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Genomic Analyst Jobs in Springfield, VA (NOW HIRING)

Experience with handling and analyzing large genomics datasets, as well as experience in developing software in compiled, statically-typed, garbage-collection-free languages (e.g. Rust, C, C++, Zig)

What programming languages are you comfortable using for bioinformatics data analysis? * What bioinformatics areas are you familiar with? (e.g., single cell, bulk genomics, transcriptomics ...

What programming languages are you comfortable using for bioinformatics data analysis? * What bioinformatics areas are you familiar with? (e.g., single cell, bulk genomics, transcriptomics ...

What programming languages are you comfortable using for bioinformatics data analysis? * What bioinformatics areas are you familiar with? (e.g., single cell, bulk genomics, transcriptomics ...

... analysis. Responsibilities : • Evaluate existing bioinformatics pipelines for performance ... genomic file formats (FASTQ, BAM, VCF, BED) and common bioinformatics tools (STAR, Salmon, BWA ...

Showing results 41-60

Genomic Analyst information

What is the difference between Genomic Analyst vs Bioinformatics Technician?

AspectGenomic AnalystBioinformatics Technician
Required CredentialsBachelor's or Master's in Genetics, Biology, or related field; experience with genomic data analysisAssociate's or Bachelor's in Bioinformatics, Computer Science, or related field; basic data analysis skills
Work EnvironmentLaboratories, research institutions, biotech companiesComputing labs, research facilities, biotech firms
Employer & Industry UsageResearch labs, healthcare, biotech industryResearch institutions, biotech companies, hospitals
Common Search & Comparison IntentUnderstanding roles in genomic data analysisEntry-level bioinformatics roles in genomics

The Genomic Analyst typically has advanced education and handles complex data interpretation, while the Bioinformatics Technician often supports data processing and basic analysis. Both roles are vital in genomics research but differ in responsibilities and experience requirements.

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

To thrive as a Genomic Analyst, you need a solid background in genetics, bioinformatics, and data analysis, often supported by a degree in biology, genomics, or a related field. Familiarity with next-generation sequencing (NGS) platforms, genomic databases, and tools like Python, R, and specialized software such as GATK or IGV is essential. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for interpreting data and collaborating with interdisciplinary teams. These abilities are vital for ensuring accurate genomic data interpretation, driving research, and supporting clinical decision-making.

What are some common challenges genomic analysts face when interpreting large-scale sequencing data?

Genomic Analysts often encounter challenges related to managing and interpreting massive datasets generated by next-generation sequencing technologies. Ensuring data quality, distinguishing meaningful genetic variants from background noise, and integrating information from multiple data sources require strong analytical and computational skills. Collaborating closely with bioinformaticians, laboratory scientists, and clinicians is essential to validate findings and translate them into actionable insights. Staying current with evolving tools and best practices is also key to overcoming these challenges.

What is a genomic analyst?

A Genomic Analyst is a professional who specializes in analyzing and interpreting genomic data to understand genetic variations and their impact on health, disease, or traits. They use advanced bioinformatics tools and techniques to process DNA, RNA, and other molecular data, often working in research, clinical, or pharmaceutical settings. Genomic Analysts collaborate with scientists, clinicians, and other healthcare professionals to provide insights that can inform patient care, drug development, or further research. Their work is essential for advancing personalized medicine and understanding the genetic basis of diseases.
What job categories do people searching Genomic Analyst jobs in Springfield, VA look for? The top searched job categories for Genomic Analyst jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Genomic Analyst jobs? Cities near Springfield, VA with the most Genomic Analyst job openings:
Infographic showing various Genomic Analyst job openings in Springfield, VA as of August 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 87% In-person, and 13% Remote job distribution.

Postdoctoral Associate

Umd

College Park, MD • On-site

$75K - $80K/yr

Full-time

Re-posted 26 days ago


Job description

Job Description SummaryOrganization's Summary Statement:
The postdoctoral research associate is responsible for developing novel computational methodology for high-throughput sequence genomics tasks, as well as for building efficient and robust implementations of these methods. The primary focus is on the development of methods for single-cell transcriptomic (RNA-seq) and ATAC-seq data, specifically in the single-cell context, though projects related to long-read RNA-sequencing and to foundational algorithmic and data structural questions is also within scope. The postdoctoral research associate leads their own project, as well as to collaborating with other members of the lab. The Patro lab has a strong commitment to open science, and to developing efficient, robust, usable and free and open-source software.
Duties include:
Designing and developing novel computational methodologies for the processing
and analysis of high-throughput sequencing data
Writing robust and efficient implementations of novel computational methods in a
"high-performance" programming language (Rust, C, C++, Zig) and integrating
these new tools with exisitng software developed by the lab
Preparing, writing, and editing scientific manuscripts
Collaborating with and co-mentoring PhD students
Assisting in the writing and preparation of funding proposals (NSF, NIH, and
other relevant foundations or opportunities)
Minimum qualifications:
Education: PhD in Computer Science or a closely-related field
Experience: Experience in performing independent research in algorithmic genomics,
and communicating scientific results via scientific publications and presentations.
Experience with handling and analyzing large genomics datasets, as well as experience
in developing software in compiled, statically-typed, garbage-collection-free languages
(e.g. Rust, C, C++, Zig).
Other: Strong written and oral communication skills. Strong interpersonal skills.
Physical Demands: Must be capable of maintaining a stationary position for extended periods. Job requires close-up vision for computer work.
Preferences:
Experience developing advanced computational methodology for genomics data
processing
Experience with and knowledge of compact and succinct data structures
Experience with and knowledge of methods for high-dimenstional statistical
inference (e.g. generative graphical models, maximum likelihood inference,
Bayesian inference, etc.)
Knowledge of or willingness to learn the Rust programming language
Experience with data analysis and visualization
Familiarity with common genomics tools, formats and programs
Experience with standard *-nix command-line tools and idioms
Familiarity with reproducible scientific workflow systems, such as Nextflow or
Snakemake
Licenses/ Certifications: N/AAdditional Job Details

The Patro lab is part of the University of Maryland Institute for Advanced Computer Studies (UMIACS). UMIACS is a multidisciplinary computing research institute led by distinguished researchers and supported by a cutting-edge infrastructure. UMIACS pioneers computational science involving national defense, precision medicine, big data, cybersecurity, language and culture, and more.

Required Application Materials:
1. Personal statement (research vision, accomplishments and approach)
2. CV
3. Research portfolio (2-4 papers or mature pre-prints)
4. Software sample (prefferably hosted on GitHub or a similar service)
5. 2 References

Best Consideration Date: 10/27/2025

Open Until Filled: Yes

Financial Disclosure RequiredNo

For more information on Financial Disclosure, please visit Maryland's State Ethics Commission website.

DepartmentCMNS-Institute for Advanced Computer StudiesWorker Sub-Type Faculty RegularSalary Range$75,000 - $80,000
Benefits Summary

For more information on Regular Faculty benefits, select this link.

Background Checks

Offers of employment are contingent on completion of a background check. Information reported by the background check will not automatically disqualify anyone from employment. Before any adverse decision, the finalist will have an opportunity to provide information to the University regardingdisclosablebackground checkinformation. The University reserves the right to rescind the offer of employment or otherwise decline or terminate employment if the information reported by the background check is deemed incompatible with the position, regardless of when the background check is completed.

Employment Eligibility

The successful candidate must complete employment eligibility verification (on Form I-9) by presenting documents that establish identity and work authorization within the timeframe required by federal immigration law, and where applicable, to demonstrate renewed employment authorization. Failure to complete employment eligibility verification or reverification within the timeframe set forth by law may result in suspension or termination of employment.

EEO Statement

The University of Maryland, College Park is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment. Please read the University's Equal Employment Opportunity Statement of Policy.

Title IX Non-Discrimination Notice
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