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Machine Learning Biology Jobs in Washington (NOW HIRING)

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Machine Learning Engineer

Mclean, VA · On-site

Bachelor's degree in a quantitative field such as Statistics, Computer Science, Mathematics, Physical/Biological Sciences, or related technical discipline. Strong foundation in machine learning ...

Cymertek

Machine Learning Engineer

Chantilly, VA · On-site

Machine Learning Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this ... Biology, Physics, ect. ALTERNATE EXPERIENCE General comment on degrees: Most contracts allow ...

Cymertek Corporation

Machine Learning Engineer

Reston, VA · On-site

$110 - $170/hr

Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this ... Biology, Physics, ect. ALTERNATE EXPERIENCE General comment on degrees: Most contracts allow ...

Cymertek

Machine Learning Engineer

Reston, VA · On-site

Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this ... Biology, Physics, ect. ALTERNATE EXPERIENCE General comment on degrees: Most contracts allow ...

Cymertek

Machine Learning Engineer

Tysons, VA · On-site

Machine Learning Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this ... Biology, Physics, ect. ALTERNATE EXPERIENCE General comment on degrees: Most contracts allow ...

Howard University

Assistant Professor

Washington, DC · On-site

PRINCIPAL ACCOUNTABILITIES: • Conduct high-quality, externally visible research in applied mathematics, machine learning, and artificial intelligence, with relevance to biology and medicine. • ...

MORSE Corp

Data Scientist- TS/SCI

Arlington, VA

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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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 Aug 26, 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 is a machine learning biology?

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.

What are the key skills and qualifications needed to thrive in machine learning biology?

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 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.

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
Infographic showing various Machine Learning Biology 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 $59,110 per year, or $28.4 per hour.

Machine Learning Engineer

Annapolis Junction, MD • On-site

Cymertek Corporation
IT Services • 11 - 50 employees
Learn more about Cymertek Corporationexternal

Full-time

Re-posted 21 days ago

Job description

Job Summary:
Cymertek Corporation is seeking a talented and innovative Machine Learning Engineer to join their team and help build intelligent systems that drive impactful business solutions. In this role, you will work with cutting-edge technologies to design, develop, and deploy machine learning models that solve complex problems and improve decision-making processes.
Responsibilities:
• Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning)
• Ability to design, implement, and optimize machine learning models and workflows
• Experience working with large, complex datasets
• Knowledge of data preprocessing and feature engineering
• Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)
• Strong problem-solving skills and analytical thinking
Qualifications:
Required:
• Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning)
• Ability to design, implement, and optimize machine learning models and workflows
• Experience working with large, complex datasets
• Knowledge of data preprocessing and feature engineering
• Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)
• Strong problem-solving skills and analytical thinking
• Proficiency in programming languages (e.g., Python, R, Java)
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
• Expertise in model evaluation techniques and metrics
• Strong knowledge of version control tools (e.g., Git)
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau)
• Understanding of database technologies (e.g., SQL, NoSQL)
• Bachelor's Degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, Statistics, Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, etc.
Preferred:
• Experience with natural language processing (NLP)
• Knowledge of deep learning techniques (e.g., CNNs, RNNs)
• Familiarity with deployment tools (e.g., Docker, Kubernetes)
• Experience with data augmentation and synthetic data generation
• Ability to collaborate in cross-functional teams (e.g., engineers, product managers)
• Knowledge of edge computing and model optimization for deployment
Company:
With headquarters in Maryland, Cymertek [/'sī-mer-tek/] Corporation provides superior consulting services for the implementation of high quality information systems. Founded in 2010, the company is headquartered in Laurel, USA, with a team of 11-50 employees. The company is currently Early Stage.

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