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
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 Postdoctoral Fellow will help establish the laboratory’s core capacity for protein-focused biological support, connecting organoid phenotype and optical measurements to molecular mechanisms. The Fellow will implement two complementary platforms: Amplicon/Protein Bead Display (APB-Display) for rapid production, screening, and quantitative characterization of protein or nanobody libraries; and SMA/SMALP or related membrane-active-polymer workflows for detergent-free extraction of membrane proteins and associated lipids into native nanodiscs. The position serves as the principal biochemical resource for the two existing optical-methods postdocs and works closely with the chemical-spectroscopy postdoc on toxicant-induced changes in proteins, membranes, and lipid environments. The appointment is intended to prepare the Fellow for an independent research career in academia, government, or industry.
Key Responsibilities
- Biochemical support. Establish routine molecular-biology, protein-expression, purification, conjugation, and biochemical-assay support for organoid projects, including recombinant protein and nanobody production in bacterial, yeast, cell-free, or mammalian systems as appropriate.
- APB-Display implementation. Implement APB-Display using dual-functional hydrogel beads, pooled DNA libraries, particle-templated emulsification, emulsion PCR, emulsion in-vitro transcription/translation, SNAP-mediated protein capture, fluorescence-based expression and binding measurements, FACS sorting, and sequencing-based readout.
- Library design. Develop focused nanobody and affinity-reagent libraries informed by in-silico design, biological targets, chemical-toxicity hypotheses, and needs identified by the imaging and spectroscopy researchers.
- Quantitative screening. Implement APB-SortSeq for rapid single-concentration screening and APB-TiteSeq for quantitative concentration-series measurements of expression and binding affinity; establish controls for genotype-phenotype linkage, nonspecific binding, ligand depletion, bead occupancy, and sequencing representation.
- Orthogonal validation. Validate selected binders and interaction measurements with orthogonal methods such as fluorescence polarization, ELISA, pull-down/immunoprecipitation, biolayer interferometry, surface plasmon resonance, size-exclusion chromatography, or other accessible assays.
- Membrane-polymer workflows. Establish SMA/SMALP and related membrane-active-polymer screening in relevant cell lines, organoid-derived cells, tissue preparations, and organoid models. Use fluorescence-based bulk-solubilization assays, polymer and buffer optimization, and target-protein-specific recovery measurements to select conditions that preserve native protein-lipid assemblies.
- Nanodisc quality control. Apply quality-control methods for native nanodiscs, including fluorescence measurements, dynamic light scattering, size-exclusion chromatography, negative-stain electron microscopy through a core facility, gel-based analysis, and mass-spectrometry-compatible preparation.
- Membrane-complex enrichment. Coordinate targeted extraction and affinity enrichment of membrane proteins and complexes from plasma membrane, mitochondria, endoplasmic reticulum, Golgi, lysosomal, or other organellar membranes; preserve samples for proteomic, lipidomic, functional, structural, and electron-tomography follow-up.
- Nanobody-enabled workflows. Develop nanobody-enabled labeling, concentration, purification, and perturbation workflows for organoid imaging, membrane-complex analysis, and potential countermeasure applications.
- Documentation and cross-training. Create version-controlled SOPs, reagent inventories, assay acceptance criteria, sample metadata, and training modules; cross-train other team members in routine biochemical procedures and troubleshoot biologically driven variation in imaging or spectroscopy studies.
Required Qualifications
- Education. Doctoral degree (PhD) in biochemistry, molecular biology, chemical biology, protein chemistry, biophysics, bioengineering, cell biology, or a closely related field.
- Laboratory experience. Demonstrated hands-on experience in recombinant protein expression and purification, molecular cloning, quantitative binding assays, or protein-interaction analysis.
- Scientific foundation. Strong understanding of protein structure-function relationships, membrane biology, assay controls, and quantitative experimental design.
- Collaboration. Ability to work with mammalian cells or complex biological samples and to collaborate with imaging, spectroscopy, toxicology, computational, and core-facility teams.
- Documentation and analysis. Ability to document methods rigorously, analyze data using Python, R, MATLAB, or comparable tools, and communicate results through reports, presentations, and manuscripts.
Preferred Qualifications
- Experience with nanobodies, antibody engineering, display technologies, pooled libraries, FACS, next-generation sequencing, cell-free protein synthesis, microfluidics, or hydrogel beads.
- Experience with styrene-maleic-acid polymers, SMALPs, native nanodiscs, membrane-protein purification, lipidomics, quantitative proteomics, mass spectrometry, or electron microscopy sample preparation.
- Experience with organoids, stem-cell-derived models, toxicology, chemical exposures, fluorescence imaging, or multi-omics integration.
- A strong record of method development, troubleshooting, collaborative publications, and independent experimental execution.
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
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.