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Associate Computational Biologist Jobs in Washington

Data Scientist 2

Annapolis Junction, MD · On-site

$115K - $145K/yr

Bachelor's Degree with 3 years of relevant experience or an Associates degree with 5 years of ... chemistry, biology, astronomy), or other science disciplines with a substantial computational ...

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

Bachelor's Degree with 10 years of relevant experience, associate's degree with 12 years of ... chemistry, biology, astronomy), or other science disciplines with a substantial computational ...

Data Scientist L2

Annapolis, MD · On-site

$135K - $150K/yr

Bachelor's Degree with 3 years of relevant experience, associate's degree with 5 years of ... chemistry, biology, astronomy), or other science disciplines with a substantial computational ...

An Associate's degree plus 5 years of relevant experience may be considered for individuals with in ... chemistry, biology, astronomy), or other science disciplines with a substantial computational ...

Data Scientist 3

Annapolis, MD · On-site

$155K - $185K/yr

Associates degree with 12 years of relevant experience * Bachelor's Degree must be in Mathematics ... chemistry, biology, astronomy), or other science disciplines with a substantial computational ...

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

Bachelor's Degree with 10 years of relevant experience, associate's degree with 12 years of ... chemistry, biology, astronomy), or other science disciplines with a substantial computational ...

Data Scientist 4

Annapolis, MD · On-site

$212K - $267K/yr

Associate's degree with 17 years of experience may be considered for individuals with in-depth ... chemistry, biology, astronomy), or other science disciplines with a substantial computational ...

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

Bachelor's Degree with 10 years of relevant experience, associate's degree with 12 years of ... chemistry, biology, astronomy), or other science disciplines with a substantial computational ...

Data Scientist 4

Annapolis, MD · On-site

$211K - $266K/yr

Bachelor's Degree with 10 years of relevant experience, associate's degree with 12 years of ... chemistry, biology, astronomy), or other science disciplines with a substantial computational ...

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

Bachelor's Degree with 10 years of relevant experience, associate's degree with 12 years of ... chemistry, biology, astronomy), or other science disciplines with a substantial computational ...

Data Scientist 3

Annapolis, MD · On-site

$157K - $215K/yr

Associates degree with 12 years of relevant experience. * Bachelor'sDegree must be in Mathematics ... chemistry, biology, astronomy), or other science disciplines with a substantial computational ...

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

Bachelor's Degree with 10 years of relevant experience, associate's degree with 12 years of ... chemistry, biology, astronomy), or other science disciplines with a substantial computational ...

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

Associates degree with 12 years of relevant experience. * Bachelor'sDegree must be in Mathematics ... chemistry, biology, astronomy), or other science disciplines with a substantial computational ...

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

Bachelor's Degree with 10 years of relevant experience, associate's degree with 12 years of ... chemistry, biology, astronomy), or other science disciplines with a substantial computational ...

Showing results 41-60

Associate Computational Biologist information

See Washington salary details

$54.9K

$106.5K

$151.2K

How much do associate computational biologist jobs pay per year?

As of Sep 7, 2026, the average yearly pay for associate computational biologist in Washington is $106,451.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,800.00 and $132,500.00 per year, depending on experience, location, and employer.

What is an associate computational biologist?

An Associate Computational Biologist analyzes biological data using computational techniques to support research in genomics, proteomics, and related fields. They work with large datasets, develop algorithms, and write code to interpret biological information. This role often involves collaborating with biologists, bioinformaticians, and software engineers to derive insights from complex biological systems. Strong skills in programming, statistics, and data analysis are essential.

What are the typical daily responsibilities of an associate computational biologist?

An Associate Computational Biologist typically spends their days analyzing large-scale biological data sets, developing or utilizing computational models, and collaborating closely with lab scientists and senior bioinformaticians. Tasks may include writing scripts to automate data processing, visualizing complex results, and interpreting biological significance in partnership with experimental teams. You may also be responsible for troubleshooting data anomalies, staying current with evolving bioinformatics tools, and participating in team meetings to discuss ongoing research projects. This dynamic work environment requires both independent focus and regular communication with interdisciplinary colleagues.

What are the key skills and qualifications needed to thrive in the associate computational biologist position, and why are they important?

To thrive as an Associate Computational Biologist, you need a strong foundation in biology, statistics, and programming, often demonstrated by a relevant degree in bioinformatics, computational biology, or a related field. Familiarity with tools such as Python, R, data visualization software, and commonly used genomics databases is essential, and experience with high-performance computing environments is a plus. Strong problem-solving skills, attention to detail, and the ability to communicate complex findings effectively with interdisciplinary teams are key soft skills for this role. These competencies enable accurate analytical work, innovative research approaches, and effective collaboration, ensuring success in a fast-paced, research-driven environment.

What are the most commonly searched types of Computational Biologist jobs in Washington?

The most popular types of Computational Biologist jobs in Washington are:

What cities in Washington are hiring for Associate Computational Biologist jobs?

Cities in Washington with the most Associate Computational Biologist job openings:

Infographic showing various Associate Computational Biologist job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 23% Part Time, 3% Temporary, and 5% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $106,451 per year, or $51.2 per hour.

Postdoctoral Researcher

National Cancer Institute (NCI)

Gaithersburg, MD • On-site

Other

Posted 2 days ago

New


Job description

A Post-Doctoral Research Fellow position is available in the Amundadottir Lab at the Division of Cancer Epidemiology and Genetics, the National Cancer Institute, the NIH. The core focus of our lab is to interrogate the mechanisms by which inherited risk variants predispose individuals to pancreatic ductal adenocarcinoma (PDAC). With the results of a new GWAS study in hand (from 38,000 PDAC patients and over 2 million control subjects) we are embarking on large scale genomic screens to study the underlying biology of risk in the presence of inflammatory signals that mimic known PDAC risk factors (e.g., pancreatitis, obesity, T2D and smoking).


The Amundadottir lab is seeking a highly qualified and motivated Post-Doctoral Fellow to study inherited risk loci from ongoing gene mapping projects (GWAS, TWAS etc). The applicant will utilize primary pancreatic cell populations from organ donors as well as induced pancreatic organoid cultures (iPSC-derived) as well as both large scale (across all risk signals) and focused (at specific loci) genomic screens to identify target genes and mechanisms by which inherited variation influences PDAC risk.


This position provides the opportunity to work collaboratively with other NCI research groups focusing on exocrine pancreatic gene regulatory networks, the use of genomic approaches in primary human pancreatic organoid cultures, and statistical genetics approaches.


Prior experience with large-scale genomics screens, primary cell models, high-throughput, sequencing technologies, and computational analyses is helpful but not required. Curiosity, creativity, scientific independence, rigor, and enthusiasm are more important.


Candidates should have (or expect to receive), a Ph.D. or an M.D./Ph.D. with less than 5 years of experience in an academic or industry setting. Strong communication skills, intellectual curiosity, and the ability to work both independently and collaboratively are essential.


The Amundadottir Lab is committed to mentorship and career development. Postdoctoral associates will receive support in developing an independent research vision, publishing impactful work, applying for fellowships and grants, presenting at conferences, mentoring trainees, and preparing for future careers in academia, industry, or related fields.


Current Research Areas

  • Identifying germline variants that influence PDAC risk
  • Defining gene regulatory mechanisms and pathways underlying PDAC risk signals
  • Characterizing molecular QTLs (eQTLs, sQTLs, meQTLs, and caQTLs) in primary purified exocrine pancreatic cell populations and organoids
  • Defining genetic regulation of master regulators, including transcription factors and other key gene regulatory proteins
  • Developing and applying primary human pancreatic organoid and iPSC models to investigate mechanisms of inherited PDAC risk
  • Defining how cellular stress and inflammatory signaling influence the effects of inherited PDAC risk variants


Experimental Approaches

  • Functional genomic screens at inherited risk signals for PDAC
  • Massively Parallel Reporter Assays (MPRA) – genome wide and focused at specific risk loci
  • CRISPR/Cas9 perturbation screens - both genome wide and focused on specific risk signals
  • CRISPR/Cas9 editing of candidate functional risk variants
  • Primary pancreatic organoid cultures and their genetic manipulation
  • Human iPSC differentiation and genetic manipulation
  • Inducible gene expression and knockdown systems
  • Proteomics and functional assessment of coding and noncoding variants (i.e., oligo pulldown – proteomics) from GWAS and other gene mapping approaches.


For interested applicants, please send: 1) A Curriculum Vitae (CV), 2) bibliography, and 3) a cover letter with a description of research experience and interests, to Laufey Amundadottir at amundadottirl@nih.gov


Laufey Amundadottir PI page: https://dceg.cancer.gov/about/staff-directory/amundadottir-laufey

Amundadottor lab page: https://dceg.cancer.gov/about/organization/tdrp/ltg/amundadottir-lab