4069 IT & Software Developer jobs in the US

Parkland Center for Clinical Innovation jobs

Senior Data Scientist - Python & Machine Learning

$159,000 - 199,000
Parkland Center for Clinical Innovation
Pegasus Park Drive 3000, Dallas
$159,000 - 199,000
Company Size icon
Company Size
200-500
Company Type icon
Company Type
Services
Exp Level icon
Exp Level
Senior
Job Type icon
Job Type
Full-Time
Language icon
Language
English
Visa sponsorship icon
Visa sponsorship
No

Requirements

Must:
- Masters Degree in Statistics, Applied Mathematics, Informatics, Computer Science, Operations Research, or a related field - Minimum of three (3) years of experience in analyzing business-related data and information systems - Proven experience in research and development of predictive modeling, data mining, and advanced analytics for business intelligence and technology transfer - Skilled in developing data mining solutions utilizing various statistical software packages (e.g., R, Python) - Preferred experience in collaborating with healthcare organizations and healthcare applications - Preferred experience within a complex, academic healthcare setting

Responsibilities

- Design and implement advanced predictive models to enhance clinical decision support - Transform intricate healthcare data into actionable insights for a variety of stakeholders including clinicians, social workers, family care providers, and patients - Coordinate specific phases of data analytics such as extraction, analysis, manipulation, synthesis, summary, validation, testing, and maintenance - Develop algorithms for clinical and operational initiatives as identified by our organization

Description


At PCCI, we are dedicated to advancing healthcare by utilizing data science to drive impactful change. We are looking for a passionate Senior Data Scientist to join our dynamic team, where you will play a key role in transforming data into meaningful insights. You will work alongside diverse stakeholders in a collaborative environment. This position offers the opportunity to develop cutting-edge solutions in a complex academic healthcare setting.
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