Senior Manager, Translational Modeling

🕒 June 23

🌲 North Carolina – Remote

🌲 North Carolina – Remote

⏰ Full Time

🟠 Senior

🌎 Translator / Interpreter

👻 Ghost score 16%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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BioCryst Pharmaceuticals, Inc.

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

💰 $450M Post-IPO Debt - BioCryst Pharmaceuticals on 2023-04

Healthcare • Consulting • Logistics

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.

📋 Description

• Provide expert mathematical modeling to lead development of mechanistic modeling strategy for drug discovery, and early development through clinical with a strong focus on biologics, and protein therapeutics. • Lead the design, implementation, calibration, validation, and documentation of mechanistic modeling approaches to address MIDD questions across programs. • Develops PBPK, PK/PD, QSP models, and mechanistic pathway models, ensuring scientific rigor and consistency. • Drive translational modeling strategies to support discovery and early development decision-making. • Integrate data from multiple sources (in vitro, in vivo, and emerging datasets) to build robust translational models. • Collaborate closely with cross-functional stakeholders (DMPK, toxicology, bioanalytical, biology, clinical pharmacology) to ensure alignment and impact of modeling approaches. • Present modeling strategies, results, and recommendations to cross-functional teams and guide program discussions. • Guide study design and data generation strategies to maximize translational value. • Author and review modeling components of regulatory documents (e.g., IND-enabling packages, briefing materials) and support regulatory interactions as needed. • Promote and implement best practices in modeling workflows and ensure high-quality, reproducible outputs. • Evaluate and apply emerging methodologies, including AI/ML, to enhance modeling capabilities. • Coordinate modeling deliverables across assigned programs and ensure timelines and quality expectations are met. • Contribute to external scientific engagement through publications and conference presentations.

🎯 Requirements

• PhD in systems biology, chemical, mechanical or biomedical engineering, biochemistry, physics, applied mathematics, bioinformatics, or scientific computing. • Minimum of 5 years of experience in pharma/biotech with significant experience in translational modeling. • Strong proficiency in scientific computing and programming, with strong preference for Matlab/SimBiology. • Extensive experience developing and applying mechanism-based mathematical models of biological systems. • Proven experience with MIDD approaches in particular with PBPK and QSP modeling workflows across multiple programs with a track record of translational modeling impacting program cadence/success. • Strong understanding of translational science and drug development from discovery through early development and related disciplines (pharmacometrics, pharmacology, pharmacodynamics, toxicology, bioanalytics). • Demonstrated ability to contribute to and guide program-level decision-making using modeling and simulation approaches. • Track-record of utilizing M&S to guide experimental design specific to modality-driven target hypotheses. • Strong analytical, problem-solving, and data interpretation skills. • Excellent written and oral communication skills with the ability to influence cross-functional teams.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Professional development opportunities