Job details
Job type full-time
Full job description
Overview: *this position is remote eligible to candidates located in the united states with the exclusion of the states: washington, ohio, wyoming, and north dakota.*
Job description
Type of opportunity: full time
Fte: 1.000000
Exempt: yes
Work schedule: days
Summary:
Identify new opportunities for innovative analytics (i.e., descriptive, prescriptive and predictive) based on market developments & business demands as well as manage innovative analytical projects in concert with other directors within the analytics organization (ao)Collaborate across the organization to perform exploration and experimentation to build prototypes and develop analytical solutions best practices develop new analytical models to support real time and data driven business decision makingResponsible for mentoring and supporting fellow junior scientist as well as assisting senior leadership in evaluation, development and implementation of cutting edge reporting/research/analytics generating actionable insights to meet organization s needs responsibilities:
Responsibilities:
Ability to collaborate and develop working relationships across the ao leaders, staff & business stakeholders from clinical, operational, financial and technical areas to gather, define and analyze requirement(s) as well as design and implement robust reporting/research/analytic solutions to generate clinical, operational and financial insights
Participate in strategic discussion to develop insights, leverage appropriate tools, technologies, and methodologies to help key stakeholders achieve strategic goals and develop innovative solutions for business stakeholders
Conduct assessment and inform leadership with the analytics models strengths, weaknesses & dependencies as well as identify enhancement opportunities for the existing models
Support risk identification and mitigation planning and communicate to analytical senior leadership of any issues/escalations & risks
Partners with it teams to support data collection, integration, and retention requirements based on the input collected from the business stakeholders
Support management of multi-tasking, achieving milestones, deadlines, and maintaining customer relationships
Design experiments, test hypotheses, and build optimization algorithms, forecasting and data-driven predictive/descriptive models to solve business problems using the latest and most appropriate technologies in statistical modeling and machine learning
Conduct advanced data analysis and complex designs algorithm for both exploratory and hypothesis-driven data studies using clinical, financial, and administrative data sources
Identify data availability and relevance, including data sources, leveraging new data collection processes to design/develop, test and validate both existing and new analytical prototypes, algorithms, models, methods, and data processes to support business decision making as well as clinical and operational process improvement
Conduct analysis of patterns in the volume of data supporting the clinical/operational/financial initiative(s), the type of data (e.g., images, text, etc.) and the speed/unexplained variations in data collection.
Provide business metrics for the overall project to show improvements (contribution to the improvement would be monitored initially and over multiple iterations)
Support overall program evaluations (i.e., planning-implementation-completion/analysis-reporting) and other assessments such as change management assessments, workflow optimization assessments, etc.
Support 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
Provide on-going tracking and monitoring of performance of decision systems and statistical models as well as implement/troubleshoot enhancements and fixes to systems as needed.
Support advanced data mining methodologies for unstructured data, using methods such as document clustering, topic analysis, named entity recognition, and document classification
Support design, test and deployment of optimization algorithms, forecasting and predictive models for patient level outcomes, utilization management, and overall medical services as well as population scoring, stratification and segmentation based on predicted risk of adverse utilization/clinical and financial outcomes
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
Provide training and guidance 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 junior scientists and peers across the ao
Support 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.
Qualifications:
Other information: bachelors degree in an econometrics, physics, biostatistics, computer science, applied mathematics, engineering or any other quantitative related subject areaA masters or a ph.dIs highly preferredSix or more years of related business intelligence, statistical/mathematical, predictive modeling along with the business strategy experience requiredUnderstanding of natural language processing, machine learning, conceptual modelling and hypothesis testingExperience working on complex healthcare projects with diverse teams and developing data driven and outcome based strategies to improve business decision making and operational efficienciesWorking 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 health care delivery system processesExperience in big data technologies such as hadoop, spark, kafka, storm, r, python, sql, no-sql databases, database analytics and graph databases is a plusAdept 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/analyticsKnowledge of extract transform and loading (etl), data cleaning, data normalization/mapping and business process management (bpm) is expectedProficient in mathematical modeling skills including but not limited to classification, regression, survival analysis, recommender systems, experimentation systems (a/b testing), hypothesis testing and developing mathematical algorithms.
Competencies and skills:
Nonessential:
Planning and coordinating organizational change
Anticipating & addressing customer needs
Educating employees, customers & transferring knowledge
Functioning as an effective contingent member
Diagnosing & resolving problems
Acquiring & applying superior skills to achieve quality outcomes
Functioning as an effective team member
Benefits:
Benefits
Benefits are effective day-one (for .45 fte and above) and include:
Competitive salaries
Full medical, dental and vision insurance
Flexible spending accounts (fsas)
Free wellness programs
Paid time off (pto)
Retirement plans, including matching employer contributions
Continuing education and career development opportunities
Life insurance and short/long term disability programs
About us
Presbyterian healthcare services is a locally owned, not-for-profit healthcare system of nine hospitals, a statewide health plan and a growing multi-specialty medical groupFounded in new mexico in 1908, it is the state`s largest private employer with approximately 11,000 employeesPresbyterian`s story is really the story of the remarkable people who have chosen to work hereStarting with reverend cooper who began our journey in 1908, the hard work of thousands of physicians, employees, board members, and other volunteers brought presbyterian from a tiny tuberculosis sanatorium to a statewide healthcare system, serving more than 700,000 new mexicans.
We are part of new mexico`s history - and committed to its futureThat 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`s unique blend of spanish, mexican and native american influences contribute to a culturally rich lifestyleAdd in albuquerque`s international balloon fiesta, los alamos` nuclear scientists, roswell`s visitors from outer space, and santa fe`s artists, and you get an eclectic mix of people, places and experiences that make this state great.
Cities in new mexico are continually ranked among the nation`s best places to work and live by forbes magazine, kiplinger`s personal finance, and other corporate and government relocation managers like worldwide erc.
New mexico offers endless recreational opportunities to explore, and enjoy an active lifestyleVenture off the beaten path, challenge your body in the elements, or open yourself up to the expansive skyFrom hiking, golfing and biking to skiing, snowboarding and boating, it`s all available among our beautiful wonders of the west.
Aa/eoe/vet/disabledPhs is a drug-free and tobacco-free employer with smoke free campuses.
