Data Science Lead

Position: 

Data Science Lead

Department: 
CAQH Solutions
Reports To: 

Director, Technology

Deadline: 
Thursday, February 13, 2020

Data is CAQH’s most critical asset. You will change how we understand and work with it. CAQH is seeking a hands-on leader for our Health Data Science team. The Data Science Lead will take the prime role in analyzing and delivering results based on large health care databases – from CAQH, from health plans and third parties. They will preferably have experience in health plan performance and quality measurement and comparative effectiveness analysis. As a senior member of the Solutions team, the selected individual will contribute to business development activities and will mentor the research staff. The successful candidate can understand content area, determine what the data means, define analysis plans, select appropriate statistical methods, conduct quantitative analysis, program solutions in statistical or other programming languages, ensure an effective quality analysis plan, and communicate with clients. This is a highly technical and applied leadership position requiring experience with data science, algorithms, software development and large-scale databases.

This role is full-time exempt position and reports to the Director, Technology. 

Specific Responsibilities: 
  • Set the direction and development of CAQH’s research and performance measurement activities by generating research ideas, investigating data and developing data design and data structures related to the projects.
  • Build, lead and mature a Data Science team to support the breadth of CAQH needs. Work within the team and across our products on the design, execution, and reporting of projects. Engage the data team to enhance their intellectual curiosity and technical skills.
  • Study our data from multiple angles, determine what the data means and recommends the best possible way to analyze it. Spot trends and patterns determining what is noise and what is good data and convey that understanding to others.
  • Develop analytical plans for research and analytics including: algorithm selection (data mining, machine learning etc.), advanced probability & statistics, predictive modeling, machine learning, relational database design, program design, selection of statistical methods and development of formats.
  • Conduct programming tasks and statistical analyses including preparation and cleaning of data, implementation and refinement of statistical methods, preparation of results, creation of databases and other outputs, and verification of the accuracy of results. Participate in quality assurance processes.
  • Lead, design, plan, and execute programming approaches to support various development projects. Code at an expert level in applications such as SAS, R, Python. Drive relational database design as well as the use of MongoDB and Hadoop/HDF.
  • Present analytic results to customers, CAQH staff and other researchers incorporating descriptions of methods, relevant literature, and other background material to provide context for the results.
  • Represent CAQH to technical and business audiences. Advance the company’s reputation as a leading provider of quality assured provider data. Enhance CAQH reputation for scientific leadership in performance measurement through publications, conference talks, etc.
  • Lead technical (econometric modeling/statistics) reviews of health-related proposals and deliverables

Supervisory Responsibility:

Manage a small but growing data science team, ensuring they deliver against current commitments and can grow into our future needs.

Knowledge, skills and abilities: 
  • Strong quantitative skills, including random assignment evaluation, quasi-experimental design, and mixed method evaluation strategies. Skilled at developing and applying univariate and multivariate modeling techniques, hypothesis testing.
  • Proficiency in statistical software packages strong programming skills in other languages such as Python, C# or Java required. Certifications a plus.
  • Excellent ability to communicate complex technical material, both orally and in writing with the ability to explain complex models and analysis in layman terms.
  • Preferably an extensive knowledge of one or more of the following areas: Medicare, Medicaid, comparative effectiveness, provider data.
  • A track record of publications is a plus.
Experience: 
  • Five+ years of experience delivering algorithm innovation into commercial software-based products.
  • Three or more years of experience analyzing large datasets.
  • Three or more years as a lead with experience in managing a team.
Education: 
  • Master’s degree (PhD preferred) in Mathematics or Computer Science with experience in health services research, applied statistics or a combination of education and experience which demonstrates the necessary skills and abilities.
PDF version: 
Download (32.74 KB)
Employment Type: 
FULL_TIME
Hiring Organization: 
CAQH

WHAT YOU GET:

CAQH recognizes that its most important asset is its growing team of smart, creative, collaborative, forward-thinking and passionate professionals – and that a comprehensive employee benefits package is an important factor for them in choosing where to work. CAQH offers competitive compensation along with an extensive benefits package for all full-time employees, including medical, dental and vision coverage, tuition assistance and a 401k. Our location in downtown Washington, DC is metro-accessible, has an onsite fitness center and is centrally located to allow our team to take advantage of professional networking opportunities, cultural offerings and a thriving social scene.
 

Who we are:

Named one of the "Best Places to Work" by Modern Healthcare for three consecutive years, CAQH, a non-profit alliance, is the leader in creating shared initiatives to streamline the business of healthcare. Through collaboration and innovation, CAQH accelerates the transformation of business processes, delivering value to providers, patients and health plans. Our initiatives include:

  • COB Smart® quickly and accurately directs coordination of benefits processes.
  • EnrollHub® reduces costly paper checks with enrollment for electronic payments and electronic remittance advice.
  • CAQH ProView® eases the burden of provider data collection, maintenance and distribution.
  • DirectAssure® increases the accuracy of health plan provider directories.
  • VeriFideTM streamlines credentialing by consolidating and standardizing primary source verification.
  • SanctionsTrack® delivers comprehensive, multi-state information on healthcare provider licensure disciplinary actions. 
  • CAQH CORE® maximizes business efficiency and savings by developing and implementing national operating rules.
  • CAQH Index® benchmarks progress and helps optimize operations by tracking industry adoption of electronic administrative transactions.