[Remote] Manager of HEOR Analytics

Note: The job is a remote job and is open to candidates in USA. Integra Connect is a value-based, precision medicine company specializing in Health IT and digital health solutions. The Manager of HEOR Analytics will generate real-world insights using large healthcare datasets to support pharmaceutical and healthcare provider organizations, focusing on value-based care and real-world evidence generation.

Responsibilities

• Assists in the creation of data-driven insights for Pharma, Biotech and healthcare providers organizations
• Collaborates closely with the software teams to transform claims; electronic health record, 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
• Performs data preparation, cleansing, and application of business rules to ensure analytical datasets accurately represent real-world treatment patterns
• Conducts analyses describing outcomes, treatment patterns, lines of therapy, and variability in clinical practice
• 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
• Conducts and supports scientific projects culminating in scientific abstracts and peer reviewed papers

Skills

• Bachelor's degree in statistics, data science, health sciences, economics, epidemiology, or a related quantitative field
• 2+ years of experience in healthcare analytics, health services research, outcomes research, real-world evidence (RWE), or a related analytical function
• Foundational knowledge of oncology disease areas, treatment paradigms (e.g., chemotherapy, immunotherapy, targeted therapy), and clinical outcomes research
• Experience working with healthcare datasets, including claims, EMR/EHR data, laboratory data, or other real-world data sources
• Proficiency in data analysis and statistical programming tools such as SQL, R, Python, SAS, or similar platforms
• Ability to perform descriptive and survival analyses (e.g., Kaplan–Meier) and interpret findings in a clinical or research context
• Experience using data visualization and business intelligence tools (e.g., Power BI, Tableau, Qlik)
• Strong analytical, problem-solving, and data interpretation skills with attention to detail
• Experience contributing to scientific publications, conference abstracts, or technical reports
• Ability to support development of Methods and Results sections for scientific manuscripts, abstracts, or internal research deliverables
• Strong SQL experience with the ability to extract, transform, and analyze large datasets from relational databases
• Experience with healthcare data models and standards, such as OMOP, SDTM, or similar frameworks
• Experience conducting real-world evidence or observational research, including cohort creation and outcomes analyses
• Familiarity with cloud computing environments (Azure, AWS, or similar platforms)
• Exposure to machine learning or predictive modeling approaches in healthcare analytics
• Experience with genomics, biomarker, or precision medicine datasets is a plus
• Understanding of clinical oncology practice and treatment decision pathways, particularly in interpreting healthcare data
• Strong written and verbal communication skills with the ability to translate analytical results into actionable insights
• Proactive and intellectually curious with a strong desire to learn
• Collaborative team player who thrives in cross-functional environments
• Creative problem solver with the ability to work in a fast-paced, data-driven organization
• High level of professionalism, accountability, and attention to quality

Benefits

• Medical/Dental/Vision Insurance beginning the 1st of the month following your date of hire
• Paid Time Off
• 401k with employer match
• Paid Holidays and Floating Holiday

Company Overview

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