Integra Connect · 1 day ago

Manager of HEOR Analytics

United States

Full-time

Remote

Mid, Senior Level

$100K/yr - $120K/yr

2+ years exp

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Hiring Manager

Cathy Robinson

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Responsibilities

The Manager, HEOR Analytics will drive the creation of data driven insights for Pharma, Biotech, and healthcare providers.

Collaborate closely with the software teams to transform curated healthcare claims (e.g. part B, Part D, CM,S and payer); electronic health records, pharmacy dispensing, patient-reported outcomes, primary market research, and other source data types into high-value information/knowledge to satisfy required project output for pharmaceutical, diagnostics, device manufacturers.

Drive data cleansing, and adjustment to business rules, to accurately reflect real-world pharmacoeconomics.

Therapeutic areas include oncology and urology.

Typical engagements involve the measurement of the value of healthcare interventions on outcomes.

The Manager may attend key (scientific/medical) conferences; identify emerging trends; contribute to publications and collaboratively support the expansion of PQ HEOR.

Conduct and support scientific projects culminating in scientific abstracts and peer-reviewed papers.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Oncology expertiseHealthcare data analysisStatistical programming toolsHealth services researchOutcomes researchData analyticsForecastingBusiness Intelligence toolsMaster’s DegreeSurvival analysisExcelSPSSSASRPythonSQLPowerBI

Required

Bachelor’s Degree in the sciences, economics, or related field.

2+ years of experience working in health services research, outcomes research, data analytics, forecasting, or other relevant business units.

Experience analyzing healthcare data (including oncology medical claims, remits, EMR, and payor claims).

Ability to analyze health care data, ideally with statistical and/or programming tools e.g. Excel, SPSS, SAS, R, Python, and/or SQL.

Familiarity with Business Intelligence and other visualization tools (ideally PowerBI).

Preferred

Master’s Degree preferred.

Oncology expertise from a scientific, medical, or pharmaceutical background with a basic understanding of the mechanism of oncology, basic analytics (e.g. survival analysis), and common therapies (chemo, IO, etc) preferred.