Research Scientist for Production Strain Technology, R&D, Novonesis

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Vi har brug for dit talent, din viden og dit engagement, så vi kan forbedre verden med biologi.

Vores formål viser vejen

I Novonesis ved vi, at løsninger, der er forankret i biologi, kan hjælpe med at løse menneskehedens største udfordringer. Dette været vores ledesnor, fra vi begyndte vores rejse for mere end et århundrede siden. Det er sådan, vi er kommet så langt, og det er sådan, vi vil påvirke fremtiden. Nu mere end nogensinde har verden brug for forandring og med biosolutions er mulighederne uendelige.

Vi er her for at forbedre verden med biologi.

Join us as our new Automation and Analytics (Senior) Research Scientist

We are looking for a new dedicated colleague to join our team in Strain Automation Analytic. As our new (senior) research scientist you will be part of an agile team, collaborating across disciplines within molecular biology, enzyme assays, automation, and small-scale fermentation. You and your team will deliver new enzyme-producing strains using a combination of manual and automated workflows.

Welcome to the department of “Strain Automation and Analytics”- within Production Strain Technology - R&D - Novonesis, Denmark

In Production Strain Technology, we have 4 departments that collaborate to develop world class expression systems and production strains that enable robust and efficient enzyme/protein production processes. As our new research scientist, you will join the department "Strain Automation & Analysis", which focus on automated solutions to construct and validate strains. So, expect to be using and developing state of the art methods for liquid handlers and data analysis flows.

Production Strain Technology is part of the functional area Enzyme, Protein & Strain Engineering Research in R&D.

In this role you’ll make an impact by being part of a team involved in:

• Developing & executing automated strain construction, cultivation and assay protocols for high-throughput construction and screening of fungal recombinant strains
  
  
• Supporting actively the development of automated methods and their implementation to screen for high performing filamentous fungal strains
  
  
• Keeping our fleet of liquid handlers and other laboratory robots maintained and troubleshoot when problems appear
  
  
• Using laboratory data information systems (e.g. Benchling) to capture and track lab processes and experimental data
  
  
• Using and writing methods for automated capture, processing, and analysis of laboratory datasets (Python, SAS JMP or similar)
  
  
• Working within an agile team and agile mindset to support multiple research projects
  
  
• Connect with and co-develop methods with other Novonesis lab automation experts around the globe and share best practices
  
  
• Ensure timely delivery of results to internal or external customers
  
  

To succeed you must:

• Have a degree in biological science, engineering, chemistry, or laboratory automation (M.Sc., Ph.D or equivalent experience). Position will be hired at a level appropriate for experience
  
  
• Have hands-on experience in translating strain engineering, synthetic biology or chemical methods into automated processes using liquid handlers and other laboratory automation (for example, strain construction, sample preparation, or assay protocols). You must be comfortable developing new methods, not just using existing ones
  
  
• A detail-oriented and self-driven attitude to conduct hands-on experiments in the laboratory
  
  

Candidates with proven examples of one or more of the following will get preferred consideration:

• Experience with developing automation methods for Hamilton, Beckman Coulter or Echo Acoustic Liquid handlers
  
  
• Experience with Hamilton Venus software and HSL
  
  
• Experience developing automated methods for enzymatic assay
  
  
• Experience developing automated methods for MTP (small scale) fermentation and screening.
  
  
• Demonstrated proficiency in developing scripts (Python, R, JMP or other) and processes for data capture, processing, and analysis of large datasets with statistical mindset
  
  
• Prior experience using laboratory data software including Benchling is desirable
  
  

Application deadline: 18 August 2024.

Location: This is an onsite job that is mainly located at our site in Bagsværd, Denmark.

Contact details: For more information, please contact Dominique Aubert Skovlund – [email protected].

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