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As of 3 November 2026, Valo has 2 open roles (0 new in 30 days), its data & ai team is hiring most, and its postings name Python, Core ML and MLflow as the tools the team works in.
As of 3 November 2026 · refreshed daily · counts move as websites, DNS and career sites are re-read.
- Headquarters
- New York City, New York, United States
- Employees
- 51-200 employees (linkedin)
- Sells to
- pharmaceutical companies, biotech industry
- Certifications on site
- Site languages
- EN
- Career system
- Greenhouse
Valo in one screen
Read from valohealth.com: what the company does, the customers it names, the buyers we can actually see, and the companies that sell the same thing.
Valo is a drug discovery and development company that uses AI, causal inference and predictive chemistry to find novel disease targets and engineer small molecules. Its approach combines AI-enabled human causal biology with closed-loop chemistry to identify and advance lead compounds. The company positions itself as a networked innovation partner in pharmaceutical research.
Named on the site: pharmaceutical companies, biotech industry.
Nearest companies by what they do, sell and whom they serve, 51+ employees. 575 scored.
What Valo says it runs
Tools named in the company's own postings as the team's systems, with the sentence that says so. What the website and DNS show is listed separately.
• Rapidly prototype computational solutions using Python.• Broad proficiency across core ML paradigms (e.g., supervised, unsupervised, semi-supervised) and experience with linear and logistic regression, classification and tree‑based methods, clustering and dimensionality‑reduction techniques, an• Mastery of Python and modern data science tools (e.g., scikit-learn, PyTorch, statsmodels, SciPy, MLlib, MLflow).• Mastery of Python and modern data science tools (e.g., scikit-learn, PyTorch, statsmodels, SciPy, MLlib, MLflow).• Proficiency working with programming languages Python, and R, modern development frameworks and developing internal packages• Mastery of Python and modern data science tools (e.g., scikit-learn, PyTorch, statsmodels, SciPy, MLlib, MLflow).• Mastery of Python and modern data science tools (e.g., scikit-learn, PyTorch, statsmodels, SciPy, MLlib, MLflow).• Understanding of cloud-native tools and modern data platforms (AWS/GCP/Azure).Experience with AI-assisted coding tools (e.g., Claude Code) is a plus.• Understanding of cloud-native tools and modern data platforms (AWS/GCP/Azure).and global medical coding ontologies and data models (ICD, ATC, LOINC, SNOMED, CPT, HCPCS, OMOP, etc.).• Understanding of cloud-native tools and modern data platforms (AWS/GCP/Azure).and global medical coding ontologies and data models (ICD, ATC, LOINC, SNOMED, CPT, HCPCS, OMOP, etc.).Shiny, Dash, Streamlit, React, Veu.js).Vendors whose code loads on valohealth.com or whose records sit in its DNS. Page plumbing (libraries, fonts, consent banners) is left out.
2 open roles, 0 opened in 90 days
Read hourly from the company's career system. Open roles and new roles in the last 30 days, by team. Companies hiring data & ai in United States →
| open · new 30 d | |
|---|---|
| Data & AI | 2 · 0 |
What is changing, read from the postings
Intents are events the employer states about itself, each with the sentence and the posting it came from.
No change signals read in the current postings.
Sales, marketing and IT leaders by function. Add Valo to a monitor and get a webhook when a role opens, a tool appears or a signal is read.
Free plan: 1,000 records, no card. The first 20 are above; e-mails are verified at the mail server when you open them.
Companies like Valo
Nearest by what they do, what they sell and whom they sell to, 51+ employees. 6 of 575 scored.
From the company's own website
Quote the sentence with the date and the link. The numbers change daily; the link always shows the current ones.
Valo (New York City, United States, 51-200 employees) has 2 open roles, 0 new in 30 days, and names 14 tools in its postings. (Breaknorm, 3 November 2026, https://breaknorm.co/company/valohealth.com)
Read from the source, not self-reported
Every number on this page can be traced to a page we crawled or a posting we read. Full methodology →
- ProfileBuilt from valohealth.com: summary, offerings, customers, certifications and contact points are extracted from its pages, with a confidence score per field.
- HiringRead hourly from the company's Greenhouse career site; reposts collapse into one record.
- Tech stackTools the employer's own text names as the team's systems, with the quote; website scripts counted separately.
- HeadcountLinkedIn where known, otherwise estimated from the site.
Valo: questions
Does Valo use Python?
Yes, by the company's own words: 2 postings name it, first seen 2026-03-15, in the data & ai team.
Is Valo hiring?
2 open roles as of 3 November 2026, 0 opened in the last 30 days and 0 closed. The largest team hiring is data & ai.
Where does this profile come from?
From valohealth.com itself: we crawled it on 2026-08-08, built the profile on 2026-08-16, and read its career site (Greenhouse) hourly since. Headcount is from LinkedIn.
Who should I write to at Valo?
The people are behind the login: decision makers by function, verified at the mail server when you open them. 0 public role addresses from the site are there too.
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The same data as a search, over MCP and the API, as bulk files, or pushed to you as it changes.
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