Data Science Engineer Visa Sponsorship Jobs in Maryland
Data science engineer visa sponsorship jobs in Maryland are concentrated around the Baltimore-Washington corridor, with major employers including Northrop Grumman, Leidos, SAIC, and Johns Hopkins University. The region's dense federal contracting sector, strong life sciences industry, and proximity to NSA and NIH headquarters make Maryland one of the more active states for data science engineering roles.
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INTRODUCTION
Whiting School of Engineering’s Computer Science Department is seeking a Software Engineer to assist the Phillippy lab in the development of bioinformatics methods for the analysis of long-read DNA sequencing data and personalized genomes. Assigned projects may include methods development for DNA sequencing, comparative genomics, genome assembly, and genome interpretation. The candidate will work closely with other members of the team, including students, postdocs, and senior staff, to advance the lab’s research mission.
ROLE AND RESPONSIBILITIES
Responsible for the creation, implementation, maintenance, performance, production support and documentation of various departmental and enterprise-wide application systems. This includes but is not limited to the installation, modification, and testing of new and/or upgraded applications (packages or homegrown), operating systems, file structures, hardware, communication devices, and productivity tools. Applies analysis techniques and procedures to gather and then translate business requirements into functional/technical specifications and designs. Using functional specifications and designs, produces all or part of the deliverables. Maintains databases and application system code.
Responsible for full life cycle of medium to large sized complex projects; strong technical skills; strong ability to understand complex business processes. Develops solutions based on extensive technical knowledge, skills and experience; influences client towards innovative/integrated solutions.
Specific Duties & Responsibilities
The responsibilities listed below are typical examples of the work performed by this position. Not all duties assigned to this position are included, nor is it expected that everyone in this position will be assigned every job responsibility.
Analysis & Requirements Gathering
- Define complex business/clinical/education problems by meeting with clients to observe and understand current processes and the issues related to those processes.
- Provide written documentation of findings to share with the client and other IT colleagues.
- Gather complex system requirements by meeting with clients and researching existing technology to understand the business requirements and possible solutions for new applications.
Design & Development
- Develop detailed tasks and project plans by analyzing project scope and milestones for complex projects to ensure product is delivered quickly according to software lifecycle standards.
- Write functional/technical specifications from the complex system requirements, putting them into functional and technical descriptions for use by programmers and business analysts to develop technical solutions.
- Develop/change data input, files/database structures, data transformation, algorithms, and data output by using appropriate computer language/tools to provide technical solutions for complex application development tasks.
- Document code and associated processes by adhering to development methodologies, adding code comments and appropriate documentation to various knowledge-base system(s) to simplify code maintenance and to improve support.
- Provide monitoring and guidance in application design and development to more junior staff.
- Provide thought leadership in designing and developing innovative integrated solutions.
Testing & Documentation
- Create and document complex test scenarios using the appropriate testing tools to validate and verify application functionality.
- Test all changes by using the appropriate complex test scenarios to ensure all delivered solutions work as expected and errors are handled in a meaningful way.
- Author and maintain documentation by writing audience-appropriate materials to serve as technical and/or end-user references.
- Mentor junior staff in testing tools and technologies by reviewing their work.
Implementation & Maintenance
- Implement changes by adhering to the change management policies and procedures for any given project to communicate to all parties the nature, significance, and risk factors of the solution.
- Monitor changes and resolve complex problems by responding as they occur, by reviewing all processing and output of the newly implemented solution, and by proactively ensuring the solution works successfully to satisfy the customer requirements and to provide a smooth transition to the new solution.
- Provide support by investigating and resolving issues, including complex issues to ensure prompt, effective service.
In addition to the duties described above:
- Develop robust computational methods to advance comparative and personalized genomics.
- Analyze data to contribute to biological discovery about previously inaccessible regions of the genome.
- Maintain software engineering best practices and disseminate results and software.
- Read scientific literature for background and to stay up to date in the field.
- Meet frequently with supervisor to report on progress.
- Present at internal lab meetings as well as to collaborators, and engage in all other lab activities.
- Author scientific publications reporting on results and methods.
- Support teaching activities as requested.
MINIMUM QUALIFICATIONS
- Bachelor's Degree (or foreign equivalent) in Computer Science, Computer Information Systems, Information Technology, Electronic Engineering, or a related field.
- Five years of related work experience with computer systems and applications.
- Additional education may substitute for required experience, to the extent permitted by the JHU equivalency formula.
PREFERRED QUALIFICATIONS
- Knowledge in the assigned application as well as the platform on which it runs. [JD4.1].
- Bachelor’s Degree in Computer Science or related field, with a breadth of coursework covering the sciences and math; advanced computing topics such as algorithms, graph theory, machine learning, and ethics; and specialized topics in computational biology.
- Strong practical computational skills, particularly in Python, R, and shell scripting (as well as C, Java, JS, Go, React, SQL).
- Experience in a research computing environment, including with version control, pipeline development, and high-performance computing systems.
- Two plus years of experience working with genomic data, including knowledge and use of common file formats: sam/bam, fastq, vcf, paf, bed; software: samtools, bedtools, deepvariant, modkit, minimap; pipelines / skills: alignment, variant calling, methylation data analysis.
- Effective written and verbal communication skills and the ability to read and interpret scientific literature.
- Interest in developing and/or applying computational methods for genome assembly, sequence alignment, variant detection, variant annotation, and information visualization.
Technical Skills: Expected Skills & Proficiency Level
- Agile Methodology - Intermediate
- Algorithms - Intermediate
- Application Programming Interface (API) - Intermediate
- CI/CD - Intermediate
- Cloud Serverless Computing Architecture - Intermediate
- Code Review - Intermediate
- Data Architecture and Design - Intermediate
- Data Structures - Intermediate
- Debugging - Intermediate
- Dev Ops - Intermediate
- JIRA - Intermediate
- New Product Development - Intermediate
- Secure Coding - Intermediate
- Service Orientated Architecture - Intermediate
- Software Design Patterns - Intermediate
- Software Development Life Cycle - Intermediate
- Software Engineering - Intermediate
- Unit Testing - Intermediate
The core technical skills listed are most essential; additional technical skills may be required based on specific division or department needs.
LOCATION
Location: Hybrid/Homewood Campus
COMPENSATION
Starting Salary Range: $73,300 - $128,300 Annually (Commensurate w/exp.)
EMPLOYEE GROUP
Employee group: Full Time
SCHEDULE
Schedule: M-F, 37.5 hrs weekly
FLSA STATUS
FLSA Status: Exempt
DEPARTMENT NAME
Department name: Department of Computer Science
PERSONNEL AREA
Personnel area: Whiting School of Engineering
TOTAL REWARDS
The referenced base salary range represents the low and high end of Johns Hopkins University’s salary range for this position. Not all candidates will be eligible for the upper end of the salary range. Exact salary will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, market conditions, education/training and other qualifications. Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement.
EDUCATION AND EXPERIENCE EQUIVALENCY
Please refer to the job description above to see which forms of equivalency are permitted for this position. If permitted, equivalencies will follow these guidelines: JHU Equivalency Formula: 30 undergraduate degree credits (semester hours) or 18 graduate degree credits may substitute for one year of experience. Additional related experience may substitute for required education on the same basis. For jobs where equivalency is permitted, up to two years of non-related college course work may be applied towards the total minimum education/experience required for the respective job.
APPLICANTS COMPLETING STUDIES
Applicants who do not meet the posted requirements but are completing their final academic semester/quarter will be considered eligible for employment and may be asked to provide additional information confirming their academic completion date.
BACKGROUND CHECKS
The successful candidate(s) for this position will be subject to a pre-employment background check. Johns Hopkins is committed to hiring individuals with a justice-involved background, consistent with applicable policies and current practice. A prior criminal history does not automatically preclude candidates from employment at Johns Hopkins University. In accordance with applicable law, the university will review, on an individual basis, the date of a candidate's conviction, the nature of the conviction and how the conviction relates to an essential job-related qualification or function.
DIVERSITY AND INCLUSION
The Johns Hopkins University values diversity, equity and inclusion and advances these through our key strategic framework, the JHU Roadmap on Diversity and Inclusion.
EQUAL OPPORTUNITY EMPLOYER
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
EEO is the Law
https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf
ACCOMMODATION INFORMATION
If you are interested in applying for employment with The Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the Talent Acquisition Office at jhurecruitment@jhu.edu. For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations or accessibility at Johns Hopkins University, please visit: https://accessibility.jhu.edu/.
VACCINE REQUIREMENTS
Johns Hopkins University requires all faculty, staff, and students to receive the seasonal flu vaccine. Exceptions to the flu vaccine requirements may be provided to individuals for religious beliefs or medical reasons. Requests for an exception must be submitted to the JHU vaccination registry.
The following additional provisions may apply, depending upon campus. Your recruiter will advise accordingly. The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those employees who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.
Data Science Engineer Job Roles in Maryland
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Search Data Science Engineer Jobs in MarylandData Science Engineer Jobs in Maryland: Frequently Asked Questions
Which companies sponsor visas for data science engineers in Maryland?
Federal contractors and technology firms lead visa sponsorship for data science engineers in Maryland. Companies like Northrop Grumman, Leidos, Booz Allen Hamilton, SAIC, and Maximus regularly file H-1B visa petitions for data-focused engineering roles. Johns Hopkins University and University of Maryland also sponsor data science engineers, particularly for research-adjacent positions. Life sciences firms in the Montgomery County biotech corridor are an additional source of sponsorship activity.
Which visa types are most common for data science engineer roles in Maryland?
The H-1B is the most common visa for data science engineers in Maryland, given that the role typically requires a bachelor's degree or higher in computer science, statistics, or a related field, satisfying the specialty occupation requirement. Researchers at universities like Johns Hopkins may also encounter J-1 visa or O-1 visas. Candidates from Australia may be eligible for the E-3 visa, and Canadian or Mexican nationals may qualify under the TN visa category.
Which cities in Maryland have the most data science engineer sponsorship jobs?
The Baltimore metropolitan area and the Maryland suburbs of Washington, D.C., are the primary hiring centers for data science engineers in the state. Rockville, Bethesda, and Silver Spring in Montgomery County host a high concentration of biotech, health IT, and federal agency contractors. Columbia and Annapolis Junction are also notable, partly due to proximity to NSA and defense intelligence facilities that require data engineering expertise.
How to find data science engineer visa sponsorship jobs in Maryland?
Migrate Mate is built specifically for international candidates seeking visa sponsorship, making it a practical starting point for data science engineer roles in Maryland. You can filter by role and state to see positions where employers have a documented history of sponsoring work visas. Given the volume of federal contracting activity in Maryland, filtering by industry or employer type on Migrate Mate can help you focus on the segments most active in sponsorship.
Are there state-specific considerations for data science engineers seeking sponsorship in Maryland?
Maryland's federal contracting sector introduces a factor that matters for visa holders: many defense and intelligence-adjacent roles require security clearances, which are generally not available to non-U.S. persons. This narrows the pool of sponsoring positions for international candidates. However, civilian roles at universities, healthcare systems, and commercial tech firms in the state are not subject to this restriction, and those segments represent meaningful sponsorship activity for data science engineers.
What is the prevailing wage for sponsored data science engineer 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.