Research Data Analyst 1, Abdominal Transplantation (Hybrid Opportunity)

$66,560 - $97,000/Yr

Stanford University - Stanford, CA

Full-time - Entry Level

Remote - Stanford, CA

Educational Services

About the position

The Research Data Analyst 1 position in the Abdominal Transplantation division at Stanford's School of Medicine is a hybrid role that combines on-site and remote work, depending on operational needs. This position is situated within the Department of Surgery, which is dedicated to providing exceptional patient care, delivering outstanding education, and advancing the field of surgery through innovative research. The Transplant Immunology lab and Division of Abdominal Transplantation focus on basic and translational research aimed at understanding immune pathways related to transplantation, infection, and cancer, with the ultimate goal of improving outcomes for solid organ transplant recipients. As a Research Data Analyst 1, the successful candidate will be responsible for analyzing high-dimensional datasets generated by laboratory personnel to evaluate experimental results under the guidance of project researchers or investigators. The role involves compiling, managing, and cleaning datasets, employing both new and existing tools to interpret, analyze, and visualize multivariate relationships in data. The analyst will create databases and reports, implement algorithms and statistical models, and perform biocomputational analyses tailored to data and reporting requirements. Additionally, the analyst will identify potentially problematic data, make necessary corrections, and suggest solutions to data issues stemming from input errors or inadequate field edits. The position also requires the development of reports, figures, charts, graphs, and tables for use by investigators and for publication and presentation purposes. Collaboration with faculty and research staff on data collection and analysis methods is essential, as is the provision of documentation based on audit and reporting criteria. The analyst will communicate with government officials, grant agencies, and collaborators to ensure compliance with data management and sharing policies. Other duties may also be assigned as needed.

Responsibilities

• Compile, manage and clean datasets.
• Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data.
• Create databases and reports, implement algorithms and statistical models, and perform biocomputational 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, figures, 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 collaborators and remain compliant on data management and sharing policies.

Requirements

• Bachelor's degree in Bioinformatics, Computer Science, Biostatistics or related field.
• Experience or familiarity in Biology, Molecular Biology, Cancer Biology, Immunology or Genetics.
• Fluency with biocomputational tools such as R, Python, Java, Matlab, and analytical programs or ability to learn.
• Excellence in communication of both spoken and written English.
• Ability to keep accurate records and follow instructions.
• Must be highly organized and demonstrate exceptional communication skills, both oral and written.
• Ability to work independently and collaboratively.
• Previous work experience in an academic institution, or academic hospital setting preferred.
• Substantial experience with MS Office and analytical programs.
• Strong writing and analytical skills.
• Ability to prioritize workload.

Nice-to-haves

• Experience in a quantitative discipline such as economics, finance, statistics or engineering.

Benefits

• Comprehensive health insurance coverage.
• Dental and vision insurance.
• Retirement savings plan with 401(k) options.
• Paid holidays and vacation time.
• Flexible work arrangements including hybrid work options.
• Professional development opportunities.
• Employee assistance programs.
• Tuition reimbursement for further education.