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Sr. Manager of Talent Acquisition @ Integra Connect | Healthcare
Company Summary:
We are a value-based, precision medicine company specializing in Health IT, real-world data, and digital health solutions for specialty providers, payers, and life sciences companies.Through the provision of technology products and technology-enabled services, along with unmatched clinical expertise, we are able to close gaps in care, improve patient outcomes, generate real-world evidence, and accelerate and augment customer commercial success across the healthcare value chain. We are looking for like-minded individuals committed to making a difference in healthcare. Come join our growing team!
Job Description:
The Manager of Commercial Analytics will be a key member on the HEOR and Commercial Analytics team within the PrecisionQ – Precision Care Quantified – business unit. The individual will work to generate insights and create novel analytical output for Pharma, Biotech and the Healthcare sector in the Precision Medicine space. The analyses will be based on de-identified health care data from Electronic Medical Records, health claims, pharmacy claims and genomics data for Oncology, Urology and other patients.
This position is focused on insight generation that help drive Value-Based Care for Cancer & Urology Patients by lowering cost and improving outcomes: Come join one of the hottest companies that is revolutionizing healthcare!
Responsibilities:
The Manager of Commercial 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, CMS and payer); 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.
Drive data cleansing, and adjustment to business rules, to accurately reflect real world treatment.
Therapeutic areas include oncology and urology.
Typical engagements involve current treatment landscape, market share by line of therapy, patient journey, describing variability in practice patterns and uncovering areas of opportunity/unmet need.
The Manager may attend key (scientific/medical) conferences; identify emerging trends; contribute to publications and collaboratively support the expansion of PQ commercial analytics.
Conduct and support scientific projects culminating in scientific abstracts and peer reviewed papers.
Qualifications:
Bachelor’s Degree in the sciences, business administration, or related field.Master’s Degree preferred
2+ years of experience working at market research, data analytics, forecasting or other relevant business units.
Oncology expertise from a scientific, medical or pharmaceutical background with basic understanding of the mechanism of oncology, basic analytics (e.g. survival analysis) and common therapies (chemo, IO etc) preferred.
Experience analyzing healthcare data (including oncology medical claims, remits, EMR, payor claims).
Science, Analytics, or Healthcare related degree.
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 Qualifications:
SQL (or similar) database language required. Should be able to extract data from relational databases and generate analytics in SQL.
PowerBI experience preferred, or other similar visualization/BI tools (Tableau, QlikView, etc.).
Understanding of statistics and health analytics (e.g. Kaplan-Meier).
Machine Learning experience.
Medical/Scientific writing experience, including conference abstracts.
Statistical programming in R (or Python/Perl etc.) and intermediate understanding of statistics.
Experience with common clinical data models (e.g. OMOP, SDTM) and ontologies (e.g. Snomed).
Experience with Azure, AWS or other cloud vendors.
Genomics and Bioinformatics experience.
Understanding of oncology and/or urology physician practice, disease treatment considerations and its application to interpretation/conversion of healthcare data.