Home › Companies › Columbiauniversity1 › Adjunct Lecturer, Intro to Blockchain, Cryptocurrencies & Analytics (On-campus, Fall '26)
Adjunct Lecturer, Intro to Blockchain, Cryptocurrencies & Analytics (On-campus, Fall '26)
Columbiauniversity1 · New York, NY, United States · Active · $11,000–$13,000 / year · SmartRecruiters
Job facts
| Field | Value |
|---|---|
| Company | Columbiauniversity1 |
| Title | Adjunct Lecturer, Intro to Blockchain, Cryptocurrencies & Analytics (On-campus, Fall '26) |
| Normalized title | - |
| Department / team | Applied Analytics |
| Location | New York, NY, United States |
| Work model | - |
| Employment type | Part Time |
| Salary | $11,000–$13,000 / year |
| Status | active |
| ATS provider | SmartRecruiters |
| Posted / first seen | 2026-02-27 / 2026-05-31 |
| Changed / last seen | 2026-05-31 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Columbiauniversity1. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through SmartRecruiters. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in New York. | Open |
| Department jobs | Active postings in Applied Analytics. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Columbiauniversity1 |
| Source | 252db8b6-df89-482b-953f-2d4f2f975720 |
| ATS provider | SmartRecruiters |
Description
Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society.
The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through twenty professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good.
Columbia University, School of Professional Studies (SPS) seeks candidates to serve as a part-time Lecturer to teach an on-campus graduate-level course in Introduction to Blockchain, Crypto-currencies & Analytics. This course provides our Applied Analytics Master of Science degree students with an introduction to blockchains and crypto-currencies as well as cryptographic protocols, hash, digital signatures, chaining of blocks of transactions, decentralization using mining based on proof of work, and smart contracts.
Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty that have outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting.
Requirements
Doctoral degree in an area related to applied analytics, computer science, or information technology Solid knowledge and academic foundation in statistics. Deep understanding of machine learning concepts and algorithms. Proficiency in R and Python programming. Professional experience and demonstrated success in a role involving applied analytics, crypto, blockchain, etc. Preferred Skills & Experience
10+ years of professional experience in analytics-focused roles. 2+ years of teaching experience, ideally at the graduate level. Proficient in JavaScript
Salary range: $11,000 - $13,000 per semester long course
Please submit a resume inclusive of university teaching experience.
All your information will be kept confidential according to EEO guidelines.
Columbia University is an Equal Opportunity Employer / Disability / Veteran
Full job record
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| Source ID | 252db8b6-df89-482b-953f-2d4f2f975720 |
| Board ID | 252db8b6-df89-482b-953f-2d4f2f975720 |
| Provider | smartrecruiters |
| Provider Job Key | 744000111916759 |
| Title | Adjunct Lecturer, Intro to Blockchain, Cryptocurrencies & Analytics (On-campus, Fall '26) |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | New York, NY, United States |
| Department | Applied Analytics |
| Team | — |
| Employment Type | part_time |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | NY |
| City | New York |
| Salary Raw | Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through twenty professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. Columbia University, School of Professional Studies (SPS) seeks candidates to serve as a part-time Lecturer to teach an on-campus graduate-level course in Introduction to Blockchain, Crypto-currencies & Analytics. This course provides our Applied Analytics Master of Science degree students with an introduction to blockchains and crypto-currencies as well as cryptographic protocols, hash, digital signatures, chaining of blocks of transactions, decentralization using mining based on proof of work, and smart contracts. Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty that have outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements Doctoral degree in an area related to applied analytics, computer science, or information technology Solid knowledge and academic foundation in statistics. Deep understanding of machine learning concepts and algorithms. Proficiency in R and Python programming. Professional experience and demonstrated success in a role involving applied analytics, crypto, blockchain, etc. Preferred Skills & Experience 10+ years of professional experience in analytics-focused roles. 2+ years of teaching experience, ideally at the graduate level. Proficient in JavaScript Salary range: $11,000 - $13,000 per semester long course Please submit a resume inclusive of university teaching experience. All your information will be kept confidential according to EEO guidelines. Columbia University is an Equal Opportunity Employer / Disability / Veteran |
| Salary Min | 11,000 |
| Salary Max | 13,000 |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://jobs.smartrecruiters.com/ColumbiaUniversity1/744000111916759-adjunct-lecturer-intro-to-blockchain-cryptocurrencies-analytics-on-campus-fall-26- |
| Apply URL | https://jobs.smartrecruiters.com/ColumbiaUniversity1/744000111916759-adjunct-lecturer-intro-to-blockchain-cryptocurrencies-analytics-on-campus-fall-26-?oga=true |
| First Seen At | 2026-05-31 17:36:11Z |
| Last Seen At | 2026-06-06 19:41:36Z |
| Last Checked At | 2026-06-06 19:41:36Z |
| Last Changed At | 2026-05-31 17:36:11Z |
| Inactive At | — |
| Source Posted At | 2026-02-27 18:42:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=smartrecruiters/board=columbiauniversity1/date=2026-06-06/2026-06-06T19-41-30-851Z-20a34eae43ceee4fdc40a938c901dd77121f850d242397beae458f49d7707da8.json |
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