A leading translational research institute that advances academic and industry science through collaboration to improve patient health outcomes.
These four areas will provide us with the core talent and capability to pursue translational science in this new patient-centric framework:
- Disease, Systems, Pathways – We’re working to understand diabetes better and identify new ways to combat the disease. We’re applying this learning to other diseases with common systems and pathways.
- Molecular Innovation – We’re developing new molecular design and drug discovery capabilities to investigate disease processes and pursue new therapeutic approaches.
- Integrated Data Sciences – We’re pursuing advanced data sciences to create novel end-user-inspired solutions that address complex analysis, simulation, and prediction across the translational sciences.
- Enabling Technologies – We’re building a rich platform of enabling technologies that give our scientists, partners, and collaborators access to the best tools to solve complex scientific problems.
Qualifications:
- PhD in Molecular Biology, Biochemistry, Bioengineering, or a related field, with at least 3 years of work experience post-degree in industrial and/or academic research, is required.
- A strong track record of publications, patents, abstract submissions, or other proof of continual professional growth is required.
- Demonstrated expertise and passion for laboratory work in synthetic and molecular biology and in cell culture/aseptic technique for insect cell/baculovirus, CHO, and/or HEK293 protein production are mandatory.
- Molecular microbiology experience such as the creation of engineered E. coli or yeast strains (Saccharomyces and/or Pichia) for protein production is highly preferred.
- Custom mammalian cell line engineering experience is highly preferred, including via engineered recombinant lentivirus or CRISPR/Cas9; in line with this, candidates with high-level molecular virology experience will receive special consideration.
- Experience with yeast and/or phage display systems for affinity binder discovery is preferred, but a willingness to learn is essential.
- Antibody engineering expertise is preferred.
- Proficiency in Microsoft Office (Word, PowerPoint, Excel) is required.
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