Superluminal Medicines
superluminalrx.com
Actively hiring
Drug Discovery AI
Drug Discovery
As featured in
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Overview
News
Technologies
Salaries
Products
People
Growth
Offices
Financials
Funding and backers
Team
1-10
employees, estimated range
Hiring now
6
+5 posted in 30 days
Backers
2
RA Capital Management, Insight Partners
Momentum
33/100
hiring for its size
Last sign of life
2 mo ago
a posting or a news item
The story so fareach stage dated by its source: the company's releases, the press, registers, filings
May 2023
Website went live first capture in the Wayback Machine
Tractionpublic signals, read monthly
Web presence
top 0.13%
of 133.2M domains by links, Common Crawl
Backed byfrom the funds' portfolios and accelerator catalogs
RA Capital Management 
Insight Partners Investors in similar startupsfunds that back the companies most like this one
backs Xaira Therapeutics
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Overview
Superluminal Medicines is a software led drug discovery company focused on helping researchers find and develop new medicines more efficiently. From its positioning and messaging, the core problem it tackles is the time and cost involved in identifying promising drug candidates and understanding how they might behave, a process that is often slowed down by fragmented data, complex biology, and long experimental cycles. Superluminal appears to address this by building computational tools that support decision making earlier in the discovery pipeline, aiming to help teams prioritise the most viable options before committing heavily to lab work.
News
"Biopharma returns to MC4R for drugs targeting genetic obesity as well as appetite loss." Featured Story on Endpoints News by Kyle LaHucik
The post "Biopharma returns to MC4R for drugs targeting genetic obesity as well as appetite loss." Featured Story on Endpoints News by Kyle LaHucik appeared first on Superluminal.
Read more
Report
Optimizing Drug Design by Merging Generative AI With Active Learning Frameworks: Published in Communications Chemistry
The post Optimizing Drug Design by Merging Generative AI With Active Learning Frameworks: Published in Communications Chemistry appeared first on Superluminal.
Read more
Report
Optimizing drug design by merging generative AI with a physics-based active learning framework
Machine learning is transforming drug discovery, with generative models (GMs) gaining attention for their ability to design molecules with specific properties. However, GMs often struggle with target engagement, synthetic accessibility, or generalization.
Read more
Report
Tech stack
Technologies named in job postings at Superluminal Medicines over the last 12 months, by layer, with the share of postings for each.
Technologies in use
11
Postings analysed
13
Stack modernity
73/100
Languages
Python8%
Frameworks & libraries
NumPy8%
PyTorch8%
Ray8%
Scikit-learn8%
Cloud & platforms
GCP8%
AWS8%
Linux8%
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Full Superluminal Medicines tech stack
11 technologies · by team · pay by technology · changes · similar stacks
Salary insights
Compensation ranges based on this company's open jobs
Median
$169k
Typical range
$100k – $357k
Open positions
5
5
Jobs
Junior
20%
Senior
40%
Staff
20%
Architect
20%
| Level | Jobs | Median | Typical range |
|---|---|---|---|
| Junior | 1 | $100k | $100k |
| Senior | 2 | $172k | $169k – $176k |
| Staff | 1 | $140k | $140k |
| Architect | 1 | $357k | $357k |
Highest paying role
Vice President, Head of Legal
$357k
Normalized to USD per year
All salaries at Superluminal Medicines
By role, level and city, against the market · 5 jobs with pay
Growth
Hiring Momentum
79/100
Scaling fast
Open positions
6
5 opened / 4 closed in 30 days
Median time-to-fill
57 days
faster than 24% of the market
ATS activity
Every ~4 hours
Today
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Science & Research
63% ▲
Legal
13% ▲
Operations
13% ▼
Early Careers
13% ▼
Actively hiring for Science & Research (+4 in 30 days)
Activity Timeline
Removed Windows from stack
Sep 2026
Added Windows to stack
Sep 2026
Added Linux to stack
Sep 2026
Added Machine Learning to stack
Sep 2026
Added GCP to stack
Sep 2026
Added Microsoft Excel to stack
Sep 2026
Offices
Where the company hires and what each office is for
Cities
1
Hiring now
1
Countries
1
Busiest office
Boston
Boston
United States
HQ
Boston, MA
6 open roles 8 posted in 90 days 83% engineering 1-10 est. staff $188k Avg Salary
hires for Science & Research, Legal