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Curated Remote Opportunity · arbeitnow.ch$0 Platform Fee🇬🇧English

Scientific Data Architect - Basel, Switzerland

Tetrascience

Basel, Switzerland
140,000 - 185,000 USD
full time
Posted 9/27/2026
computer softwarecustomer engagement

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Requirements & Qualifications

  • You are a product-minded, outcome-obsessed driver of technical scientific solutions.
  • You a high velocity self-starter.
  • You refuse to let uncertainty obstruct your path to designing and building solutions.
  • You roll up your sleeves, try things out, and get things done .
  • You do not hesitate to prototype, demo, and build in order to accelerate delivery of products for your end users.
  • You thrive in environments where you can collaborate with scientists, product managers, and engineers to transform complex scientific data into actionable outcomes.
  • Your ability to engage with scientists and business leaders alike makes you a key player in maximizing the value of scientific data.
  • With rich experience applying cutting edge data methodologies to the biopharma R&D domain, you bridge understanding between present-day pain points and generalizable solutions.
  • You are an insatiable learner , with a track record of deeply learning new tools, methods, and domains.
  • You fundamentally embody the principles of extreme ownership and have a demonstrated history of building extensible data models and applications for Biopharma end users to maximize value from their data via analysis and integration with AI/ML.
  • This role will require extreme self-discipline and determination as we forge a category that will fundamentally and forever change the life science industry.
  • What You Have Done PhD with +4 years or Masters with +8 years of industry experience in life sciences with extensive domain knowledge in drug discovery (target ID through lead optimization), preclinical development, CMC (all drug modalities), or product quality testing.
  • Proven track record of defining, designing, prototyping, and implementing productized AI/ML-driven use cases in cloud environments Collaborated with cross-functional teams, including product managers, software engineers, and scientific stakeholders.
  • Performed extensive exploratory data analysis and workflow optimization to enable scientific outcomes not previously possible.
  • Engaged diverse audiences, from scientists to executive stakeholders using your excellent communication and storytelling abilities.
  • Advised scientists in a consulting capacity to further research, development, and quality testing outcomes

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About the Employer

Tetrascience

arbeitnow.ch
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