Company Overview:

Cohere Health is a fast-growing clinical intelligence company that’s improving lives at scale by promoting the best patient-specific care options, using cutting-edge AI combined with deep clinical expertise. In only four years our solutions have been adopted by health plans covering over 15 million lives, while our revenues and company size have quadrupled.  That growth combined with capital raises totaling $106M positions us extremely well for continued success. Our awards include: 2023 and 2024 BuiltIn Best Place to Work; Top 5 LinkedIn™ Startup; TripleTree iAward; multiple KLAS Research Points of Light awards, along with recognition on Fierce Healthcare’s Fierce 15 and CB Insights’ Digital Health 150 lists.

Opportunity overview

We are looking for innovative and creative individuals who serve as a professional role model in promoting the understanding, integration, and application of information technology in healthcare settings.This role acts as a liaison between clinical care and information technology. 

As a growing organization, we have built a team of talented and experienced people who are passionate about helping providers and patients and this is a position that offers the ability to make a substantial impact on the company with rapid growth opportunities. 

What you will do: 

• Serve as the bridge between clinicians, data science, engineering in planning, implementing, validating, executing and maintaining optimization care strategy
• Utilize data, industry trends, and best practices to support the development of consulting methodologies that will facilitate the use of health information technology 
• Supports data analytics, including quality of care measures and risk analysis, to identify opportunities to improve patient health outcome
• Incorporating evidence based practice standards of care in the design and optimization of systems.
• Translate high level clinical hypotheses into data (claims, member and/or attachment) analysis requirements
• Solving complex problems utilizing critical thinking skills with minimal guidance.

Your background & requirements:

• 5 years of working as clinical informatics and/or clinical content management in healthcare settings
• Master’s degree/ Bachelor’s Degree in Health Administration, Public Health or other health related field of study (e.g. nursing, pharmacy, medical research, bioinformatics, engineering, or related field). 
• Strong understanding of clinical workflows, healthcare operations, quality improvement, and regulatory compliance.
• Self-starter, able to work independently, able to succeed in a fast-paced, high intensity start-up environment
• Strong understanding of current billing practices in provider facilities 
• Experience in working with clinical ontologies (SNOMED, RxNorm, ICD-10, LOINC, CPT, HCPCS, etc) and health interoperability standards (HL7, FHIR, USCDI) preferred
• Experience developing and supporting patient risk stratification, claims encounter grouping, and modeling with data scientists/ analysts/ engineers.
• Registered Nurse (RN), Certified Pharmacy Technician (CPhT), or other clinical certification (preferred)
• Clinical informatics (e.g. CPHIMS, AHIC, ACHIP) preferred
• Knowledge of STARs, HEDIS and other clinical / financial metrics in healthcare (preferred)
• Familiarity (able to mostly read) with common data analysis tools and platforms (e.g., SQL, Python). Bonus points for the ability to write in these languages, but not required.

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

The salary range for this position $95,000 to $115,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment.