ZipRecruiter

Log In

1

Postdoctoral Machine Learning Jobs in Washington

Umd

Post-Doctoral Associate

College Park, MD · On-site

$48K - $65K/yr

The postdocs will write and publish academic papers to present research results at top venues in computer vision, computer graphics and machine learning. The postdoc may also organize and participate ...

Howard University

Assistant Professor

Washington, DC · On-site

... machine learning, and artificial intelligence. • Supervise and mentor undergraduate and graduate students, postdoctoral scholars, and junior researchers. • Collaborate with faculty across ...

next page

Showing results 1-20

All JobsPostdoctoral Machine Learning JobsPostdoctoral Machine Learning Jobs in Washington

Postdoctoral Machine Learning information

See Washington salary details

$28.3K

$66.8K

$94.6K

How much do postdoctoral machine learning jobs pay per year?

As of Aug 23, 2026, the average yearly pay for postdoctoral machine learning in Washington is $66,848.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,500.00 and $75,300.00 per year, depending on experience, location, and employer.

What is a postdoctoral machine learning?

A Postdoctoral Machine Learning job is a research-focused position for individuals who have recently earned a Ph.D. in machine learning, artificial intelligence, or a related field. It typically involves conducting advanced research, publishing papers, collaborating with academic or industry partners, and developing novel algorithms or models. These roles are often hosted by universities, research institutes, or tech companies. The position helps researchers gain additional expertise and contribute to cutting-edge advancements before transitioning to faculty, industry, or independent research roles.

What are the typical daily responsibilities of a postdoctoral machine learning researcher?

A Postdoctoral Machine Learning researcher typically spends their day designing and implementing machine learning algorithms, analyzing experimental results, and preparing manuscripts for publication. They often collaborate with interdisciplinary teams of scientists and engineers, attend lab meetings, and contribute to grant writing or project proposals. Regular activities also include keeping up with recent scientific literature, mentoring graduate or undergraduate students, and presenting research findings at conferences or seminars. The blend of technical development and scientific communication makes each day dynamic and offers opportunities to influence both academia and industry.

What are the key skills and qualifications needed to thrive in a postdoctoral machine learning position?

To thrive as a Postdoctoral Machine Learning researcher, you need a strong background in machine learning theory, statistical analysis, and programming, typically supported by a Ph.D. in computer science, engineering, or a related quantitative field. Experience with Python, TensorFlow, PyTorch, and advanced data analytics tools is highly valued, as are relevant publications and experience with version control systems like Git. Strong problem-solving abilities, clear communication skills, and effective teamwork are crucial to excel in collaborative research settings. These skills and qualities are essential to drive innovative research, efficiently navigate complex datasets, and contribute to impactful scientific discoveries.

What are popular job titles related to Postdoctoral Machine Learning jobs in Washington?

For Postdoctoral Machine Learning jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Postdoctoral Machine Learning jobs in Washington look for?

The top searched job categories for Postdoctoral Machine Learning jobs in Washington are:

What cities in Washington are hiring for Postdoctoral Machine Learning jobs?

Cities in Washington with the most Postdoctoral Machine Learning job openings:

Postdoctoral Machine Learning jobs near you
Infographic showing various Postdoctoral Machine Learning job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 18% Part Time, 2% Temporary, and 5% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $66,848 per year, or $32.1 per hour.

Postdoctoral Fellows - Computational Biology & Machine Learning

The Henry M. Jackson Foundation for the Advancement of Military Medicine

Bethesda, MD • On-site

$52K - $71K/yr

Full-time

Posted 11 days ago

Job description

Job Summary:
The Henry M. Jackson Foundation for the Advancement of Military Medicine is a nonprofit organization dedicated to advancing military medicine. They are seeking a Postdoctoral Fellow in Computational Biology & Machine Learning to lead innovative research projects and develop AI/ML tools for cancer genomics analysis.
Responsibilities:
• Lead Innovative research. Conceive and execute computational research projects, develop novel algorithms and analytical frameworks to interrogate large-scale, multidimensional omics datasets, and translate findings into clinically meaningful insights. Motivation to lead research projects under Principal Investigator’s supervision.
• Build Artificial Intelligence (AI)/Machine Learning (ML) tools. Design, implement, document, and publicly release AI/ML models - including deep learning approaches - for integrative analysis of cancer genomic data, contributing resources that advance the broader scientific community.
• Engineer scalable pipelines. Develop and maintain robust, reproducible computational pipelines for processing, integrating, and managing complex biomedical datasets across multiple data modalities.
• Drive scientific communication. Lead and contribute to the preparation of high-impact scientific manuscripts, grant and fellowship applications, and conference presentations; represent the lab at national and international scientific meetings.
• Collaborate across disciplines. Actively contribute to team meetings and foster a culture of scientific excellence within a diverse, interdisciplinary research environment.
Qualifications:
Required:
• A PhD in Bioinformatics, Computational Biology, Systems Biology, Quantitative Genomics, Biomedical Engineering, Machine Learning, Computer Science (with a computational biology focus), or a closely related field is required.
• Candidates at all stages of their postdoctoral career (0–5 years of postdoctoral experience) are encouraged to apply.
• Strong foundation in statistical and computational modeling and data analysis applied to genomics questions is required.
• Experience with Artificial Intelligence (AI)/Machine Learning (ML) (deep learning) methods applied to cancer genomics is considered a strong asset.
• Demonstrated experience developing or applying computational or statistical pipelines to molecular, biological, clinical, or multi-omics data.
• Proficiency in Python, R, and/or C/C++, with hands-on experience using scientific computing libraries (e.g., pandas, NumPy, SciPy, scikit-learn, Bioconductor).
• Demonstrated experience building or applying computational/statistical pipelines to molecular, clinical, or multi-omics datasets.
• Proficiency with reproducible workflow management systems such as Snakemake, Nextflow, or equivalent pipeline frameworks.
• Familiarity with cloud or high-performance computing (HPC) environments, such as Google Cloud, Amazon AWS, SLURM/SGE-based clusters, or equivalent infrastructure.
• Experience applying AI/ML and deep learning methods to cancer genomics problems - particularly single-cell omics, spatial omics, epigenomics, or liquid biopsy fragmentomics is highly valued.
• Prior work with large-scale biomedical datasets, including multi-omics, single-cell, spatial, clinical genomics, or treatment-response data is highly valued.
• A track record of peer-reviewed publications commensurate with career stage in computational biology, bioinformatics, biomedical data science, or related fields is highly valued.
• Proven ability to collaborate effectively within large, interdisciplinary teams.
• Strong organizational skills with the ability to manage multiple priorities and meet deadlines in a fast-paced research environment.
• Excellent written and verbal communication skills in English, including demonstrated scientific writing ability.
• Ability to obtain and maintain a T1/Public Trust background check.
• Ability to stand or sit at a computer for prolonged periods.
Company:
The Henry M. Founded in 1983, the company is headquartered in Bethesda, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

Apply