Job ID : 36826
Location : Houston, TX
Company Name : Emblue
Job Type : Full-Time, Part-Time, Contract, Training
Industry : Information Technology
Salary : $25000 - $35000 per year
No. of Positions : I have ongoing need to fill this role
Required Skills : Critical thinking, Data cleansing, Statistics..
Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance
Job Description :Responsibilities:
- Working with CCHE investigators to identify appropriate statistical methods to address research hypotheses and conducting statistical analyses accordingly.
- Creating analytic datasets by merging, cleaning, and coding data from multiple sources, including behavioral surveys, electronic health records, and public health surveillance.
- Documenting source code and data management and analysis procedures.
- Preparing tables and figures for manuscripts, abstracts, and other scientific publications.
- Contributing to the writing of statistical methods sections for manuscripts and other publications, with opportunities for authorship available.
- Presenting results of statistical analyses to researchers, colleagues, and funders, including formal presentations at conferences.
- Participating in regular meetings with CCHE research staff and data analysts to discuss proposed analyses, share code and analytic approaches, and discuss data and/or methodological challenges as they arise.
- Providing assistance with power calculations and proposed analytic strategies for new grant proposals.
- Depending on expertise and experience, the candidate may provide critical methodological evaluation of newly proposed research designs and suggest design improvements and statistical analysis plans.
- Analyzes moderately complex data sets for the purpose of extracting and purposefully using applicable information.
- Provides professional support to staff or faculty members in defining the project and applying principals of data science in manipulation, statistical applications, programming, analysis and modeling.
Key Skills:
- Data visualization.
- Problem solving.
- Communication skills.
- SQL.
- Machine learning.
- Critical thinking.
- Data cleansing.
- Statistics.