AI Scientist Life Sciences Applications

at  Thermo Fisher Scientific

JOB DESCRIPTION

We have an exciting new job opening for an AI Scientist Life Sciences. We are looking for a creative candidate who thrives on curiosity and learning, who has a passion to innovate, and enjoys a challenge. If you are that kind of scientist: Consider joining our team of thinkers and doers to drive innovation at the intersection of discovery and action!
The open position is in our Eindhoven based AI Applications team, which is part of the Data and AI group (D&AI). This international team of experts is researching AI and Data science for the development of impactful new product features for Electron Microscopy workflows. This team delivers customer solutions in our main product domains: Semiconductor development; Life Sciences/Biology research; and Materials science.
You would join our team as AI scientist with a focus area on Life sciences and Biology applications. The rapid evolution of the AI ecosystem, brings each day impactful opportunities to improve customer workflows. Think for example about the rapid evolving domain of disease research and medicine development where proteins are characterized by CryoEM. This results in advanced workflows that characterize these proteins up to the atomic detail to drive understanding of disease processes and developing next generation cures. The combination of our TEM system with sophisticated AI and Machine Learning techniques improves ease-of-use to setup and automate experiments.

QUALIFICATIONS:

We require a hands-on researcher with excellent analytical skills and an intrinsic drive to overcome obstacles. You will need to be able to work closely with a diverse team to deliver high-quality, maintainable solutions in a multifaceted environment.

• Preferably a Ph.D. in Structural Biology, Biomedical sciences, Chemistry, or related areas or Candidates with master’s degree with relevant years of relevant industry experience.
• Proven experience in deep learning and its different toolkits particularly Pytorch or Tensorflow.
• Experience with applied machine learning research, with a focus on generative models such as GANs, VAEs, auto-regressive models, and diffusion models.
• Demonstrable experience with participating in top-tier research teams in high-stakes academic or industrial research environments.
• Able to work with ML-Ops pipelines and GIT to structure and share your experiments in a research and development setup.

ADDITIONAL OR PREFERRED QUALIFICATIONS:

Being a highly collaborative and adaptable researcher with great interpersonal skills, integrating well into multidisciplinary teams.

• Able to build connections with both internal colleagues and external stakeholders.
• The ability to communicate effectively and build meaningful relationships that improve project outcomes and promotes collaboration.

• Lead innovations that enhance our Life Sciences products by using Large Language Models, Artificial Intelligence, Machine Learning, Computer Vision, and Deep Learning.
• Connect the biology and physics-based understanding of Life Sciences with experimental techniques like CryoEM and Tomography.
• Collaborate closely with the software teams across Thermo Fisher Scientific to define and integrate next generation AI methods into our customers products.
• Collaborate with Scientists and Software Engineers to build products, write publications, and patents.
• Drive teamwork with external university group or key opinion leaders to progress co-development of new imaging and characterization workflows.