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Machine Learning Biology Jobs in Washington (NOW HIRING)

Gormat

Data Scientist 2

Annapolis Junction, MD · On-site

$99K - $114K/yr

* We are seeking a Data Scientist with a background in AI, Machine Learning (ML), and Natural ... physics, chemistry, biology, astronomy), or other science disciplines with a substantial ...

Gormat

Data Scientist 2

Annapolis Junction, MD

* We are seeking a Data Scientist with a background in AI, Machine Learning (ML), and Natural ... physics, chemistry, biology, astronomy), or other science disciplines with a substantial ...

New

MORSE Corp

Data Scientist- TS/SCI

Arlington, VA · On-site

Responsibilities : • Perform data analysis, test and evaluation of existing machine learning ... or Biological Sciences or a related field • 3+ years of experience in Data Science or Analysis ...

Gormat

Data Scientist 2

Annapolis Junction, MD · On-site

$99K - $114K/yr

* We are seeking a Data Scientist with a background in AI, Machine Learning (ML), and Natural ... physics, chemistry, biology, astronomy), or other science disciplines with a substantial ...

New

Gormat

Data Scientist 2

Annapolis Junction, MD · On-site

Gormat is seeking a Level 2 Data Scientist with expertise in AI, Machine Learning, and Natural ... physics, chemistry, biology, astronomy), or other science disciplines with a substantial ...

New

GRVTY

Data Scientist 2

Annapolis Junction, MD

This role combines artificial intelligence and machine learning skills with a strong foundation in ... physics, chemistry, biology, astronomy), or other science disciplines with a substantial ...

Gormat

Data Scientist 2

Annapolis Junction, MD · On-site

... using machine learning, analytical prototyping, scripting, automation, data visualization ... physics, chemistry, biology, astronomy), or other science disciplines with a substantial ...

New

MORSE Corp

Data Scientist- TS/SCI

Arlington, VA · On-site

$110K - $210K/yr

You will be part of teams performing Test and Evaluation (T&E) of AI and machine learning models ... or Biological Sciences or a related field * 3+ years of experience in Data Science or Analysis

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All JobsMachine Learning Biology JobsMachine Learning Biology Jobs in Washington

Machine Learning Biology information

See Washington salary details

$26.1K

$59.1K

$84.4K

How much do machine learning biology jobs pay per year?

As of Jul 14, 2026, the average yearly pay for machine learning biology in Washington is $59,110.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,800.00 and $68,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals working in Machine Learning Biology?

Professionals in Machine Learning Biology often deal with challenges such as handling large and complex biological datasets, integrating heterogeneous data types (like genomics, proteomics, or imaging), and addressing the noise and variability inherent in biological data. Interpreting results in a biologically meaningful way and ensuring reproducibility of models can also be complex, requiring close collaboration with experimental scientists. Many teams are cross-functional, so frequent communication with biologists, clinicians, and software engineers is important for project success. While these challenges can be demanding, they also offer opportunities for innovation and significant contributions to scientific discovery or medical advances.

Is ML a high paying job?

Machine Learning Biology roles are generally well-paid due to the specialized skills required, such as expertise in data analysis, programming, and biological sciences. Salaries vary based on experience, location, and industry, but they tend to be higher than average for many entry-level positions in related fields.

What is a Machine Learning Biology job?

A Machine Learning Biology job involves applying machine learning techniques to analyze biological data, such as genomic sequences, protein structures, or medical images. Professionals in this field develop algorithms to identify patterns, make predictions, and derive insights that can advance research in drug discovery, personalized medicine, and biotechnology. These roles typically require expertise in biology, data science, and programming, often using tools like Python, TensorFlow, or scikit-learn.

Is AI taking over biology jobs?

Machine Learning Biology professionals use AI and data analysis to advance biological research, but AI is generally a tool that complements rather than replaces human expertise. Many roles require domain knowledge, critical thinking, and interpretation skills that AI cannot fully replicate, so AI is more of an aid than a threat to biology jobs.

What are the key skills and qualifications needed to thrive in the Machine Learning Biology position, and why are they important?

To thrive as a Machine Learning Biology professional, you need expertise in both computational methods (especially machine learning and data science) and a solid understanding of biological sciences, typically supported by an advanced degree in bioinformatics, computational biology, or a related field. Familiarity with programming languages like Python or R, experience using machine learning frameworks (such as TensorFlow or scikit-learn), and working with biological databases are highly valued. Strong analytical thinking, problem-solving abilities, and effective interdisciplinary communication are key soft skills for this position. These competencies are vital for translating complex biological data into actionable insights and advancing research or product development in biotechnology and life sciences.

What is machine learning in biology?

Machine learning in biology involves using algorithms and statistical models to analyze biological data, such as genetic sequences or imaging, to identify patterns and make predictions. Professionals in this field often work with large datasets and tools like Python or R to develop models that can assist in tasks like disease diagnosis, drug discovery, and understanding biological processes.

What biology jobs pay over $100k?

In the field of machine learning biology, roles such as bioinformatics director, computational biologist, and data science lead often have salaries exceeding $100,000, especially with advanced skills in programming, statistical analysis, and experience with tools like Python, R, and machine learning frameworks. These positions typically require a strong background in biology and data science, along with relevant advanced degrees and experience in research or industry settings.
What are popular job titles related to Machine Learning Biology jobs in Washington? For Machine Learning Biology jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Machine Learning Biology jobs in Washington look for? The top searched job categories for Machine Learning Biology jobs in Washington are:
What cities in Washington are hiring for Machine Learning Biology jobs? Cities in Washington with the most Machine Learning Biology job openings:
Machine Learning Biology jobs near you

Computational Biologist (SRA Bioinformatics)

BCC

Fairfax, VA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday

Job description

Overview

Black Canyon Consulting (BCC) seeks a Computational Biologist (SRA Bioinformatics) to support our work for the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), an institute of the National Institutes of Health. This opportunity is full time and onsite at the NIH-NCBI in Bethesda, MD and/or remote work.

NCBI is part of the National Library of Medicine (NLM) at NIH. NCBI is the world’s premier biomedical center hosting over six million daily users that seek research, clinical, genetic, and other information that directly impacts biomedical research and public health – at NCBI you can literally help to accelerate cures for diseases! NCBI’s wide range of applications, platforms (node, python, Django, C++, you name it) and environments (big data [petabytes], machine learning, multiple clouds) serve more users than almost any other US Government Agency according to https://analytics.usa.gov/.

We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition and conference reimbursement. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!

Job Responsibilities

  • Lead team through a complete product lifecycle of discovery to delivery
  • Lead data analysis and user research efforts and utilize findings in the development of product requirements and to inform objective decision making
  • Develop product vision, goals, and strategic roadmaps and lead the execution
  • Prioritize product team actions and provide clear guidance to create incremental value in an Agile environment
  • Develop partnerships and collaborations with internal and external stakeholders to improve data usability and impact

Required Skills/Experience

  • Doctorate level degree in bioinformatics, molecular biology, computational biology, data science, computer science, information technology, or a similar field
  • Conceptual knowledge of genomics, molecular biology, and computational biology
  • Practical knowledge of bioinformatics, bioinformatic tools, and the application of genomic sequencing data to biomedical and other scientific use cases
  • Experience leading teams, setting team goals, prioritizing work based on available information and stakeholder needs, and utilizing metrics to measure success
  • Experience providing an effective work environment
  • The ability to troubleshoot technical and staffing roadblocks and mitigate risks
  • Experience in diplomatically resolving conflicting priorities from multiple user groups, technical stakeholders
  • The ability to troubleshoot technical and staffing roadblocks and mitigating risks
  • Excellent communication skills, including verbal, written, and presentation skills
  • Strong interpersonal engagement, networking, and collaboration skills

Desired Skills/Experience

  • Experience working with SRA or similar sequence databases and applying next generation sequencing data to biological problems
  • Experience serving in the capacity of post-doctorate Investigator, Product Owner or Product Manager experience
  • Familiarity and commitment to FAIR data practices
  • Familiarity or experience working in an Agile environment
  • Familiarity with data storage and/or processing in commercial cloud platforms like AWS or GCP
  • Working familiarity with one or more scripting languages
  • Working familiarity with large SQL databases
  • Familiarity with CI/CD pipelines, unit tests, integration, and regression testing

Benefits and Salary

We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition reimbursement.

We offer a competitive salary commensurate with experience and location.

If you enjoy being a part of a high-performing, professional service and technology-focused organization, please apply today!

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