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Remote Scientific Data Architect for AI-Driven Biopharma

TetraScience

Macclesfield

Hybrid

GBP 60,000 - 90,000

Full time

9 days ago

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Job summary

A leading scientific data company in the UK is seeking a highly motivated technical expert to design and implement extensible data models for scientific data management. The ideal candidate will hold a PhD with relevant industry experience and possess exceptional collaboration and communication skills. This role is pivotal in transforming complex scientific data into actionable insights and requires a strong background in drug discovery and AI/ML applications. Flexible work arrangements and a competitive salary package are offered.

Benefits

Competitive Salary and equity
Generous paid time off
Supportive, team-oriented culture

Qualifications

  • Experience in drug discovery, preclinical development, or product quality testing.
  • Expertise in defining and designing AI/ML-driven workflows.
  • Proven ability to engage with diverse scientific audiences.

Responsibilities

  • Design and implement extensible data models for scientific data management.
  • Translate scientific workflows into robust solutions.
  • Collaborate with cross-functional teams to ensure project success.

Skills

Product-minded
Outcome-obsessed
Collaboration with scientists
Excellent communication
Data analysis

Education

PhD in life sciences with 7+ years of experience
Masters with 10+ years of experience

Tools

Python
AWS
Lab software (e.g., ELN/LIMS)
Job description
A leading scientific data company in the UK is seeking a highly motivated technical expert to design and implement extensible data models for scientific data management. The ideal candidate will hold a PhD with relevant industry experience and possess exceptional collaboration and communication skills. This role is pivotal in transforming complex scientific data into actionable insights and requires a strong background in drug discovery and AI/ML applications. Flexible work arrangements and a competitive salary package are offered.
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