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Executive Computer Science Bioinformatics Jobs in Texas

4432

Data Scientist III

Dallas, TX · On-site

Education PhD In Computer Science, Bioinformatics, (Bio)mathematics, (Bio)statistics, Physics, Electrical Engineering, or related field or Master's Degree M.S. in Computer Science, Bioinformatics ...

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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 Texas?

The most popular types of Computer Science Bioinformatics jobs in Texas are:

What cities in Texas are hiring for Executive Computer Science Bioinformatics jobs?

Cities in Texas with the most Executive Computer Science Bioinformatics job openings:

Executive Computer Science Bioinformatics jobs near you

Senior Bioinformatics Software Engineer

Houston, TX • On-site

Morpheus Group
See more jobs at Morpheus Groupexternal

Full-time

Re-posted 17 days ago

Job description

We are seeking an experienced Senior/Staff-Level Bioinformatics Software Engineer to provide technical leadership in the design, development, and enhancement of advanced bioinformatics software solutions. This role combines software engineering, computational biology, and data science expertise to support genomic data analysis, next-generation sequencing (NGS) workflows, and the development of scalable analytical platforms.
Key Responsibilities
  • Architect and develop innovative bioinformatics applications, analytical tools, and data processing solutions.
  • Lead the creation and optimization of genomic analysis pipelines focused on sequence interpretation, variant detection, and complex biological data analysis.
  • Partner with scientists, researchers, and cross-functional stakeholders to design studies, analyze results, and translate biological requirements into software solutions.
  • Drive technical strategy and contribute to architectural decisions for current and future software platforms.
  • Improve development processes through automation, best practices, and modern engineering methodologies.
  • Mentor engineering team members and serve as a technical resource across projects. Desired Qualifications
  • Strong background in bioinformatics software development with expertise in NGS data analysis and genomic workflows.
  • Experience working with common bioinformatics formats and tools, including sequencing alignment, variant analysis, and quality control frameworks.
  • Advanced programming skills in Python, R, or similar languages used in scientific computing.
  • Proficiency with Linux environments, cloud computing platforms, and workflow orchestration tools.
  • Experience with software development best practices, source control, testing methodologies, and containerized environments.
  • Excellent communication, leadership, and collaboration skills with the ability to work effectively across scientific and technical teams.

Background
  • Bachelor's degree in Computer Science, Bioinformatics, Data Science, Statistics, Mathematics, or a related field required; advanced degrees preferred.
  • Approximately 7+ years of experience in software engineering, bioinformatics, computational biology, or a related discipline, including demonstrated technical leadership.

This opportunity is ideal for a bioinformatics professional who enjoys leading complex technical initiatives, building scalable genomics solutions, and working at the intersection of software engineering and life sciences