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Bioinformatics Engineering Jobs in Washington (NOW HIRING)

With experts in biomedical science, software engineering, and program management, we focus on ... Address bioinformatics, scientific computing, and data analysis needs of users within the Division ...

With experts in biomedical science, software engineering, and program management, we focus on ... Address bioinformatics, scientific computing, and data analysis needs of users within the Division ...

With experts in biomedical science, software engineering, and program management, we focus on ... Address bioinformatics, scientific computing, and data analysis needs of users within the Division ...

Bioinformaticist

Mclean, VA · On-site

$99K - $225K/yr

Experience in bioinformatics, data engineering, or biological data pipeline development * Experience with NoSQL for large-scale genomic datasets * Experience with containerization and orchestration ...

Bioinformaticist

Reston, VA · On-site

$99K - $225K/yr

Experience in bioinformatics, data engineering, or biological data pipeline development * Experience with NoSQL for large-scale genomic datasets * Experience with containerization and orchestration ...

Bioinformaticist

Washington, DC · On-site

$99K - $225K/yr

Experience in bioinformatics, data engineering, or biological data pipeline development * Experience with NoSQL for large-scale genomic datasets * Experience with containerization and orchestration ...

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Bioinformatics Engineering information

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 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.

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 salary of a bioinformatics engineer?

The average salary of a bioinformatics engineer typically ranges from $70,000 to $120,000 per year, depending on experience, education, and location. Professionals with advanced skills in programming, data analysis, and familiarity with tools like Python, R, and Linux tend to earn higher salaries.

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

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.
What job categories do people searching Bioinformatics Engineering jobs in Washington look for? The top searched job categories for Bioinformatics Engineering jobs in Washington are:
What cities in Washington are hiring for Bioinformatics Engineering jobs? Cities in Washington with the most Bioinformatics Engineering job openings:
Bioinformatics Systems Integration Lead Engineer

Bioinformatics Systems Integration Lead Engineer

GeneDx, Inc

Gaithersburg, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago


GeneDx rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

4th of 103 rated laboratories


Job description

Company Description
GeneDx is a rapidly growing CAP and CLIA certified diagnostic genetic testing laboratory for molecular genetics. Our historic mission has been to make clinical diagnostic testing available for people with genetic conditions and their families. We apply cutting edge technologies that provide a wide array of molecular genetic diagnostic tests, including whole exome sequencing and next generation sequencing panels. To learn more about GeneDx, please visit our website at www.genedx.com.
Job Description
GeneDx is seeking a Lead Engineer - Bioinformatics Systems Integration (FT, 40 hours) to work at our Gaithersburg, MD location, Monday through Friday, 8:30 a.m. to 5:00 p.m.
Role: The Lead Engineer - Bioinformatics Systems Integration will be responsible for the deployment, integration, and support of bioinformatics applications for genomic testing operations across GenPath and GeneDx. This position will also be responsible for optimization and modernization of existing systems and processes. He or she will additionally serve as the liaison between the GenPath genomics production laboratory and the assay development team at GeneDx.
Essential Duties:
  • Works closely with the assay development, clinical, wet lab, and IT teams to bring new assays into production
  • Gathers requirements, designs high-level workflows, anticipates business needs, and estimates timelines for GenPath bioinformatics projects
  • Creates and improves existing testing and deployment frameworks for bioinformatics software development
  • Optimizes existing systems (pipelines, databased, etc.) to improve scalability and maintainability
  • Contributes to the development of software for new assay implementation
  • Establishes and implements policies for bioinformatics software validations and releases and other related activities
  • Mentors jurior developers in best coding practices and general career development
  • Supervises GenPath laboratory informatics software engineers supporting and transitioning from legacy systems (Filemaker, MS Access)
  • Supports LIS system development and integration at GenPath; LIS development is performed by a third party
  • Travels up to 10-20% (maximum 2 days every other week) to GenPath at BioReference Laboratories in Elmwood Park, NJ

Qualifications
Qualifications:
  • BS or MS in Bioinformatics, Computer Science, or a related field
  • 10+ years professional software development experience
  • 5+ years leadership experience
  • 5+ years experience in genomics/bioinformatics software development
  • Proficiency in at least one major scripting language (Perl, Python)
  • Proficiency in relational database engineering (Postgres, MySQL, etc.)
  • Proficiency in Linux shell
  • Proficiency with Git version control or another modern version control system
  • Experience with HPC or cloud computing (Slurm, AWS, SGE, etc.)
  • Broad knowledge of modern genomic assay technologies and data (NGS, aCGH, etc.)

Additional Information
All your information will be kept confidential according to EEO guidelines.
Benefits include:
  • Paid Time Off (vacation, sick, personal, holiday, jury duty, bereavement leave)
  • Health, dental, vision, life insurance, LT/ST disability plans
  • Flexible Spending Account (FSA)
  • Health Savings Account (HSA)
  • 401K retirement savings plan with a 4% company match and immediate vesting
  • Tuition Assistance
  • Employee Discounts (cell phone service, movie tickets, etc.)
  • Regular performance appraisals
  • Many promotions from within

Business casual, dog-friendly work environment