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15 jobs found

Today

Research Data Analyst I

UCSF Campus BU San Francisco, CA

San Francisco, CA

Today

$33 - $33/hr Full time Data Analysis Data Visualization Reporting and Analytics

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Job Description

Make an impact in kidney research at UCSF Campus BU. This onsite Research Data Analyst I role in San Francisco, CA supports ongoing investigation through data analysis, reporting, and clear communication of research findings. Work with a team grounded in a commitment to patients and advancing basic and clinical study in nephrology.

What you’ll do

Gather and analyze a wide variety of research data using established statistical methods.
Support research design by selecting data samples and analyzing collected information according to defined statistical approaches.
Prepare reports, charts, tables, and other visual aids that interpret and communicate data and results.
With guidance, gather and analyze data and develop reports, charts, and tables as appropriate.
Apply research professional knowledge of statistical and other analysis techniques to support research projects.
Analyze complex information requirements and document them using formal data definition techniques and naming standards.
Gather, analyze, prepare, and summarize information from subject matter experts and technical personnel.

What you bring

Knowledge of research function, including how research data is organized and used.
Experience building statistical analysis skills, database management, and systems programming capability.
Ability to communicate complex information clearly and concisely, both verbally and in writing.
Familiarity with data quality and governance issues and requirements.
Knowledge of data management systems, practices, and standards.
Knowledge of relevant rules and regulations.
Self-motivated with the ability to work independently and as part of a team.
Strong problem-solving skills, with the ability to learn effectively and meet deadlines.
Strong organizational skills, critical thinking, and attention to detail.
Knowledge of statistics and machine learning.
Ability to program in SAS, STATA, or equivalent (for example R).
Bachelor’s degree in data science or a related field (or equivalent experience/training), with completion of a first-author original investigation clinical research manuscript demonstrating proficiency with data manipulation and data analysis.

Tools you’ll use

SAS
STATA
R

Department context

The Nephrology Division spans multiple campuses, including UCSF Health, San Francisco Veterans Affairs Medical Center, and Zuckerberg San Francisco General. The division’s mission supports expanding basic and clinical investigation in nephrology, training the next generation of academic nephrology leaders, and providing high-quality patient care.

Training and certifications (preferred)

Collaborative Institutional Training Initiative (CITI) training
HIPAA training

Location: San Francisco, CA (onsite)
Compensation: USD 33 - 33 per hourly
Education: Bachelor’s degree in data science or related field (or equivalent experience/training)

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Today

Data Analyst

Yale University New Haven, CT

New Haven, CT

Today

$68k - $121k/yr Full time Data Data Analysis Data Analytics

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Job Description

Support research data management and statistical analysis by building relational datasets, maintaining data pipelines, and enabling accurate reporting at Yale University in New Haven, CT.

Responsibilities

Create relational databases from existing study data stored across multiple data sources.
Design comprehensive relational database structures using advance knowledge of application factors affecting data analysis and reporting.
Develop and document operational procedures for collecting, editing, verifying, and managing study data.
Document study data files, including data structure and relationships, variable definitions, and data codes.
Write detailed specifications for analysis files and perform consistency checks.
Develop and implement statistical programs to incorporate data from multiple studies and projects.
Organize and create dataset-related documentation, tables, and outputs; coordinate with data sources on data accuracy and data dictionary.
Evaluate and analyze data using accepted statistical techniques and statistical analysis software.
Perform descriptive and multivariate statistical analyses using computer software.
Use advanced statistical knowledge to support managing and analyzing data.
Design and implement quality control measures to ensure accurate data collection and processing.
Protect database integrity through data cleaning, required checks, and data backups.
Handle study data documentation and transmission.
Help ensure data are collected and completed in a timely manner at each site location.
May perform other duties as assigned.

Requirements

Strong experience with data management systems, including proficiency in SQL, R, Python, and other scientific programming software.
Excellent analytical skills, including experience cleaning, analyzing, and visualizing large data sets.
Ability to communicate data insights through reports, presentations, and data visualizations.
Proven ability to work independently and collaboratively in diverse teams, with strong organizational and problem-solving skills.
Proven experience with statistical analysis and machine learning methods, including proficiency in tools such as SAS and Stata (or similar).
Master’s degree in statistics, computer science, business administration, or a related field, plus two years of experience in data management and analysis (or an equivalent combination of education and experience).
Experience with data collection and coordinating efforts across multiple groups.

Preferred Skills and Abilities

Advanced degree in a quantitative field (examples: statistics, computer science, data science, economics).
Demonstrated experience coordinating data management for research studies and managing complex datasets.
Technical experience in data modeling, database design, and data mining techniques.
Familiarity with data visualization tools such as Tableau or Power BI.
Proven experience in survey design and working with institutional data related to faculty or similar populations.

Technologies

SQL
R
Python
SAS
Stata
Tableau
Power BI

Education

Master’s degree in statistics, computer science, business administration or a related field

Job Details

Location: New Haven, CT (onsite)
Job category: Professional
Time type: Full time
Duration type: Staff
Work model: On-site
Min experience: 2 years
Salary: USD 68,000 - 120,500 per yearly
Posting date: 10/27/2026
Bargaining unit: NON
Compensation grade: Administration & Operations
Compensation grade profile: Manager; Program Leader (P5)
Salary range: $68,000.00 - $120,500.00

Background Check and Health Requirements

Pre-employment background screening may include motor vehicle, DOT certification, drug testing, and credit checks based on job requirements.
Offers are contingent on successful completion of the background check.
Certain roles may have associated health requirements (vaccinations, tests, or examinations) as required by law, regulation, or university policy.

Posting Disclaimer

Salary offers depend on qualifications, experience, skills, and education relative to requirements, plus the role’s grade profile and internal and external market conditions.
This job description summarizes essential functions and is not a declaration of specific duties and responsibilities.
Duties are assigned by the hiring department.
Yale University is a tobacco-free campus.

Benefits

A general description of the benefits is available at Yale Benefits (Managerial & Professional position).

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1mo ago

Senior Human Resources Data Analytics and Statistical Analyst

Crossroads Talent Solutions Columbus, OH

Columbus, OH

1mo ago Closed

Full time Senior Data Analytics Data Visualization

This position is no longer accepting applications (closed Oct 25, 2026).

Job Description

The Senior Human Resources Data Analytics and Statistical Analyst role at Crossroads Talent Solutions supports the Ohio National Guard Human Resources Office by transforming personnel, manpower, and financial information into forecasts, models, dashboards, and leadership briefings. The position includes hands-on statistical analysis and clear communication of findings to Government leaders.

Responsibilities

Analyze personnel strength, accessions, attrition, promotions, retirements, funding, obligations, and disbursements to identify trends and emerging resource requirements.
Develop, refine, and maintain statistical, predictive, and optimization models supporting workforce planning, lifecycle forecasting, and talent management.
Apply appropriate analytical methods, including regression, hypothesis testing, variance analysis, and queueing theory, and document assumptions, data sources, methods, and results.
Build and maintain dashboards and performance metrics for Human Resources Office workflows, including transaction volumes, processing times, and workforce trends.
Extract, validate, reconcile, and analyze information from authorized Army and National Guard personnel, financial, and data systems.
Produce recurring financial and workforce analyses, leadership briefings, technical reports, and short-notice analytical products.
Evaluate data quality and model accuracy, investigate discrepancies, and recommend improvements to analytical processes.
Coordinate with Government personnel to understand analytical needs and present findings, providing advisory analysis while Government personnel retain responsibility for official decisions and actions.
Protect sensitive information and follow applicable requirements for Government system access, privacy, training, and documentation.

Requirements

At least 15 years of relevant experience in the core functional area or areas covered by this position.
Demonstrated experience analyzing military personnel, manpower, workforce, or financial data in an Army or National Guard environment.
Advanced capability to produce statistical analyses, forecasts, models, and clear recommendations from complex datasets.
Strong Microsoft Excel skills, including complex formulas, and experience with VBA or macros where needed.
Experience using SQL to extract and manage data, and to develop analytical reports or dashboards.
Ability to write technical findings and brief senior leaders in clear, practical terms.
Ability to meet Government suitability, background investigation, installation access, and system access requirements, including a favorable Tier 1/NACI investigation or equivalent as required for the assignment.

Technologies

Microsoft Excel, VBA, SQL, Power BI, Tableau, Python, STATA
GFEBS, PBAS, RM Online, FTSMCS, DPRO, IPPS-A, RCMS-G, Army Vantage

Benefits

Medical/Dental/Vision Benefits Offered
401k
Life Insurance plans
Employee Health and Wellness program

Relevant Experience

Experience with AGR, MILTECH, and FTS programs; federal budget execution and PPBE; Army and National Guard personnel systems; and tools such as GFEBS, PBAS, RM Online, FTSMCS, DPRO, IPPS-A, RCMS-G, Army Vantage, Power BI, Tableau, Python, or STATA is especially relevant. Candidates should identify the systems and analytical methods they have used directly.

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1mo ago

Research Data Analyst 1- Hybrid

UC San Diego Health San Diego, CA

San Diego, CA

1mo ago Closed

$33 - $45/hr Full time Data Data Analysis Data Analytics

This position is no longer accepting applications (closed Oct 19, 2026).

Job Description

Hybrid role at UC San Diego Health supporting research teams with reliable data management, quality control, and routine analytics. This career appointment is based in San Diego, with a schedule that includes onsite work at the campus and remote time, Monday through Friday during daytime, 8-hour shifts. You will work under close supervision while helping keep research data accurate, organized, and ready for standard reporting.

Responsibilities

Provide routine data management and data quality support for research projects.
Maintain databases and perform data entry and verification activities.
Clean datasets according to established procedures, supporting data accuracy and completeness.
Assist with data organization and documentation for research studies.
Compile data and prepare standard reports, tables, charts, and graphs for research.
Run predefined programs using established statistical software such as SAS, R, Stata, or JMP.
Produce routine data summaries and assist with quality control reviews of datasets.
Support creation of basic calculated variables.
Conduct literature searches, summarize findings for research staff, and assist with preparing research materials and study documentation.
Support presentation of research results.
Provide routine assistance to faculty, staff, students, and trainees in locating and accessing research data and resources.
Work on small projects or project segments with limited scope and complexity.

Requirements

Four (4) years of related experience, education, and/or training, OR a Bachelor’s degree in a related area.
Acquiring knowledge of research function.
Acquiring ability to perform research analysis duties.
Acquiring statistical analysis, systems programming, and database design skills to perform research analysis duties.
Ability to manage time and complete assigned parts of projects by deadline.
Basic consultation and communication skills, including ability to communicate results to scientists and others.
Knowledge of data analysis pipelines that clean, analyze, and output data to reduce error and support reproducible science.
Experience with analysis software including SAS, R, Stata, and/or JMP.
Experience with basic research analysis protocol and results/conclusion writeups.

Schedule, Location, and Pay

Location: San Diego, CA (hybrid)
Worksite: Campus
Work schedule: Days, 8-hour shifts, Monday-Friday
Hybrid arrangement: Combination of onsite at Campus and remote work
Pay transparency: Hiring Pay Scale $33.09 - $45.47 / Hour

Special Conditions

Employment is subject to a criminal background check.
Must be able to work various hours and locations based on business needs.
Final candidate must disclose, as a condition of employment, whether they were subject to final administrative or judicial decisions within the last seven years determining misconduct, or filed an appeal of a substantiated misconduct finding with a previous employer.

Technologies: SAS, R, Stata, JMP

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1mo ago

Postdoctoral Fellow/Research Associate/Data Scientist in Cancer Epidemiology Research

University of Maryland, Baltimore Baltimore, MD

Baltimore, MD

1mo ago Closed

Full time Advanced Analytics Bioinformatics Data Analysis

This position is no longer accepting applications (closed Oct 18, 2026).

Job Description

A full-time postdoctoral research fellowship is available to advance cancer epidemiology research through genomic methods and risk modeling.

Responsibilities

Contribute to study design, project implementation, project management, data analysis, and manuscript preparation
Collaborate with multidisciplinary researchers across the University of Maryland School of Medicine and with national and international academic partners
Use genomic methods and analytical approaches to integrate existing datasets with genomic and phenotypic data
Develop and refine risk prediction models for complex diseases and traits
Analyze complex genomic datasets and support statistical modeling for cancer, oncogenic viral infections, and other non-communicable diseases (NCDs)
Develop and manage a database and coordinate study and research projects
Conduct qualitative and quantitative research and perform systematic reviews
Prepare manuscripts for peer-reviewed journal publication
Support protocol development, study design and implementation, supervision of junior researchers, presentations at national and international conferences, and grant writing

Requirements

Strong quantitative and analytical skills
Proficiency in one or more statistical or programming platforms: R, Python, SAS, or Stata
Experience working with complex datasets and epidemiologic analyses
Ability to work both independently and collaboratively in multidisciplinary teams
Excellent organizational, record-keeping, and project management skills
Strong written and verbal communication skills in English
Interdisciplinary mindset and commitment to collaborative research
Outstanding interpersonal, communication, and time-management skills

Technologies

R
Python
SAS
Stata

Benefits

Comprehensive benefits package emphasizing wellness, work/life balance, and professional development
Additional employee perks
Retirement program (pension or optional retirement plan/ORP) selected at hire and effective on the date of hire
Generous PAID leave package including over 4 weeks of vacation accrued each year
15 paid holidays
3 personal leave
Unlimited accrual of sick time
Comprehensive health insurance
Professional learning and development programs
Tuition remission for employees and dependents at any University System of Maryland school
Flexible work schedules and teleworking options (if applicable per job)

Application

Apply online through the University of Maryland School of Medicine website: https://www.umaryland.edu/jobs/
Reference Job ID #260000ZZ
Include: cover letter, CV, research statement, writing sample, and contact information for three professional references
Applications received until December 18; reviewed on a rolling basis with review beginning immediately

Job Details

Employment type: Full-time Postdoctoral Research Fellowship
Start date: As soon as possible
Location: Baltimore, MD (onsite)
Organization: School of Medicine - Clinical Departments
Job posting date: Sep 17, 2026

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2mo ago

Research Data Analyst

Vanderbilt Health Nashville, TN

Nashville, TN

2mo ago Closed

Full time Analytics Data Data Analysis

This position is no longer accepting applications (closed Sep 27, 2026).

Job Description

Vanderbilt Health is seeking a Research Data Analyst to support complex qualitative and quantitative research efforts tied to health policy, public health, or related disciplines. This role focuses on intermediate-level research work, with an emphasis on quantitative analysis, data management, and helping prepare project deliverables for proposals and ongoing projects.

Based in Nashville, TN, this position is onsite and is designed for candidates with at least 2 years of relevant work experience and a Master’s degree. You will collaborate across internal and external teams while using advanced statistical and programming skills to manage large datasets and support reporting activities.

What you’ll do

Apply quantitative research methods to contribute to the design, coordination, and execution of research projects.
Promote collaboration among team members, including partners internal and external to the department.
Use advanced statistical and data programming skills to manage and analyze data and summarize and interpret complex results (e.g., with SAS, Stata, R).
Manage large and/or complex datasets to support analysis and reporting needs.
Prepare materials and draft technical sections for presentations and written documents.

What you’ll bring

Intermediate-level research skills covering quantitative research activities such as data management, quantitative data analysis, report preparation, and management of project budgets and schedules for proposals and projects.
Expertise in data modeling and an understanding of relationships between data items.
Ability to identify, validate, extract, and format data for statistical analysis, including creating, modifying, and running queries and producing reports.
Experience seeking, collecting, transforming, and ensuring the quality of data.
Strong presentation skills, with the ability to prepare effective presentations and speak competently to the audience.
Relevant work experience.

Tools and technologies

SAS
Stata
R

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2mo ago

Research & Data Analyst

InGenesis Houston, TX

Houston, TX

2mo ago Closed

Part time Analysis Analytics Data Analysis

This position is no longer accepting applications (closed Sep 21, 2026).

Job Description

InGenesis is seeking a Research & Data Analyst to support applied research, program evaluation, and reporting across education, workforce development, healthcare, and related initiatives. This part-time role is based in Houston, TX (onsite) and focuses on quantitative analysis, evaluation reporting, and clear communication of results to program and research teams.

Responsibilities

Conduct descriptive and inferential statistical analyses using survey, administrative, and program data.
Clean, merge, validate, and document datasets drawn from multiple sources.
Score surveys and assessment measures according to established protocols.
Create summary tables, figures, dashboards, and technical appendices to support evaluation deliverables.
Calculate and interpret evaluation metrics, including frequencies, percentages, means, standard deviations, effect sizes, correlations, regression models, and subgroup comparisons.
Update existing reports and evaluation products as new data become available.
Support development of technical reports, grant reports, manuscripts, presentations, and stakeholder-facing products.
Translate statistical findings into clear language for non-technical audiences.
Maintain organized analytic documentation and reproducible workflows.
Perform other duties as assigned.

Requirements

Master’s degree (or advanced graduate training) in a related quantitative field.
At least 2 years of experience conducting quantitative analyses for research, evaluation, or applied analytics projects.
Proficiency in R, SAS, SPSS, Stata, Python, or similar statistical software.
Experience working with survey, administrative, or program evaluation data.
Strong written communication and technical reporting skills.

Education

Master’s degree (or advanced graduate training) in a related quantitative field.

Preferred Qualifications

Experience supporting federally funded, state-funded, or grant-funded research and evaluation projects.
Familiarity with education, workforce development, healthcare, early childhood, or social service programs.
Experience producing stakeholder-facing reports and data visualizations.
Experience conducting subgroup analyses and longitudinal analyses.