Lead Data Scientist

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.
• Develop and manage detailed project plans, timelines, and deliverables while proactively mitigating risks and ensuring client alignment.
• Act as the primary technical point of contact for clients, building 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, focusing on process efficiency and batch loss prevention.
• Integrate machine learning techniques into advanced modeling workflows to enhance detection and alerting capabilities.

Advanced Process Modeling

• Develop and implement mechanistic, hybrid, and data-driven models to support process optimization and scale-up.
• Ensure model compliance with ICH guidelines and pharmaceutical regulatory standards, using platforms like SIMCA for deployment and monitoring.

Team Development & Knowledge Sharing

• Mentor junior and senior data scientists, promoting collaboration, innovation, and continuous learning.
• Ensure delivery of clear technical documentation, reports, and user feedback to support project transparency and improvement.

Qualifications

Educational Background

• MSc or Ph.D. in Chemical Engineering, Data Science, or a related field, with a strong emphasis on process systems engineering and machine learning.

Experience

• Minimum of 5 years in data science roles focused on process monitoring and control.
• Proven track record in leading large-scale, global projects with cross-functional teams.
• Experience with data platforms such as OSI-PI, SAP, MES, or equivalent systems is a plus.

Technical Skills

• Strong experience with machine learning for process monitoring, anomaly detection, and predictive modeling.
• Expertise in Multivariate Analysis (MVA), including SIMCA or similar tools.
• Proficiency in programming languages such as Python and MATLAB.
• Familiarity with integrating data from diverse sources (e.g., SQL, CSV, Deltatables) into scalable analytics workflows.

Soft Skills

• Excellent communication and leadership abilities for managing teams and engaging with clients.
• Strong problem-solving skills, with a focus on delivering actionable, high-impact results.