JOB DUTIES
Description
The Department of Medicine at UCLA is seeking a skilled Bioinformatics Programmer to support innovative clinical and translational research initiatives. This role offers the opportunity to apply computational theory to real-world biomedical research challenges within a collaborative academic environment.
The incumbent will contribute to the development, implementation, and maintenance of bioinformatics and data analysis workflows across diverse research applications. Responsibilities include supporting data processing, managing research datasets, assisting with computational analyses, and collaborating with investigators to translate research questions into technical solutions. The role involves structured assignments that require sound judgment, attention to detail, and growing independence in problem-solving.
This position is ideal for a technically skilled professional eager to expand their expertise while contributing to impactful research in a leading academic medical center.
Hourly range: $33.96-$69.54
JOB QUALIFICATIONS
Qualifications
Required:
- High school degree and/or equivalent demonstrated experience in data science, coding, and programming.
- Bachelor’s Degree or equivalent combination of education and experience.
- 0-2 years of experience in computation science, data science, statistics, or related field, with computer, computational, and/or data management experience.
- Knowledge of basic and multivariate statistics.
- Knowledge of data science processes.
- Knowledge of basic and multivariate statistics.
- Ability to conceptualize desired tables and graphs and basic code as needed
- Ability to select and pass on relevant information to supervisor/investigators
- Familiarity with 2 programming languages.
- Familiarity with programming terminology and ability to manipulate data accordingly.
- Demonstrated effective communication and interpersonal skills.
- Demonstrated ability to communicate technical information.
- Familiarity with UCLA IRB and ClinicalTrials.gov
- Knowledge of Good Clinical Practice for clinical research
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