Parallel Squared Technology Institute (PTI) is a non-profit research institute aiming to catalyze a leap in protein analysis technology and use it to explore new biological frontiers. PTI supports open research and educational opportunities supporting rapid career development for scientists, engineers, and mathematicians.
New career opportunities
Members of PTI will be supported with industry-level resources to lead research projects and disseminate their discoveries and innovations to the broader biomedical community through frequent publications, presentations, and submissions to public data portals.
Summary of Position
We are looking for an individual contributor who has experience modifying and functionalizing small molecules for protein modifications and/or degradation. This position will involve the investigation and development of mass tags for proteomic analysis. The successful candidate will work in a team environment with other scientists. In order to be seriously considered for this position, we require a cover letter as part of the candidate’s application.
Responsibilities:
Design and synthesize small molecules for protein modification.
Define new directions for technology development that can unlock new testable hypotheses.
Collaborate with other scientists to use machine learning and other computational approaches to learn principles for mass tag design.
Mentor scientists and research associates.
Prepare internal reports and manuscripts as well as present results at internal or external scientific meetings as appropriate.
Demonstrate a commitment to diversity, inclusion, and cultural awareness through actions, interactions, and communications with others.
Other duties as assigned.
Qualifications:
PhD in Chemistry or Chemical Biology, or related field.
5+ years of experience in medicinal chemistry in a professional setting.
Experience in synthesizing small molecules for protein modification.
Strong quantitative and analytical skills, with a proclivity for reasoning from first principles.
Highly motivated and organized researcher with strong analytical and coding skills.
Preferred Qualifications:
Experience with mass spectrometry proteomics data analysis.
Experience working with isotopes of carbon, nitrogen, oxygen, and hydrogen.
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