Data Scientist
Posted 1 week ago by Harnham
£600 Per day
Outside
Hybrid
England, United Kingdom
Summary: The role of Senior Scientific Data Scientist / Python Engineer involves building and optimizing Python-based data pipelines for bioassay and experimental data within a collaborative biotech-focused organization. The position requires translating laboratory workflows into automated analytical processes and ensuring data quality and reliability. Candidates will work closely with scientists to interpret and present results effectively. This is a high-impact contract role situated in a hybrid working environment.
Key Responsibilities:
- Build, maintain, and optimise Python-based data pipelines for bioassay and experimental data.
- Translate laboratory workflows into robust, automated analytical processes.
- Deliver reliable data quality control, normalisation, and modelling outputs.
- Implement and refine dose response and curve-fitting analyses.
- Improve data structure, reproducibility, and scalability across the analytics platform.
- Support the clear interpretation and presentation of results to internal teams and external clients.
Key Skills:
- Strong experience working with drug discovery, biotech, or CRO environments.
- Hands-on capability with bioassay or experimental scientific data.
- Advanced Python skills, including Pandas, NumPy, and SciPy.
- Proven ability to build and maintain data pipelines and automated workflows.
- Experience with statistical analysis, data validation, and curve-fitting models.
- Confidence collaborating closely with scientists and explaining analytical outputs clearly.
Salary (Rate): £600.00/daily
City: undetermined
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: Other
Senior Scientific Data Scientist / Python Engineer Oxfordshire, Hybrid | Outside IR35
The Company
They are a specialist biotech-focused organisation supporting pharmaceutical and biotech partners with high-quality experimental data. Operating in a fast-paced CRO-style environment, they run large-scale assay platforms that generate complex, decision-critical datasets. Their culture is highly collaborative, with scientists and engineers working closely to deliver meaningful insights to clients.
The Role and Deliverables
- Build, maintain, and optimise Python-based data pipelines for bioassay and experimental data.
- Translate laboratory workflows into robust, automated analytical processes.
- Deliver reliable data quality control, normalisation, and modelling outputs.
- Implement and refine dose response and curve-fitting analyses.
- Improve data structure, reproducibility, and scalability across the analytics platform.
- Support the clear interpretation and presentation of results to internal teams and external clients.
Your Skills and Experience
- Strong experience working with drug discovery, biotech, or CRO environments.
- Hands-on capability with bioassay or experimental scientific data.
- Advanced Python skills, including Pandas, NumPy, and SciPy.
- Proven ability to build and maintain data pipelines and automated workflows.
- Experience with statistical analysis, data validation, and curve-fitting models.
- Confidence collaborating closely with scientists and explaining analytical outputs clearly.
How to Apply
If you are a scientific data specialist looking for a high-impact contract role within drug discovery, apply now to learn more.