Data Scientist, MSAT

Orchard Therapeutics; London; Hybrid; GBP 45,000 - 85,000; Full time

Job summary

An exciting opportunity awaits a Data Scientist to join a forward-thinking company, supporting the MSAT organization in the cell and gene therapy sector. This role involves leading data-driven initiatives, developing a centralized manufacturing data repository, and ensuring seamless data integration. The ideal candidate will leverage their expertise in statistical modeling, programming, and data analysis to derive actionable insights that enhance process understanding and drive continuous improvement. Collaborating with cross-functional teams, you will play a pivotal role in managing data for gene therapy products from early development to commercial production. If you are passionate about data and innovation, this position is perfect for you.

Qualifications

• Experience in statistical modeling and multivariate data analysis.
• Proficiency in programming languages for data manipulation.
• Solid understanding of biological and bioprocessing concepts.

Responsibilities

• Lead data-driven initiatives for process and analytical control.
• Develop a centralized manufacturing data repository.
• Drive insights to enhance process understanding and control.

Skills

Statistical modeling

Multivariate data analysis

Process analytics

Programming (R, Python, SQL, SAS)

Data visualization

Analytical skills

Problem-solving

Communication skills

Education

MSc in Data Sciences

PhD in Data Sciences

MSc in Bioprocess Engineering

PhD in Bioprocess Engineering

Tools

JMP

Data visualization tools

Job description

Location: London (Hybrid)

Reporting to: Senior Director of MSAT

Job Summary

The Data Scientist will support the MSAT organisation at Orchard Therapeutics and will lead data-driven initiatives to support process and analytical control strategy development, trend monitoring, manufacturing investigations and lifecycle management of cell and gene therapy products. This role will be the primary point of contact for the development and implementation of a centralised manufacturing data repository, ensuring seamless data integration from CDMOs and internal data repositories. The job holder will drive insights that enhance process understanding, control and continuous improvement. The role will include the creation of specific processes to ensure seamless and compliant data flow and integration, data interpretation and analysis to support multiple MSAT activities linked to successful manufacture of CGT products. This role is also critical to enabling understanding of complex manufacturing processes and product characterisation.

This is an exciting opportunity to work with vector, cell process, and analytical scientists involved with Chemistry, Manufacturing, and Control (CMC) data management of gene therapy products, from early phase development to commercial production. The candidate should have experience using a variety of data mining/data analysis methods, as well as a strong statistical knowledge, DoE study experience and hands-on experience with JMP or similar software and building appropriate systems to interrogate database. Experience in working in a regulated environment is essential and the candidate must have a passion for discovering solutions hidden in large data and be comfortable working with a wide range of stakeholders and functional teams to improve process outcomes.

Requirements

Required Experience & Knowledge:
• Experienced in statistical modeling, multivariate data analysis and process analytics and experienced with applications (e.g. JMP...)
• Proficiency using programming languages (e.g. R, Python, SQL, SAS, etc.) to manipulate data and draw insights from large data sets
• Proficient in DoE applied to biological processes
• A solid understanding of biological and bioprocessing concepts, data, and information types, experience working with CGT processes and analytical method is a plus
• Experience building databases compliant with requirements for regulatory filings (ICH Q8-Q10, Regulatory CPV guidance)
• Experience using/developing data visualization tools
• Knowledge of GMP data integrity, process validation (PPQ) and CPV principles
• Demonstrated experience applying knowledge in relevant industry fields such as Biopharma, CGT or manufacturing data analytics

Skills and Abilities
• Strong analytical and problem-solving skills
• Ability to translate complex dataset into actionable insights
• Ability to work in and lead diverse cross-functional teams
• Attention to detail and compliance mindset
• A drive to learn and master new technologies and techniques
• Excellent communication skills with an ability to visualize / present data to communicate ideas, concepts and results to technical and non-technical audiences (both internally and externally)
• Interest in continuous improvement of processes by integrating innovative solutions

Education

MSc or PhD in data sciences, statistics, bioprocess engineering, Bioinformatics, Engineering or related discipline.