Assoc. Director, Global Data Science Operations

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 Indicators, develop dashboards, and deliver insights that inform brand performance, sales projections, and market access strategies.
• Continuously monitor and evaluate new data sources and analytical tools to enhance the organization’s data capabilities.
• Communicate findings and recommendations clearly to both technical and non-technical stakeholders.
• Ensure data integrity, compliance, and alignment with regulatory standards.
• Partner with IT and engineering teams to design and scale data pipelines, storage solutions, and compute environments that support advanced analytics workloads.
• Assess and recommend tools, platforms, and architectures for data ingestion, transformation, and model deployment.
• Contribute to the development of data governance frameworks and metadata management practices.
• Monitor and optimize the performance of analytics infrastructure to ensure scalability, reliability, and cost-efficiency.
• Work with Global Data Analytics on integrating disparate data sources to provide a holistic view of key customer interactions and activity as well as measurement of key organizational initiatives
• Establish & coordinate data flow between internal sources and external vendors
• Ensure compliance with US and international data privacy and security regulations
• All other duties as assigned

EXPERIENCE & QUALIFICATIONS:

• Master’s or PhD in Data Science, Statistics, Math, Computer Science, or a related field.
• 3–5 years of experience in a data science role, preferably within the pharmaceutical or biotech industry.
• Proficiency in Python, R, SQL, data visualization tools (e.g., Tableau, Power BI, Jupyter, GOplot), and common data manipulation libraries (NumPy, pandas, polars, etc.).
• Experience with machine learning frameworks (e.g., PyTorch, scikit-learn, TensorFlow, XGBoost) and cloud platforms (e.g., AWS, Azure, GCP)
• Strong understanding of clinical trial data, healthcare claims, or real-world data is a plus.
• Strong understanding of current trends in applied machine learning or prior demonstrated machine learning research is a plus, especially in time-series or natural language processing applications.
• Excellent communication and collaboration skills.
• Demonstrated ability to operate in a fast-paced, high-growth environment.
• Strong understanding of biopharma commercial data operations and sales data analytics infrastructure.
• Creative thinker; self-directed; able to develop a plan, gain alignment, and execute.
• Highly collaborative; flexible and can work easily across functions; comfortable leaning into all aspects of a commercial business and making recommendations to optimize company or team approach.
• Can build and maintain strong customer and partner relationships.
• Strong ability to drive execution through an organization.
• Relevant experience with specialty pharma data preferred.
• Relevant experience with rare disease states preferred.

The statements in this position description are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. The manager may assign additional responsibilities and assignments from time to time.

BioCryst is an equal opportunity employer and is committed to providing equal employment opportunities without regard to age, race, religion, sex, sexual orientation, gender identity, national origin, Veterans status, disability and/or other protected class characteristics. Additionally, BioCryst is committed to achieving its business objectives in compliance with all federal, state and local law.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.