Data Scientist (Pharmaceutical Manufacturing)

Location: Thousand Oaks, California, United States

Company

hirify.global is a biotechnology company developing and manufacturing medicines for serious illnesses across oncology, inflammation, general medicine, and rare disease.

What you will do

• Develop and maintain data pipelines, curated datasets, analytical data products, and reporting layers using Python, SQL, and cloud data platforms.
• Build dashboards and visual analytics for external supply, manufacturing status, inventory, supplier performance, procurement, operational trends, and risk management.
• Apply statistical, predictive, anomaly detection, optimization, and machine learning methods to generate insights and support scenario analysis.
• Integrate structured and unstructured data from ERP, supply planning, procurement, manufacturing, quality, finance, and external partner systems.
• Automate recurring reports, data preparation, and manual analyses while supporting scalable data models, architecture, and reusable solutions.
• Partner with business and technical stakeholders to translate requirements into governed, documented, and actionable analytical solutions.

Requirements

• Master's degree, or a bachelor's degree with 2 years of Data Scientist experience, or equivalent experience based on an associate's degree or high school diploma/GED.
• Proficiency in Python and strong SQL skills for data processing, automation, analytics, transformation, and large datasets.
• Experience with dashboards or visual analytics using Tableau, Power BI, or similar platforms.
• Experience with cloud databases or platforms such as Databricks, AWS, Azure, Google Cloud, or similar technologies.
• Knowledge of data engineering, ETL/ELT, data modeling, data integration, data quality, orchestration, version control, and data governance.
• Ability to work cross-functionally, communicate analytical findings clearly, and maintain data integrity and compliance in a regulated environment.

Nice to have

• Experience in pharmaceutical, biotechnology, life sciences, regulated manufacturing, or another complex operational environment.
• Knowledge of external supply, contract manufacturing, GMP operations, supplier management, material planning, logistics, finance, or procurement.
• Experience with SAP, MES, LIMS, Veeva, procurement platforms, or external partner data sources.

Culture & Benefits

• Collaborative, innovative, science-based work environment.
• Health, dental, vision, life, disability, and flexible spending benefits for eligible employees and dependents.
• Retirement and savings plan with company contributions and stock-based long-term incentives.
• Annual bonus program, award-winning time-off plans, and career development opportunities.
• Flexible work models may be available where applicable to the role.

Hiring process

• Applications are accepted until a suitable candidate is selected; there is no fixed application deadline.
• Reasonable accommodation is available for candidates participating in the application or interview process.