Stanford University is hiring: Research Data Analyst 2 in Palo Alto

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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.

Stanford University is one of the world’s most renowned universities, located in the heart of the San Francisco Bay Area among the valley’s most progressive companies.

The Department of Pathology at Stanford School of Medicine is a leader nationwide. Our faculty span emerging leaders to highly accomplished physicians and scientists, including a Nobel laureate and members of the National Academy. Our mission is to improve the diagnosis, treatment, and basic understanding of human disease. This is achieved through discovery, education, and clinical care.

Working in this environment provides an unparalleled, leading‑edge community of faculty and staff that are fundamentally changing the world of health care. It offers the opportunity to influence and drive change with innovative ideas and to participate in human advancements. Our culture is fast‑paced, energetic, and constantly growing.

We offer a variety of benefits beyond traditional medical, dental, retirement, and savings options, including:

• Events and programs for children, sports camps, tuition options
• World‑class intellectual stimulation through learning and development classes, workshops, and onsite conferences from leading‑edge speakers and faculty
• Work/life and family‑friendly policies and reimbursement
• Participation in Stanford’s social responsibility and sustainable programs for a better world
• A vibrant university culture that values the uniqueness of each individual

About The Department of Pathology

Comprised of extraordinary faculty and staff, our mission is to improve the ability to diagnose, treat and understand the origin and manifestation of human disease, and to care for those who have or are at risk to develop disease. We accomplish this through our clinical services (in all fields of anatomic and clinical pathology, including molecular and genomic pathology, histocompatibility testing and transfusion medicine) and research (which includes basic, translational and clinical research into the origins and manifestations of disease, including efforts to improve disease prediction and prevention as part of the goal of achieving precision medicine and health), and by educating future leaders in pathology and related fields. Everything we do is to achieve the goals of providing the highest quality of clinical services to the patients for whom we passionately care, to advance our ability to understand, diagnose, monitor and ultimately to cure disease or to prevent or delay its occurrence, and to provide outstanding education and career development opportunities to those who share these goals.

About The Sean N. Parker Center

The Sean N. Parker Center for Allergy and Asthma Research at Stanford University is the first of its kind, dedicated to advancing treatments and discovering underlying immune mechanisms to develop lasting cures for allergies and asthma in both children and adults. Our interdisciplinary team of leading scientists, physician‑scientists, and specialists from fields such as immunology, gastroenterology, otolaryngology, chemistry, bioengineering, pathology, pulmonology, and genetics collaborates on cutting‑edge research aimed at understanding immune dysfunctions that lead to allergic reactions.

About The Position

The Sean N. Parker Center for Allergy and Asthma Research at 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 center’s mission is to find causes, treatments, and cures for allergies and asthma, and to bring these to children, adults, and their families at local and global levels.

Responsibilities

• Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation.
• Assist with the design of data collection instruments and statistical analysis plans under the supervision of the research data manager and a senior biostatistician.
• 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.
• Design and customize reports based upon data in the database.
• Oversee and monitor regulatory compliance for data utilization.
• Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root causes of data problems or justify solutions to be implemented by others.
• 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.
• 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.

Desired Qualifications

• Proficient understanding of statistical concepts and analytical techniques used in clinical and translational research.
• Experience in a quantitative discipline such as economics, finance, statistics, or engineering.
• Extremely comfortable with computers and quick to learn new software.
• REDCap experience (data entry, building REDCap forms, organizing REDCap surveys, etc.) or iMedidata experience.
• Able to work independently and heavily multi‑task.
• Good communication skills.
• Experience in project and/or database management.
• Ability to understand and work with large and complex data sets – QA/QC, data cleaning, and multivariate reporting.
• Advanced knowledge of programming.
• Clinical/medical terminology.
• Database experience (e.g., MySQL, Oracle).
• Master’s degree or higher, or a combination of education and relevant experience.

Education & Experience (Required)

• Bachelor’s degree and three years of relevant experience 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)

• Proficient in at least one of R, SAS, SPSS, or STATA.
• Skills in descriptive analysis, modeling of data, and graphic interfaces.
• 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.

Expected pay range: $108,002 to $128,138 per annum. Stanford University provides pay ranges representing its good faith estimate of the salary or hourly wage the university reasonably expects to pay for a position upon hire. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs.

Stanford University provides a comprehensive rewards package. Specifics about the rewards package for this position may be discussed during the hiring process.

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.