Scientist, Protein Design / Computational Biology
SWE - Stockholm - Cytiva
Danaher
As a leading global life sciences and diagnostics innovator, we are committed to accelerating the power of science and technology to improve human health.Be part of something altogether life-changing
Working at Cytiva in the Life Sciences industry means being at the forefront of providing new solutions to transform human health. Our incredible customers undertake life-saving activities ranging from fundamental biological research to developing innovative vaccines, new medicines, and cell and gene therapies.
At Cytiva you will be able to continuously improve yourself and us –working on challenges that truly matter with people that care for each other, our customers, and their patients. With associates across 40 countries, Cytiva is a place where every day is a learning opportunity –so you can grow your career and expand your skills in the long term.
Cytiva is proud to work alongside a community of nine fellow Danaher Life Sciences companies. Together, we’re pioneering the future of science and medicine, developing products that enable researchers in the fight to save lives.
We are looking for a Scientist in the area of protein design and computational biology to join the Affinity Ligand Design team in our new lab facilities in Solna, Stockholm. The Affinity Ligand Design team is responsible for discovering and designing new affinity purification ligands and solutions for the next generation of biopharmaceuticals and consists of about 15 experts in the field of protein engineering, protein production, affinity ligand design and characterization.
The focus of the positions is to set up and develop AI/ML models for protein design together with our existing team of data scientist and computational biologists. You will also be an active part of projects that design, identify and engineer novel affinity ligands using both wet lab and in silico approaches.
What you’ll do
- Implement, develop and use new AI/ML models for protein design.
- Use wet lab data to train models as well as perform exploratory data analysis.
- Participate in ligand development projects and contribute within the area of expertise.
- Present scientific and technical results internally and externally, oral and written communication in both Swedish and English.
Who you are
- PhD in structural biology, bioinformatics, computational biology or related Life Science field and preferably industrial experience or a post doc within the field of machine learning or computational biology with a focus on protein / antibody engineering.
- You are up to date with state-of-the-art generative AI tool for protein design, e.g. RFdiffusion & ProteinMPNN, AlphaFold and protein language models such as ESM2.
- Experience with machine learning frameworks like TensorFlow or PyTorch.
- Ability to adapt to new technologies and continuously update skills.
- Experience of programming in Python.
- English and Swedish as working languages.
Does this sound interesting? Submit your application today.
Applications will be read and reviewed throughout the application period; this means the position might be filled prior to the last date of advertising November 15th, 2024. For questions regarding the role please contact hiring manager Tobias Cornvik at tobias.cornvik@cytiva.com. We look forward to hearing from you!
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Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
For more information, visit www.danaher.com.
At Danaher, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Bioinformatics Biology Data analysis EDA Engineering Generative AI Industrial Machine Learning ML models PhD Protein engineering Python PyTorch Research TensorFlow
Perks/benefits: Career development
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