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Solution Consultant - R&D(m/w/x)
Vollzeitmit HomeofficeBerufserfahren
Zürich
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CRCradle
Scientific Consultant, Computational Protein Design(m/w/x)
Zürich
Vollzeitmit HomeofficeSenior
AI/ML
Nejo KI-Zusammenfassung
Translating scientific goals into Cradle platform objectives for protein optimization. PhD and 5+ years protein engineering experience in industrial biotech or biopharma required. Generous equity stake, working with AI-guided protein discovery platform.
Anforderungen
- PhD in bioengineering, bioinformatics, molecular biology, structural biology, or related field
- 5+ years of experience in a scientific role related to protein engineering in industrial biotech or biopharma
- Proficiency in data analysis using Python and relevant data science libraries
- Deep knowledge of protein engineering R&D process, methods, and tooling
- Excellent analytical and communication skills
- Proven ability to build strong relationships with stakeholders
- Demonstrated interest in AI-guided protein design approaches
- Experience in customer-facing roles in the biotech industry
- Experience as technical lead on projects
- Experience applying machine learning to protein engineering projects
- Hands-on experience using APIs
- Proficiency in SQL
Aufgaben
- Advise on protein optimisation projects suited to the Cradle platform
- Translate scientific goals into objectives for the Cradle platform
- Understand customer assays and workflows, researching relevant concepts as needed
- Ensure customer data quality and formatting for machine learning
- Train scientists on using Cradle’s platform
- Collaborate with engineering to optimize protein design outputs
- Present reports to help customers interpret platform outputs and forecasts
- Provide recommendations for go/no-go decisions and project strategies
- Build and maintain relationships with users and stakeholders in customer organizations
- Identify additional projects and business units for Cradle’s platform
- Collaborate with the sales team to expand relationships and projects
- Measure and monitor customer satisfaction with products and services
- Gather customer feedback and inform them of improvements based on their input
- Collaborate with product teams to guide development addressing customer needs
Berufserfahrung
- 5 Jahre
Ausbildung
- Doktor / Ph.D.
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- pandas
- scikit
- scipy
- matplotlib
- SQL
Benefits
Attraktive Vergütung
- Competitive salary
- Generous equity stake
Karriere- und Weiterentwicklung
- Career progression opportunities
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Cradle erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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CRCradle
Scientific Consultant, Computational Protein Design(m/w/x)
Zürich
Vollzeitmit HomeofficeSenior
AI/ML
Nejo KI-Zusammenfassung
Translating scientific goals into Cradle platform objectives for protein optimization. PhD and 5+ years protein engineering experience in industrial biotech or biopharma required. Generous equity stake, working with AI-guided protein discovery platform.
Anforderungen
- PhD in bioengineering, bioinformatics, molecular biology, structural biology, or related field
- 5+ years of experience in a scientific role related to protein engineering in industrial biotech or biopharma
- Proficiency in data analysis using Python and relevant data science libraries
- Deep knowledge of protein engineering R&D process, methods, and tooling
- Excellent analytical and communication skills
- Proven ability to build strong relationships with stakeholders
- Demonstrated interest in AI-guided protein design approaches
- Experience in customer-facing roles in the biotech industry
- Experience as technical lead on projects
- Experience applying machine learning to protein engineering projects
- Hands-on experience using APIs
- Proficiency in SQL
Aufgaben
- Advise on protein optimisation projects suited to the Cradle platform
- Translate scientific goals into objectives for the Cradle platform
- Understand customer assays and workflows, researching relevant concepts as needed
- Ensure customer data quality and formatting for machine learning
- Train scientists on using Cradle’s platform
- Collaborate with engineering to optimize protein design outputs
- Present reports to help customers interpret platform outputs and forecasts
- Provide recommendations for go/no-go decisions and project strategies
- Build and maintain relationships with users and stakeholders in customer organizations
- Identify additional projects and business units for Cradle’s platform
- Collaborate with the sales team to expand relationships and projects
- Measure and monitor customer satisfaction with products and services
- Gather customer feedback and inform them of improvements based on their input
- Collaborate with product teams to guide development addressing customer needs
Berufserfahrung
- 5 Jahre
Ausbildung
- Doktor / Ph.D.
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- pandas
- scikit
- scipy
- matplotlib
- SQL
Benefits
Attraktive Vergütung
- Competitive salary
- Generous equity stake
Karriere- und Weiterentwicklung
- Career progression opportunities
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Cradle erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Über das Unternehmen
Cradle
Branche
Other
Beschreibung
The company offers a software platform for AI-guided discovery and optimization of proteins, enabling faster design at scale.
Noch nicht perfekt?
- Benchling
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Advisory Solution Consultant(m/w/x)
Vollzeitmit HomeofficeSeniorGlattbrugg