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Biomedical Engineer Phd Jobs in Silver Spring, MD

Axle

Bioinformatics Engineer

Rockville, MD · On-site

With experts in biomedical science, software engineering, and program management, we focus on ... PhD in a relevant field * Experience with nf-core pipelines and community standards * Familiarity ...

Draper

Senior Guidance & Control Engineer

Reston, VA · On-site +1

$82K - $220K/yr

From military defense and space exploration to biomedical engineering, lives often depend on the ... Masters or PhD in a related field is preferred. Experience 5-10 years of Software Engineering or ...

Draper

Principal Guidance & Control Engineer

Reston, VA · On-site +1

$95K - $245K/yr

From military defense and space exploration to biomedical engineering, lives often depend on the ... Masters or PhD in a related field is preferred. Experience 10-15 years of relevant Engineering ...

Johns Hopkins University

Postdoctoral Fellow

Baltimore, MD · On-site

$48K - $66K/yr

Description The Cho Laboratory directed by Sangkyun Cho, PhD, at Johns Hopkins University seeks 1-2 ... D. (or equivalent) in Biomedical Engineering, Bioengineering, Chemical Engineering, Molecular ...

Axle

Data Science Fellow - AI/NLP

Rockville, MD

PhD in computer science, computational biology, bioinformatics, biomedical informatics, NLP, machine learning, data science, or a related field. * Strong Python programming skills. * Demonstrated ...

Draper

Senior Radiation Analysis Engineer

Reston, VA · On-site

$82K - $220K/yr

From military defense and space exploration to biomedical engineering, lives often depend on the ... A Master's degree, or PhD is preferred. Experience Requires 5-7 years Radiation Engineering or ...

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Showing results 1-20

All JobsBiomedical Engineer Phd JobsBiomedical Engineer Phd Jobs in Silver Spring, MD

Biomedical Engineer Phd information

See Silver Spring, MD salary details

$40.3K

$93.3K

$137.7K

How much do biomedical engineer phd jobs pay per year?

As of Jul 16, 2026, the average yearly pay for biomedical engineer phd in Silver Spring, MD is $93,279.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,300.00 and $114,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Biomedical Engineer PhD, and why are they important?

To excel as a Biomedical Engineer PhD, you need advanced knowledge in biomedical engineering principles, research methodologies, and a doctoral degree in biomedical engineering or a related field. Familiarity with tools such as MATLAB, CAD software, laboratory instrumentation, and experience with regulatory standards like FDA or ISO is crucial. Exceptional analytical thinking, problem-solving abilities, and strong communication skills are vital for collaborating with multidisciplinary teams and conveying complex findings. These skills ensure innovative solutions, effective cross-functional teamwork, and successful navigation of regulatory and research challenges in biomedical engineering.

What is the difference between Biomedical Engineer Phd vs Biomedical Engineer?

AspectBiomedical Engineer PhdBiomedical Engineer
Required CredentialsPhD in Biomedical Engineering or related fieldBachelor's or Master's in Biomedical Engineering or related field
Work EnvironmentResearch labs, academia, advanced R&DHospitals, medical device companies, industry
Employer & Industry UsageAcademic institutions, research organizations, specialized R&DMedical device firms, healthcare facilities, manufacturing

The main difference between a Biomedical Engineer Phd and a Biomedical Engineer lies in education level, with the Phd focusing on advanced research and academic roles, while the Biomedical Engineer typically works in industry or clinical settings with a bachelor's or master's degree. The Phd often engages in innovative research, whereas the Biomedical Engineer applies engineering principles to develop and improve medical devices and systems.

What types of projects and collaborations can a Biomedical Engineer PhD expect to engage in within a multidisciplinary team?

Biomedical Engineer PhDs often work on projects that require close collaboration with clinicians, biologists, and other engineers. These collaborations may involve developing medical devices, improving imaging technologies, or conducting translational research that bridges laboratory findings with patient care. On a typical team, you might contribute expertise in advanced data analysis, experimental design, or regulatory compliance, while learning from colleagues in other specialties. This multidisciplinary environment fosters innovation and can open doors to leadership roles or specialized research positions in both academia and industry.

What does a Biomedical Engineer PhD do?

A Biomedical Engineer PhD conducts advanced research and develops innovative solutions at the intersection of engineering, biology, and medicine. They design and improve medical devices, imaging systems, and biotechnologies, often working in academic, clinical, or industry settings. Their work may include publishing scientific papers, leading research projects, and collaborating with healthcare professionals to translate discoveries into practical applications that improve patient care.
What job categories do people searching Biomedical Engineer Phd jobs in Silver Spring, MD look for? The top searched job categories for Biomedical Engineer Phd jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Biomedical Engineer Phd jobs? Cities near Silver Spring, MD with the most Biomedical Engineer Phd job openings:
Biomedical Engineer Phd jobs near you
Infographic showing various Biomedical Engineer Phd job openings in Silver Spring, MD as of July 2026, with employment types broken down into 2% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 1% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $93,279 per year, or $44.8 per hour.
Bioinformatics Engineer

Bioinformatics Engineer

Axle

Rockville, MD • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago

Job description

(ID: 2026-2391)
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).
Axle is seeking a Bioinformatics Engineer to join our vibrant team at the National Institutes of Health (NIH) supporting the Rockville, MD.
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)

Axle is seeking a skilled Bioinformatics Engineer to join our team supporting major pharmaceutical clients. In this role, you will review, assess, optimize, integrate, and extend production-grade bioinformatics workflows for high-throughput sequencing analysis. The ideal candidate combines deep expertise in genomics analysis methods with strong software engineering practices and cloud computing experience.
Key Responsibilities
  • Evaluate existing bioinformatics pipelines for performance, accuracy, and maintainability, identifying opportunities for optimization and enhancement
  • Develop, extend, and maintain Nextflow workflows for bulk RNA-seq, single-cell RNA-seq, DNA variant calling, methylation analysis, and emerging assay types
  • Architect scalable solutions capable of processing thousands of samples efficiently on Google Cloud Platform
  • Optimize data input/output operations across pipeline modules to minimize bottlenecks and reduce computational costs
  • Prepare and structure analysis outputs for visualization platforms and downstream statistical or machine learning applications
  • Implement best practices for workflow versioning, containerization, testing, and documentation
  • Collaborate with computational biologists, data scientists, and software engineers to integrate pipelines into broader analytical ecosystems
  • Stay current with advances in sequencing technologies and analytical methods, evaluating and incorporating new tools as appropriate

Required Qualifications
  • Master's degree in bioinformatics, computational biology, computer science, or a related field (or equivalent experience)
  • 3+ years of hands-on experience developing and maintaining bioinformatics pipelines in a production environment
  • Proficiency with Nextflow (DSL2) and familiarity with workflow management concepts
  • Strong experience with RNA-seq analysis (both bulk and single-cell) and DNA sequencing workflows (variant calling, methylation)
  • Working knowledge of Google Cloud Platform services (Compute Engine, Cloud Storage, Batch, Life Sciences API, or similar)
  • Proficiency in Python and/or R for scripting, data manipulation, and tool development
  • Experience with containerization technologies (Docker, Singularity)
  • Familiarity with version control systems (Git) and CI/CD practices
  • Strong understanding of genomic file formats (FASTQ, BAM, VCF, BED) and common bioinformatics tools (STAR, Salmon, BWA, GATK, Bismark, Cell Ranger, Seurat, Scanpy)

Preferred Qualifications
  • PhD in a relevant field
  • Experience with nf-core pipelines and community standards
  • Familiarity with workflow orchestration at scale (Cromwell, AWS Batch, or similar platforms)
  • Experience optimizing cloud costs and resource utilization for large-scale genomics workloads
  • Knowledge of data visualization tools and frameworks (e.g., R Shiny, Plotly, custom dashboards)
  • Experience in pharmaceutical, biotech, or regulated research environments
  • Familiarity with FAIR data principles and metadata standards

What We Offer
  • Opportunity to work on cutting-edge genomics projects with industry-leading pharmaceutical partners
  • Collaborative environment with experts in bioinformatics, data science, and software engineering
  • Professional development and growth opportunities
  • Competitive salary and benefits package

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
$125,000-$150,000 USD

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