Associate Scientist - Data Integrity (6 month FTC)
Engitix TherapeuticsUnited Kingdom2 days ago
ContractScience, Research
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Your mission
Note: This role is offered as a six-month fixed-term contract, with an immediate start date preferred.
Engitix is pioneering the way to significantly improve the lives of fibrosis and solid tumour patients and their families. Through our unique understanding of the extra-cellular matrix (ECM), and our world-class technology and approach, we are unlocking insights and enabling the generation of new, advanced therapeutics. We collect data from a variety of experimental, clinical, and high-throughput technology sources which underpin all of our drug discovery and development. A critical pillar of our infrastructure is hence maintaining the systems and processes which ensure the integrity of this data.
Position Summary:
We are seeking an Associate Data Curator to support Data Engineering in organising and standardising experimental and clinical data across drug discovery and development. This is a hands-on role focused on data curation, wrangling, and cleaning, ensuring that high-quality, reliable datasets are available for analysis and downstream use. This position is particularly suited for individuals who have experience generating and capturing experimental data in the lab, and are looking to apply that knowledge in an informatics-focused role. While some coding experience is desirable, it is not required. The ideal candidate is detail-oriented, technically curious, eager to learn in a fast-paced environment, and keen to improve how scientific data is organized and used through informatics.
Responsibilities:
Essential Qualifications & Experience:
Engitix is a growing biotech company based in White City Place, West London. We are dedicated to developing better therapies for advanced fibrosis and solid tumours by leveraging our pioneering extracellular matrix (ECM) platform. Our platform allows the synthesis of realistic in vitro 3D models that serve as tools to transform our ability to identify new targets and biomarkers, determine mechanisms of action and more accurately predict the efficacy of therapeutic candidates.
Join us today in our mission to create a healthier future for patients with life-threatening diseases such as fibrosis and cancer.
Note: This role is offered as a six-month fixed-term contract, with an immediate start date preferred.
Engitix is pioneering the way to significantly improve the lives of fibrosis and solid tumour patients and their families. Through our unique understanding of the extra-cellular matrix (ECM), and our world-class technology and approach, we are unlocking insights and enabling the generation of new, advanced therapeutics. We collect data from a variety of experimental, clinical, and high-throughput technology sources which underpin all of our drug discovery and development. A critical pillar of our infrastructure is hence maintaining the systems and processes which ensure the integrity of this data.
Position Summary:
We are seeking an Associate Data Curator to support Data Engineering in organising and standardising experimental and clinical data across drug discovery and development. This is a hands-on role focused on data curation, wrangling, and cleaning, ensuring that high-quality, reliable datasets are available for analysis and downstream use. This position is particularly suited for individuals who have experience generating and capturing experimental data in the lab, and are looking to apply that knowledge in an informatics-focused role. While some coding experience is desirable, it is not required. The ideal candidate is detail-oriented, technically curious, eager to learn in a fast-paced environment, and keen to improve how scientific data is organized and used through informatics.
Responsibilities:
- Curate, clean, and standardise internal datasets across electronic lab notebooks (ELN) and related systems.
- Identify gaps and inconsistencies in data schemas and develop solutions to improve data integrity, completeness, and reliability.
- Leverage laboratory/experimental experience to ensure data accurately reflects scientific workflows and outcomes.
- Support schema development and improve metadata practices to strengthen data governance.
- Collaborate with scientific and informatics teams to understand data requirements and align database structures with experimental workflows.
- Identify opportunities to automate repetitive processes using scripting or LLM-assisted methods.
- Develop and maintain clear documentation and guidelines to support long-term data quality and governance, including data provenance, processing, and troubleshooting.
Essential Qualifications & Experience:
- Background in life sciences research and familiarity with scientific research data (biotech or pharmaceutical background is a plus).
- Strong analytical and problem-solving skills, with experience identifying and addressing gaps and inconsistencies.
- Detail-oriented, with strong organizational and communication skills.
- Basic proficiency in data manipulation in Python, R, KNIME, or similar.
- Hands-on experience with an electronic lab notebook platform.
- Exposure to automation, or workflow tools.
- Familiarity with data management, schema design, and data cleaning.
- Awareness of, or interest in, applying LLMs or AI tools for data tasks.
- Be part of a motivated, dynamic team supporting cutting edge drug discovery
- Constant opportunities to learn, grow, and explore the many opportunities for data science to have an impact on drug discovery and development
- State of the art offices at The Westworks, White City London
- Competitive reward package including private medical insurance, bonus, pension, and much more!
Engitix is a growing biotech company based in White City Place, West London. We are dedicated to developing better therapies for advanced fibrosis and solid tumours by leveraging our pioneering extracellular matrix (ECM) platform. Our platform allows the synthesis of realistic in vitro 3D models that serve as tools to transform our ability to identify new targets and biomarkers, determine mechanisms of action and more accurately predict the efficacy of therapeutic candidates.
Join us today in our mission to create a healthier future for patients with life-threatening diseases such as fibrosis and cancer.
Key Skills
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