Scientist - Remote Eligible

Summary:
Develop innovative & sophisticated analytics models in concert with other Directors within the Analytics Organization (AO) and in partnership with IT to support analytics/reporting needs of business leaders & fellow colleagues for the real time business decision making. Support optimization and enhancement of existing analytical models utilized by the PHS across the AO. Support development and testing of analytical prototypes and contribute to analytical solutions best practices. Develop the communication strategies and transitioning of solutions to other teams within the AO. Responsible for guiding, mentoring and supporting fellow junior scientist and other analytical talent across the AO.

Type of Opportunity: Full Time
FTE: 1.000000
Exempt: Yes
Work Schedule: Days

Preferred Qualifications:

• Experience with SAS programming,
• Prior SAS Lead experience in assisting a Team with QA and promoting code
• Demonstrated SAS knowledge and/or certifications.
• Healthcare data knowledge  
• Other programming languages R, Python (SAS is primary)
• Knowledge of Tableau, dashboard builds

Other information:
Bachelors degree in an econometrics, physics, biostatistics, computer science, applied mathematics, engineering or any other quantitative related subject area. A Masters or a Ph.D. is highly preferred. Four or more years of related business intelligence, statistical/mathematical, predictive modeling along with the business strategy experience required. Understanding of natural language processing, machine learning, conceptual modelling and hypothesis testing as well as relational database management systems (Oracle, Teradata, SQL Server, DB2 etc.) Knowledge of healthcare industry and healthcare information standards such as HL7, LOINC, FHIR, ICD 9/10 and CPT codes, industry standard groupers (e.g., ETGs, DRGs, DCGs, etc.) as well as of the health care delivery system processes. Experience in big data technologies such as Hadoop, Spark, Kafka, Storm, R, Python, SQL, no-SQL databases, database analytics and graph databases is a PLUS. Adept in using BI tools (e.g., Business Objects/BO, Cognos), data visualizations tools (e.g., Tableau), statistical software such as SAS and general health service research and reporting/analytics. Working knowledge of extract transform and loading (ETL), data cleaning, data normalization/mapping and business process management (BPM) is expected. Experience in mathematical modeling skills including but not limited to classification, regression, survival analysis, recommender systems, experimentation systems (A/B testing), hypothesis testing and supporting development of mathematical algorithms.

 

 

 

 

 

 

Responsibilities:
*Provide support in creating/coding, designing and testing pilot data-driven predictive/descriptive analytical models for PHS.to solve business problems leveraging the latest and most appropriate technologies in statistical modeling and machine learning
*Ability to work in a diverse team setting across the AO to develop, refine and scale data management and analytics procedures, systems, workflows, best practices and other issues.
*Assist in risk identification and mitigation planning and communicate to analytical senior leadership of any issues/escalations & risks
*Support management of multi-tasking, achieving milestones, deadlines, and maintaining customer relationships
*Support and assist healthcare reporting/analytics system implementations throughout the project life-cycle, performing workflow analysis, testing, training, go-live, system upgrades and issues management in partnership with IT
*Ability and experience to deal with very granular data available through various data storage platform (e.g., Hadoop) and summarize, interpret and translate the findings to the leadership promoting data-driven strategic decision making
*Design and test structured data and algorithms to support clinical, operational and financial data analysis using advanced data-driven analytical methods from statistics, data mining, econometrics, and operations research
*Design models for investigations of various acute/chronic clinical and/or operational and/or financial areas, including hypotheses generation and creating an analysis plan with appropriate primary and secondary data required, and evaluate results of the analysis and interpret conclusions, taking into consideration bias/data limitations as well as performing any specialized analysis required
*Create and test optimization algorithms, forecasting and predictive models for patient level outcomes, utilization management, and overall medical services
*Support design, build and test of population scoring, stratification and segmentation based on predicted risk of adverse utilization/clinical and financial outcomes
*Synthesize findings and conclusions including efficacy of existing programs as well as incremental impact of new care inventions and interventions; design and institute appropriate metrics to assess progress vs. projected impact.
*Routinize advanced analytical and reporting methods and techniques for broader use of the AO community
*Work with large and complex datasets to derive and validate predictive models across clinical, operational and financial areas
*Collaborate and partner with management, project managers, and IT to identify cases that can benefit from predictive analytics and other advanced statistical techniques
*Visualize, interpret, report, and communicate data findings creatively in a various formats and audiences
*Support advanced analytical and data mining efforts which could include but not limited to clustering, segmentation, logistic and multivariate regression, decision/CART trees, neural networks, time-series analysis, sentiment analysis, topic modeling, random forests, and Bayesian analysis
*Support collaboration with other analytics stakeholder to define, gather requirements and build a pilot prototype BI tools
*Provide support in designing and development of reusable analytical assets (data structures, code, solutions); test and improvise improvements to existing assets; and conduct evaluation of the suitability and value of potential new assets
*Assist in developing training material and provide hands-on mentoring to analytical talent on the appropriate use and interpretation of new analytical models, integration of these models into existing business analyses as well as assure, maintain and improve efficiency and quality; validate work product of peers across the AO
*Assist with the preparation of documents/publications and presentation materials describing analytic methods, observations and findings in the AO area
*Contribute towards and assist Informaticists leadership in developing a year-end value story to demonstrate value of the team and their contribution to progress towards the AOs and PHSs goals.

We offer more than the standard benefits!

Presbyterian employees gain access to a robust wellness program, including free access to our on-site and community-based gyms, nutrition coaching and classes, wellness challenges and more!

Learn more about our employee benefits:

https://www.phs.org/careers/why-work-with-us/benefits

Why work at Presbyterian?

As an organization, we are committed to improving the health of our communities. From hosting growers' markets to partnering with local communities, Presbyterian is taking active steps to improve the health of New Mexicans. For our employees, we offer a robust wellness program, including free access to our on-site and community-based gyms, nutrition coaching and classes, wellness challenges and more.

Presbyterian's story is really the story of the remarkable people who choose to work here. The hard work of our physicians, nurses, employees, board members and volunteers grew Presbyterian from a tiny tuberculosis sanatorium to a statewide healthcare system that serves more than 875,000 New Mexicans.

About Presbyterian Healthcare Services

Presbyterian Healthcare Services exists to improve the health of patients, members and the communities we serve. We are a locally owned, not-for-profit healthcare system of nine hospitals, a statewide health plan and a growing multi-specialty medical group. Founded in New Mexico in 1908, we are the state's largest private employer with nearly 14,000 employees - including more than 1,600 providers and nearly 4,700 nurses.

Our health plan serves more than 580,000 members statewide and offers Medicare Advantage, Medicaid (Centennial Care) and Commercial health plans.

About Our Regional Delivery System

Presbyterian's Regional Delivery System is a network of six hospitals and medical centers throughout rural New Mexico including locations in Clovis, Espanola, Ruidoso, Santa Fe, Socorro and Tucumcari. Our regional facilities are home to more than 1,600 clinical and non-clinical employees who help make Presbyterian the state's largest private employer with nearly 14,000 statewide employees. With a variety of services ranging from general surgery to pediatrics to heart and cancer care, our regional employees are proud to provide close-to-home care for their communities.

We are part of New Mexico's history - and committed to its future. That is why we will continue to work just as hard and care just as deeply to serve New Mexico for years to come.

About New Mexico

New Mexico continues to grow steadily in population and features a low cost-of living.

Varied landscapes bring filmmakers here from around the world to capture a slice of the natural beauty New Mexicans enjoy every day. Our landscapes are as diverse as our culture - from mountains, forests, canyons, and lakes, to caverns, hot springs and sand dunes.

New Mexico offers endless recreational opportunities to explore and enjoy an active lifestyle. Venture off the beaten path, challenge your body in the elements, or open yourself up to the expansive sky. From hiking, golfing and biking to skiing, snowboarding and boating, it's all available among our beautiful wonders of the west.

AA/EOE/VET/DISABLED. PHS is a drug-free and tobacco-free employer with smoke free campuses.

 

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The compensation range for this role takes into account a wide range of factors, including but not limited to experience and training, internal equity, and other business and organizational needs. Compensation decisions are dependent upon the facts and circumstances of each offer.
USD $63.87/Hr.