We have an exciting opportunity to join our team as a Data Analyst.
In this role, the successful candidate designs and performs statistical analyses under the supervision of the Center of Surgical and Transplant Applied Research (C-Star) leadership team.
Job Responsibilities :
- Design and perform statistical analyses under the supervision of the Center of Surgical and Transplant Applied Research (C-Star) leadership team
- Serve as a data analyst to the Center of Surgical and Transplant Applied Research (C-STAR), using primarily national transplant registry datasets, also potentially including : discrete event simulation model outputs, health and demographic surveys, health care claims datasets, electronic health records, and other data sources
- Contribute original thoughts, hypotheses, and analysis to write reports, abstracts and manuscripts under faculty supervision
- Support grant proposal submissions and support funder reports for NIH funded
- Liaise with senior researchers at other institutions to conduct analyses on behalf of national scientific committee
- Create customized prediction models to support discrete event simulations under counterfactual assumptions
- Under faculty supervision, design analytical strategies for research proposals and draft statistical analysis plans for grants
- Performs miscellaneous job duties as assigned
Minimum Qualifications :
To qualify you must have a Bachelor's or Masters degree in related discipline (epidemiology, biostatistics, public health, or related discipline) Strong facility with R or / and Python.
Strong quantitative aptitude, desire to learn new skills and information, and ability to interpret complex analytic quantitative information;
Strong attention to detail Demonstrated organizational skills, self-motivation, flexibility, and the ability to thrive in a fast-paced, energetic, highly creative, entrepreneurial environment
Preferred Qualifications :
Excellent written and verbal communication skills
Excellent data visualization skills
Experience with observational studies using EHR data.
Qualified candidates must be able to effectively communicate with all levels of the organization.
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