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Bioinformatics Machine Learning Jobs in Washington

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Bioinformatics Machine Learning information

See Washington salary details

$67.4K

$107K

$169.3K

How much do bioinformatics machine learning jobs pay per year?

As of Jul 14, 2026, the average yearly pay for bioinformatics machine learning in Washington is $107,001.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,400.00 and $146,700.00 per year, depending on experience, location, and employer.

What is a Bioinformatics Machine Learning job?

A Bioinformatics Machine Learning job involves applying machine learning techniques to analyze and interpret biological data, such as genomics, proteomics, and medical records. Professionals in this field develop algorithms, build predictive models, and enhance data-driven research in areas like personalized medicine and drug discovery. They work with large datasets, applying deep learning, neural networks, and other AI methods to extract meaningful insights. The role requires expertise in biology, statistics, and programming languages like Python or R.

What are the typical daily responsibilities for someone in a Bioinformatics Machine Learning position?

In a Bioinformatics Machine Learning role, your daily tasks usually involve developing and tuning machine learning models to analyze large biological datasets, such as genomics or proteomics data. You'll collaborate closely with researchers, biologists, and data scientists to understand project goals, interpret results, and refine analytical approaches. Routine work includes coding, troubleshooting algorithms, visualizing data outputs, and documenting findings for internal teams or publication. The role often requires balancing independent analysis with teamwork and regular communication across disciplines, making it both technically challenging and highly collaborative.

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

A successful Bioinformatics Machine Learning professional needs a solid background in biology, statistics, and computer science, often backed by an advanced degree such as a Master's or PhD in bioinformatics, data science, or a related field. Proficiency with programming languages like Python or R, experience with machine learning libraries (e.g., TensorFlow, scikit-learn), and knowledge of version control systems are typical requirements, and relevant certifications can be beneficial. Strong problem-solving abilities, effective communication skills, and the capacity to work collaboratively in interdisciplinary teams set candidates apart. These skills are crucial for designing robust computational models, interpreting complex biological data, and translating findings into actionable insights in research or clinical settings.

What are the most commonly searched types of Bioinformatics Machine Learning jobs in Washington? The most popular types of Bioinformatics Machine Learning jobs in Washington are:
What are popular job titles related to Bioinformatics Machine Learning jobs in Washington? For Bioinformatics Machine Learning jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Machine Learning jobs in Washington look for? The top searched job categories for Bioinformatics Machine Learning jobs in Washington are:
Bioinformatics Machine Learning jobs near you
Infographic showing various Bioinformatics Machine Learning job openings in Washington as of July 2026, with employment types broken down into 1% Locum Tenens, 51% As Needed, 28% Full Time, 8% Part Time, 10% Nights, and 2% Summer. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $107,001 per year, or $51.4 per hour.

Senior Associate HPC AI Scientist

Publicis Groupe Holdings B.V

Arlington, VA • On-site

$145K - $165K/yr

Full-time

Medical, PTO

Posted 10 days ago

Job description

Company description
Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally-enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. As digital pioneers with 20,000 people and 53 offices around the globe, our experience spanning technology, data sciences, consulting and customer obsession - combined with our culture of curiosity and relentlessness - enables us to accelerate our clients' businesses through designing the products and services their customers truly value. Publicis Sapient is the digital business transformation hub of Publicis Groupe. For more information, visit publicissapient.com
Overview
Publicis Sapient is looking for an AI Scientist & Training Specialist to support advanced AI and machine learning initiatives within a large-scale high-performance computing (HPC) environment. In this role, you will design, deliver, and maintain hands-on deep learning and AI training programs that enable researchers and technical teams to apply modern AI techniques to complex, real-world scientific challenges. You will work in a fast-paced, highly collaborative environment alongside scientists, engineers, and system administrators, translating advanced concepts into practical, example-driven learning experiences. This role blends deep technical expertise with a passion for teaching and knowledge sharing. You will help empower researchers and technical professionals by equipping them with the skills and confidence to leverage AI, deep learning, and GPU-enabled HPC systems in support of cutting-edge scientific discovery. Your work will directly influence how advanced computational tools are adopted and applied across biomedical and life sciences research.
Responsibilities
  • Design and deliver hands-on deep learning and AI training sessions using real-world scientific and biomedical datasets
  • Develop, maintain, and continuously improve training materials, including notebooks, scripts, exercises, and technical documentation
  • Teach core deep learning concepts such as neural networks, convolutional neural networks (CNNs), model training, optimization, and evaluation
  • Support and instruct on the use of modern deep learning frameworks (e.g., PyTorch, TensorFlow, Keras) in GPU-enabled HPC environments
  • Guide users on best practices for running AI workloads on shared HPC systems, including job scheduling, performance optimization, and resource utilization
  • Collaborate with HPC and scientific computing teams to ensure training content aligns with current infrastructure, policies, and tools
  • Provide post-training support through office hours, troubleshooting, and consultation for ongoing research projects
  • Keep training curricula current with advances in AI, deep learning tooling, and evolving research priorities

Qualifications
  • Advanced degree (PhD or MD) in Computer Science, Data Science, Computational Biology, Bioinformatics, or a related discipline
  • Strong hands-on experience developing and training deep learning models
  • Practical experience working in Linux-based HPC environments, including GPU computing
  • Demonstrated experience delivering technical training, workshops, or instructional content to scientific or technical audiences
  • Excellent communication skills with the ability to explain complex technical concepts to diverse audiences

Preferred Experience
  • Experience supporting biomedical, life sciences, or federally funded research initiatives
  • Familiarity with large-scale research computing environments and HPC workflows
  • Experience building reproducible training materials using tools such as Jupyter notebooks and Git-based repositories
  • Knowledge of data management, security, and compliance considerations in regulated research environments

Additional information
  • Wellness program and employee assistance.
  • Generous paid leave and holidays.
  • Comprehensive health benefits for you and your family.
  • Flexibility to support work-life balance.
  • Competitive compensation and benefits package.
  • Access to ongoing learning and development opportunities.
  • An inclusive workplace that promotes diversity and collaboration.

Salary Range: $145,000 - $165,000
The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient. Actual range for this position may differ, depending on location and specific skillset required for the work itself.
As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at hiring@publicis.sapient.com

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