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Machine Learning Biology Jobs in Washington (NOW HIRING)

Gormat

Data Scientist 2

Annapolis Junction, MD

You will also provide advanced discovery support using machine learning, analytical prototyping ... physics, chemistry, biology, astronomy), or other science disciplines with a substantial ...

Gormat

Data Scientist 2

Annapolis Junction, MD · On-site

$99K - $114K/yr

You will also provide advanced discovery support using machine learning, analytical prototyping ... physics, chemistry, biology, astronomy), or other science disciplines with a substantial ...

Gormat

Data Scientist 2

Annapolis Junction, MD · On-site

$99K - $114K/yr

You will also provide advanced discovery support using machine learning, analytical prototyping ... physics, chemistry, biology, astronomy), or other science disciplines with a substantial ...

Gormat

Data Scientist 3

Annapolis Junction, MD · On-site

$132K - $147K/yr

... physics, chemistry, biology, astronomy), or other science disciplines with a substantial ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

Gormat

Data Scientist 3

Annapolis Junction, MD · On-site

$132K - $147K/yr

... physics, chemistry, biology, astronomy), or other science disciplines with a substantial ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

Gormat

Data Scientist 3

Annapolis Junction, MD

... physics, chemistry, biology, astronomy), or other science disciplines with a substantial ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

GRVTY

Data Scientist 3

Annapolis Junction, MD · On-site

... physics, chemistry, biology, astronomy), or other science disciplines with a substantial ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

Gormat

Data Scientist 3

Annapolis Junction, MD · On-site

$132K - $147K/yr

... physics, chemistry, biology, astronomy), or other science disciplines with a substantial ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

Gormat

Data Scientist 3

Annapolis Junction, MD

... physics, chemistry, biology, astronomy), or other science disciplines with a substantial ... Relevant experience must be in designing/implementing machine learning, data science, advanced ...

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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 20, 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

Data Scientist III with Security Clearance

Black Eagle Defense

Fort George G Meade, MD • On-site

$128K - $185K/yr

Other

Re-posted 14 days ago

Job description

Job Description SALARY RANGE $128,000 - $185,000/year DUTIES As a successful candidate for the Data Scientist III role, you will work as an Analyst/Data Scientist hybrid, developing strategies to extract insights from large datasets using mathematics, statistics, computer science, and domain knowledge. Apply analytic modeling, statistical analysis, and programming to explore and assess complex datasets across varying formats and quality. Translate mission needs into technical requirements, guide analysis, and communicate findings clearly to non-technical audiences. Make informed recommendations by staying current with NSA/CSS data capabilities and limitations. Required Skills SKILLS Employ some combination (2 or more) of the following skill areas: * Foundations: (Mathematical, Computational, Statistical) * Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility) * Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) QUALIFICATIONS You must have experience with: * GM * PySpark * Java MapReduce And be familiar with: * Customer tools * Data modeling * Graph visualizations A Bachelor's Degree with 10 years of relevant experience or an Associate's degree with 12 years of experience may be considered for individuals with in-depth experience that is clearly related to the position. Bachelor's Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, data structures, data mining, artificial intelligence). College-level requirements, or upper-level math courses designated as elementary or basic, do not count. A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university. Relevant experience must be in one or more of the following areas: * Designing/implementing machine learning
* Data science
* Advanced analytical algorithms
* Programming (skill in at least one high-level language, e.g., Python)
* Statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models)
* Data management (e.g., data cleaning and transformation)
* Data mining
* Data modeling and assessment
* Artificial intelligence
* Software engineering
Experience in more than three areas is strongly preferred.

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