TB Research Data Analyst - International Projects Onsite

UCSF Campus BU; San Francisco (CA); On-site; USD 99,000 - 121,000; Full time

Job summary

UCSF Campus BU is seeking a Research Data Analyst 3 to support data management and analysis for NIH-funded multicountry TB diagnostic research. The role contributes to analysis-ready datasets, publications, and cross-site coordination, based in California onsite.

You will design REDCap databases, create data dictionaries, oversee data quality, train staff, and collaborate with investigators, biostatisticians, and international teams while complying with data privacy and security requirements.

Qualifications

• Bachelor’s degree in epidemiology, public health, or related area.
• 3 years of directly relevant work experience or an equivalent combination of education and experience.
• Human Subjects research training, or ability to obtain it in the first year of employment.
• Thorough knowledge of research function and study design.
• Thorough skills in statistical analysis and data systems programming.

Responsibilities

• Design data collection instruments and REDCap databases.
• Create data dictionaries and standard operating procedures.
• Oversee data collection, validation, cleaning, integration, and documentation.
• Train and support project staff; monitor data quality and timeliness.
• Prepare tables, figures, and reports; contribute to abstracts, manuscripts, and presentations.

Skills

Statistical analysis

Data management

Writing & communication

Project coordination

Cross-site coordination

Education

Bachelor’s degree in epidemiology, public health, or related field

Tools

STATA

R

MS Excel

REDCap

Sawtooth

Job description

UCSF Campus BU is seeking a Research Data Analyst 3 to support data management and analysis for NIH-funded multicountry TB diagnostic research. The role contributes to analysis-ready datasets, publications, and cross-site coordination, based in California onsite.

You will design REDCap databases, create data dictionaries, oversee data quality, train staff, and collaborate with investigators, biostatisticians, and international teams while complying with data privacy and security requirements.