Scientist

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

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I Novonesis ved vi, at løsninger, der er forankret i biologi, kan hjælpe med at løse menneskehedens største udfordringer. Dette har 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.

Welcome to Production Strain Technology (PST), R&D

We develop and use state-of-the-art expression technology to make high-yielding production strains in microbial hosts (Bacteria, fungi primarily). PST consists of 6 departments that are divided into cross-disciplinary agile teams, and we collaborate closely with colleagues globally. PST is part of Enzyme, Protein & Strain Engineering in R&D.

Become our new team member and be part of a cross-disciplinary, dynamic, and dedicated team!

You will be part of a department composed of 15 scientists and lab technicians located in Bagsværd and Lyngby. Our task is to support our colleagues implement automated analysis methods, enzymatic and non-enzymatic assays on our fleet of "liquid handlers" (Hamilton) and other laboratory robots. We also develop methods for HTP screening of strain and enzyme in MTP or droplets format and securing the scalability of the results to larger scale fermentation up to production.

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
• Have experience with Microfluidic ultra-high-throughput screening (uHTS)
• 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
• Strong passion for innovative technologies and a drive to challenge and transform the status quo
• A team-oriented mindset combined with a solution-focused “can-do” attitude
• 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 or uHTS set-up
• 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: 01 March 2025.

Location: This is an onsite job that is primarily located at our site in Bagsværd, Denmark, with occasional projects in Lyngby, Denmark.

Contact details: For more information, please contact Dominique Aubert Skovlund – [xxxxx] vores formål også være dit? Ansøg i dag!

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