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Job Type
Remote -
Experience
2-4 year -
Salary
$120,000 - $190,000 / Year -
Location
United States -
Job Function
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Industry
Information Technology -
Qualification
Key Skills
Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming
Job Description
About 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.
Desired skills and experience
- At least 2-3 years of industry experience applying ML to 'real-world' problems.
- Comfort with modern development and deployment tools (Git, Linux, AWS).
- Proven competence in modern deep learning architectures.
Bonus
- Experience in applying ML to chemistry or drug design problems.
Salary: 120k - 180k
Equity: 0.05% - 0.20%
Visa Sponsorship: Not at this time
Hiring Manager: Tony Schroeder
Company Info.
PostEraPostEra is building a modern biopharma, using machine learning to accelerate medicinal chemistry, to develop cures for diseases, faster. We've raised $26M from top investors, secured a $68M NIH partnership to prevent pandemics, and established a $260M partnership with Pfizer. We also launched and help lead the world's largest open-science initiative to find a COVID antiviral; COVID Moonshot.
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IndustryHealthcare,Artificial intelligence
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No. of Employees20
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LocationBoston, MA, USA
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Website
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Jobs Posted