MountSinaiNYC tech stack
MountSinaiNYC builds mostly with SQL, Python, JavaScript, Node JS. Its stack also includes AWS, Linux, Oracle, PostgreSQL. SQL is named in 7 of the 31 job postings MountSinaiNYC published in the last 12 months (23%). Counted by Alion from the job postings of MountSinaiNYC, updated Nov 3, 2026.
What programming languages does MountSinaiNYC use?
SQL is named in 23% of job postings at MountSinaiNYC, followed by Python (19%), JavaScript (19%), Node JS (10%).
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What frameworks and libraries does MountSinaiNYC use?
Hadoop is named in 13% of job postings at MountSinaiNYC, followed by Django (10%), MSW (10%).
What databases does MountSinaiNYC use?
Oracle is named in 13% of job postings at MountSinaiNYC, followed by PostgreSQL (13%), MySQL (13%), MongoDB (10%).
What cloud and platforms does MountSinaiNYC use?
AWS is named in 19% of job postings at MountSinaiNYC, followed by Linux (16%), Azure (16%), Apache Kafka (13%).
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What developer tools does MountSinaiNYC use?
Git is named in 10% of job postings at MountSinaiNYC, followed by HL7 (10%), Azure Data Factory (6%), Ansible (6%).
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What AI and ML technologies does MountSinaiNYC use?
LLM is named in 3% of job postings at MountSinaiNYC.
Which engineering practices does MountSinaiNYC ask for?
SOAP is named in 19% of job postings at MountSinaiNYC, followed by Flow Cytometry (16%), Machine Learning (13%), qPCR (10%).
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What does each MountSinaiNYC team work with?
The technologies each team's postings require most often, with the number of postings that require them.
Data Science
6 postingsHow does your stack fit MountSinaiNYC?
How is the MountSinaiNYC stack changing?
Read from the dates of the postings themselves: a technology is new when the first posting that names it appeared in the last six months, rising or falling when its share of postings moved between the last two quarters.
How modern is the MountSinaiNYC stack?
MountSinaiNYC scores 72 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 1; legacy ones: 0.
How common is the MountSinaiNYC stack in its industry?
Share of the 2,725 companies in the same industries, whose stack Alion knows, that use each technology.
What sets MountSinaiNYC apart
Companies with a stack like MountSinaiNYC
Questions about the MountSinaiNYC tech stack
What programming languages does MountSinaiNYC use?
The languages named in MountSinaiNYC job postings are SQL (23%), Python (19%), JavaScript (19%), Node JS (10%), PHP (10%), as a share of the 31 postings of the last 12 months.
Does MountSinaiNYC use Hadoop?
Yes. Hadoop is named in 4 of 31 job postings (13%) and required in 3 of them.
What cloud and platforms does MountSinaiNYC use?
The cloud and platforms named in MountSinaiNYC job postings are AWS (6), Linux (5), Azure (5) (postings in brackets).
What skills do you need for a Data Science job at MountSinaiNYC?
Data Science postings at MountSinaiNYC most often require SQL (5), PostgreSQL (4), Apache Kafka (3), Azure (3), out of 6 postings in the last 12 months.
Is the MountSinaiNYC tech stack changing?
Yes. ELISA, qPCR, Immunohistochemistry, SOAP first appeared in MountSinaiNYC job postings in the last six months.
How modern is the MountSinaiNYC tech stack?
MountSinaiNYC scores 72 out of 100 (Modern). The score averages how current each technology in the stack is and adds weight for AI adoption. AI technologies in the stack: 1; legacy ones: 0.
How does Alion know the MountSinaiNYC tech stack?
Alion reads every job posting MountSinaiNYC publishes and tags the technologies each one names. The figures on this page count the 31 postings of the last 12 months and were updated on Nov 3, 2026.
Method and citation
Alion reads every job posting the company publishes and tags the technologies each one names. Shares count the postings of the last 12 months, open and closed; the company's own products are counted apart. How we count
Alion, "MountSinaiNYC tech stack: 75 technologies from 31 job postings", as of Nov 3, 2026. https://alion.io/company/mountsinainyc/technologies
