Research Data Analyst
University of California, San Francisco
San Francisco, Canada · На постоянной основе
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- Открытия
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- Опубликовано
- 2 часа назад
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- В офисе
- Образование
- степень бакалавра
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Где вы будете работать
Описание работы
Job Summary
The Gaw Lab at the University of California, San Francisco invites applications for a part-time Research Data Analyst to join a collaborative team focused on maternal-fetal immune responses. This role predominantly involves assisting with data analysis and visualization, under direct supervision, in a flexible part-time capacity of approximately 10-20 hours per week to meet project deadlines.
Key Responsibilities
- Perform essential statistical and data analyses under supervision and participate in scheduled and impromptu virtual team meetings, providing comprehensive weekly reports.
- Gather research data, preparing it for in-depth analysis.
- Contribute to study design recommendations and develop survey instruments.
- Assist in testing research tools and validating data sources.
- Support internal report preparation and data analysis efforts.
- Participate in the evaluation and research of data reporting products.
- Expand expertise in managing computerized data storage, documentation, and dissemination.
Qualifications
- Possession of a bachelor's degree in computational sciences, statistics, data science, bioinformatics, or related field, or alternatively, a minimum of three months equivalent experience or training.
- Progressive understanding of research functions and the capability to perform research analysis tasks.
- Developing skills in statistical analysis, systems programming, and database design relevant to research analysis duties.
- Excellent time management skills with the ability to complete assigned project components by deadlines.
- Strong communication and consultation capabilities.
- Experience with R and/or Python programming languages.
- Flexible scheduling and ability to meet tight deadlines, including short-notice tasks (less than two days).
- Familiarity with analysis of “-omics” data.
- Capacity to collaborate effectively within a team environment and utilize communication platforms such as Slack.
Preferred Qualifications
- Familiarity with basic statistical methods applied in clinical research and computational biology.
- Previous experience using Microsoft Excel and REDCap data management tools.
About the Department & UCSF
The Department of Obstetrics, Gynecology and Reproductive Sciences at UCSF is a prominent academic unit involved in clinical care, research, and education across several campuses with a strong commitment to improving women's health through innovation, education, research, and advocacy. UCSF is a leading health sciences university dedicated to advancing health worldwide through research, education, and patient care, upholding values of professionalism, respect, integrity, diversity, and excellence.
Equal Opportunity & Accommodations
UCSF is an equal opportunity employer dedicated to diversity and inclusivity, providing reasonable accommodations in the application and hiring process. Individuals requiring accommodations are encouraged to contact the relevant office to begin the interactive process. Employment consideration is given without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, veteran status, or other protected categories.
Additional Information
Salary placement depends on several factors including experience and internal equity, with final offers subject to university policies and labor agreements. For further details on benefits and total compensation, candidates may refer to the university's compensation and benefits resources.