We've made a lot of progress since opening the doors in 1942, but one thing has never changed - our commitment to serve, heal, lead, educate, and innovate. We believe that every award earned, every record broken and every patient helped is because of the dedicated employees who fill our hallways.
At Ochsner, whether you work with patients every day or support those who do, you are making a difference and that matters. Come make a difference at Ochsner Health and discover your future today!
This job uses advanced and predictive data analytics using machine learning and artificial intelligence technology for healthcare innovation and outcomes. Performs analysis using data science techniques on structured and unstructured data sets and develops algorithms for targeted business needs. Pilots the delivery of patient-centered and personalized advanced analytics solutions that improve contract performance, program effectiveness, and clinical, financial, and utilization outcomes across the continuum of care. Implements advanced scientific techniques, forecasting, and machine learning to predict financial and clinical outcomes in order to guide investments that improve health outcomes and reduce costs.
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential duties.
This job description is a summary of the primary duties and responsibilities of the job and position. It is not intended to be a comprehensive or all-inclusive listing of duties and responsibilities. Contents are subject to change at the company’s discretion.
Job Duties: Leads the design and deployment of computational algorithms, statistical methods, and predictive models. Uses machine learning techniques and statistical test, including Pearson correlation, Ttests and Anova statistical tests, for hypothesis testing to assess outcomes of interventions and clinical program. Uses supervised and unsupervised machine learning techniques such as regression, random forest, xgboost, clustering or causal inference techniques, such as hierarchical modeling and propensity score matching, to deliver analytics solutions and researches new methods to evaluate, improve and implement machine learning models to be used in clinical, operational, and corporate areas. Follows best practices for data science and software development (version control, testing, containerization) to create deployable models and repeatable analyses. Heads the creation and dissemination of data mining approaches that facilitate rapid, streamlined detection of outliers, novel patterns of association, and latent, causal connections in high-dimensional data sets. Serve as quantitative subject matter expert (SME) and mentor to colleagues and teammates, providing guidance related to project/program design, statistical methodology, model input/output selection, and interpretation of results. Works directly and maintains a relationship with aligned business partners in requirements definition, project scoping, timeline management, and documentation. Fosters relationships with internal and external stakeholders through regular engagement, communication, and consistent delivery of analytic work products. Authors technical reports, statistical analysis plans (SAP), white papers, enterprise presentations, and peer-reviewed abstracts, posters, and journal articles. Collaborates with data management team to identify required data assets and, in turn, to automate their sourcing, integration, and analysis. Performs other related duties as assigned. Travel as needed to New Orleans worksite 1 or 2 times per month, or more depending on the needs of the work.
Employer: Ochsner Clinic Foundation
Geographic area of employment: New Orleans, LA. May work remotely in U.S. but must meet physically in New Orleans at least quarterly for system-wide meetings.
Salary: $80,912 to $129,480 per year
Education Required: Bachelor’s degree in Data Analytics, Computer Science, Mathematics, Statistics, Economics, or biomedical informatics.
Experience Required: 24 months in healthcare analytics, Data analyst, or graduate assistant.
- Ability to communicate and present data analytics concepts to a non-technical audience. Experience must have included presenting data analytics to laypeople orally and in writing.
- At least 24 months coding in R, Python, SQL, or SAS.
The above statements describe the general nature and level of work only. They are not an exhaustive list of all required responsibilities, duties, and skills. Other duties may be added, or this description amended at any time.
Remains knowledgeable on current federal, state and local laws, accreditation standards or regulatory agency requirements that apply to the assigned area of responsibility and ensures compliance with all such laws, regulations and standards.
This employer maintains and complies with its Compliance & Privacy Program and Standards of Conduct, including the immediate reporting of any known or suspected unethical or questionable behaviors or conduct; patient/employee safety, patient privacy, and/or other compliance-related concerns. The employer is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.Physical and Environmental Demands
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Sedentary Work - Exerting up to 10 pounds of force occasionally (Occasionally: activity or condition exists up to 1/3 of the time) and/or a negligible amount of force frequently (Frequently: activity or condition exists from 1/3 to 2/3 of the time) to lift, carry, push, pull, or otherwise move objects. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time. Jobs are sedentary if walking and standing are required only occasionally and all other sedentary criteria are met.
Normal routine involves no exposure to blood, body fluid or tissue and as part of their employment, incumbents are not called upon to perform or assist in emergency care or first aid.
The incumbent has no occupational risk for exposure to communicable diseases.
Because the incumbent works within a healthcare setting, there may be occupational risk for exposure to hazardous medications or hazardous waste within the environment through receipt, transport, storage, preparation, dispensing, administration, cleaning and/or disposal of contaminated waste. The risk level of exposure may increase depending on the essential job duties of the role.Are you ready to make a difference? Apply Today!
Ochsner Health does not consider an individual an applicant until they have formally applied to the open position on this careers website.
Individuals who reside in and will work from the state of Colorado are not eligible for remote work position
.Ochsner Health endeavors to make our site accessible to all users. If you would like to contact us regarding the accessibility of our website, or if you need an accommodation to complete the application process, please contact our HR Employee Solution Center at 504-842-4748 (select option 1) or email@example.com. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.
We are proud to be an Equal Employment Opportunity and Affirmative Action employer. We are committed to the principles of equal employment opportunity and providing a workplace that is free from discrimination based on race, color, creed, religion, pregnancy status, pregnancy-related conditions, national origin, ancestry, mental or physical disability, medical condition, age, veteran status, military status, citizenship status, marital status, familial status, sexual orientation, gender, gender identity or expression, genetic information, political affiliation, unemployment status, or any other characteristic protected under applicable federal, state or local law. These protections extend to applicants and all employment related decisions. View the EEO is the Law poster
and its supplement
, as well as the pay transparency policy
for more information.Affirmative Action Policy Statement