scientific computing jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-08-16, scientific computing appears in 118 job postings indexed by Skillenai over the past 90 days — most often required for AI Trainer roles, with demand up 65% vs the prior 4 weeks.
Last updated · 90d ending 2026-08-16
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Frequently asked questions about scientific computing
+Is scientific computing in demand in 2026?
Yes. scientific computing appears in 118 job postings indexed by Skillenai over the 90 days ending 2026-08-16, with demand up 65% vs the prior 4 weeks. It is most often required for AI Trainer roles (11% of AI Trainer postings list it).
+What jobs require scientific computing?
According to the Skillenai jobs index over the 90 days ending 2026-08-16, the job titles most likely to require scientific computing are AI Trainer (11% of postings list scientific computing), Software Engineer (11% of postings list scientific computing), Research Scientist (8% of postings list scientific computing).
+What skills are commonly paired with scientific computing?
Across job postings indexed by Skillenai (90 days ending 2026-08-16), scientific computing most often appears alongside Python, machine learning, Data analysis, NumPy, deep learning.
+Where is scientific computing most in demand?
As of 2026-08-16, the metro areas posting the most jobs requiring scientific computing are San Francisco, Cambridge, Long Beach, London, New York City, according to the Skillenai jobs index.
+How can I keep up with new scientific computing content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning scientific computing alongside the jobs index. You can subscribe to a daily email digest of new scientific computing content from your Skillenai account.
Weekly job postings requiring scientific computing — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Job titles most likely to require scientific computing
| Role | Postings mentioning | % requiring |
|---|---|---|
| AI Trainer | 13 | 11.0% |
| Software Engineer | 13 | 11.0% |
| Research Scientist | 10 | 8.5% |
| Data Scientist | 9 | 7.6% |
| Fluid Systems Engineer | 7 | 5.9% |
| Applied AI Engineering Manager | 3 | 2.5% |
| Applied Engineer | 3 | 2.5% |
| Machine Learning Engineer | 3 | 2.5% |
| Machine Learning Software Engineer | 3 | 2.5% |
| Materials Data Scientist | 3 | 2.5% |
Top metros hiring for scientific computing
| Name | Postings | Share |
|---|---|---|
| San Francisco | 15 | 12.7% |
| Cambridge | 9 | 7.6% |
| Long Beach | 7 | 5.9% |
| London | 6 | 5.1% |
| New York City | 5 | 4.2% |
| Redwood City | 4 | 3.4% |
| Costa Mesa | 3 | 2.5% |
| Singapore | 3 | 2.5% |
| Ann Arbor | 2 | 1.7% |
Skills commonly paired with scientific computing
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-08-16. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Pages refresh weekly (or daily for the top-50 most-requested skills).
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 0d540314f5d1665e
- data_as_of
- 2026-08-16
- window_days
- 90
The demand, skills, and geo numbers on this page come from the same Skillenai labor market index that powers our API. Use it for compensation benchmarking, hiring-competition analysis, and skill-adoption tracking.
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