Albert Einstein College of Medicine Visa Sponsorship Jobs USA
Albert Einstein College of Medicine is a leading academic medical institution in New York with a consistent track record of sponsoring international talent across research, clinical, and academic roles. It's considered a reliable sponsor in the education and medical research sector, making it a strong target for visa-seeking professionals.
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As a member of the Health Research Informatics team in the Institute for Clinical and Translational Research (ICTR), the Senior Health Research Informatics Analyst will design, develop, and manage the data infrastructure that supports clinical and translational research across Einstein and Montefiore. The analyst will work closely with investigators, clinicians, data scientists, and IT professionals to ensure that research data systems are robust, scalable, and secure. The Senior Health Informatics Analyst will implement and manage health research information across several applications and data sources such as electronic medical records (EMRs), REDCap, WebCAMP, and the OMOP common data model, to enable analytics use cases and support a range of informatics projects. Responsibilities include formulating project scopes, documenting business requirements, developing data integration and quality monitoring strategies, and leveraging emerging technologies such as AI and data science tools. The successful candidate will demonstrate strong programming skills, critical thinking, and the ability to collaborate with investigators to provide excellent customer service that advances the institution’s research mission.
Key contacts include CRIO, HRIC Co-Directors, Manager HRI, all other Research Informatics staff and the ICTR. Additionally, this role will interface with principal investigators and study teams as well as CTSA hubs and other external collaborators, as needed. This position does not directly supervise any personnel.
POSITION RESPONSIBILITIES:
- Work with investigators, project sponsors, and technical teams to define project objectives, data requirements, and analytic strategies aligned with institutional research goals.
- De-identify, code, and manage clinical data in accordance with institutional policies, IRB protocols, and HIPAA regulations.
- Facilitate secure data extraction, transformation, and delivery for approved research projects data access policies, de-identification standards, and secure data handling practices.
- Review and validate data requests to ensure alignment with regulatory approvals and data-use agreements.
- Maintain detailed documentation of data provisioning processes, approvals, and data lineage for audit and compliance purposes.
- Design, document, and implement research informatics platforms, data pipelines, and infrastructure supporting clinical and translational research use cases.
- Develop and maintain data workflows involving REDCap, EMR data sources, OMOP and various research data repositories and registries.
- Apply informatics principles for data management, governance, interoperability, and quality improvement initiatives.
- Collaborate with research teams from other organizations and research consortiums.
- Support development of AI and data science solutions, including use of machine learning tools for data extraction, curation, and analysis.
- Collaborate with institutional and external partners to standardize data models, ontologies, and metadata practices that enhance research reproducibility and data sharing.
- Collaborate on topics around data quality, knowledge management, information representation and data governance.
- Train and support researchers on research information systems.
QUALIFICATIONS
Bachelor’s degree in informatics, computer science, data science, public health, or a related field.
3–5 years of experience in healthcare or biomedical research informatics.
Proficiency in SQL and relational database design.
Experience working with EMR/clinical databases and research data warehouses.
Experience in data analysis, data mining or analytics.
Experience with data management and integration tools such as REDCap, OMOP, or similar research data environments.
PREFERRED:
Master’s degree in informatics, computer science, data science, public health, or a related field.
Experience with AI/ML tools, data science or cloud-based analytics platforms.
Familiarity with terminology systems and standards (e.g., SNOMED CT, LOINC, ICD).
Experience in biomedical research procedures and IT systems implementation.
Project and customer service management experience.
SKILLS:
- Excellent interpersonal and written communication skills to provide customer service and document user interactions and requirements.
- Strong analytical skills to analyze, categorize and translate business/user requirements to functional requirements.
- Demonstrated ability to take initiatives, establish/enhance business analysis procedures and improve operational efficiency.
- Collaborative mindset and adaptability in a fast-evolving research and technology environment.
- Demonstrated commitment to innovation, continuous learning, and improving research data infrastructure.
ADDITIONAL INFORMATION:
In compliance with NYC's Pay Transparency Act, the annual base salary range for this position is listed below. Albert Einstein College of Medicine considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer.
Minimum Salary Range: USD $124,000.00/Yr.
Maximum Salary Range: USD $130,000.00/Yr.
About us:
As a member of the Health Research Informatics team in the Institute for Clinical and Translational Research (ICTR), the Senior Health Research Informatics Analyst will design, develop, and manage the data infrastructure that supports clinical and translational research across Einstein and Montefiore. The analyst will work closely with investigators, clinicians, data scientists, and IT professionals to ensure that research data systems are robust, scalable, and secure. The Senior Health Informatics Analyst will implement and manage health research information across several applications and data sources such as electronic medical records (EMRs), REDCap, WebCAMP, and the OMOP common data model, to enable analytics use cases and support a range of informatics projects. Responsibilities include formulating project scopes, documenting business requirements, developing data integration and quality monitoring strategies, and leveraging emerging technologies such as AI and data science tools. The successful candidate will demonstrate strong programming skills, critical thinking, and the ability to collaborate with investigators to provide excellent customer service that advances the institution’s research mission.
Key contacts include CRIO, HRIC Co-Directors, Manager HRI, all other Research Informatics staff and the ICTR. Additionally, this role will interface with principal investigators and study teams as well as CTSA hubs and other external collaborators, as needed. This position does not directly supervise any personnel.
POSITION RESPONSIBILITIES:
- Work with investigators, project sponsors, and technical teams to define project objectives, data requirements, and analytic strategies aligned with institutional research goals.
- De-identify, code, and manage clinical data in accordance with institutional policies, IRB protocols, and HIPAA regulations.
- Facilitate secure data extraction, transformation, and delivery for approved research projects data access policies, de-identification standards, and secure data handling practices.
- Review and validate data requests to ensure alignment with regulatory approvals and data-use agreements.
- Maintain detailed documentation of data provisioning processes, approvals, and data lineage for audit and compliance purposes.
- Design, document, and implement research informatics platforms, data pipelines, and infrastructure supporting clinical and translational research use cases.
- Develop and maintain data workflows involving REDCap, EMR data sources, OMOP and various research data repositories and registries.
- Apply informatics principles for data management, governance, interoperability, and quality improvement initiatives.
- Collaborate with research teams from other organizations and research consortiums.
- Support development of AI and data science solutions, including use of machine learning tools for data extraction, curation, and analysis.
- Collaborate with institutional and external partners to standardize data models, ontologies, and metadata practices that enhance research reproducibility and data sharing.
- Collaborate on topics around data quality, knowledge management, information representation and data governance.
- Train and support researchers on research information systems.
QUALIFICATIONS
Bachelor’s degree in informatics, computer science, data science, public health, or a related field.
3–5 years of experience in healthcare or biomedical research informatics.
Proficiency in SQL and relational database design.
Experience working with EMR/clinical databases and research data warehouses.
Experience in data analysis, data mining or analytics.
Experience with data management and integration tools such as REDCap, OMOP, or similar research data environments.
PREFERRED:
Master’s degree in informatics, computer science, data science, public health, or a related field.
Experience with AI/ML tools, data science or cloud-based analytics platforms.
Familiarity with terminology systems and standards (e.g., SNOMED CT, LOINC, ICD).
Experience in biomedical research procedures and IT systems implementation.
Project and customer service management experience.
SKILLS:
- Excellent interpersonal and written communication skills to provide customer service and document user interactions and requirements.
- Strong analytical skills to analyze, categorize and translate business/user requirements to functional requirements.
- Demonstrated ability to take initiatives, establish/enhance business analysis procedures and improve operational efficiency.
- Collaborative mindset and adaptability in a fast-evolving research and technology environment.
- Demonstrated commitment to innovation, continuous learning, and improving research data infrastructure.
ADDITIONAL INFORMATION:
In compliance with NYC's Pay Transparency Act, the annual base salary range for this position is listed below. Albert Einstein College of Medicine considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer.
Minimum Salary Range: USD $124,000.00/Yr.
Maximum Salary Range: USD $130,000.00/Yr.
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Get Access To All JobsTips for Finding Albert Einstein College of Medicine Visa Sponsorship Jobs USA
Target research and faculty roles first
Albert Einstein's sponsorship activity is heavily concentrated in research and academic positions. Prioritize roles like postdoctoral researcher, research associate, and faculty appointments, where international hiring is most common and H-1B sponsorship is well-established.
Understand which visa types they support
Einstein sponsors H-1B, TN, F-1 OPT, F-1 CPT, and Green Card pathways. Knowing which category applies to your background before you apply lets you ask informed questions during interviews and avoid surprises late in the process.
Apply well ahead of H-1B cap deadlines
For cap-subject H-1B roles, Einstein must register you by March. Target fall recruiting cycles and aim to have an offer in hand by January so HR has time to prepare your petition before the lottery window closes.
Highlight your degree field's alignment with your role
H-1B approval at academic medical centers depends heavily on specialty occupation evidence. Make sure your application materials clearly connect your degree field to the specific responsibilities of the role you're applying for at Einstein.
Use OPT and CPT as your entry point
Einstein actively works with F-1 students through OPT and CPT arrangements, making it a viable first employer for international graduates. Starting on OPT builds an internal track record that can support a future H-1B sponsorship request.
Browse verified sponsorship history before applying
Academic medical centers vary widely in how consistently they sponsor across departments. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history and confirm Einstein is actively hiring in your field before you invest time applying.
Frequently Asked Questions
Does Albert Einstein College of Medicine sponsor H-1B visas?
Yes, Albert Einstein College of Medicine sponsors H-1B visas and is one of the more active sponsors in the academic medical sector. Sponsorship is most common for research, postdoctoral, and faculty roles where a specific degree field is required. If you're in a qualifying specialty occupation, Einstein has a strong track record of supporting the H-1B process for international hires.
What visa types does Albert Einstein College of Medicine sponsor?
Einstein sponsors a range of visa types including H-1B, TN visa, F-1 OPT, F-1 CPT, and employment-based Green Cards through the EB-2 and EB-3 categories. The mix of nonimmigrant and immigrant visa support makes it a relatively comprehensive sponsor, particularly valuable for international professionals planning a longer-term career in U.S. academic medicine or biomedical research.
Which departments or roles at Albert Einstein College of Medicine typically receive visa sponsorship?
Sponsorship at Einstein is most concentrated in research-intensive departments, including biomedical sciences, molecular pharmacology, oncology, and neuroscience. Postdoctoral researchers, research scientists, and tenure-track faculty are the most common sponsored roles. Administrative and clinical support positions are less frequently sponsored, so international applicants should focus applications on roles with a clear research or academic component.
How do I find open sponsored positions at Albert Einstein College of Medicine?
The most efficient approach is to filter for verified sponsors in your field rather than sorting through broad job listings. Migrate Mate lets you search specifically for employers with confirmed sponsorship histories, so you can identify open roles at Albert Einstein College of Medicine and similar academic medical institutions without guessing about their sponsorship policies.
How do I time my application to Albert Einstein College of Medicine if I need H-1B sponsorship?
For cap-subject H-1B cases, Einstein must submit your registration by the March lottery deadline. That means you ideally need a signed offer by January or February to give HR and legal counsel enough time to prepare your petition. If you're currently on OPT, starting at Einstein gives you time to build a relationship internally before your employer needs to commit to full H-1B sponsorship.