Research Jobs at Columbia University with Visa Sponsorship
Research jobs at Columbia University span positions from research staff scientist to postdoctoral fellow across its schools, institutes, and affiliated medical centers. The university has an established international hiring process and sponsors multiple work visa categories for qualified Research candidates.
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Columbia Technology Ventures is the technology transfer office for Columbia University and a central location for many of the technology development initiatives, entrepreneurial activities, external industry collaborations, and commercially-oriented multidisciplinary technology innovations across the university. CTV’s core mission is to facilitate the transfer of inventions from academic research labs to the market for the benefit of society on a local, national, and global basis. Each year, CTV manages more than 400 invention disclosures, 100 license deals, and 20 - 30 new IP-backed startups, involving over 750 inventors across Columbia's campuses. CTV currently has over 1,500 patent assets available for licensing, across research fields such as bio, IT, clean tech, devices, big data, nanotechnology, materials science, and more.
CTV has extensive experience founding and supporting technology initiatives to enable promising technologies to accelerate across the “valley of death” and reach the market as quickly and successfully as possible. Many of these initiatives are explicitly multi-institutional, requiring extensive collaboration with our peer universities and their tech transfer offices. A few of the organizations CTV has been instrumental in establishing are the PowerBridgeNY clean energy proof-of-concept center, the NYC Media Lab, and the Columbia Biomedical Technology Accelerator (Columbia BiomedX), formally the Columbia-Coulter Translational Research Partnership. In addition, Translational Therapeutics (TRx) Resource was launched in 2016, in collaboration with the Irving Institute for Clinical and Translational Research and The Clinical Trials Office, to advance novel therapeutics from the lab towards the path of commercialization and clinical implementation.
CTV’s efforts are backed by 45 full time staff and an additional 30+ graduate student interns (CTV Fellows), providing broad support to the Columbia community and other stakeholders with marketing, legal (patents, contracts, etc.), business start-up help, and administrative tasks. CTV also runs an Executive-in-Residence program, which brings seasoned industry executives, serial entrepreneurs, and investors to campus to support faculty and student entrepreneurial activities.
Columbia Technology Ventures is seeking a Business Development Operations & Market Research Analyst to drive strategic intelligence, AI tool integration, and database management in support of Business Development initiatives and office-wide process improvements. Working closely with the Business Development Officer and Portfolio Manager, this role focuses on the proactive matchmaking of university innovations to external funding and licensing opportunities.
Responsibilities
AI & Data Infrastructure Integration
- Lead the design and deployment of AI-driven workflow, including customized LLMs and automated data extraction pipelines, for the Business Development (BD) and Lab-to-Market (L2M) team to optimize matchmaking between Columbia University’s technology portfolio and external industry partners. Improve existing Columbia Technology Ventures (CTV) AI capabilities within the existing Columbia IT and AI infrastructure and develop new and improved AI tools that further empower the BD team to accelerate team operations with greater targeting accuracy. This effort leverages both internal and external-facing data to primarily service BD/L2M activities that support office-wide licensing and commercialization efforts.
Market Intelligence & Trend Analysis
- Monitor and analyze capital flow, venture funding, and market trends across life sciences and physical sciences sectors to inform the CTV BD/L2M team’s commercialization strategies, and the licensing efforts of the CTV office. Leverage AI and build automated workflows to continuously gather, synthesize, and distribute actionable market intelligence to the BD/L2M team. Determine reliable and actionable public sources of funding data that influence academic tech transfer operations. Align with licensing priorities to identify, track, and attend targeted local networking events and conferences to formalize external investor/industry relationships.
Relationship & Database Management
- Build and maintain an active, high-fidelity contact database of active/up-to-date industry and VC connections, ensuring the BD/L2M team is equipped to introduce licensable technologies to the correct stakeholders in real-time. Organize existing external contacts and develop automated tools to facilitate both historical and new lead tracking.
Venture Mapping & Peer Benchmarking
- Actively identify and track venture capital firms, corporate partners, and startups investing in technologies aligned with Columbia's research outputs. Work with supervisors and the BD/L2M team to implement best practices emerging from peer institutions / tech transfer offices.
Portfolio Strategy
- With guidance from the supervisor, organize and analyze CTV's internal portfolio data, providing actionable insights that allow the Licensing team to be highly targeted in their outreach and licensing efforts. Generate actionable insights by building dynamic tools that merge internal licensing data with external metrics.
Minimum Qualifications
- Bachelor's degree and/or equivalent minimum 2-3 years of related experience in Computer Science, Data Science, Bioinformatics, Bioengineering, or a closely related analytical field required.
- Hands-on experience leveraging data analytics, CRM platforms, and AI/LLM tools to automate workflows, synthesize large datasets, and extract actionable business intelligence.
- Proven ability to apply artificial intelligence solutions (e.g., prompt engineering, custom AI agents, or workflow automation) to solve operational challenges.
- Exceptional organizational skills with the ability to manage complex, detail-oriented tasks in a high-volume, dynamic environment.
- Experience working both independently and in a team-oriented, collaborative environment is essential.
Preferred Qualifications
- Foundational knowledge or academic coursework in Biology, Life Sciences, Bioengineering, or a closely related scientific field to assist in contextualizing biotech and physical science innovations.
- A basic understanding of the life sciences and physical sciences venture capital landscape, biopharma and industry dynamics, and the academic technology transfer lifecycle.
- Prior experience with Salesforce preferred.
- Excels at building relationships and networking.
LOCATION
- Location: Manhattanville
COMPENSATION
- Salary Range: $75,000 - $80,000
The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.
Equal Opportunity Employer / Disability / Veteran
Columbia University is committed to the hiring of qualified local residents.
Position Summary
Columbia Technology Ventures is the technology transfer office for Columbia University and a central location for many of the technology development initiatives, entrepreneurial activities, external industry collaborations, and commercially-oriented multidisciplinary technology innovations across the university. CTV’s core mission is to facilitate the transfer of inventions from academic research labs to the market for the benefit of society on a local, national, and global basis. Each year, CTV manages more than 400 invention disclosures, 100 license deals, and 20 - 30 new IP-backed startups, involving over 750 inventors across Columbia's campuses. CTV currently has over 1,500 patent assets available for licensing, across research fields such as bio, IT, clean tech, devices, big data, nanotechnology, materials science, and more.
CTV has extensive experience founding and supporting technology initiatives to enable promising technologies to accelerate across the “valley of death” and reach the market as quickly and successfully as possible. Many of these initiatives are explicitly multi-institutional, requiring extensive collaboration with our peer universities and their tech transfer offices. A few of the organizations CTV has been instrumental in establishing are the PowerBridgeNY clean energy proof-of-concept center, the NYC Media Lab, and the Columbia Biomedical Technology Accelerator (Columbia BiomedX), formally the Columbia-Coulter Translational Research Partnership. In addition, Translational Therapeutics (TRx) Resource was launched in 2016, in collaboration with the Irving Institute for Clinical and Translational Research and The Clinical Trials Office, to advance novel therapeutics from the lab towards the path of commercialization and clinical implementation.
CTV’s efforts are backed by 45 full time staff and an additional 30+ graduate student interns (CTV Fellows), providing broad support to the Columbia community and other stakeholders with marketing, legal (patents, contracts, etc.), business start-up help, and administrative tasks. CTV also runs an Executive-in-Residence program, which brings seasoned industry executives, serial entrepreneurs, and investors to campus to support faculty and student entrepreneurial activities.
Columbia Technology Ventures is seeking a Business Development Operations & Market Research Analyst to drive strategic intelligence, AI tool integration, and database management in support of Business Development initiatives and office-wide process improvements. Working closely with the Business Development Officer and Portfolio Manager, this role focuses on the proactive matchmaking of university innovations to external funding and licensing opportunities.
Responsibilities
AI & Data Infrastructure Integration
- Lead the design and deployment of AI-driven workflow, including customized LLMs and automated data extraction pipelines, for the Business Development (BD) and Lab-to-Market (L2M) team to optimize matchmaking between Columbia University’s technology portfolio and external industry partners. Improve existing Columbia Technology Ventures (CTV) AI capabilities within the existing Columbia IT and AI infrastructure and develop new and improved AI tools that further empower the BD team to accelerate team operations with greater targeting accuracy. This effort leverages both internal and external-facing data to primarily service BD/L2M activities that support office-wide licensing and commercialization efforts.
Market Intelligence & Trend Analysis
- Monitor and analyze capital flow, venture funding, and market trends across life sciences and physical sciences sectors to inform the CTV BD/L2M team’s commercialization strategies, and the licensing efforts of the CTV office. Leverage AI and build automated workflows to continuously gather, synthesize, and distribute actionable market intelligence to the BD/L2M team. Determine reliable and actionable public sources of funding data that influence academic tech transfer operations. Align with licensing priorities to identify, track, and attend targeted local networking events and conferences to formalize external investor/industry relationships.
Relationship & Database Management
- Build and maintain an active, high-fidelity contact database of active/up-to-date industry and VC connections, ensuring the BD/L2M team is equipped to introduce licensable technologies to the correct stakeholders in real-time. Organize existing external contacts and develop automated tools to facilitate both historical and new lead tracking.
Venture Mapping & Peer Benchmarking
- Actively identify and track venture capital firms, corporate partners, and startups investing in technologies aligned with Columbia's research outputs. Work with supervisors and the BD/L2M team to implement best practices emerging from peer institutions / tech transfer offices.
Portfolio Strategy
- With guidance from the supervisor, organize and analyze CTV's internal portfolio data, providing actionable insights that allow the Licensing team to be highly targeted in their outreach and licensing efforts. Generate actionable insights by building dynamic tools that merge internal licensing data with external metrics.
Minimum Qualifications
- Bachelor's degree and/or equivalent minimum 2-3 years of related experience in Computer Science, Data Science, Bioinformatics, Bioengineering, or a closely related analytical field required.
- Hands-on experience leveraging data analytics, CRM platforms, and AI/LLM tools to automate workflows, synthesize large datasets, and extract actionable business intelligence.
- Proven ability to apply artificial intelligence solutions (e.g., prompt engineering, custom AI agents, or workflow automation) to solve operational challenges.
- Exceptional organizational skills with the ability to manage complex, detail-oriented tasks in a high-volume, dynamic environment.
- Experience working both independently and in a team-oriented, collaborative environment is essential.
Preferred Qualifications
- Foundational knowledge or academic coursework in Biology, Life Sciences, Bioengineering, or a closely related scientific field to assist in contextualizing biotech and physical science innovations.
- A basic understanding of the life sciences and physical sciences venture capital landscape, biopharma and industry dynamics, and the academic technology transfer lifecycle.
- Prior experience with Salesforce preferred.
- Excels at building relationships and networking.
LOCATION
- Location: Manhattanville
COMPENSATION
- Salary Range: $75,000 - $80,000
The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.
Equal Opportunity Employer / Disability / Veteran
Columbia University is committed to the hiring of qualified local residents.
Tips for Finding Research Jobs at Columbia University
Align your credentials with Columbia's research focus
Columbia Research roles typically require specialization in a defined field. Match your CV to the specific department's active grants and publication areas, not just the job title. Sponsored roles almost always require an advanced degree in the exact discipline.
Target department-level hiring not central HR
Most Research positions at Columbia originate within individual labs or institutes. Reaching out directly to principal investigators whose work aligns with your background puts you in front of the hiring decision-maker before a job is formally posted.
Confirm your visa category matches the role structure
Columbia sponsors H-1B, E-3, TN, and F-1 OPT depending on nationality and role type. Postdoctoral positions are sometimes structured as J-1 exchange appointments instead, which affects your long-term status options. Clarify which category the department intends to use before accepting an offer.
Time your OPT start date around Columbia's filing calendar
If you're transitioning from F-1 OPT to H-1B at Columbia, USCIS requires the H-1B petition to be filed before your OPT expires. Columbia's international office has internal deadlines weeks ahead of the USCIS cap-gap window, so coordinate early.
Use Migrate Mate to filter open Research roles by visa type
Columbia posts Research openings across multiple portals and hiring moves quickly in competitive departments. Migrate Mate lets you filter Columbia's Research jobs by the specific visa category you need, so you're only applying to roles where sponsorship is confirmed.
Prepare your PERM documentation for permanent research positions
For tenure-track or senior Research staff roles leading to Green Card sponsorship via EB-2 or EB-3, Columbia initiates the DOL PERM labor certification process. Gather prior employer records, transcripts, and publication lists before your offer stage, as PERM preparation begins immediately after hiring.
Frequently Asked Questions
Does Columbia University sponsor H-1B visas for Research roles?
Yes, Columbia University sponsors H-1B visas for Research positions that qualify as specialty occupations, which typically means roles requiring at least a bachelor's degree in a specific academic field. Most Research scientist, staff scientist, and senior researcher roles meet this threshold. The university's international students and scholars office manages the petition process on behalf of the hiring department.
How do I apply for Research jobs at Columbia University?
Research positions at Columbia are posted through the university's central jobs portal, but many lab-based roles are also filled through direct outreach to faculty. Start by identifying departments or principal investigators whose research aligns with your background, then apply formally through the Columbia careers site. You can also browse open Research roles at Columbia filtered by visa type on Migrate Mate.
Which visa types does Columbia University commonly use for Research staff?
Columbia uses H-1B for most full-time Research staff, E-3 visa for Australian nationals, and TN visa for Canadian and Mexican researchers in qualifying occupational categories. F-1 OPT and CPT are available for current students. Some postdoctoral positions are offered under J-1 visa exchange visitor status through Columbia's research programs, which has different work authorization rules than H-1B.
What qualifications does Columbia University expect for sponsored Research roles?
Most sponsored Research roles require a master's or doctoral degree in a field directly relevant to the position, such as biomedical sciences, public health, computer science, or social research disciplines. Practical lab skills, publication records, and experience with grant-funded projects strengthen your application. Senior roles may also require demonstrated project management or independent research experience alongside formal academic credentials.
How long does the visa sponsorship process take for a Columbia Research role?
Timeline depends on visa type. H-1B petitions filed under the annual cap must be submitted in April for an October 1 start date, so offers need to be in place months earlier. Cap-exempt Research roles at Columbia, which many university positions qualify for, can be filed year-round with standard USCIS processing taking two to four months. Premium processing shortens that to around two weeks.