
501 - 1000 employees
🧬 Biotechnology
💊 Pharmaceuticals
💰 $450M Post-IPO Debt - BioCryst Pharmaceuticals on 2023-04
Biotechnology • Pharmaceuticals
BioCryst Pharmaceuticals, Inc. is a global biotechnology company focused on the discovery, development, and commercialization of novel oral small-molecule and protein therapeutics for rare diseases, notably hereditary angioedema (HAE). Founded in 1986, BioCryst uses structure-guided drug design, medicinal chemistry, and advanced technologies to develop first-in-class or best-in-class medicines, and works closely with patients, advocacy groups, and global partners to bring treatments to market.
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501 - 1000 employees
🧬 Biotechnology
💊 Pharmaceuticals
💰 $450M Post-IPO Debt - BioCryst Pharmaceuticals on 2023-04
Biotechnology • Pharmaceuticals
BioCryst Pharmaceuticals, Inc. is a global biotechnology company focused on the discovery, development, and commercialization of novel oral small-molecule and protein therapeutics for rare diseases, notably hereditary angioedema (HAE). Founded in 1986, BioCryst uses structure-guided drug design, medicinal chemistry, and advanced technologies to develop first-in-class or best-in-class medicines, and works closely with patients, advocacy groups, and global partners to bring treatments to market.
• Manage and execute data operations between BioCryst system and downstream partners • Oversee risk management and data operations of key systems. • Act as an internal advisor to various internal functional teams. • Establish and maintain a data and risk documentation repository. • Support data operations for implementation of specific system platforms. • Coordinate and manage data flows between internal sources and external vendors. • Collaborate with Commercial departments to size field force territories. • Ensure compliance with US, Japanese Canadian data privacy and security regulations.
• Bachelor’s degree required; MBA or other advanced degree preferred. • 6+ years of relevant commercial experience in biotech/pharma required, 6+ years preferred or an equivalent combination of education and experience. • Strong understanding of biopharma commercial data operations and sales data analytics infrastructure. • Analytical -- uses data to drive strategic decision-making. • Relevant experience with specialty pharma data preferred. • Relevant experience with rare disease states preferred.
• Health insurance • 401(k) matching • Paid time off • Flexible work arrangements
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