Research Scientist
Listed by employer · Checked
Older posting · still listed ·
- Work arrangement
- onsite
- Employment
- FullTime
- Stated compensation
- Not specified
Does the location policy fit?
Choose where you would work from. We’ll compare it with the posting’s stated requirements.
Choose a country to check geographic compatibility. The source requirements are available below.
The employer’s posting date is more than 60 days ago. It remained listed at our last successful check; it may be a long-running or evergreen opening. Confirm availability on the original posting before applying.
Browse jobs posted in the past 60 days →This checks the posting’s stated requirements, not your legal right to work. Confirm details with the employer.
Requirements
1 with evidence8 unclear or unstated- Remote policy
- onsite
“Provider workplace type: onsite”
From employer posting metadata - Employment type
- FullTime
9 fields not stated in this posting
- Employer sponsorship
- Not specified
- Geographic scope
- Not specified
- Degree requirement
- Not specified
- Security clearance
- Not mentioned
- Timezone / hours
- Not specified
- Citizenship requirement
- Not mentioned
- Minimum experience (years)
- Not specified
- Work authorization
- Not specified
- Compensation
- Not specified
These details were not stated in the tracked posting. Confirm with the employer.
Original job description
Reading view uses normalized posting text so exact evidence excerpts can be highlighted.
Show less description
Original formatting and links
About Chai Discovery
Chai Discovery builds the computer-aided design suite for molecules. Eli Lilly, GSK, Pfizer, Bristol Myers Squibb, argenx and Novartis all use Chai to power drug discovery programs. AI is reinventing life sciences the same way it reinvented software engineering, and our team is building that future.
We train frontier models that learn the underlying foundations of biochemical structure and interaction. We pair this with a computational workspace to iterate on molecules from idea to medicine, helping scientists move faster and develop medicines beyond the reach of existing methods.
We value diverse perspectives and are ready to find greatness in unexpected places.
About the role
We are hiring research scientists with outlier insight who can drive new avenues for the work we pursue. From pre-training large diffusion models and architecture design, to post-training and inference time scaling, we draw upon the best ideas from within our domain and across the field.
Our models have moved beyond protein structure prediction into real-world therapeutic engineering—and we have only just begun. Our team hails from physics, math, theoretical computer science, computational biology and related disciplines. Everyone is capable and self-sufficient, and everyone helps foster a highly collaborative and collegial environment.
Our view is that executing on a long-term research program requires bringing together the right people, with access to the best resources, aligned towards common objectives. And nothing is more essential to our mission and our business than the progress of our research.
About you
We are looking for researchers driven by impact and foundational progress. We index on sustained focus, rigor and results—people who get obsessed with hard problems and don't give up easily. Folks with a nose for tackling the right questions at the right time, alongside an ample dose of grit and curiosity.
We value academic training, research track record, and proven industry accomplishments; we are also more than willing to make a bet on rising talent. We look for engineering capability as well as literature fluency.
We offer
The opportunity to work at the vanguard of AI research and frontier biology, with world-class people, on a mission that matters. We protect and promote a culture of high velocity and ownership. We compensate our team accordingly.
No similar roles found yet — browse all chaidiscovery jobs.