Engineering Manager & Architect Data Science & ML
Posted Apr 4, 2026
Key Responsibilities:
- Perform statistical analysis and apply advanced statistical modeling techniques
- Design, train, and optimize machine learning and deep learning models
- Deploy models into production environments and ensure reliable model serving and scalability
- Build and maintain robust GxP-compliant ML pipelines on cloud infrastructure
- Evaluate model performance using appropriate metrics and continuously improve accuracy and efficiency
- Collaborate with cross-functional teams to translate requirements into data-driven solutions
- Monitor deployed models for performance drift and retrain models as necessary
- Ensure best practices in model versioning, reproducibility, and documentation
- Conduct hands-on code reviews, architectural reviews, and model performance evaluations for all team deliverables
Qualifications Required:
- Degree in Statistics, Machine Learning, Computer Science, Biostatistics, Chemical Engineering, Pharmaceutical Sciences, or related quantitative field
- Bachelors degree considered only with 8+ years of directly relevant hands-on experience
- 5+ years of hands-on data science and ML engineering experience, with at least 3 years in a technical leadership or architect role
- Proven track record of building and shipping production ML models at scale
- 5+ years of experience in the pharmaceutical, biotech, or medical device industry in a technical role involving process data, quality analytics, or statistical modeling