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Director Machine Learning Biology Jobs in Virginia

Cymertek

Machine Learning Engineer

Chantilly, VA · On-site

... Biology, Physics, ect. ALTERNATE EXPERIENCE General comment on degrees: Most contracts allow ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Cymertek Corporation

Machine Learning Engineer

Reston, VA · On-site

$110 - $170/hr

... Biology, Physics, ect. ALTERNATE EXPERIENCE General comment on degrees: Most contracts allow ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Cymertek

Machine Learning Engineer

Reston, VA · On-site

... Biology, Physics, ect. ALTERNATE EXPERIENCE General comment on degrees: Most contracts allow ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

Cymertek

Machine Learning Engineer

Tysons, VA · On-site

... Biology, Physics, ect. ALTERNATE EXPERIENCE General comment on degrees: Most contracts allow ... With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional ...

WorkNovas LLC

Machine Learning Engineer

Richmond, VA · On-site

Machine Learning Engineer Richmond, Virginia (5 Days Onsite) need local within commute About the ... Direct experience with Azure AI Foundry and Copilot Studio Experience integrating AI agents into ...

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All JobsMachine Learning Biology JobsDirector Machine Learning Biology JobsDirector Machine Learning Biology Jobs in Virginia

Director Machine Learning Biology information

What is the difference between Director Machine Learning Biology vs Data Scientist Biology?

AspectDirector Machine Learning BiologyData Scientist Biology
Required CredentialsAdvanced degrees (PhD/Master's) in Biology, Computer Science, or related fields; experience in machine learningBachelor's or Master's in Data Science, Biology, or related fields; programming skills; some experience in machine learning
Work EnvironmentLeadership roles in R&D teams, strategic planning, overseeing projectsData analysis, model development, research, and reporting
Employer & Industry UsageBiotech, pharmaceutical companies, research institutionsBiotech, healthcare, research organizations, academia

The main difference is that the Director Machine Learning Biology focuses on leading teams and strategic initiatives in applying machine learning to biological data, while Data Scientist Biology primarily conducts data analysis and model development within biological research projects. The director role involves higher-level management and oversight, whereas the data scientist role is more hands-on with data and algorithms.

What are the most commonly searched types of Machine Learning Biology jobs in Virginia?

The most popular types of Machine Learning Biology jobs in Virginia are:

What are popular job titles related to Director Machine Learning Biology jobs in Virginia?

For Director Machine Learning Biology jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Director Machine Learning Biology jobs in Virginia look for?

The top searched job categories for Director Machine Learning Biology jobs in Virginia are:

What cities in Virginia are hiring for Director Machine Learning Biology jobs?

Cities in Virginia with the most Director Machine Learning Biology job openings:

Director Machine Learning Biology jobs near you
Infographic showing various Director Machine Learning Biology job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Machine Learning Engineer

Cymertek Corporation

Chantilly, VA • On-site

Full-time

Re-posted 16 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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