Medicinal Chemistry powered by Machine Learning
What is the role?
This role will be focused on developing machine learning algorithms to design molecular structures, forecast chemical properties, and predict the outcomes of organic synthesis.
You will work closely with domain experts in drug discovery to curate datasets, benchmark algorithms, analyze biotech assay results, deploy models, and relentlessly get to the truth about what works and what doesn’t in tools for drug discovery. Your favorite tool is whichever one helps the world cure more diseases faster, full stop.
We envisage that some of the work will be showcased at top conferences/journals -- giving back to the scientific community is a core value of PostEra.
Required
Desired
About PostEra
PostEra is building a modern biopharma, using machine learning to accelerate medicinal chemistry. We have raised over $26M from top investors, established two strategic partnerships with Pfizer, secured a multi-year partnership with the NIH to prevent pandemics, and are in the process of building our internal pipeline. We also launched and help lead the world's largest open-science initiative to find a COVID antiviral; COVID Moonshot.
PostEra is building a modern 21st century biopharma. We’re using our advances in machine learning to close the Design-Make-Test cycle of Medicinal Chemistry and bring more cures to patients.
We've raised $26M from top tech/healthcare investors and signed over $370M in multi-year deals with partners like Pfizer and the NIH.
What are we working on?