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Executive Computer Science Bioinformatics Jobs in Virginia

Redhorse Corporation

Data Scientist

Arlington, VA · On-site +1

Bachelor's degree in a highly quantitative field (Computer Science, Machine Learning, Operational ... In accordance with Executive Order 14042 as a Federal Contractor Redhorse requires all U.S. new ...

Ippon Technology USA

Account Executive

Richmond, VA · On-site

The Account Executive positions Ippon USA's services and Solutions to Fortune 1000 organizations ... A background in sales, engineering, computer science, or MIS a plus * Track record of developing ...

Ippon Technology USA

Account Executive

Richmond, VA · On-site

The Account Executive positions Ippon USA's services and Solutions to Fortune 1000 organizations ... A background in sales, engineering, computer science, or MIS a plus * Track record of developing ...

Seekr

Enterprise Account Executive

Reston, VA

We are seeking Enterprise Account Executives to be responsible for generating new business to ... Bachelor's Degree in Business, Marketing, Computer Science, Engineering, and/or closely related ...

Ardent Eagle Solutions

Senior Data Scientist

Arlington, VA · On-site +1

$135K - $215K/yr

Develop dashboards, reports, executive briefings, and visualizations using Power BI and other ... Master's degree (or higher) in Data Science, Computer Science, Machine Learning, Mathematics ...

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All JobsExecutive Computer Science Bioinformatics JobsExecutive Computer Science Bioinformatics Jobs in Virginia

Executive Computer Science Bioinformatics information

What is the difference between Executive Computer Science Bioinformatics vs Data Scientist?

AspectExecutive Computer Science BioinformaticsData Scientist
Required CredentialsAdvanced degrees in bioinformatics, computer science, or related fields; often with leadership experienceDegree in computer science, statistics, or related fields; certifications like Certified Analytics Professional (CAP) are common
Work EnvironmentResearch labs, biotech firms, healthcare organizations, often in leadership rolesTech companies, finance, healthcare, with focus on data analysis and modeling
Employer & Industry UsageBiotech, pharmaceuticals, healthcare industry, often in executive or strategic rolesVarious industries including tech, finance, healthcare, focusing on data insights

Executive Computer Science Bioinformatics professionals typically hold leadership roles in biotech and healthcare, focusing on strategic decision-making, while Data Scientists analyze data across multiple industries to generate insights. Both roles require strong technical skills, but their focus and work environment differ significantly.

What are the most commonly searched types of Computer Science Bioinformatics jobs in Virginia? The most popular types of Computer Science Bioinformatics jobs in Virginia are:
What cities in Virginia are hiring for Executive Computer Science Bioinformatics jobs? Cities in Virginia with the most Executive Computer Science Bioinformatics job openings:
Executive Computer Science Bioinformatics jobs near you

Data Scientist (AI/ML)

Waypoint Human Capital

Chantilly, VA • On-site

Full-time

Posted 9 days ago

Job description

Position Title: Data Scientist (AI/ML)
Position Type: Full-Time, Fully On-Site
Location: Chantilly, VA
Clearance: Active TS/SCI with CI Poly
Waypoint's client is seeking a Data Scientist (AI/ML) to join their growing team supporting a National Security customer. This role focuses on leveraging Artificial Intelligence (AI), Machine Learning (ML), advanced analytics, and data engineering to enhance cybersecurity operations, risk management, and enterprise decision-making. The selected candidate will work with large-scale datasets to develop predictive models, automate analysis, and create innovative solutions that improve cyber situational awareness and mission effectiveness.
Responsibilities
  • Develop, train, test, and deploy machine learning and artificial intelligence solutions to support cybersecurity and risk management initiatives.
  • Analyze large structured and unstructured datasets from vulnerability management, authorization, compliance, and cybersecurity tools.
  • Design predictive analytics models to identify trends, anomalies, and emerging risks.
  • Develop data pipelines and automated workflows to collect, transform, and process data from multiple sources.
  • Create interactive dashboards, visualizations, and executive-level reporting products using tools such as Tableau.
  • Apply statistical analysis, machine learning, and AI techniques to support cyber defense and operational decision-making.
  • Support development and integration of Generative AI, Large Language Models (LLMs), and advanced analytics capabilities where applicable.
  • Collaborate with cybersecurity, engineering, and risk management teams to automate data collection, reporting, and visualization processes.
  • Communicate technical findings and recommendations to both technical and non-technical stakeholders.

Required
  • Active TS/SCI clearance with CI Polygraph.
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related STEM field.
  • 5+ years of experience in Data Science, Artificial Intelligence, Machine Learning, Advanced Analytics, or related disciplines.
  • Strong proficiency in Python and experience with machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch, or SageMaker.
  • Experience developing, training, and deploying machine learning models in operational environments.
  • Strong understanding of statistics, predictive modeling, data mining, and data analysis techniques.
  • Experience working with SQL databases, data architectures, and large-scale datasets.
  • Experience with data visualization tools such as Tableau, Power BI, or similar platforms.
  • Experience transforming and processing data using Python, JSON, and related technologies.
  • Excellent written and verbal communication skills.
  • Ability to work independently and collaboratively within a mission-focused team environment.

Desired
  • Experience supporting Intelligence Community (IC) or DoD customers.
  • Experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or Natural Language Processing (NLP).
  • Experience with AWS cloud services, including SageMaker, EMR, and related AI/ML services.
  • Experience with Splunk, ServiceNow, or cybersecurity-focused data platforms.
  • Familiarity with RMF, FISMA, vulnerability management, and cybersecurity compliance frameworks.
  • Experience with Apache Hadoop, Spark, or distributed data processing environments.
  • Experience briefing senior government stakeholders and executive leadership.
  • Advanced degree in Data Science, Artificial Intelligence, Computer Science, Statistics, or related field.

Preferred Technical Skills
  • Python
  • SQL
  • Machine Learning
  • Artificial Intelligence
  • Deep Learning
  • Generative AI
  • LLMs
  • NLP
  • Tableau
  • AWS SageMaker
  • Hadoop
  • Spark
  • Splunk
  • Data Visualization
  • Predictive Analytics
  • Statistical Modeling
  • Data Engineering