Schrödinger
Schrödinger is currently hiring for 3 data science, machine learning and AI roles, mostly for machine learning engineers and research scientists. Openings are based in New York and San Diego. The skills Schrödinger asks for most often are Machine Learning, Python, PyTorch and Agentic AI. Hiring teams include Life Science Software and Materials Science Software. Across 3 listings that published pay, the median advertised base salary is $148k a year.
At a glance
- Teams
- Life Science Software (2) · Materials Science Software (1)
- Seniority
- Senior (2) · Mid (1)
- Locations
- New York (3)San Diego (1)USA (3)
- Remote
- 0 of 3 open roles
- Advertised pay
- $148k median · $146k–$220k typical (3 listings, annual USD)
- On the board since
- August 2026 · 3 roles listed
3 roles at Schrödinger
Working at Schrödinger: common questions
Is Schrödinger hiring data scientists right now?
Yes — Schrödinger has 3 open data science, machine learning or AI roles on the board, 2 of them posted in the last 30 days. The most recent was posted on October 2, 2026.
What kind of data roles does Schrödinger hire for?
Current openings break down as Machine Learning Engineer (1) and Research Scientist (1). They sit in teams such as Life Science Software and Materials Science Software.
What skills does Schrödinger look for?
The most requested skills are Machine Learning, Python, PyTorch, Agentic AI, AI and Cloud Computing. Machine Learning appears in 3 of 3 listings.
Does Schrödinger offer remote data jobs?
None of Schrödinger's current data roles are marked remote — they are based in New York and San Diego.
Where is Schrödinger hiring?
Open roles are based in New York and San Diego.
What seniority levels does Schrödinger hire at?
By seniority, openings are senior (2) and mid (1).
How much does Schrödinger pay data scientists?
Across 3 listings that published a salary, the median advertised base pay is $148k a year, with most falling between $146k and $220k. Figures are converted to annual US dollars and reflect advertised ranges, not confirmed offers.