At a Glance
- Tasks: Build and maintain data models, pipelines, and dashboards for R&D activities.
- Company: Growing biopharmaceutical business focused on digitalisation in R&D.
- Benefits: Competitive salary, hands-on experience, and opportunities for professional growth.
- Other info: Confidential search with excellent career development opportunities.
- Why this job: Join a dynamic team and make a real impact in life sciences R&D.
- Qualifications: BS/MS in Data Science or related field; strong Python and SQL skills required.
The predicted salary is between 45000 - 55000 £ per year.
Location: London (On-site) | Type: Permanent, Full-Time | Sector: R&D Data Science, Biopharma
About the Opportunity
Our client is a growing biopharmaceutical business investing heavily in digitalisation across its R&D function. They're looking for a Scientific Data Engineer to join their Data Science team, splitting time between hands-on data analysis and the tools that make good data analysis possible in the first place. This is a confidential search — the identity of our client will be shared with shortlisted candidates ahead of interview.
The Role
You'll build and maintain the data models, pipelines and dashboards that underpin R&D activity — from lab notebook templates through to results processing and statistical analysis — while also acting as a go-to technical resource for scientists across the organisation.
Day to day, you'll:
- Write well-documented, well-tested electronic lab notebook (ELN) templates that follow best practice
- Build tools that safeguard data integrity throughout the data lifecycle
- Develop SQL queries and dashboards that make data more accessible across scientific and operational teams
- Carry out data mining, exploration and feature engineering to support proof-of-concept AI/ML, statistical, mechanistic and hybrid modelling work, working closely with data scientists and bench scientists
- Provide day-to-day technical support and training for tools and software used across R&D
- Produce clear, thorough documentation of your development work
- Keep your knowledge of modern data analysis practice current, particularly as it applies to life sciences R&D
What We're Looking For
Essential:
- A BS/MS in Data Science, Data Analysis, Bioprocess Engineering or a related discipline
- An understanding of bioprocessing, or hands-on experience working with bioprocess development data
- Strong Python and SQL skills
Desirable:
- Prior industry experience maintaining ELNs within a pharmaceutical setting (internships/placements count)
- Experience developing software, databases, or bioprocess models
- Familiarity with dashboarding tools such as Tableau, Spotfire or Power BI
How to Apply
For a confidential conversation about this role, get in touch with Joynes & Hunt.
Scientific Data Engineer in London employer: Joynes & Hunt
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We think you need these skills to ace Scientific Data Engineer in London
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