Clinical Data Specialist jobs in Alabama

Position Summary:

The primary responsibility of Clinical Data Specialist I is to work with the current students in Dr. Rothenberg's lab and manage pipelines for searching, accessing, de-identification, sharing, image processing and analysis. The role includes interfacing with a multi-disciplinary team to assist with the management of research activities. To design and implement relational database management systems (RDMS) for retrieval and reporting of clinical information. To collect, enter and statistically analyze clinical data and prepare ad hoc and recurring reports for publication or presentation for a specific department or unit.

Duties and Responsibilities:

• Following instructions and discussions with the principal investigator, designs research protocols, including developing and extending procedures for the collection, verification, and management of data.
• This includes conducting literature searches related to the research project.
• Assists with grant preparation and reporting.
• Implements technical or procedural improvements, and establishes quality control and assurance.
• This includes optimization of data acquisition, analysis, and storage.
• Conducts user interviews to explore innovative research directions with new technology to guide the development of intellectual property (IP).
• Works with technology transfer to create, protect, and license new IP assets.
• Manages pipelines of population health research tools.
• Provide training to trainees and staff for data acquisition, storage, and analysis, and work in a team environment to complete research projects.
• Perform other duties as assigned

Salary Range: $45,395 - $55,000

Bachelor's degree in Statistics, Mathematics, Computer Science, Public Health, or a related field and two (2) years of related experience required. OR AN EQUIVALENT COMBINATION OF RELEVANT EDUCATION AND/OR EXPERIENCE.

Preferred:

• Be able to effectively communicate with collaborating physicians
• Experience working with radiologic image data and EHR data.
• Experience with statistical analysis R, SAS, Stata, MATLAB, SPSS, or python.
• Ability to adapt to new technologies quickly with a growth mindset.
• Ability to train and manage medical students.
• Image annotation experience with MD.ai, Redbrick, or equivalent.
• The ability to conduct studies, design experimental plans, and perform data analysis under minimal direction.
• Entrepreneurial mindset.