Senior ELN & Data Scientist — Hybrid, London

Orchard Therapeutics - U.S.

Greater London

Híbrido

GBP 70 000 - 120 000

Tempo integral

14 dias+

Uma candidatura completa num minuto

Currículo e carta de apresentação personalizados, prontos a enviar.

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Resumo da oferta

Orchard Therapeutics is seeking an ELN and data specialist to lead configuration, governance and continuous improvement of the ELN platform across R&D and TD activities. The Senior Scientist will define standards and guide scientists and superusers in applying them.

The role combines hands-on ELN administration with data management, building data repositories and analytics capabilities to support regulatory and scientific decision-making, while aligning with Quality and IT partners.

Qualificações

  • Bachelor's degree in a data science, biological sciences, engineering or related field.
  • Hands-on ELN administration in a scientific lab setting (academia, biotech or pharma).
  • Experience configuring ELN and workflows (Benchling preferred).
  • Understanding of regulatory standards including GxP, ALCOA+ and 21 CFR Part 11.

Responsabilidades

  • Own the continuous improvement of the ELN platform and prioritize enhancements.
  • Capture requirements from R&D, quality and lab informatics stakeholders.
  • Design/build ELN tools, modules, workflows and templates for lab ops.
  • Develop dashboards and reports to monitor R&D data.
  • Coordinate data repositories to support data-driven decision making.

Conhecimentos

ELN administration
Data management
SQL queries
Python
Stakeholder management
Documentation writing
Training delivery

Formação académica

Bachelor's degree in a relevant field

Ferramentas

Benchling

Descrição da oferta de emprego

Orchard Therapeutics is seeking an ELN and data specialist to lead configuration, governance and continuous improvement of the ELN platform across R&D and TD activities. The Senior Scientist will define standards and guide scientists and superusers in applying them.

The role combines hands-on ELN administration with data management, building data repositories and analytics capabilities to support regulatory and scientific decision-making, while aligning with Quality and IT partners.

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