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Full Time Computer Science Bioinformatics Jobs in Virginia

Requirements: * BS in data science, machine learning, computer science, statistics, or related ... Full time/Part time Full time Pay Basis Salary More Information: * Please visit "Why Carnegie ...

Bachelor's Degree in technical discipline such as Computer Engineeringor Computer Science. Experience : Ten (10) years of full-time professional experience in computer programming in a complex ...

... Type Full-Time Career Level Staff Education Master's Degree Travel Security Clearance Required ... Computer software engineers apply the principles and techniques of computer science, engineering ...

$155K/yr

Engineering Time Type: Full time Minimum Clearance Required to Start: Secret Employee Type: Regular ... A minimum 4-year STEM degree (Science, Technology, Engineering and Mathematics) required for this ...

Associate Data Scientist

Arlington, VA

$67K - $68K/yr

Requirements: * BS in data science, machine learning, computer science, statistics, or related ... Full time/Part time Full time Pay Basis Salary More Information: * Please visit "Why Carnegie ...

Senior Computer Engineer

Chesapeake, VA · On-site

$119K - $156K/yr

... Type Full-Time Career Level Staff Education Master's Degree Travel Security Clearance Required ... Computer software engineers apply the principles and techniques of computer science, engineering ...

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Full Time Computer Science Bioinformatics information

What are the key skills and qualifications needed to thrive as a Full Time Computer Science Bioinformatics professional, and why are they important?

To thrive as a Full Time Computer Science Bioinformatics professional, you need a solid background in computer science, biology, and statistics, usually supported by a degree in bioinformatics, computer science, or a related field. Proficiency in programming languages like Python, R, and experience with bioinformatics tools and databases such as BLAST, Bioconductor, and NCBI are typically required. Strong problem-solving abilities, analytical thinking, and effective communication skills help you collaborate with interdisciplinary teams and interpret complex biological data. These skills and qualities are vital for developing innovative computational solutions that advance biological research and healthcare applications.

What types of interdisciplinary collaboration are common in a Full Time Computer Science Bioinformatics role?

In a Full Time Computer Science Bioinformatics position, professionals frequently collaborate with biologists, statisticians, and clinicians to interpret complex biological data. You’ll often work on cross-functional teams, contributing your computational expertise to projects such as genomic analysis, drug discovery, or clinical data interpretation. Effective communication is key, as you'll need to translate technical findings for team members with diverse backgrounds. This collaborative environment not only enriches problem-solving but also broadens your professional network and skill set.

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

AspectFull Time Computer Science BioinformaticsFull Time Data Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fieldsBachelor's or Master's in Data Science, Statistics, Computer Science
Work EnvironmentResearch labs, healthcare, biotech companiesTech firms, finance, healthcare, consulting
Industry UsageBiotech, pharmaceuticals, academiaTechnology, finance, marketing
Common Search IntentBioinformatics roles, computational biology jobsData analysis, machine learning roles

Full Time Computer Science Bioinformatics focuses on applying computational techniques to biological data, often in healthcare or research settings. Full Time Data Scientist emphasizes analyzing large datasets across various industries. While both roles require programming skills and data analysis expertise, bioinformatics is specialized in biological applications, whereas data science covers broader sectors.

What are full time computer science bioinformatics jobs?

Full time computer science bioinformatics jobs involve using computational and analytical methods to solve biological and biomedical problems. Professionals in these roles develop and apply software tools, algorithms, and databases to analyze biological data, such as DNA sequences, protein structures, and gene expression profiles. These positions typically require strong programming skills, knowledge of biology, and expertise in data analysis. Full time roles may be found in academic research, biotechnology companies, pharmaceutical firms, and healthcare organizations.
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 Full Time Computer Science Bioinformatics jobs? Cities in Virginia with the most Full Time Computer Science Bioinformatics job openings:

$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 highperformance computing (HPC) environment. In this role, you will design, deliver, and maintain handson deep learning and AI training programs that enable researchers and technical teams to apply modern AI techniques to complex, realworld scientific challenges. You will work in a fastpaced, highly collaborative environment alongside scientists, engineers, and system administrators, translating advanced concepts into practical, exampledriven 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 GPUenabled HPC systems in support of cuttingedge 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 handson deep learning and AI training sessions using realworld 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 GPUenabled 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 posttraining 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 handson experience developing and training deep learning models
  • Practical experience working in Linuxbased 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 largescale research computing environments and HPC workflows
  • Experience building reproducible training materials using tools such as Jupyter notebooks and Gitbased 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

Employment Type: FULL_TIME