Senior Healthcare Data Analyst, Commercial

at  HealthVerity

• This position will be primarily focused on supporting a client (onsite 2x/week) and empowering them to generate RWE by fully leveraging HealthVerity-licensed data and identifying potential for licensing new data.

REQUIRED SKILLS AND EXPERIENCE

• Graduate degree in Epidemiology, Biostatistics, Clinical Informatics, or related quantitative field
• Team player who takes initiative and works collaboratively with colleagues across all levels of the organization
• At least 3 years’ experience in a consultative, client-facing role
• Understanding of commercial data landscape and knowledge of analytics approaches in pharma including descriptive and predictive analytics
• At least 3 years’ experience using SQL, programming against large relational databases leveraging interoperably-linked, patient-level data at scale
• At least 3 years’ experience using transactional claims data and codified healthcare data standards (e.g. ICD, CPT, HCPCS, CVX, LOINC, NUCC, NPPES, etc.)
• Experience evaluating fit-for-purpose data and implementing research protocols for specific healthcare and life sciences-related research questions and use cases, such as Commercial, HEOR/RWE, R&D
• Experience presenting to business-focused and/or technical-focused audiences, particularly for the purpose of training
• Ability to be onsite 2x/week at client in the NJ/Philadelphia area

DESIRED SKILLS AND EXPERIENCE

• Healthcare data expert across various data types (e.g. open/closed claims, inpatient/ambulatory EMR, commercial labs, social determinants, etc.)
• Exposure to a wide range of healthcare industry business segments (pharma, biotech, government, consulting, healthcare payer/provider)
• Evangelist and champion of RWD/RWE
• Skilled at educating, presenting, and demonstrating analytical concepts to internal and external audiences
• Strong communicator (both verbally and in writing) with the ability to translate client needs into actionable data insights
• Experience supporting business development activities
• Experience owning and managing projects with the ability to identify and mitigate risk to intended outcomes
• Highly organized, consultative, and proactive critical thinker/problem solver
• Committed to personal and professional continuous development
• Exceptional attention to detail
• Experience coding in Python
• Thrives in a rapidly-changing, fast paced environment
  Base salary for the role is commensurate with experience + annual bonus opportunity.

• Empower client utilizing best-in-class observational research by providing on-site analytic support
• Provide hands-on analytic guidance for Commercial (e.g. Triggers, Market Access, Patient Services, Marketing, Sales, etc.), HEOR/RWE (e.g. patient outcome studies, FDA safety studies, etc.) and R&D (e.g. clinical trial recruitment, etc.) use cases
• Develop and lead quarterly trainings and host weekly office hours for the client
• Efficiently query multiple clinical data types using SQL to identify populations of interest in HVM data and assess using univariate analysis and data investigations
• Develop and communicate technical, clinical, operational, and business specifications to internal and external teams
• Work cross-functionally with sales and data delivery teams to support operational processes to deliver data licensing projects on time and with accuracy