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- Tasks: Lead lab digitalisation and data management efforts to drive scientific innovation.
- Company: Join a pioneering biotech firm focused on cutting-edge therapies.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic lab environment with a focus on collaboration and innovation.
- Why this job: Make a real impact in the biotech industry with your data science skills.
- Qualifications: Bachelor's degree in relevant field and 3 years of lab experience required.
The predicted salary is between 55000 - 70000 £ per year.
Location: London, UK (Laboratory based role)
Reporting to: Principal Scientist, Global Technical Development
Job Summary
As part of laboratory expansion initiatives, we are looking for an ELN Administrator & Data Scientist to lead our lab digitalisation and data management efforts. The Senior Scientist will be responsible for laboratory data systems across multiple laboratories. In this role, the candidate is responsible for ensuring that the ELN platform is optimized for daily laboratory operations as well as to build data infrastructure to support data driven scientific innovation and/or decision making.
The ideal candidate will possess a diverse skill set that encompasses technical expertise, domain-specific knowledge, and strong soft skills to partner effectively with R&D Scientists, Quality and IT stakeholders in driving impactful data solutions.
Key Elements and Responsibilities
- ELN Administrator responsibilities
- Collaborate with key stakeholders in Research and Development (R&D) Laboratories, Quality and IT to understand business requirements and objectives for the ELN platform.
- Analyse current business processes and workflows to identify opportunities for improvement and automation through the use of technology.
- Collaborate with R&D scientists and stakeholders to understand scientific user and functional requirements to translate to the configuration of ELN.
- Configure ELN standard modules, including Inventory, Registry, and Workflows, to support sample tracking and laboratory processes.
- Design and implement integrations between ELN and other systems using APIs and integration frameworks, and creation of specific processes to ensure seamless and compliant data integrity.
- Develop custom workflows to enhance the functionality of the ELN platform, with appropriate development testing & troubleshooting.
- Develop dashboards and custom label reports for monitoring of R&D data.
- Monitor and troubleshoot any issues that arise, ensuring the smooth operation of the ELN platform.
- Draft technical documentation to support and deliver ELN training for onboarding and periodic training review/updates.
- Provision of primary day-to-day support and training on ELN for all R&D Scientists.
- Implement routine monitoring of practices to ensure data integrity and tracking compliance with internal ELN policies.
- Primary point of contact and liaison with ELN support and customer success services.
- Serve as Orchard liaison for ELN interactions with broader Kyowa Kirin Group.
- Lead development and implementation of a centralised Technical Development data repository, involving assessments of data sources and types generated through program lifecycle, including from CDMOs and seamless data integration into an internal data management system.
- Develop methodology and infrastructure to manage collation, review and extraction of multi-source datasets, streamlining data-driven decision making and reducing manual data handling.
- In collaboration with Quality and MSAT, ensure that Technical Development data repository meets data integrity requirements for use in CMC (Chemistry, Manufacturing, and Controls) dossiers and regulatory filings.
- Facilitate alignment on data capture methods and long term analytical goals between Technical Development, MSAT, Quality and IT.
- Provide specialist support across all teams in the adoption of advanced statistical methods, data mining/modelling, and Design of Experiments (DoE) to embed Quality by Design (QbD) principles across product development lifecycle.
- Support introduction of Laboratory Information Management System (LIMS) as part of laboratory expansion initiatives.
Qualifications / Required Knowledge
- Bachelor's degree in Data Science, Bioinformatics, Statistics, Biological Sciences, Engineering or a related field.
- At least 3 years of experience working in a scientific laboratory environment (academia, biotech or pharma) with hands-on experience in ELN administration and Data Sciences.
- Proven ability to configure schemas, develop custom workflows and optimise platform utilisation. Prior experience in use of Benchling ELN is preferred.
- Knowledge/understanding of the Cell and Gene Therapy Industry is desirable.
- Experienced in statistical modelling, DOE, multivariate data analysis and process analytics including applications e.g. JMP.
- Strong programming skills in languages such as Python, JavaScript, or Java; experience with SQL preferred.
- Experience in laboratory informatics or other data management tools.
- Understanding of regulatory standards including GxP, ALCOA+ principles, and 21 CFR 11 requirements.
Skills and Abilities
- Excellent analytical and problem-solving skills.
- Excellent interpersonal skills in communication and collaboration.
- Ability to work independently and as part of a team.
- Ability to operate in a fast-paced, multi-disciplinary industrial environment; proven track record delivering under tight timelines.
Senior Scientist (Laboratory Data Systems), Global Technical Development employer: Orchard Therapeutics
Contact Detail:
Orchard Therapeutics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Scientist (Laboratory Data Systems), Global Technical Development
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant events, and engage with professionals on platforms like LinkedIn. We can’t stress enough how important it is to make those personal connections that could lead to job opportunities.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their projects and challenges, especially in laboratory data systems. We want you to show them you’re not just another candidate, but someone who’s genuinely interested in contributing to their goals.
✨Tip Number 3
Practice your pitch! You need to be able to clearly articulate your experience and how it aligns with the role of Senior Scientist. We recommend rehearsing with friends or using mock interviews to build confidence and refine your delivery.
✨Tip Number 4
Don’t forget to follow up after interviews! A simple thank-you email can go a long way in keeping you top of mind. We believe this shows your enthusiasm and professionalism, which can set you apart from other candidates.
We think you need these skills to ace Senior Scientist (Laboratory Data Systems), Global Technical Development
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience with ELN administration and data science. We want to see how your skills align with the specific responsibilities mentioned in the job description.
Showcase Your Technical Skills: Don’t hold back on showcasing your programming skills and experience with data management tools. We’re looking for someone who can hit the ground running, so let us know how you’ve used these skills in previous roles.
Highlight Collaboration Experience: Since this role involves working closely with R&D scientists and IT stakeholders, make sure to mention any past experiences where you successfully collaborated across teams. We love seeing examples of effective teamwork!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process.
How to prepare for a job interview at Orchard Therapeutics
✨Know Your ELN Inside Out
Make sure you’re well-versed in the specifics of Electronic Lab Notebooks (ELN), especially if you have experience with Benchling. Be ready to discuss how you've optimised ELN platforms in previous roles and any challenges you've faced.
✨Showcase Your Data Skills
Prepare to demonstrate your programming skills, particularly in Python or JavaScript, and your experience with SQL. Bring examples of how you've used statistical modelling or data analysis to drive decisions in a lab setting.
✨Collaborative Mindset
This role requires working closely with R&D scientists and IT stakeholders. Think of examples where you’ve successfully collaborated across teams to implement data solutions or improve workflows, and be ready to share those stories.
✨Understand Regulatory Standards
Brush up on GxP, ALCOA+, and 21 CFR 11 requirements. Be prepared to discuss how you’ve ensured compliance in past projects, as this knowledge will be crucial for the role.