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Internship Bioinformatics Software Engineer Jobs in Memphis, TN

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Software Engineering Roles at Danaher Are you passionate about building real-world ...

By submitting your interest, you'll be among the first to know when internship opportunities open ... About Software Engineering Roles at Danaher Are you passionate about building real-world ...

About Automation Engineering Roles at Danaher Are you energized by solving technical problems ... internship start * Experience with hands-on lab testing and technical documentation (e.g., lab ...

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Internship Bioinformatics Software Engineer information

See Memphis, TN salary details

$13

$24

$37

How much do internship bioinformatics software engineer jobs pay per hour?

As of May 28, 2026, the average hourly pay for internship bioinformatics software engineer in Memphis, TN is $24.69, according to ZipRecruiter salary data. Most workers in this role earn between $20.10 and $28.03 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Bioinformatics Software Engineer, and why are they important?

To thrive as an Internship Bioinformatics Software Engineer, you need a foundational understanding of programming (often in Python, R, or Java), basic knowledge of molecular biology or genomics, and current pursuit of a degree in bioinformatics, computer science, or a related field. Familiarity with bioinformatics tools (such as BLAST, Bioconductor, or Galaxy), version control systems like Git, and experience analyzing biological datasets are typically expected. Strong problem-solving abilities, attention to detail, and effective communication skills help interns collaborate and learn in multidisciplinary teams. These skills and qualities ensure interns can contribute to meaningful research, adapt quickly to new technologies, and facilitate teamwork in complex scientific environments.

What types of projects do Internship Bioinformatics Software Engineers typically work on, and how do these projects contribute to their professional development?

Internship Bioinformatics Software Engineers often work on projects involving the development and optimization of software tools for analyzing large biological datasets, such as genomic sequences or protein structures. These projects frequently require collaboration with biologists and data scientists, offering valuable exposure to interdisciplinary teamwork. Interns may be tasked with writing code, testing algorithms, or visualizing data, all of which build practical skills in both software engineering and bioinformatics. This hands-on experience not only enhances technical proficiency but also helps interns better understand real-world applications in life sciences, setting a strong foundation for future career growth.

What does an Internship Bioinformatics Software Engineer do?

An Internship Bioinformatics Software Engineer assists in developing and maintaining software tools used to analyze biological data, such as DNA sequences or protein structures. They often work under the supervision of senior engineers and scientists to write code, troubleshoot issues, and implement algorithms for biological research. Interns may also help process large datasets, visualize results, and collaborate with interdisciplinary teams. This role provides hands-on experience in both software development and the application of computational methods to biological problems.

What is the difference between Internship Bioinformatics Software Engineer vs Bioinformatics Data Analyst?

AspectInternship Bioinformatics Software Engineer
Required CredentialsEnrolled in or recent graduate of Computer Science, Bioinformatics, or related fields
Work EnvironmentResearch labs, biotech companies, or academic institutions
Employer & Industry UsageUsed in biotech, pharmaceutical, and research organizations for software development
Common Search & ComparisonCompared for entry-level software development roles in bioinformatics

While both roles involve working with biological data, an Internship Bioinformatics Software Engineer focuses on developing software tools and algorithms, often requiring programming skills and software development knowledge. A Bioinformatics Data Analyst primarily analyzes biological data, using statistical and data visualization tools. The internship provides hands-on experience in coding and software creation, whereas a data analyst role emphasizes data interpretation and reporting.

What are the most commonly searched types of Bioinformatics Software Engineer jobs in Memphis, TN? The most popular types of Bioinformatics Software Engineer jobs in Memphis, TN are:
What cities near Memphis, TN are hiring for Internship Bioinformatics Software Engineer jobs? Cities near Memphis, TN with the most Internship Bioinformatics Software Engineer job openings:
Bioinformatics Research Scientist (TIRTL Collaborative Center)

Bioinformatics Research Scientist (TIRTL Collaborative Center)

St. Jude Children's Research Hospital

Memphis, TN • On-site

Full-time

Posted 12 days ago


St. Jude Children's Research Hospital rating

8.4

Company rating: 8.4 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

60th of 989 rated hospitals


Job description

Job Summary:
St. Jude Children's Research Hospital is focused on advancing research in cancer immunology and infectious disease. They are seeking a Bioinformatics Research Scientist to develop and maintain computational pipelines for high-throughput immune repertoire sequencing and antibody discovery, collaborating closely with experimental scientists and data science teams.
Responsibilities:
• Independently perform basic and advanced level statistical analysis, algorithm implementation, programming from a variety of biotechnology platforms, and oversee quality check.
• Design and prepare materials and courses for training on various bioinformatics software and databases, computing, data mining, and analysis.
• Act as a liaison between end-users, software developers, system designers, and different departments.
• Establish protocols or best practices for common research tasks and SOP, evaluate products and solutions to make recommendations, and integrate solutions.
• Lead the development, implementation, installation, and maintenance of databases; coordinate data collection, database implementation, and usage and any hardware and software related to database collection.
• Develop programs to assist in the analysis of data within the databases.
• Assist in planning, coordinating, and organizing projects across departments and delegate tasks based on priority, expertise, and capacity.
• Perform other duties as assigned to meet the goals and objectives of the department and institution.
• Maintains regular and predictable attendance.
• Develop and maintain bioinformatics pipelines for TCR and BCR repertoire sequencing.
• Perform and oversee data QC, statistical analysis, and interpret repertoire datasets.
• Integrate immune repertoire data with clinical metadata and other multi-omics datasets.
• Document and maintain workflows and databases to ensure reproducibility, scalability, and long-term data and code reuse.
• Support infectious disease and host–microbe interaction studies, with emphasis on B cell responses and antibody discovery.
• Support immuno-oncology projects, including analysis of tumor-infiltrating lymphocytes and integration with tumor genomic and clinical data.
• Collaborate with investigators and serve as a technical liaison between wet-lab, clinical, and computational teams.
• Contribute to continuous improvement and expansion of TIRTL analytical capabilities.
Qualifications:
Required:
• Bachelor's degree in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry) or related field.
• Minimum Requirement: Bachelor's degree with 6+ years of relevant post-degree work in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry).
• Experience Exception: Master's degree with 4+ years of relevant post-degree experience (OR) PhD with no experience.
• Experience in at least one programming or scripting language and at least one statistical package, with R preferred.
• Significant experience in at least one programming or scripting language and at least one statistical package, with python/R preferred.
• Strong experience with high-throughput sequencing data analysis.
• Experience with Linux, hpc environments, version control and workflow systems.
• Independently perform basic and advanced level statistical analysis, algorithm implementation, programming from a variety of biotechnology platforms, and oversee quality check.
• Design and prepare materials and courses for training on various bioinformatics software and databases, computing, data mining, and analysis.
• Act as a liaison between end-users, software developers, system designers, and different departments.
• Establish protocols or best practices for common research tasks and SOP, evaluate products and solutions to make recommendations, and integrate solutions.
• Lead the development, implementation, installation, and maintenance of databases; coordinate data collection, database implementation, and usage and any hardware and software related to database collection.
• Develop programs to assist in the analysis of data within the databases.
• Assist in planning, coordinating, and organizing projects across departments and delegate tasks based on priority, expertise, and capacity.
• Perform other duties as assigned to meet the goals and objectives of the department and institution.
• Maintains regular and predictable attendance.
• Develop and maintain bioinformatics pipelines for TCR and BCR repertoire sequencing.
• Perform and oversee data QC, statistical analysis, and interpret repertoire datasets.
• Integrate immune repertoire data with clinical metadata and other multi-omics datasets.
• Document and maintain workflows and databases to ensure reproducibility, scalability, and long-term data and code reuse.
• Support infectious disease and host–microbe interaction studies, with emphasis on B cell responses and antibody discovery.
• Support immuno-oncology projects, including analysis of tumor-infiltrating lymphocytes and integration with tumor genomic and clinical data.
• Collaborate with investigators and serve as a technical liaison between wet-lab, clinical, and computational teams.
• Contribute to continuous improvement and expansion of TIRTL analytical capabilities.
Preferred:
• Experience with immune repertoire analysis (BCR and/or TCR).
• Familiarity with tools and methods for BCR clonotyping, somatic hypermutation analysis, lineage reconstruction, or antigen-driven selection.
• Background in cancer immunology, infectious disease, or antibody discovery.
• Master's degree or PhD preferred.
Company:
St. Founded in 1962, the company is headquartered in Memphis, USA, with a team of 5001-10000 employees. The company is currently Late Stage.