Education, Knowledge, Skills, and Experience
Required Education:
- Bachelor’s Degree in a healthcare or technical field; or four (4) years of relevant experience in lieu of degree.
Required Knowledge:
- Understanding of healthcare interoperability standards like HL7 v2, HL7 FHIR, X12, NCPDP Script, CDA, etc.
- Understanding of healthcare coding and terminology standards like ICD, Snomed, LOINC, RxNorm, CPT, etc.
- Good understanding of claims data (medical, Rx, enrollment/eligibility)
- Experience working with EMR/EHR systems and an understanding of the healthcare clinical domain.
- Knowledge of value-based contracting in healthcare.
- Familiarity with development methodologies and processes.
- Some knowledge of cloud services like Amazon Web Services.
- Knowledge of healthcare data standards (e.g. HL7, FHIR) and regulatory requirements (e.g. HIPAA).
Preferred Knowledge:
- Knowledge of database design, data modeling and standardized data structures.
- Expertise in value-based care concepts and structuring claims & other data to support product development.
- Familiarity with designing, implementing, and loading custom data models that reflect real-world problems.
- Experience mentoring other data engineers and analysts.
Required Experience:
- Minimum five (5) years [nine (9) for non-degreed candidates] of experience working with healthcare standards, data and processes.
Preferred Experience:
- Eight (8) or more years of experience in working with healthcare standards, data and processes.
Required Skills:
- Experience standardizing healthcare data.
- Experience working with FHIR data and standard terminologies.
- Ability to analyze healthcare data from a mix of sources and combine the data appropriately.
- Proficient in data science techniques and data manipulation using tools like Python and Jupyter Notebooks.
- Proficient in Structured Query Language (SQL).
- Experience working in a cloud-based infrastructure.
- Experience with ETL processes and tools.
- Skilled in writing and understanding code for technologies focused on data acquisition and transformation
- Excellent analytical and troubleshooting skills with attention to detail.
- Excellent logical and problem-solving capabilities.
- Strong organizational skills and the ability to prioritize work.
- Effective verbal and written communication skills.
- Ability to work with limited supervision and as part of a team.
Preferred Skills:
- Experience writing clinical rules using standard code systems.
- Experience deploying AWS lambda functions using JavaScript in a serverless architecture.
- Experience designing and building data visualizations
- Experience calculating cost of care for various use cases using claim or billing data.
- Experience identifying care variation and its possible causes.
- Experience creating analytics focused on patient outcomes.
- The ability to articulate issues in both technical and layman terms to both internal and external audiences.
- Proficiency with developing, maintaining, monitoring, optimizing, and troubleshooting SQL or other advanced analytic tools to perform data extraction and query functions.
Physical requirements
Vision, hearing, speech, movements requiring the use of wrists, hands and/or fingers. Must have the ability to view a computer screen for prolonged periods and the ability to sit for extended periods. Must have the ability to work the hours and days required to complete the essential functions of the position, as scheduled. The employee occasionally lifts to 20 lbs. and occasionally kneels and bends. Must have the ability to travel occasionally. Working condition include normal office setting.
Mental Demands
Learning, thinking, concentration and the ability to work under pressure, particularly during busy times. Must be able to pay close attention to detail and be able to work as a member of a team to ensure excellent customer service. Must have the ability to interact effectively with co-workers and customers, and exercise self-control and diplomacy in customer and employee relations’ situations. Must have the ability to exercise discretion as well as appropriate judgments when necessary. Must be proactive in finding solutions.
Direct Reports
No
EEO/AAP Statement
FFF Enterprises/Nufactor is an equal opportunity employer to all and prohibits discrimination and harassment based on the following characteristics: race, color, caste, religion, religious creed (including religious dress and grooming practices), national origin, ancestry, citizenship, physical or mental disability, medical condition (including cancer and genetic conditions), genetic information, marital status, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender, gender identity, gender expression, age (40 years and over), sexual orientation, veteran or military status, medical leave or other types of protected leave (requesting or approved for leave under the Family and Medical Leave Act or any state protected leaves), domestic violence victim status, political affiliation, reproductive health decision-making, and any other characteristic protected by state or federal anti-discrimination law covering employment. These categories are defined according to Government Code section 12920. The Company prohibits unlawful discrimination based on the perception that anyone has any of those characteristics or is associated with a person who has or is perceived as having any of those characteristics.
