Senior Scientific Data Architect - Remote/UK (Equity)

Dubizzle Limited; City of London; Hybrid; GBP 70,000 - GBP 90,000; Full time

Job summary

A leading scientific data solutions firm in London seeks a talented professional to design and implement innovative data solutions for life sciences. The role combines extensive domain knowledge in drug discovery with technical skills in AI/ML. You will collaborate with cross-functional teams to deliver scalable data models and enhance scientific outcomes. The ideal candidate possesses a PhD or Master's degree and a passion for transforming complex scientific data into actionable insights. This position offers competitive compensation and a flexible working environment.

Benefits

Competitive salary and equity

Generous paid time off (PTO)

Flexible working arrangements

Qualifications

• Experience in drug discovery from target ID through lead optimization.
• Collaborated with cross-functional teams to design and implement solutions.
• Performed data analysis and workflow optimization for improved outcomes.

Responsibilities

• Design and implement extensible data models for scientific data.
• Own and scope solutions including data model design and Python parsers.
• Collaborate with customers to drive solution development.

Skills

Extensive domain knowledge in drug discovery

Data visualization skills in Python

Excellent communication and storytelling abilities

Experience with AI/ML-driven use cases

Education

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

Tools

Python

AWS

ELN/LIMS integration

Job description

A leading scientific data solutions firm in London seeks a talented professional to design and implement innovative data solutions for life sciences. The role combines extensive domain knowledge in drug discovery with technical skills in AI/ML. You will collaborate with cross-functional teams to deliver scalable data models and enhance scientific outcomes. The ideal candidate possesses a PhD or Master's degree and a passion for transforming complex scientific data into actionable insights. This position offers competitive compensation and a flexible working environment.