The Manager, HEOR Analytics is a key member of the HEOR and Commercial Analytics team within the PrecisionQ business unit. This role is responsible for generating real-world insights using large healthcare datasets to support pharmaceutical, biotechnology, and healthcare provider organizations.

The individual will work with de-identified electronic medical record (EMR), claims, pharmacy, and genomic datasets to develop analytics that inform healthcare decision-making, support value demonstration, and improve understanding of patient outcomes.

This position focuses on applying advanced healthcare analytics to generate insights that support value-based care, oncology research, 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.

Bachelor’s degree in statistics, data science, health sciences, economics, epidemiology, or a related quantitative field. Master’s degree preferred.
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.

Preferred Qualifications:

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:

Integra Connect, LLC provides a comprehensive benefits plan

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

Equal Opportunity Employer

Please note that the deadline for submitting applications is April 30, 2026. All applications must be receivd by this date to be considered.

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Manager of HEOR Analytics