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Statistician

at NCIRE

Posted: 10/2/2019
Job Status: Full Time
Job Reference #: *8F2EE1DE3B03D5F4
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Job Description

Requisition Number
19-0033

Post Date
10/7/2019

Title
Statistician

Employment Type
Full Time

Campus
SF VA Medical Center

City
San Francisco

State
CA

Description
POSITION DEFINITION:
We are seeking a full-time statistician, epidemiologist or health services researcher to join an active research program focused on using “big data” to construct cohorts and answer clinically relevant questions in the public health field. Individuals with a background in epidemiology, statistics, health services research or related field are welcome to apply to join a general medicine/public health focused research program based in the San Francisco VA. This job involves working directly with UCSF researchers and SFVA Faculty.

Current studies include:

1) Mimicking a clinical trial using national VA and Medicare data
2) Examining the role of social determinants of health on outcomes
3) Research on health outcomes in patients with posttraumatic stress disorder
4) A new area of research for the lab includes examining the association of cannabis use with health outcomes (see https://phprg.ucsf.edu/), and examining public opinion on beliefs and attitudes towards cannabis use.

The incumbent will be responsible for developing analysis plans, performing and interpreting statistical analyses, and contributing to research publications and presentations.

Essential Functions:

• Data extraction and data cleaning to create analytic datasets
• Developing cohorts
• Conducting statistical analyses
• Contribute to research publications and presentations
• Team work

Opportunities for skill development and career enhancement are available as part of this position.


Requirements
Job Requirements:

• MS in biostatistics, epidemiology, data science or related field
• At least 2 years prior experience in the analysis of clinical data with experience in large database analyses
• Experience in programming and cleaning data
• Proficient in SAS, Stata or R
• Proficient in SQL
• Experience with a wide range of statistical methods including multivariable linear and logistic regression, GEE and linear mixed models, survival analysis, propensity score methods, multiple imputation, marginal structural modeling and meta-analysis.
• Strong computer skills and ability to apply study-specific software
• Ability to work with text data a plus
• Past experience using VA data a plus
• Strong interpersonal, written/oral communication, and organizational skills
• Able to manage multiple projects with minimal supervision
• Ability to work independently as well as part of a team