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Bioinformatics Engineering Jobs in Baltimore, MD

Co-op - Computational Lab

Silver Spring, MD

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Apply agent-based modeling to represent behavior of cell populations on tissue engineered scaffolds ... bioinformatics / machine learning skills (project-dependent) * Highly self-motivated * Excellent ...

Analytical Chemist

Gunpowder, MD

$76K - $120K/yr

  • Medical

  • Life

  • Retirement

Through the power of our combined capabilities, we provide deep expertise in Advanced Engineering ... A background or operational experience in bioinformatics is a strong plus. * Interdisciplinary ...

Analytical Chemist

Aberdeen, MD · On-site

$76K - $120K/yr

  • Medical

  • Life

  • Retirement

Through the power of our combined capabilities, we provide deep expertise in Advanced Engineering ... A background or operational experience in bioinformatics is a strong plus. * Interdisciplinary ...

... Engineering, Information & Data Science, Geographical Information Systems, Physics, Astronomy, Atmospheric Sciences, Computational Chemistry & Biochemistry, Computational Biology & Bioinformatics ...

Showing results 41-60

Bioinformatics Engineering information

See Baltimore, MD salary details

$42.7K

$130.2K

$237K

How much do bioinformatics engineering jobs pay per year?

As of Aug 18, 2026, the average yearly pay for bioinformatics engineering in Baltimore, MD is $130,219.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,400.00 and $156,000.00 per year, depending on experience, location, and employer.

What is a bioinformatics engineer?

A bioinformatics engineer is a professional who develops and applies computational tools and techniques to analyze and interpret biological data, such as DNA sequences or protein structures. They combine expertise in computer science, biology, and mathematics to create software, manage databases, and solve complex biological problems. Bioinformatics engineers often work in research, pharmaceuticals, healthcare, and biotechnology industries to help advance scientific discoveries and medical innovations.

What are the key skills and qualifications needed to thrive as a bioinformatics engineer?

To thrive as a Bioinformatics Engineer, you need a solid background in biology, computer science, and statistics, often supported by a degree in bioinformatics or a related field. Familiarity with programming languages like Python or R, experience with bioinformatics tools (e.g., BLAST, GATK), and proficiency with databases and cloud computing platforms are typically required. Strong problem-solving, analytical thinking, and collaboration skills set standout professionals apart in this interdisciplinary field. These competencies are crucial for effectively analyzing complex biological data and driving innovation in life sciences research.

How do bioinformatics engineers typically collaborate with biologists and data scientists in a research setting?

Bioinformatics engineers frequently work in cross-disciplinary teams, partnering closely with biologists to understand experimental goals and with data scientists to analyze complex datasets. Effective communication is key, as engineers must translate biological questions into computational workflows and interpret results in a way that is meaningful to non-technical team members. This collaborative approach not only accelerates research but also helps engineers gain a deeper understanding of biological processes, which can lead to more innovative solutions and professional growth.

What is the difference between Bioinformatics Engineering vs Bioinformatics Analyst?

AspectBioinformatics EngineeringBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; programming skillsBachelor's or Master's in Bioinformatics, Biology, or related fields; data analysis skills
Work EnvironmentResearch labs, biotech companies, healthcare institutionsResearch institutions, healthcare, pharmaceutical companies
Employer & Industry UsageDevelops tools, pipelines, and software for data analysisInterprets data, generates reports, supports research projects

Bioinformatics Engineering focuses on developing software and pipelines for data processing, requiring programming expertise. In contrast, Bioinformatics Analysts primarily interpret data and generate insights, often with a stronger emphasis on biological knowledge. Both roles are vital in biotech and healthcare industries, but they differ in technical scope and daily tasks.

What do bioinformatics engineers do?

Bioinformatics engineers develop and implement computational tools and algorithms to analyze biological data, such as genetic sequences and molecular structures. They often work with programming languages like Python or R, utilize databases, and collaborate with biologists to interpret data for research and medical applications.

What are popular job titles related to Bioinformatics Engineering jobs in Baltimore, MD?

For Bioinformatics Engineering jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Engineering jobs in Baltimore, MD look for?

The top searched job categories for Bioinformatics Engineering jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Bioinformatics Engineering jobs?

Cities near Baltimore, MD with the most Bioinformatics Engineering job openings:

Infographic showing various Bioinformatics Engineering job openings in Baltimore, MD as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $130,219 per year, or $62.6 per hour.

Technical Project Manager (Data Science and AI Institute)

Johns Hopkins University

Baltimore, MD • On-site

Full-time

Posted 14 days ago


Johns Hopkins University rating

8.0

Company rating: 8.0 out of 10

Based on 71 frontline employees who took The Breakroom Quiz

188th of 618 rated colleges and universities


Job description

The Johns Hopkins Data Science and AI Institute (DSAI) is a new pan-institutional initiative at Johns Hopkins to advance artificial intelligence and its applications, in part through investments in the software engineering, data science, and machine learning space. DSAI is focused on revolutionizing discovery by advancing artificial intelligence that evolves collaboratively with human intelligence, combining the strengths of each for the betterment of society and the world in which we live. DSAI will bring together the mathematical, computational, and ethical foundations of AI with the domains of Health & Medicine, Scientific Discovery, Engineered Systems, Security & Safety, and People, Policy & Governance.
DSAI is seeking a Technical Project Manager (TPM) to assist multiple project teams in management of project scope, estimation, milestone criteria, status tracking, and resource allocation. This role combines knowledge of modern scientific computing, AI/ML and data science with expertise in complex software project management to drive systematic definition, tracking and delivery for high-value projects identified across all areas of science, engineering, medicine, social science and public policy.
The TPM will be at the forefront of modern data intensive science, where professionally developed software is rapidly becoming a key ingredient for success. The DSAI initiative includes the build-out of a substantive and professional-scale software engineering capability, and a dramatic increase in infrastructure, both in hardware and in personnel.
Specific Duties & Responsibilities
  • Support multiple project teams simultaneously across the institute.
  • Work with engineering teams and partners to define and document user and functional scenarios, requirements, and project scope.
  • Work with engineering teams and partners to support project planning and delivery, and to define and document milestone criteria, objectives and key results, reviews, results, and status.
  • Reports project status to leadership.
  • Use DSAI engineering's project management tools and processes.
  • Create and manage schedules and provide ongoing project status tracking.
  • Use feedback from partners and engineering team to continuously improve management artifacts and processes.
  • Leading and participating in service activities, potentially including
    • Providing guidance to faculty, staff, and students on project management
    • Developing and delivering presentations and short courses
    • Attending conferences and workshops
    • Hiring
    • Other activities as needed

Special Knowledge, Skills, & Abilities
  • Strong understanding of the software development lifecycle.
  • Strong knowledge and track record using software development processes such as agile and Rational Unified.
  • Proficiency with modern project management software, wikis, and related tools.
  • Experience collaborating with developers and scientists to define project scope, milestones, and estimates.
  • Familiarity with cloud infrastructure and modern software application development frameworks and libraries.
  • Familiarity with modern scientific computing, AI/ML and data science technology concepts.
  • Strong communication, diplomacy, and interpersonal skills.
  • Excellent presentation skills tailoring content depending on audience and ensuring that messaging lands with all stakeholders.

Minimum Qualifications
  • Bachelor's Degree in a Quantitative Discipline such as Computer Science, Engineering, Physics, Bioinformatics or similar.
  • Four years of experience related to project management in the software industry and three years of experience as a professional software developer.
  • Additional education may substitute for required experience, and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula.

Preferred Qualifications
  • Master's Degree
  • Six (6) years' experience project management in the software industry.
  • Experience working with research and scientific stakeholders in an academic or industry research setting.
  • Knowledge or experience with PHI and PII data privacy regulations and compliance requirements and frameworks.
  • Relevant project management certifications such as PMP or SCM.

Classified Title: Scientific Software Engineer
Job Posting Title (Working Title): Technical Project Manager (Data Science and AI Institute)
Role/Level/Range: APPTSTAF/01/ST
Starting Salary Range: Commensurate w/exp.
Employee group: Full Time
Schedule: M-F, 37.5 hrs wkly
FLSA Status: Exempt
Location: Hybrid/Mount Washington Campus
Department name: DSAI Institute
Personnel area: Whiting School of Engineering

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About Johns Hopkins University

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Gilman believed that teaching and research go hand in hand—that success in one depends on success in the other—and that a modern university must do both well. He also believed that sharing our knowledge and discoveries would help make the world a better place. In 145 years, we haven’t strayed from that vision. This is still a destination for excellent, ambitious scholars and a world leader in teaching and research. Distinguished professors mentor students in the arts and music, humanities, social and natural sciences, engineering, international studies, education, business, and the health professions. Those same faculty members, along with their colleagues at the university’s Applied Physics Laboratory, have made us the nation’s leader in federal research and development funding every year since 1979. That’s a fitting distinction for America’s first research university, a place that has revolutionized higher education in the U.S. and continues to bring knowledge and discoveries to the world.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Baltimore, MD, US

Year founded

1876