERIENCE (REQUIRED):Bachelor's degree and five years or more 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 (REQUIRED):* Ability to direct the work of others, for jobs requiring supervision.* Relevant subject matter knowledge.* Substantial experience with MS Office and analytical programs.* Excellent writing and analytical skills.* Ability to prioritize workload.PHYSICAL REQUIREMENTS*:* Sitting in place at 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 $132,369-$160,981 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.Additional Information* Schedule: Full-time* Job Code: 4753* Employee Status: Regular* Grade: K* Department URL: http://cancer.stanford.edu/* Requisition ID: 103653* Work Arrangement : On Site

The Center for Dissemination and Implementation (CDI), within the Department of Psychiatry and Behavioral Sciences, consists of three national centers and numerous addiction and mental health services implementation projects at national, health system, state, county and community levels. CDI’s mission is to advance the science of implementation and improve equitable access to the best treatments available for the people who need them the most. This position is an excellent opportunity to advance skills in research and scholarship, join a friendly and productive team, and contribute to the greater good of public health. Candidates are sought for an immediate start.
The Research Data Analyst 1 (RDA 1) will manage and analyze large amounts of information, under the direction of investigators and researchers. The RDA 1 will be primarily responsible for database creation, management and data analysis and will be expected to complete the following: manage, clean, analyze data sets, prepare written reports for investigators, communicate and write results in an understandable and effective manner.
We are looking for a motivated, reliable, detail-oriented, and responsible individual who will perform well in a collaborative setting by demonstrating initiative, being responsive to requests made by investigators, and showing competence in multi-project management. The candidate will have an array of opportunities to enrich his/her research experience and publications through collaborations with investigators in the department who have expertise in areas such as implementation science, substance use, and mental health.
Excellent communication skills and fluency in SPSS/STATA and/or R is required, and proficiency with database management (e.g. Redcap) and data visualization software is highly desired. Individuals with some experience in building websites or in developing R/R Shiny tools will have more diverse opportunities. Knowledge of Python is a plus.
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 cause 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.
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.
* - Other duties may also be assigned
DESIRED QUALIFICATIONS:
M.S. Degree in Statistics, Epidemiology, Biostatistics, Bioinformatics or related field with 3+ years of experience
Experience and proficiency using R, STATA, SPSS, or Python
Experience with data visualization software
Experience in applying statistical analysis methods, such as linear regression and longitudinal data analysis amongst others
Ability to multi-task various projects with different timelines
Ability to collaborate with senior investigators
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
High level of self-motivation and ability to work independently
Resourcefulness, careful attention to detail, and strong organizational skills
High tolerance for ambiguity, demonstrated flexibility, and a willingness to accept new responsibilities.
PHYSICAL REQUIREMENTS*:
Sitting in place at 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 - $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.

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Research Data Analyst (2-year fixed term)  Stanford University is seeking a Research Data Analyst 2 to manage and analyze large amounts of information, typically technical or scientific in nature, independently with minimal supervision.
The Lee Lab at Stanford University uses interdisciplinary approaches from molecular biology, medical imaging, signal processing, and genetics to analyze and manipulate preclinical systems-level brain circuits. Our ultimate goal is to understand the connectivity and function of these circuits to drive innovation of new therapies for neurological diseases.
We are seeking a data management specialist who will organize and document large sets of (primarily MR imaging) data and relevant metadata. An important task will be to curate, organize, and document a large number of past archived MRI datasets which will be used for future analysis. The ideal candidate will be collaborative, organized, and able to multitask.
Duties include:
Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness.
Determine additional data collection and reporting requirements.
Design and customize reports based upon data in the database. Oversee and monitor regulatory compliance for utilization of the data.
Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others.
Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation.
Serve as a resource for non-routine inquiries such as requests for statistics or surveys.
Test prototype software and participate in approval and release process for new software.
Provide documentation based on audit and reporting criteria to investigators and research staff.
DESIRED QUALIFICATIONS:
Minimum 2 years research data management experience preferable.
EDUCATION & EXPERIENCE (REQUIRED):
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 (REQUIRED):
Substantial experience with MS Office and analytical programs.
Excellent writing and analytical skills.
Ability to prioritize workload.
PHYSICAL REQUIREMENTS:
Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.
Occasionally use a telephone.
Rarely writing by hand.
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.
The expected pay range for this position is $86,000 to $126,000 per annum.
Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position...
At Stanford University, base pay represents only one aspect of the comprehensive rewards package...
Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities...
Stanford is an equal employment opportunity and affirmative action employer...
The job duties listed are typical examples of work performed by positions in this job classification...

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The Computational Neuroscience Laboratory (cns.stanford.edu) at Stanford University is seeking a Research Data Analyst 1 (2 year fixed term) to clean, process, and analyze neuroscience data (with a focus on brain MRIs). The Analyst will work on streamlining data collection and processing pipelines, which require experience in Python and Linux shell scripting. The Analyst will be responsible for day-to-day management of information workflow, which includes administrating REDCap instances, quality controlling data, and communicating data issues to collaborators. Initially, the person is supporting the current system Scalable Informatics for Biomedical Imaging Studies (sibis.sri.com), while exploring ways to ensure future scalability, stability, and integrity of data storage using enhanced informatics tools and secure web-based technologies. The Analyst will need to work within the central computational infrastructure of the lab, which includes a common development environment deployed on Linux servers, using web-based issue trackers, documenting procedures and scripts on lab internal wiki pages, creating and deploying unit tests, and submitting scripts to central, version controlled repositories. The ability to handle multiple projects and superior communication skills are central to this role, which includes timely and clear responses to inquiries by lab members and collaborators.
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 cause 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.
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:
Experience with pipeline management toolchain (e.g. CMAKE, Snakemake, Airflow, Kubernetes) and environment/containerization systems (conda, Docker, Singularity).
Experience in using a HPCC environment is desirable.
At least 1 year experience in programming in Python and shell scripting within UNIX/Linux is required.
Experience with git.
Experience with data management systems, such as REDCap (using MySQL) or XNAT (using PostgreSQL).
Experience using the above languages and working within UNIX/Linux.
Bachelor’s degree with coursework/work experience in information science, data management, statistics, or associated field as applied to cognitive, clinical, and neuroimaging data, combined with the technical and interpersonal skills required for day-to-day management of information workflow.
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 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.
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 - $106,256 annual salary.
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.

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Research Data Analyst 3, S-SPIRE (U.S. - Flexible Work Location)   The following position will have the flexibility to be based anywhere in the United States.
The Department of Surgery at Stanford University is collaborating with the Palo Alto VA. The Research Data Analyst 3 will support this new collaboration initiative. Our interdisciplinary team includes VA and Stanford economists, health services researchers, and clinical and research faculty with expertise in health economics, econometrics, bioinformatics, implementation science, and quantitative methodologies. The research and data analysis projects will focus on estimating the causal impact of policies and programs in VA to improve the care and well-being of Veterans.
We are seeking a Research Data Analyst 3 to manipulate relational databases to create, manage and analyze large datasets for high-quality research projects designed to evaluate VA programs and policies. The data analyst will work with minimal supervision under the direction of the project Principal Investigator. We are looking for candidates highly proficient in SAS and SQL with extensive experience working with relational databases. Candidates should have experience importing, transforming, cleaning, merging, editing data and conducting extensive quality/accuracy checks to ensure high-quality datasets.
Candidates must have excellent critical thinking skills, attention to detail, and demonstrated communication skills. We are looking for candidates who are self-starters and can work independently.
Duties include:
Collect, manage, and clean large health care datasets using SQL and/or SAS.
Routinely construct analytic files using relational databases.
Conduct statistical analyses in Stata, R, or Python.
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 researchers and for publication and presentation.
Collaborate with faculty and research staff on data collection, and analysis methods. Support publication of manuscripts.
Develop algorithms and sample code for organization-wide use. Create documentation of best practices based on lessons learned.
Supervise, coach and mentor junior analysts as needed.
Serve as a resource for occasional non-routine inquiries related to data and statistical analyses.
* - Other duties may also be assigned.
DESIRED QUALIFICATIONS:
Master’s degree or higher is a plus.
Relevant experience in statistics, biostatistics, engineering, mathematics, data science, or a similar quantitative field.
Highly proficient in SQL with experience manipulating large, complex datasets.
Prior experience manipulating and merging large, complex data (n>10,000,000 records).
Extensive experience and comfort working with relational databases.
Extensive experience importing, transforming, cleaning, merging, and editing data and with quality/accuracy measures.
Must be intellectually curious, have strong problem-solving skills, critical thinking skills, and attention to detail.
Ability to work independently with minimal supervision, with effective communication skills.
Experience with additional programming languages such as Stata, R, or Python for data analysis is a plus.
Prior research experience using causal inference models, such as regression discontinuity, difference in differences, and instrumental variables, is a plus.
Prior experience with Veterans Health Data in the VA Corporate Data Warehouse is a plus.
Prior experience with medical claims and billing data is a plus.
Prior experience working with health care administrative data or similarly complex data is a plus.
Substantial experience with SQL and/or SAS.
EDUCATION & EXPERIENCE (REQUIRED):
Bachelor's degree and five 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 (REQUIRED):
Ability to direct the work of others, for jobs requiring supervision.
Relevant subject matter knowledge.
Substantial experience with MS Office and analytical programs.
Excellent writing and analytical skills.
Ability to prioritize workload.
PHYSICAL REQUIREMENTS*:
Sitting in place at 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.
This 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 $132,369 to $160,981 per annum (within 10 Bay Area counties) or $91,609 to $141,317 per annum (all other regions).
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.
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.
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.

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Stanford University is seeking a Research Data Analyst 1 to manage and analyze large amounts of information, typically technical or scientific in nature, under the direction of project researchers, investigators, or managers.
Duties include:
Collect, manage and clean datasets.
Employ existing tools to interpret, analyze, and visualize multivariate relationships in data.
Create databases and reports, and perform basic statistical analyses appropriate to data and reporting requirements.
Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause 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 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.
* - Other duties may also be assigned.
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 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:
Work will be performed in an office 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.
The expected pay range for this position is $64,480 to $97,000 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.
Additional Information
Schedule: Full-time
Job Code: 4751
Employee Status: Regular
Grade: G
Requisition ID: 100728
Work Arrangement: On Site

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