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For Companies At a Glance
- Tasks: Lead data-driven initiatives for cell and gene therapy manufacturing processes.
- Company: Join Orchard Therapeutics, a leader in innovative gene therapies.
- Benefits: Enjoy hybrid work options and a collaborative team environment.
- Why this job: Be at the forefront of groundbreaking therapies and enhance your analytical skills.
- Qualifications: MSc or PhD in data sciences or related fields; experience with data analysis tools required.
- Other info: Work closely with diverse teams and contribute to impactful healthcare solutions.
The predicted salary is between 36000 - 60000 £ per year.
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.
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.
Data Scientist, MSAT employer: Job Traffic
Contact Detail:
Job Traffic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist, MSAT
✨Tip Number 1
Familiarise yourself with the specific data analysis tools mentioned in the job description, such as JMP, R, and Python. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your technical capabilities during interviews.
✨Tip Number 2
Network with professionals in the biopharma and CGT sectors. Attend industry conferences or webinars to connect with potential colleagues and learn about the latest trends and challenges in data analytics within manufacturing processes.
✨Tip Number 3
Prepare to discuss your experience with regulatory compliance and data integrity principles. Be ready to provide examples of how you've ensured compliance in past projects, as this is crucial for the role at Orchard Therapeutics.
✨Tip Number 4
Showcase your ability to communicate complex data insights clearly. Practice explaining your previous projects to a non-technical audience, as effective communication is key to collaborating with diverse teams in this role.
We think you need these skills to ace Data Scientist, MSAT
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, statistical modelling, and any specific software like JMP or programming languages such as R or Python. Emphasise your experience in regulated environments and any work related to cell and gene therapy.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data-driven initiatives in the biopharma sector. Mention specific projects or experiences that demonstrate your ability to derive insights from large datasets and your familiarity with GMP data integrity principles.
Showcase Your Skills: Highlight your analytical and problem-solving skills by providing examples of how you've successfully translated complex datasets into actionable insights. Discuss your experience working in cross-functional teams and your ability to communicate findings to both technical and non-technical audiences.
Prepare for Technical Questions: Be ready to discuss your experience with statistical modelling and data visualisation tools during the interview process. Prepare to explain your approach to data analysis and how you ensure compliance with regulatory requirements in your work.
How to prepare for a job interview at Job Traffic
✨Showcase Your Technical Skills
Be prepared to discuss your experience with statistical modelling, data analysis methods, and programming languages like R or Python. Highlight specific projects where you successfully manipulated large datasets and derived actionable insights.
✨Understand the Industry Context
Familiarise yourself with the latest trends in cell and gene therapy, as well as the regulatory environment. Demonstrating knowledge of GMP data integrity and process validation principles will show that you are well-versed in the requirements of the role.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think of examples where you led cross-functional teams or improved processes through data-driven insights, and be ready to explain your thought process.
✨Communicate Clearly and Effectively
Practice explaining complex data concepts in simple terms, as you may need to present findings to both technical and non-technical audiences. Good communication skills are essential, so focus on clarity and confidence during your interview.
