Green Card Postdoctoral Research Fellow Jobs
Postdoctoral research fellows can qualify for EB-2 or EB-3 green card sponsorship through the PERM labor certification process, with many universities and research institutions filing I-140 petitions on behalf of foreign nationals. Your advanced degree and specialized research credentials are central to building a strong sponsorship case.
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Get Access To All JobsJob Ref:
JR-6518
Location:
450 Brookline Ave, BOSTON, MA 02215
Category:
Fellowships
Employment Type:
Full time
Work Location:
Onsite: 100% onsite
Salary/Pay Rate:
$72,000.00 - $76,385.00 per year
Overview
The Dana-Farber Cancer Institute seeks a Postdoctoral Computational Biologist in the Gillani Lab in Computational Pediatric Cancer Research. The Postdoctoral Computational Biologist will work on the analysis of genomic, transcriptomic, and epigenomic datasets with the goal of arriving at new insights around targetable biology and clinical biomarkers to advance the care of pediatric cancer patients.
The mission of the Gillani Lab is to advance pediatric, adolescent, and young adult cancer care using cutting-edge computational biology approaches. We strive to understand the germline genetics and tumor genomics of pediatric cancer to inform novel approaches to treatment. We value great science that matters to patients, caring about each other as people and colleagues, and fostering an environment of mutual respect and collaboration.
The qualified candidate will design and lead projects grounded in data analysis in the domain of computational pediatric cancer research. They will develop and support data processing and analysis tools, create new algorithms for focused research questions in bulk and single cell tumor analysis, integrate tools and databases into existing high-throughput pipelines, and drive projects to completion and publication. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS, and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.
PRIMARY DUTIES AND RESPONSIBILITIES:
Related projects and responsibilities will include, but are not limited to:
- Whole-genome sequencing and single-cell sequencing analysis of tumor samples
- Studies of resistance to existing and emerging cancer therapies using patient-derived data
- Studies of patient samples for tumor behavior and clinical outcomes
- Development and implementation of artificial intelligence and machine learning algorithms for biologically and clinically motivated questions in pediatric oncology
Projects are collaborative efforts between the Dana-Farber Cancer Institute, the Broad Institute, Boston Children’s Hospital, the Harvard Medical School, and multiple other institutions. Projects have the potential to identify novel approaches for personalized care in oncology. In addition, this data may provide support for new methods in clinical decision-making, biomarkers for rational drug development, and new insights into tumor biology through innovative analyses. The Postdoctoral Computational Biologist hired for this position will join a collaborative team in this effort and will participate in the design and implementation of algorithms to analyze the data and integrate with other data sets including clinical outcomes data.
This Postdoctoral Computational Biologist will also help with the generation of tools needed for manipulating and preparing data for display; transferring data to external collaborators and data repositories; and will also help maintain, support, and document shared tools, code, and data sets. As the field of clinical computational oncology evolves, this position is likely to present diverse and flexible opportunities - from deeper and more complex software design problems, to becoming more involved in the bioinformatic and analytic aspects of predictive modeling. As such, the Postdoctoral Computational Biologist should have a willingness to learn new languages and tools as the field grows, as well as have an interest in cancer biology/medicine more broadly.
MINIMUM JOB QUALIFICATIONS:
- A Ph.D. in genetics, computational biology, statistics, computer science, biomedical engineering, mathematics, or other related disciplines/comparable research experience. Candidates with an M.D. who have commensurate research experience are also encouraged to apply.
- Significant research experience in computational biology and its common applications (experience in R and/or Python, as well as cloud computing)
- A strong background in statistics and biology
- Experience managing and curating large datasets
- Excellent oral and written communication skills and the ability to perform both self-directed and guided research
- Outstanding personal initiative and the ability to work effectively as part of a team
- Ability to meet deadlines and efficiently multitask
- Ability to effectively collaborate across a range of individuals from various disciplines, ranging from computer science to clinical medicine
- Ability to seek out mentorship and assistance as needed, while also being a mentor to other members of the research team
SUPERVISORY RESPONSIBILITIES:
This position will involve co-mentoring of students joining the group as described above, with opportunities for growth in developing multi-disciplinary teams that are project oriented.
PATIENT CONTACT:
NA
SPECIAL WORKING CONDITIONS:
The Postdoctoral Researcher is requested to be in the office to facilitate integration with the collaborative team, learning, and meaningful progress on research projects.
At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply.
Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law.
EEO Poster
Pay Transparency Statement
The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate’s relevant experience, skills and qualifications.
For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA).
$72,000.00 - $76,385.00
Job Ref:
JR-6518
Location:
450 Brookline Ave, BOSTON, MA 02215
Category:
Fellowships
Employment Type:
Full time
Work Location:
Onsite: 100% onsite
Salary/Pay Rate:
$72,000.00 - $76,385.00 per year
Overview
The Dana-Farber Cancer Institute seeks a Postdoctoral Computational Biologist in the Gillani Lab in Computational Pediatric Cancer Research. The Postdoctoral Computational Biologist will work on the analysis of genomic, transcriptomic, and epigenomic datasets with the goal of arriving at new insights around targetable biology and clinical biomarkers to advance the care of pediatric cancer patients.
The mission of the Gillani Lab is to advance pediatric, adolescent, and young adult cancer care using cutting-edge computational biology approaches. We strive to understand the germline genetics and tumor genomics of pediatric cancer to inform novel approaches to treatment. We value great science that matters to patients, caring about each other as people and colleagues, and fostering an environment of mutual respect and collaboration.
The qualified candidate will design and lead projects grounded in data analysis in the domain of computational pediatric cancer research. They will develop and support data processing and analysis tools, create new algorithms for focused research questions in bulk and single cell tumor analysis, integrate tools and databases into existing high-throughput pipelines, and drive projects to completion and publication. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS, and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.
PRIMARY DUTIES AND RESPONSIBILITIES:
Related projects and responsibilities will include, but are not limited to:
- Whole-genome sequencing and single-cell sequencing analysis of tumor samples
- Studies of resistance to existing and emerging cancer therapies using patient-derived data
- Studies of patient samples for tumor behavior and clinical outcomes
- Development and implementation of artificial intelligence and machine learning algorithms for biologically and clinically motivated questions in pediatric oncology
Projects are collaborative efforts between the Dana-Farber Cancer Institute, the Broad Institute, Boston Children’s Hospital, the Harvard Medical School, and multiple other institutions. Projects have the potential to identify novel approaches for personalized care in oncology. In addition, this data may provide support for new methods in clinical decision-making, biomarkers for rational drug development, and new insights into tumor biology through innovative analyses. The Postdoctoral Computational Biologist hired for this position will join a collaborative team in this effort and will participate in the design and implementation of algorithms to analyze the data and integrate with other data sets including clinical outcomes data.
This Postdoctoral Computational Biologist will also help with the generation of tools needed for manipulating and preparing data for display; transferring data to external collaborators and data repositories; and will also help maintain, support, and document shared tools, code, and data sets. As the field of clinical computational oncology evolves, this position is likely to present diverse and flexible opportunities - from deeper and more complex software design problems, to becoming more involved in the bioinformatic and analytic aspects of predictive modeling. As such, the Postdoctoral Computational Biologist should have a willingness to learn new languages and tools as the field grows, as well as have an interest in cancer biology/medicine more broadly.
MINIMUM JOB QUALIFICATIONS:
- A Ph.D. in genetics, computational biology, statistics, computer science, biomedical engineering, mathematics, or other related disciplines/comparable research experience. Candidates with an M.D. who have commensurate research experience are also encouraged to apply.
- Significant research experience in computational biology and its common applications (experience in R and/or Python, as well as cloud computing)
- A strong background in statistics and biology
- Experience managing and curating large datasets
- Excellent oral and written communication skills and the ability to perform both self-directed and guided research
- Outstanding personal initiative and the ability to work effectively as part of a team
- Ability to meet deadlines and efficiently multitask
- Ability to effectively collaborate across a range of individuals from various disciplines, ranging from computer science to clinical medicine
- Ability to seek out mentorship and assistance as needed, while also being a mentor to other members of the research team
SUPERVISORY RESPONSIBILITIES:
This position will involve co-mentoring of students joining the group as described above, with opportunities for growth in developing multi-disciplinary teams that are project oriented.
PATIENT CONTACT:
NA
SPECIAL WORKING CONDITIONS:
The Postdoctoral Researcher is requested to be in the office to facilitate integration with the collaborative team, learning, and meaningful progress on research projects.
At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply.
Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law.
EEO Poster
Pay Transparency Statement
The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate’s relevant experience, skills and qualifications.
For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA).
$72,000.00 - $76,385.00
See all 85+ Green Card Postdoctoral Research Fellow Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card Postdoctoral Research Fellow Jobs.
Get Access To All JobsTips for Finding Green Card Sponsorship in Postdoctoral Research Fellow
Document your research contributions before applying
Compile published papers, citations, grants, and conference presentations into a single credential file before you start applying. PERM filings for postdoctoral roles require detailed documentation of duties and qualifications, and having this ready accelerates your employer's labor certification submission.
Target research institutions with established PERM history
Universities and federal research labs that regularly sponsor international postdocs have dedicated HR and immigration teams who understand the PERM timeline. Applying to institutions without that infrastructure often means starting from scratch, which can delay your I-140 filing by months.
Clarify sponsorship intent before accepting an offer
Ask directly during the offer stage whether the institution sponsors EB-2 or EB-3 petitions, not just H-1B visa. Some employers sponsor postdocs for temporary visas only and expect you to self-petition later, which changes your planning entirely.
Understand how your degree level shapes your EB category
A Ph.D. typically supports an EB-2 filing, while a master's degree without substantial specialized experience usually falls under EB-3. Your category affects priority date wait times, particularly if your country of birth is subject to per-country backlogs.
Use Migrate Mate to find postdoc employers with green card filing history
Search Migrate Mate to filter postdoctoral research fellow roles by employers with documented EB-2 and EB-3 sponsorship activity. This narrows your list to institutions that have already committed to the PERM process rather than those who may agree in principle.
Verify the prevailing wage tier before your employer files
DOL requires your offered salary to meet the prevailing wage for your occupation and work location. Run the OFLC Wage Search before your employer submits the PERM application to confirm the offered compensation clears the required wage level and avoids a DOL audit.
Green Card Postdoctoral Research Fellow: Frequently Asked Questions
Does my postdoctoral role qualify for EB-2 or EB-3 green card sponsorship?
Most postdoctoral research fellow positions qualify for EB-2 sponsorship because the role requires an advanced degree, typically a Ph.D. in a relevant scientific or technical field. If your background is a master's degree with significant specialized research experience, your employer may alternatively pursue an EB-3 professional filing. Your supervising institution's immigration team will evaluate which category fits your credentials and the specific duties of the position.
How does green card sponsorship differ from H-1B for postdoctoral researchers?
H-1B sponsorship is temporary and subject to annual lottery caps, while EB-2 and EB-3 green card sponsorship through PERM leads to permanent residency with no annual cap at the petition level. The PERM process is longer, often taking one to three years from labor certification to I-485 approval, but it doesn't require you to win a lottery or re-file every few years. Many postdocs pursue both in parallel, using H-1B status while the green card case progresses.
What does the PERM labor certification process involve for postdoc employers?
PERM requires your employer to demonstrate to DOL that no qualified U.S. worker is available for the position by completing a regulated recruitment process, including job postings and advertisements. The employer then submits an ETA Form 9089 to DOL for certification. Once certified, they file the I-140 immigrant petition with USCIS on your behalf. The entire process is employer-driven, but you should confirm your institution has legal counsel experienced with research-sector PERM filings.
How can I find postdoctoral research fellow positions where employers actively sponsor green cards?
Migrate Mate lets you search postdoctoral roles filtered by employers with confirmed EB-2 and EB-3 sponsorship activity, which cuts through the guesswork of cold-applying to institutions that may not sponsor. Many universities list postdoc openings without specifying immigration support, so filtering by sponsorship history upfront saves significant time and avoids late-stage offer complications.
Does my country of birth affect my green card timeline as a postdoctoral researcher?
Yes. If you were born in a country with high demand for employment-based green cards, such as India or China, your priority date may be subject to a backlog that adds years to your wait even after I-140 approval. Nationals from most other countries face no significant wait at the EB-2 or EB-3 level. The Visa Bulletin published monthly by the State Department tracks current priority dates, and your employer's immigration attorney can project your estimated timeline based on your specific situation.