Research Visa Sponsorship Jobs in Maine
Research visa sponsorship jobs in Maine are concentrated around institutions like the University of Maine, the Jackson Laboratory in Bar Harbor, and the Mount Desert Island Biological Laboratory. Portland and Orono anchor most hiring activity. Roles span biomedical research, marine science, and computational biology, with employers regularly sponsoring H-1B visa and O-1 visas for qualified international candidates.
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MaineHealth Institute for Research
Professional - Nonclinical
Req #: 97087
The Jin Laboratory at the MaineHealth Institute for Research, Scarborough, ME is seeking a Postdoctoral Research Fellow to develop cutting-edge AI models for healthcare and biological discovery.
The Jin lab focuses on building robust, interpretable and uncertainty-aware AI systems that can improve clinical decision-making and uncover biological mechanisms of disease development. Our work sits at the intersection of artificial intelligence, clinical research and biology, with the goal of making real impact to improve patient care. We are privileged to have the lab located at MaineHealth, the largest healthcare system in the state of Maine, enabling significant clinical data access and a unique opportunity of implementing our AI tools in real-world settings for improving patient care. Jin Lab has developed a wide collaboration across multiple institutions including but not limited to Brigham and Women’s hospital, Harvard Pilgrim Health Care Institute, Harvard Medical School, Roux Institute at Northeastern University, Jackson Laboratory and Van Andel Institute.
The Research Fellow will conduct research under the guidance of the Principal Investigator, Dr. Qingchu Jin. The successful candidate will have the opportunity to lead and contribute to projects addressing a range of clinically and biologically motivated research questions. All projects are grounded in either clinical problems or biological discovery. Current research in the lab involves the analysis of large-scale biomedical datasets, including longitudinal electronic health record (EHR) data, unstructured clinical notes, and multi-omics datasets such as DNA methylation and genomics data. The Research Fellow is encouraged to develop their own research ideas in the research directions described in the following text. The Fellow is also encouraged to apply for postdoctoral fellowships and career development grants. The Research Fellow will have access to computational resources, including local GPU clusters, Amazon Web Services (AWS). The Research Fellow will work closely with clinicians, clinical scientists, biologists and computational scientists across MaineHealth and partnered institutions.
Research Directions:
- Real-time AI-driven Patient Risk Prediction for Cardiac Surgery Patient. (with Maine Medical Center, Nihon Kohden Digital Health Solution and Brigham and Women’s hospital) This project aims to develop an AI-driven real-time prediction model to monitor the risk of patient in the ICU after the cardiac surgery. We will have the opportunity to perform multi-center external validation and implement our algorithm at the cardiovascular ICU to examine the clinical benefits and potentially improve patient care!
- Childhood Growth Trajectory Research. This project aims to identify early life multi-omics data to predict the childhood and adolescent growth trajectory. A wide spectrum of omics data at early life stage including genomics, RNAseq, methylation, lipidomics and microbiome will be available for analysis. We expect to identify novel multi-omics signatures that enable the discovery of new patient subgroups and may ultimately inform the development of new therapeutic strategies.
- Personalized Treatment Suggestion for Severe Hyponatremia Patients (with Maine Medical Center). This project aims to develop causal machine learning models to identify and recommend optimal treatment strategies for patients with severe hyponatremia. Maine Medical Center provides a unique opportunity to translate these AI tools into clinical practice, including potential evaluation through prospective clinical studies. The project will also incorporate large language models (LLMs) to extract and integrate information from unstructured clinical notes.
- Uncertainty Quantification for AI models. This methodological project addresses an important unmet need in clinical AI applications. In real-world healthcare settings, multiple factors contribute to uncertainty in predictive models, including missing data, measurement variability, and model uncertainty. This project aims to develop principled approaches, such as Bayesian methods, to rigorously quantify predictive uncertainty in clinical AI models.
Expectations:
- Develop novel, robust and reproducible AI and computational tools in the area described above. And/or develop generalizable AI framework and computational methodology that benefits the fields described above.
- Publish scientific contributions in journals and at conferences.
- Collaborate with clinical and biological partners to understand the needs and develop novel computational tools.
- Mentor junior lab members, providing mentoring in relevant fields.
- Work with PI to develop new emerging research directions and contribute to the grants.
Qualifications
- Doctoral degree in Biomedical Engineering, Data Science, Applied Math, Computational Biology, Computer Sciences, Biostatistics, Medical Informatics.
- Proficiency in Python (optionally in R), Linux, deep learning (Pytorch, Tensorflow), machine learning, High performing cluster, GPU computing.
- Strong expertise in AI and/or biomedical fields.
- Publication records in the relevant fields.
- Applicants with other levels of education (for example master degree) may be considered for lower rank position.
To apply:
Interested candidates please submit the MaineHealth employment application with your cover letter, resume, list of 3 references, and a statement (<=1 page) of your research interests, experience and career goals.
More:
MaineHealth Institute for Research (MHIR) is committed to providing postdoctoral Research Fellows a robust research training experience within an engaged and inclusive community of scientists. We support the continued research training of postdoctoral fellows who have earned a PhD, MD, or MD/PhD degrees. The goal of our program is to provide a rigorous, mentored research experience that focuses on the design, implementation, and completion of novel research projects.
Research Fellows at MHIR are compensated based on years of experience, and are eligible for the generous benefits package provided to MaineHealth employees.
Research Fellows participate in a robust training program that includes a seminar series with networking with local and national speakers, and presentation of their own research progress. Responsible Conduct of Research programming is run throughout the year to ensure that Research Fellows are adequately trained. We expect our postdoctoral fellows to present research findings at annual meetings and publish in peer-reviewed journals. Research Fellows are also encouraged and supported to submit applications for fellowship support or early career grants.
MHIR has an active and engaged Student and Postdoc Association that promotes professional development and a sense of community for students and postdocs. The MHIR Research Training and Education Office supports research trainees in all aspects of their training throughout their time at MHIR, including facilitation of Individual Development Plans, and annual reviews and meetings with MHIR scientific leadership. MHIR is a sustaining member of the National Postdoc Association, providing all of our students and Research Fellows the opportunity to have a free Affiliate Membership, and Research Training and Education Office Staff are members of the Graduate Career Consortium and the American Association of Medical Colleges Group on Research Education and Training (GREAT Group), connecting us with the larger national conversations about student and postdoctoral affairs.
The work location for this position is from our Scarborough, Maine research headquarters.
Required Minimum Knowledge, Skills, and Abilities (KSAs)
- Education: Doctoral Degree (e.g. PhD, MD, DO, DVM, PharmD) required.
- License/Certifications: N/A
Additional Information
MaineHealth is committed to fostering a supportive, inclusive environment where care team members can thrive while making a meaningful impact in the communities we serve across Maine and New Hampshire. We offer competitive benefits including paid parental leave, flexible work options, student loan assistance, professional development opportunities, and well-being resources—so you can grow your career while feeling supported both personally and professionally.
We recognize the value each team member brings to our organization. Any offer of employment will depend on qualifications such as skills, relevant experience, education, certifications, and other job-related factors. The base range is an estimate and does not reflect the full value of our total compensation package.
The pay range for this position is $37,440.00 to $598,000.00 per year.
Compensation for part-time positions is determined on a prorated basis consistent with the scheduled hours and applicable full-time equivalent (FTE).
In addition to base pay, MaineHealth offers comprehensive benefits, recognition programs, career growth opportunities, and, where applicable, shift differentials or other incentives.
If you have questions about this role, please contact sharon.nightingale@mainehealth.org
Hiring Scam Alert
MaineHealth will never request financial information during the interview or pre-hiring process. All legitimate communications will come from an email address ending in @mainehealth.org. If you suspect fraudulent activity, please report it immediately to mhcareers@mainehealth.org.
Notice Regarding Maine Employer Surveillance Statute: Pursuant to Maine's Employer Surveillance Statute, prospective care team members are notified that MaineHealth may monitor, collect, record, review, or retain information related to the use of its systems, networks, applications, files, data, communications platforms (including notified recordings), smart badges, building access, company vehicle GPS data, business calls, and workplace security cameras.
Information collected may be used for legitimate business purposes, including security, safety, compliance, investigations, training, quality assurance, and operational management.
Description
MaineHealth Institute for Research
Professional - Nonclinical
Req #: 97087
The Jin Laboratory at the MaineHealth Institute for Research, Scarborough, ME is seeking a Postdoctoral Research Fellow to develop cutting-edge AI models for healthcare and biological discovery.
The Jin lab focuses on building robust, interpretable and uncertainty-aware AI systems that can improve clinical decision-making and uncover biological mechanisms of disease development. Our work sits at the intersection of artificial intelligence, clinical research and biology, with the goal of making real impact to improve patient care. We are privileged to have the lab located at MaineHealth, the largest healthcare system in the state of Maine, enabling significant clinical data access and a unique opportunity of implementing our AI tools in real-world settings for improving patient care. Jin Lab has developed a wide collaboration across multiple institutions including but not limited to Brigham and Women’s hospital, Harvard Pilgrim Health Care Institute, Harvard Medical School, Roux Institute at Northeastern University, Jackson Laboratory and Van Andel Institute.
The Research Fellow will conduct research under the guidance of the Principal Investigator, Dr. Qingchu Jin. The successful candidate will have the opportunity to lead and contribute to projects addressing a range of clinically and biologically motivated research questions. All projects are grounded in either clinical problems or biological discovery. Current research in the lab involves the analysis of large-scale biomedical datasets, including longitudinal electronic health record (EHR) data, unstructured clinical notes, and multi-omics datasets such as DNA methylation and genomics data. The Research Fellow is encouraged to develop their own research ideas in the research directions described in the following text. The Fellow is also encouraged to apply for postdoctoral fellowships and career development grants. The Research Fellow will have access to computational resources, including local GPU clusters, Amazon Web Services (AWS). The Research Fellow will work closely with clinicians, clinical scientists, biologists and computational scientists across MaineHealth and partnered institutions.
Research Directions:
- Real-time AI-driven Patient Risk Prediction for Cardiac Surgery Patient. (with Maine Medical Center, Nihon Kohden Digital Health Solution and Brigham and Women’s hospital) This project aims to develop an AI-driven real-time prediction model to monitor the risk of patient in the ICU after the cardiac surgery. We will have the opportunity to perform multi-center external validation and implement our algorithm at the cardiovascular ICU to examine the clinical benefits and potentially improve patient care!
- Childhood Growth Trajectory Research. This project aims to identify early life multi-omics data to predict the childhood and adolescent growth trajectory. A wide spectrum of omics data at early life stage including genomics, RNAseq, methylation, lipidomics and microbiome will be available for analysis. We expect to identify novel multi-omics signatures that enable the discovery of new patient subgroups and may ultimately inform the development of new therapeutic strategies.
- Personalized Treatment Suggestion for Severe Hyponatremia Patients (with Maine Medical Center). This project aims to develop causal machine learning models to identify and recommend optimal treatment strategies for patients with severe hyponatremia. Maine Medical Center provides a unique opportunity to translate these AI tools into clinical practice, including potential evaluation through prospective clinical studies. The project will also incorporate large language models (LLMs) to extract and integrate information from unstructured clinical notes.
- Uncertainty Quantification for AI models. This methodological project addresses an important unmet need in clinical AI applications. In real-world healthcare settings, multiple factors contribute to uncertainty in predictive models, including missing data, measurement variability, and model uncertainty. This project aims to develop principled approaches, such as Bayesian methods, to rigorously quantify predictive uncertainty in clinical AI models.
Expectations:
- Develop novel, robust and reproducible AI and computational tools in the area described above. And/or develop generalizable AI framework and computational methodology that benefits the fields described above.
- Publish scientific contributions in journals and at conferences.
- Collaborate with clinical and biological partners to understand the needs and develop novel computational tools.
- Mentor junior lab members, providing mentoring in relevant fields.
- Work with PI to develop new emerging research directions and contribute to the grants.
Qualifications
- Doctoral degree in Biomedical Engineering, Data Science, Applied Math, Computational Biology, Computer Sciences, Biostatistics, Medical Informatics.
- Proficiency in Python (optionally in R), Linux, deep learning (Pytorch, Tensorflow), machine learning, High performing cluster, GPU computing.
- Strong expertise in AI and/or biomedical fields.
- Publication records in the relevant fields.
- Applicants with other levels of education (for example master degree) may be considered for lower rank position.
To apply:
Interested candidates please submit the MaineHealth employment application with your cover letter, resume, list of 3 references, and a statement (<=1 page) of your research interests, experience and career goals.
More:
MaineHealth Institute for Research (MHIR) is committed to providing postdoctoral Research Fellows a robust research training experience within an engaged and inclusive community of scientists. We support the continued research training of postdoctoral fellows who have earned a PhD, MD, or MD/PhD degrees. The goal of our program is to provide a rigorous, mentored research experience that focuses on the design, implementation, and completion of novel research projects.
Research Fellows at MHIR are compensated based on years of experience, and are eligible for the generous benefits package provided to MaineHealth employees.
Research Fellows participate in a robust training program that includes a seminar series with networking with local and national speakers, and presentation of their own research progress. Responsible Conduct of Research programming is run throughout the year to ensure that Research Fellows are adequately trained. We expect our postdoctoral fellows to present research findings at annual meetings and publish in peer-reviewed journals. Research Fellows are also encouraged and supported to submit applications for fellowship support or early career grants.
MHIR has an active and engaged Student and Postdoc Association that promotes professional development and a sense of community for students and postdocs. The MHIR Research Training and Education Office supports research trainees in all aspects of their training throughout their time at MHIR, including facilitation of Individual Development Plans, and annual reviews and meetings with MHIR scientific leadership. MHIR is a sustaining member of the National Postdoc Association, providing all of our students and Research Fellows the opportunity to have a free Affiliate Membership, and Research Training and Education Office Staff are members of the Graduate Career Consortium and the American Association of Medical Colleges Group on Research Education and Training (GREAT Group), connecting us with the larger national conversations about student and postdoctoral affairs.
The work location for this position is from our Scarborough, Maine research headquarters.
Required Minimum Knowledge, Skills, and Abilities (KSAs)
- Education: Doctoral Degree (e.g. PhD, MD, DO, DVM, PharmD) required.
- License/Certifications: N/A
Additional Information
MaineHealth is committed to fostering a supportive, inclusive environment where care team members can thrive while making a meaningful impact in the communities we serve across Maine and New Hampshire. We offer competitive benefits including paid parental leave, flexible work options, student loan assistance, professional development opportunities, and well-being resources—so you can grow your career while feeling supported both personally and professionally.
We recognize the value each team member brings to our organization. Any offer of employment will depend on qualifications such as skills, relevant experience, education, certifications, and other job-related factors. The base range is an estimate and does not reflect the full value of our total compensation package.
The pay range for this position is $37,440.00 to $598,000.00 per year.
Compensation for part-time positions is determined on a prorated basis consistent with the scheduled hours and applicable full-time equivalent (FTE).
In addition to base pay, MaineHealth offers comprehensive benefits, recognition programs, career growth opportunities, and, where applicable, shift differentials or other incentives.
If you have questions about this role, please contact sharon.nightingale@mainehealth.org
Hiring Scam Alert
MaineHealth will never request financial information during the interview or pre-hiring process. All legitimate communications will come from an email address ending in @mainehealth.org. If you suspect fraudulent activity, please report it immediately to mhcareers@mainehealth.org.
Notice Regarding Maine Employer Surveillance Statute: Pursuant to Maine's Employer Surveillance Statute, prospective care team members are notified that MaineHealth may monitor, collect, record, review, or retain information related to the use of its systems, networks, applications, files, data, communications platforms (including notified recordings), smart badges, building access, company vehicle GPS data, business calls, and workplace security cameras.
Information collected may be used for legitimate business purposes, including security, safety, compliance, investigations, training, quality assurance, and operational management.
Research Job Roles in Maine
See all 156+ Research Jobs in Maine
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Search Research Jobs in MaineResearch Jobs in Maine: Frequently Asked Questions
Which companies sponsor visas for researchers in Maine?
The Jackson Laboratory in Bar Harbor is one of Maine's most active sponsors for research roles, particularly in genetics and computational biology. The University of Maine and University of New England also sponsor visas for postdoctoral researchers and research scientists. The Mount Desert Island Biological Laboratory sponsors international researchers in marine and biomedical science. These institutions have established HR processes for H-1B and O-1 petitions.
Which visa types are most common for research roles in Maine?
The H-1B is the most common visa for research positions in Maine, particularly for roles requiring a specialized degree in biology, chemistry, computer science, or related fields. The O-1A is an option for researchers with a strong publication record or awards demonstrating extraordinary ability. Many postdoctoral researchers initially enter on J-1 visa exchange visitor visas through their host institution before transitioning to H-1B status.
Which cities in Maine have the most research sponsorship jobs?
Bar Harbor hosts a notable concentration of research sponsorship activity due to the Jackson Laboratory and MDI Biological Laboratory. Orono, home to the University of Maine's main campus, is the primary hub for academic and government-funded research roles. Portland has a growing presence in health sciences research tied to Maine Medical Center Research Institute. These three locations account for the majority of sponsored research positions in the state.
How to find research visa sponsorship jobs in Maine?
Migrate Mate is a job board built specifically for international candidates seeking visa sponsorship, and it filters listings by state and role type, making it straightforward to browse research positions in Maine. Because many Maine research employers, including Jackson Laboratory and the University of Maine, actively sponsor international talent, searching Migrate Mate for Maine research roles surfaces employers with a documented history of sponsorship rather than requiring you to assess each listing manually.
Are there state-specific considerations for research visa sponsorship in Maine?
Maine's research sector is heavily tied to academic institutions and nonprofit laboratories, which are cap-exempt employers for H-1B purposes. This means they can file H-1B petitions year-round without waiting for the annual lottery, which is a meaningful practical advantage for researchers. Positions at these organizations often involve grant-funded roles, so offer letters and visa petitions may be tied to specific funding cycles, making it important to confirm funding status before starting the sponsorship process.
What is the prevailing wage for sponsored research jobs in Maine?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.