Scientist Visa Sponsorship Jobs in Maryland
Scientist visa sponsorship jobs in Maryland are concentrated around federal research agencies, major academic medical centers, and biotech firms in the Baltimore-Washington corridor. Employers like the National Institutes of Health, Johns Hopkins University, and AstraZeneca regularly hire international scientists. The NIH campus in Bethesda alone makes Maryland one of the most active states for sponsored research positions.
Find Scientist JobsOverview
Showing 5 of 88+ Scientist Jobs in Maryland with Visa Sponsorship
See all 88+ Scientist Jobs in Maryland with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Scientist Jobs in Maryland with Visa Sponsorship.
Get Access To All JobsINTRODUCTION
Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).
Benefits We Offer:
- 100% Medical, Dental & Vision Coverage for Employees
- Paid Time Off and Paid Holidays
- 401K match up to 5%
- Educational Benefits for Career Growth
- Employee Referral Bonus
- Flexible Spending Accounts:
- Healthcare (FSA)
- Parking Reimbursement Account (PRK)
- Dependent Care Assistant Program (DCAP)
- Transportation Reimbursement Account (TRN)
POSITION OVERVIEW
The Data Scientist Fellow will develop computational models to predict and optimize organoid growth and differentiation protocols in support of the SOM Center. The incumbent will apply advanced machine learning techniques to organoid standardization and contribute to the development of predictive models for tissue engineering applications.
KEY RESPONSIBILITIES
- Model development. Design and implement machine learning models that predict organoid development outcomes based on protocol parameters, environmental conditions, and molecular characterization data.
- In silico simulation. Develop in silico models that correspond to organoid growth, maturation, and characterize phenotype while identifying optimal conditions for reproducible organoid generation.
- Feedback systems. Establish feedback loops between experimental validation and computational prediction in order to iteratively refine and understand protocol standardization.
- Interdisciplinary collaboration. Work with experimental teams to design characterization and validation experiments and with bioinformatics scientists to integrate multi-modal datasets.
REQUIRED QUALIFICATIONS
- Education. Doctoral degree (PhD) in computer science, engineering, applied mathematics, or a related field, with demonstrated experience in AI/ML model development.
- Programming. Strong programming proficiency in Python, R, or comparable languages, together with experience using machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Applied experience. Prior experience applying computational methods in biological laboratory settings, including working knowledge of experimental design principles and biological data types.
PREFERRED QUALIFICATIONS
- Experience with organoid systems or tissue engineering applications.
- Knowledge of differential equations and systems biology modeling, and experience with deep learning approaches for biological applications.
- Familiarity with cloud computing platforms and containerization technologies.
DISCLAIMER:
The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed. The diversity of Axle’s employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.
Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com
This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location.
Salary Range: $90,000 USD - $100,000 USD
INTRODUCTION
Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).
Benefits We Offer:
- 100% Medical, Dental & Vision Coverage for Employees
- Paid Time Off and Paid Holidays
- 401K match up to 5%
- Educational Benefits for Career Growth
- Employee Referral Bonus
- Flexible Spending Accounts:
- Healthcare (FSA)
- Parking Reimbursement Account (PRK)
- Dependent Care Assistant Program (DCAP)
- Transportation Reimbursement Account (TRN)
POSITION OVERVIEW
The Data Scientist Fellow will develop computational models to predict and optimize organoid growth and differentiation protocols in support of the SOM Center. The incumbent will apply advanced machine learning techniques to organoid standardization and contribute to the development of predictive models for tissue engineering applications.
KEY RESPONSIBILITIES
- Model development. Design and implement machine learning models that predict organoid development outcomes based on protocol parameters, environmental conditions, and molecular characterization data.
- In silico simulation. Develop in silico models that correspond to organoid growth, maturation, and characterize phenotype while identifying optimal conditions for reproducible organoid generation.
- Feedback systems. Establish feedback loops between experimental validation and computational prediction in order to iteratively refine and understand protocol standardization.
- Interdisciplinary collaboration. Work with experimental teams to design characterization and validation experiments and with bioinformatics scientists to integrate multi-modal datasets.
REQUIRED QUALIFICATIONS
- Education. Doctoral degree (PhD) in computer science, engineering, applied mathematics, or a related field, with demonstrated experience in AI/ML model development.
- Programming. Strong programming proficiency in Python, R, or comparable languages, together with experience using machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Applied experience. Prior experience applying computational methods in biological laboratory settings, including working knowledge of experimental design principles and biological data types.
PREFERRED QUALIFICATIONS
- Experience with organoid systems or tissue engineering applications.
- Knowledge of differential equations and systems biology modeling, and experience with deep learning approaches for biological applications.
- Familiarity with cloud computing platforms and containerization technologies.
DISCLAIMER:
The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed. The diversity of Axle’s employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.
Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com
This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location.
Salary Range: $90,000 USD - $100,000 USD
Scientist Job Roles in Maryland
See all 88+ Scientist Jobs in Maryland
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Scientist Jobs in MarylandScientist Jobs in Maryland: Frequently Asked Questions
Which companies and institutions sponsor visas for scientists in Maryland?
The National Institutes of Health, Johns Hopkins University, and the University of Maryland are among the most active sponsors for scientist roles in Maryland. Biotech and pharmaceutical companies including AstraZeneca, Novavax, and Emergent BioSolutions also have a significant presence in the state. Federal contractors operating around the Baltimore-Washington corridor regularly file sponsorship petitions for research scientists as well.
Which visa types are most common for scientist roles in Maryland?
The H-1B visa is the most common visa for scientist roles in Maryland, particularly for positions requiring a specialized degree in biology, chemistry, physics, or a related field. J-1 visa research scholar status is also widely used at institutions like NIH and Johns Hopkins for postdoctoral researchers. Scientists with extraordinary ability may qualify for the O-1A, and those pursuing permanent residence often pursue EB-1 or EB-2 NIW pathways given the research nature of the work.
Which cities in Maryland have the most scientist visa sponsorship jobs?
Bethesda and Rockville account for a large share of Maryland's scientist sponsorship activity, driven by the NIH campus and a dense cluster of life sciences companies in the I-270 corridor. Baltimore is the next largest hub, anchored by Johns Hopkins University, the University of Maryland Medical System, and the growing biotech district around the Inner Harbor. Gaithersburg also hosts several established pharmaceutical and biodefense firms.
How to find scientist visa sponsorship jobs in Maryland?
Migrate Mate is built specifically for international job seekers and filters scientist roles in Maryland by visa sponsorship status, so you're not sifting through postings that won't consider work authorization. The platform covers positions across research institutions, federal contractors, and biotech employers throughout the state. Searching by role and location on Migrate Mate gives you a direct view of which Maryland employers are actively open to sponsoring scientists.
Are there state-specific considerations for scientists pursuing visa sponsorship in Maryland?
Maryland's concentration of federally funded research institutions means many scientist roles are tied to grant funding cycles, which can affect the timing and duration of sponsorship offers. Positions at NIH and similar federal agencies often use J-1 status rather than H-1B because of institutional preference and cap exemptions available to nonprofit research organizations. Scientists coming through university pipelines at Johns Hopkins or the University of Maryland frequently transition from F-1 OPT into sponsored positions with the same institution.
What is the prevailing wage for sponsored scientist jobs in Maryland?
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.