Data Scientist II - Family Medicine - Population Health Research at UTHealth in Houston, Texas

Job Description:

What we do here changes the world. UTHealth Houston is Texas' resource for healthcare education, innovation, scientific discovery, and excellence in patient care. That's where you come in.

Once you join us you won't want to leave. It's because we reward our team for the excellent service they provide. Our total rewards package includes the benefits you'd expect from a top healthcare organization (benefits, insurance, etc.), plus:

• 100% paid medical premiums for our full-time employees
• Generous time off (holidays, preventative leave day, both vacation and sick time - all of which equates to around 37-38 days per year)
• The longer you stay, the more vacation you'll accrue!
• Longevity Pay (Monthly payments after two years of service)
• Build your future with our awesome retirement/pension plan!

We take care of our employees! As a world-renowned institution, our employees' wellbeing is important to us. We offer work/life services such as...

• Free financial and legal counseling
• Free mental health counseling services
• Gym membership discounts and access to wellness programs
• Other employee discounts including entertainment, car rentals, cell phones, etc.
• Resources for child and elder care
• Plus many more!

Position Summary:

The Data Scientist - Level II is a skillful team player with a clear track record of transforming data into actionable insights and knowledge. This individual is a deliberate and systematic scientist who can clearly articulate the hypotheses to be tested, practice with rigor and precision, and maintain a balanced/independent point of view to achieve valid and accepted findings. Uses social determinants of health data sets in conjunction with administrative claims and electronic health records to measure the relational impact of these variables when applicable.

It is essential for this person to be a very effective communicator who can guide other team members to understanding of applied methods, rationale, statistical validity, and the appropriate application of insights.

Position Key Accountabilities:

1. Performs statistical analyses for population health studies using large administrative databases, including health claims data
2. Builds models that incorporate diverse data sets representing administrative, clinical, and social health indicators when applicable.
3. Apply a variety of methods such as statistical analysis, data mining, predictive analytics, multivariate regression analysis, statistical process control, and optimization solutions.
4. Perform as a results-oriented problem solver to quickly synthesize complex scenarios, connect abstract patterns/information, apply appropriate methods, and implement practical and timely solutions.
5. Demonstrate and embrace a collaborative approach by providing guidance on statistical analysis of large healthcare datasets to other team members and trainees.
6. Assess the impact of computer networking and data warehousing on data use and analysis when applicable.
7. Perform other duties as assigned.

Certification/Skills:

• Proficiency with statistical packages, databases, and programming languages for data preparation, storage, transformation, analysis or visualization. Examples include R, SAS, STATA, Python, Excel, or other big data frameworks.
• Ability to work with a wide variety of data formats/sources such as relational databases, XML, JSON, CSV, text, sensors/activity trackers, clickstreams, social media, and geolocation
• Effective communication skills including written, oral, listening, and interpersonal.

Minimum Education:

Master's degree in health care, management, mathematics, engineering, informatics, or a related field

Minimum Experience:

3 years of enterprise experience as a data scientist, informaticist, statistician, senior analyst or related role

Physical Requirements:

Exerts up to 50 pounds of force occasionally and/or up to 20 pounds frequently and/or a negligible amount constantly to move objects.

Security Sensitive:

This job class may contain positions that are security sensitive and thereby subject to the provisions of Texas Education Code § 51.215

Residency Requirement:

Employees must permanently reside and work in the State of Texas.

Apply Now