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Seasonal Computer Science Bioinformatics Jobs (NOW HIRING)

Saint Louis University

... Science, beginning Fall 2026 . Appointment rank is open and will be commensurate with experience ... bioinformatics, computer networking, computer vision, graphics and Virtual Reality, high ...

Active Motif Inc

Bioinformatics Scientist

Carlsbad, CA · On-site

$95K - $125K/yr

MS or PhD in Bioinformatics, Computational Biology, Genomics, Computer Science, Statistics, or related field. * Minimum 2 years of post-graduate academic or industry experience in bioinformatics or ...

Nationwide Children's Hospital

PhD in Bioinformatics, Computational Biology, Computer Science, Biology, Genetics, or related field, required. Skills: * Must have diverse computational and biological expertise. * Must have ...

Goldbelt Apex

Bioinformatician

Atlanta, GA · On-site

Master's degree in Computer Science, Bioinformatics, Computational Biology, Life Sciences, Public Health, or related field * Proficiency with Microsoft Office Suite (Word, Excel, PowerPoint) * Core ...

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How much do seasonal computer science bioinformatics jobs pay per hour?

As of May 29, 2026, the average hourly pay for seasonal computer science bioinformatics in the United States is $45.82, according to ZipRecruiter salary data. Most workers in this role earn between $36.06 and $49.04 per hour, depending on experience, location, and employer.

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

To thrive as a Seasonal Computer Science Bioinformatics professional, you need foundational knowledge in computer science, biology, and statistics, often supported by coursework or a degree in bioinformatics or a related field. Experience with bioinformatics tools (such as BLAST, Bioconductor, or Galaxy), programming languages (like Python, R, or Perl), and familiarity with databases are typically required. Strong analytical thinking, attention to detail, and effective communication help you interpret complex data and collaborate with interdisciplinary teams. These skills are crucial for efficiently analyzing biological datasets and contributing valuable insights during short-term research projects.

What types of projects can a Seasonal Computer Science Bioinformatics employee expect to work on, and how do these projects contribute to the team's goals?

As a Seasonal Computer Science Bioinformatics employee, you may be involved in projects such as developing data analysis pipelines, assisting with genomic data processing, and creating visualization tools to interpret biological datasets. These tasks are often collaborative, requiring you to work closely with biologists, data scientists, and other software engineers to ensure that computational solutions meet research objectives. Contributing to these projects helps the team accelerate biological discovery and improve the understanding of complex data, making your work both impactful and intellectually rewarding.

What is a Seasonal Computer Science Bioinformatics job?

A Seasonal Computer Science Bioinformatics job is a temporary position, often aligned with academic breaks or project timelines, where individuals apply computer science principles to solve biological data challenges. These roles typically involve tasks such as analyzing genomic data, developing bioinformatics tools, or supporting research teams during peak periods. Seasonal positions are common in research labs, biotech companies, and academic institutions, providing hands-on experience in the intersection of biology, computer science, and data analysis. It's an excellent opportunity for students or early-career professionals to gain relevant skills and contribute to scientific discoveries.

What is the difference between Seasonal Computer Science Bioinformatics vs Data Analyst?

AspectSeasonal Computer Science BioinformaticsData Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, healthcare, biotech companies, academic institutionsBusiness, finance, healthcare, tech companies
Industry UsagePrimarily in healthcare, biotech, research projectsAcross various industries including finance, marketing, healthcare
Search & Comparison IntentUnderstanding roles in bioinformatics, seasonal opportunities, required skillsComparing data analysis roles, seasonal work, skill requirements

Seasonal Computer Science Bioinformatics roles focus on analyzing biological data, often in healthcare or research settings, requiring bioinformatics-specific skills. Data Analysts work across industries analyzing data to inform business decisions. While both roles involve data handling, their industry focus and skill sets differ, especially in seasonal contexts.

What cities are hiring for Seasonal Computer Science Bioinformatics jobs? Cities with the most Seasonal Computer Science Bioinformatics job openings:
What are the most commonly searched types of Computer Science Bioinformatics jobs? The most popular types of Computer Science Bioinformatics jobs are:
What states have the most Seasonal Computer Science Bioinformatics jobs? States with the most job openings for Seasonal Computer Science Bioinformatics jobs include:
Seasonal Computer Science Bioinformatics jobs near you
Sr. Bioinformatics ML/AI Engineer

Sr. Bioinformatics ML/AI Engineer

Baylor Genetics

Houston, TX • On-site

Full-time

Posted 8 days ago

Job description

Job Summary:
Baylor Genetics is a company specializing in genetic testing and bioinformatics solutions. They are seeking a seasoned machine learning and AI application engineer to develop and support their next-generation bioinformatics ML/AI platform, focusing on genomic and clinical data modeling and application development.
Responsibilities:
• Serves as the SME in Bioinformatics ML/AI application development in a clinical genetic testing setting. Provides hands-on support towards building the company’s next-generation bioinformatics ML/AI platform
• Designs, develops, evaluates, and deploys state-of-the-art ML/AI solutions to gain valuable data insights based on the genetical, phenotypical, and clinical datasets
• Evaluates, adopts, and customizes GenAI models based on both internal and external datasets to enhance the overall performance of the genetic testing workflow
• Supports both internal and external data requirements by leveraging AI/ML and GenAI capabilities to keep up with the increasing demands of the business
• Collaborates in a multidisciplinary and regulated clinical diagnostics environment with geneticists, bioinformaticians, software engineers, and IT infrastructure professionals
Qualifications:
Required:
• Master's or higher degree in Computer Engineering, Data Science, Bioinformatics, Machine Learning, and Data modeling, or related field with five (5) years of experience in genomic data analysis and application development.
• Hands-on experience in clinical bioinformatics pipeline development, including secondary/tertiary analysis, variant interpretation and classification pipeline R&D, and automated report generation
• Hands-on experience in human genetics/multi-omics data modeling and application development, especially in next-generation sequencing data
• Hands-on experience in machine learning framework (such as Huggingface, TensorFlow)
• Hands-on experience in automated and scalable AI/GenAI application evaluation, development, and deployment.
• Hands-on experience in RAG AI framework
• Hands-on experience with scripting languages, such as Bash and Python
• Strong experience in cloud platform (Azure) and data services (data lakehouse/data warehouse)
• Experience in context-aware OCR
• Experience in databases, including SQL and NoSQL
• Familiarity with advanced data visualization techniques
• Strong curiosity and the ability to learn quickly and adapt to a fast-changing environment
Preferred:
• DevOps experience such as unit testing, CI/CD is a plus.
Company:
Baylor Genetics offers a full spectrum of cost-effective, genetic testing, and provides clinically relevant solutions. Founded in 1978, the company is headquartered in Houston, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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