National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Orchard Therapeutics: Data Scientist, MSAT

Lisebleijs
London
2 weeks ago
Create job alert

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.
#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist, MSAT

Data Scientist, MSAT

Automation Test Lead

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.