You and the process

With a person
Anna, in-house recruiter
9 years hiring engineers
30 minutes with a real recruiter
They read your CV with you, on a call, and say where the offers are being lost.
Didn’t find what you were looking for? Tell us what to build
Chai Discovery

Research Scientist, Pre-training Research

  • Office

Salary

Not stated

Similar roles pay $140K - 225K a year · our estimate

AI summary

For members

The whole posting in a few lines. Sign up to read it here and on every role you open.

Sign Up to Read

Description

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 to work on foundation model pre-training. Our models learn the foundations of molecular structure and interaction, and their success depends on carefully designed architectural components, training objectives, and data mixes.

At Chai, pre-training research is largely domain-agnostic: understanding model architecture, reading training curves, and knowing when to move between phases of a recipe. We are biased toward simplification, generality, and scale. We adapt the best ideas from frontier language, image, and video models into our domain.

Our models have moved beyond protein structure prediction into real-world therapeutic engineering, and you will have the compute and the team to push that further.

Requirements

  • We look for researchers with a strong track record, which can take many forms: getting a model to work, developing impactful theory, or making a substantial contribution to the field. In particular we look for:
  • Depth in generative modelling, model architecture, or scaling laws.
  • Hands-on experience designing and training large models.
  • Theoretical grounding in CS, ML, math, or physics.
  • We are happy to bet on rising talent.

Benefits

  • 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.

Where you’d work

From the office

The office

About the company

Chai Discovery

  • Industry: HealthTech

Office in San Francisco, United States

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 19 checks run
  • 1 red flag

Still hiring?

13 checks

1 red flag

How crowded?

6 checks

No red flags

Fits Me

How well does this role fit you?

Answer a few questions or drop your CV, and every role gets a fit score with the reasons, this one first.

  • Your field
  • Level
  • Stack
  • Work model
  • Salary floor
  • Must-haves
Details9 facts · Role, Location, Compensation, Employment, Company
Type
Full-time
Industry
HealthTech
Specialty
Data Science
Region
United States
Pay period
Annual
Show 4 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Science

Location

Work model
Office
Region
United States
Office
  • San Francisco, United States

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

Company

Industry
HealthTech

Something wrong with this vacancy?

Similar vacancies

Share this vacancy

What's wrong with it?

The employer never sees who reported.

Reason