About Us
Polymodels Hub Ltd is expanding its team to deliver innovative, model-driven solutions to pharmaceutical and biotech customers. We are seeking a Lead Data Scientist to spearhead advanced process modeling initiatives and lead large-scale global projects. This role is ideal for a professional with a strong technical foundation, proven project management expertise, and a passion for solving complex challenges in the pharmaceutical industry.
Responsibilities
Leadership & Project Management
- Lead global projects, coordinating specialized small teams across multiple regions to ensure successful and timely delivery of outcomes.
- Develop and manage detailed project plans, timelines, and deliverables while proactively identifying risks and ensuring alignment with client objectives.
- Serve as the primary technical point of contact for clients, fostering strong relationships and exceeding stakeholder expectations.
Machine Learning for Process Monitoring
- Design and deploy machine learning algorithms for process monitoring, anomaly detection, and predictive analytics, with a focus on maximizing process efficiency and minimizing batch loss.
- Strategically integrate machine learning techniques into advanced workflows to improve anomaly detection and alerting strategies.
Advanced Process Modeling
- Develop and implement advanced mechanistic, hybrid, and data-driven models to support process optimization and scale-up initiatives.
- Ensure models align with ICH guidelines and pharmaceutical regulatory standards while utilizing platforms such as SIMCA for model deployment and monitoring.
Team Development & Knowledge Sharing
- Mentor and guide a team of junior and senior data scientists, fostering a culture of collaboration, innovation, and continuous learning.
- Ensure delivery of comprehensive technical reports, documentation, and user satisfaction feedback to support operational transparency and continuous improvement.
Qualifications
Educational Background:
- MSc or Ph.D. in Chemical Engineering, Data Science, or related fields, with a strong focus on process systems engineering and machine learning.
Experience:
- Minimum of 5 years of professional experience in data science, with expertise in process monitoring and control.
- Proven success in managing and delivering large-scale global projects, including cross-functional collaboration.
- Experience working with data sources such as OSI-PI, SAP, MES, or similar systems is a plus.
Technical Skills:
- Extensive experience with machine learning algorithms for process monitoring, anomaly detection, and predictive analytics.
- Advanced expertise in Multivariate Analysis (MVA) and tools like SIMCA, as well as programming languages such as Python and/or MATLAB.
- Ability to integrate data from various sources (e.g., SQL, CSV, Deltatables) into robust analytical workflows.
Soft Skills:
- Exceptional communication and leadership skills to manage teams and collaborate with global clients.
- Strong organizational and problem-solving abilities, with a focus on delivering impactful results.
What We Offer
- A technical lead role in a fast-growing company solving critical challenges for top-tier pharmaceutical clients.
- Opportunities to shape the future of advanced process modeling and machine learning applications.
- Competitive compensation, professional development opportunities, and a flexible, remote-first work culture.
How to Apply
Interested? Email our Co-Founder & CEO, Antonio Benedetti, at antonio@polymodelshub.com.
- Include the role title in your subject line.
- Send your CV and any supporting materials showcasing your expertise in data science or process modeling.
