Assoc. Director, Global Data Science Operations

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

Not verified checked Jun 13, 2026

Salary

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401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Assoc. Director, Global Data Science Operations US_North Carolina_Remote COMPANY: At BioCryst, we share a deep commitment to improving the lives of people living with hereditary angioedema (HAE) and other rare diseases. We leverage our expertise in structure-guided drug design to develop first-in-class or best-in-class oral small-molecule and injectable protein therapeutics, led by the efforts of our team of expert scientists in our Discovery Center of Excellence in Birmingham, Alabama. Our global headquarters is in Durham, North Carolina and our employees span the globe across sites in multiple countries. We are proud of our culture of engagement and accountability that rewards people for innovative thinking and achievement of key objectives. For more information, please visit our website at www.biocryst.com or follow us on LinkedIn and Instagram. JOB SUMMARY: We are seeking a highly motivated Data Scientist to join our Strategic Data Insights and Operations team. This role will support the development and execution of advanced analytics strategies across corporate, commercial, medical, and clinical domains. The ideal candidate will bring a strong foundation in data science, strong knowledge in machine learning, a passion for improving patient outcomes, and the ability to translate complex data into actionable insights that drive strategic decisions. ESSENTIAL DUTIES & RESPONSIBILITIES: Design and implement predictive models, machine learning algorithms, and statistical analyses to support business decisions across Commercial, Medical Affairs, and Clinical Operations. Integrate and analyze large-scale datasets, including anonymized patient-level data (APLD), real-world evidence (RWE), and internal operational data. Collaborate with cross-functional teams to define Key Performance

Read the full description at biocryst.wd501.myworkdayjobs.com. FewerJobs shows a preview and links to the original posting.