Remote Scientific Data Architect | AI-Driven Biopharma

TetraScience

København

Hybrid

DKK 1,200,000 - 1,800,000

Full time

14 days+

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Benefits offered by this job

Equity
PTO
Remote-friendly

Job summary

TetraScience is seeking a product-minded, outcome-obsessed professional to drive scientific AI solutions. You will collaborate with scientists, product managers and engineers to translate complex data into actionable outcomes, prototype new AI/ML-driven use cases, and industrialize data models on the Tetra Data Platform.

You will travel up to 25% to engage customers onsite, prototype solutions, and accelerate delivery of products for end users, with a focus on extensible data models and lab data

Qualifications

  • PhD with 4+ years or Masters with 8+ years in life sciences.
  • Proven track record of defining and prototyping AI/ML-driven use cases in cloud environments.
  • Experience collaborating with product managers, software engineers and scientists.
  • Strong communication and ability to translate complex data into outcomes.

Responsibilities

  • Engage directly with customers onsite up to 25% travel, building relationships and capturing requirements.
  • Design extensible data models and architectures for scientific data use cases.
  • Translate workflows into solutions on the Tetra Data Platform.
  • Prototype, demo, and deliver on data models, parsers, and lab-IT integrations.
  • Collaborate with SBAs and engineers to deploy ML/AI and hybrid models.
  • Iterate with end users and stakeholders via demos and regular meetings.

Skills

Product mindset
Self-motivation
Hands-on
Collaboration
Continuous learning
Ownership

Education

PhD in life sciences
Masters in life sciences

Tools

Python
Streamlit
Plotly
ELN/LIMS API integration

Job description

TetraScience is seeking a product-minded, outcome-obsessed professional to drive scientific AI solutions. You will collaborate with scientists, product managers and engineers to translate complex data into actionable outcomes, prototype new AI/ML-driven use cases, and industrialize data models on the Tetra Data Platform.

You will travel up to 25% to engage customers onsite, prototype solutions, and accelerate delivery of products for end users, with a focus on extensible data models and lab data

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