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Bioinformatics Internships Jobs (NOW HIRING)

Oncodea

Molecular Diagnostics Associate

Saint Paul, MN · On-site

A link to code or a screenshot is welcome but not required. 5. Bioinformatics or data-science exposure Share any coursework, project, or internship where you worked with biological or clinical data ...

New York Botanical Garden

Science Intern

New York, NY · On-site

$17/hr

The Science Internship is a part-time and seasonal position during the fall and spring school ... or bioinformatics. This includes working in teams and participation in enrichment activities on ...

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How much do bioinformatics internships jobs pay per year?

As of Jun 17, 2026, the average yearly pay for bioinformatics internships in the United States is $203,468.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $400,000.00 per year, depending on experience, location, and employer.

What types of projects or tasks do bioinformatics interns typically work on?

Bioinformatics interns often work on projects such as analyzing genomic or proteomic data, developing data processing pipelines, or assisting with software tool development for biological research. They may help interpret experimental results, perform quality control on large datasets, or support ongoing research by visualizing data using specialized tools. Interns regularly collaborate with biologists, software engineers, and data scientists, gaining exposure to interdisciplinary teamwork. This hands-on experience allows interns to develop practical skills and deepen their understanding of real-world research challenges in the life sciences.

What is a Bioinformatics Internships job?

A Bioinformatics Internship is a temporary position that provides students or recent graduates with hands-on experience in analyzing biological data using computational tools. Interns may work on projects involving DNA sequencing, protein structure analysis, or developing algorithms for data processing. These positions are commonly found in research institutions, biotechnology companies, and pharmaceutical firms. The internship helps build practical skills in programming, data analysis, and biological interpretation, preparing candidates for careers in bioinformatics.

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

To thrive in a Bioinformatics Internship, you should have a strong background in biology, computer science, and statistics, often supported by coursework or a degree in bioinformatics or a related field. Familiarity with programming languages such as Python or R, experience with genomic databases, and the ability to work with bioinformatics software tools are highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills are essential soft skills for this role. These qualities enable interns to analyze complex biological data, collaborate successfully with interdisciplinary teams, and contribute meaningfully to scientific research projects.

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Bioinformatics Internships jobs near you
HudsonAlpha - Computational Biologist I - Cochran Lab

HudsonAlpha - Computational Biologist I - Cochran Lab

HudsonAlpha Institute for Biotechnology

Huntsville, AL • On-site

$66K - $75K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 21 days ago

Job description

Position: Computational Biologist I - Cochran Lab
Job Type: Full-Time
INSTITUTE OVERVIEW
The HudsonAlpha Institute for Biotechnology ( ) is a non-profit organization with the mission to use biotechnology and basic biological research to make important discoveries, improve human health, stimulate economic development, inspire young people to seek careers in science and teach members of the public the importance of science in their everyday lives. Located in Cummings Research Park in Huntsville, Alabama, one of the world's leading science and technology parks, HudsonAlpha's campus contains state-of-the-art laboratories for biological research and development, as well as education, in the areas of genomics, genetics and personalized medicine.
DEPARTMENT OVERVIEW
The J. Nicholas Cochran laboratory uses genomic approaches to answer biological questions specific to neurodegenerative diseases with an emphasis on Alzheimer's disease and other dementias. Therefore, while not required, subject area familiarity and/or interest in genetics, genomics, neuroscience, or neurodegenerative diseases is desirable. Projects include the study of gene regulation for genes implicated in neurodegeneration, novel analysis approaches for associating genetic variation with neurodegenerative diseases, and genome-wide genomics approaches relevant to neurodegeneration. Key ongoing projects related to this role include several national and international collaborations on genetic contributors to neurodegenerative diseases, including with the Multi-Partner Consortium to Expand Dementia Research in Latin America (ReDLat), the UCSF Memory and Aging Center, and the UAB Alzheimer's Disease Research Center.
POSITION SUMMARY
The Computational Biologist I combines computer science, statistics, mathematics, and engineering to analyze and interpret biological data. This position supports collaborative research efforts with experimental scientists, software engineers, and other bioinformaticians to implement computational workflows and data analysis strategies.
The Computational Biologist I uses lab-generated or publicly available data to answer specific biological questions. By applying computational methods, the Computational Biologist I is integral to processing and analyzing the large amount of data generated in or accessed by a genomics laboratory. The ideal candidate will be comfortable constructing bioinformatics pipelines that interface with internal and external resources using modern programming languages commonly employed in bioinformatics (Python, R, and bash), both locally and in high-performance computing (HPC) and cloud environments.
JOB SPECIFIC TASKS
Data Analysis & Research
  • Perform data preprocessing, quality control, and analysis using established computational workflows
  • Understand the biological science behind the laboratory projects
  • Analyze genomic and transcriptomic data from neurodegenerative disease studies
  • Process high-throughput sequencing data (RNA-seq, DNA-seq, ATAC-seq, single-cell sequencing)
  • Manage access, management, and processing for large biological datasets

Pipeline Development & Maintenance
  • Assist in maintaining bioinformatics tools and pipelines to support research initiatives
  • Construct and optimize bioinformatics workflows for genomic data analysis
  • Collaborate with senior team members to troubleshoot data-related challenges and optimize workflows
  • Implement version control practices (Git/GitHub) for collaborative code development
  • Work with workflow management systems (Snakemake, Nextflow, WDL) as appropriate

Collaboration & Communication
  • Collaborate with the research team to plan and execute computational applications
  • Communicate technical findings clearly across teams and document methods for reproducibility
  • Work with experimental biologists, clinicians, and other computational researchers
  • Present analyses at lab meetings and research forums
  • Contribute to peer-reviewed research papers

EDUCATION AND REQUIRED SKILLS EXPERIENCE
Education:
  • Bachelor's degree or master's degree in computational biology, bioinformatics, biostatistics, computer science, statistics, or related quantitative field
  • Master's degree preferred

Experience:
  • 0 to 3 years of experience in bioinformatics, computational biology, or related field
  • Experience may include postgraduate research, internships, industry positions, or significant coursework projects

Required Technical Skills:
  • Proficiency in Python and/or R and bash scripting
  • Experience with version control systems (Git/GitHub)
  • Strong understanding of bioinformatics principles and proficiency in relevant computational tools
  • Fluency with Unix/Linux command-line environments
  • Ability to function in a high-performance computing (HPC) cluster environment
  • Strong understanding of statistics and quantitative data analysis
  • Proficient with Google Workspace and collaborative tools (Zoom, Slack, etc.)

COMPENSATION & BENEFITS
  • Salary Range: $66,000 - $75,000 annually, commensurate with education and experience.

Benefits include:
  • Comprehensive health, dental, and vision insurance
  • Retirement plan with employer contribution
  • Generous paid time off
  • Professional development support
  • Access to cutting-edge computational resources and technologies

Physical Demands/Environmental Factors/Mental Functions
ADA Requirements - The physical demands, work environment factors, and mental functions described below are representative of those that must be met by an employee to successfully perform the essential function of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Disclaimer - All job requirements are subject to possible revision to reflect changes in the position requirements or to reasonably accommodate individuals with disabilities. Some requirements may exclude individuals who pose a threat or risk to the health and safety of themselves or other employees. This job description in no way states or implies that these are the only duties which will be required in this position. Employees will be required to follow other job-related duties as requested by their supervisor/manager (within guidelines and compliance with Federal and State Laws). Continued employment remains on an "at-will" basis.
Physical Demands
  • Must be able to remain in a stationary position (sit or stand) for prolonged periods (50% of the time).
  • Frequently moving between work areas.
  • Frequently moving, transporting, and positioning materials up to 30 pounds.
  • Vision abilities required by this job include close vision, distance vision, and depth perception.
  • Frequent operation of common office equipment (e.g. computers, mobile devices, calculators, copiers, scanners) and laboratory equipment.
  • Frequently position self (e.g. stoop, crouch, crawl, bend) and pull/push, grasp/squeeze, wrist flexion/extension, reach to operate and maintain laboratory equipment.

Environmental Factors
  • Exposure to chemical, mechanical and electrical hazards, and hazardous physical substances and fumes, and airborne particles.
  • Noise level in the work environment is usually moderate.

Mental Functions
  • Continuous mental and visual attention, requiring sustained attention and observation.
  • Excellent fine motor skills and hand control in order to pipette accurately.
  • Ability to sustain focus during research procedures (to maintain protocol such as order of operations).
  • Ability to visually observe results and record outcomes on lab logs and/or PC.
  • Basic computer skills are required.
  • Extensive documentation skills, good attention to detail, and exceptional organizational skills are required.
  • Communicate effectively, both orally and in writing, in the English language.
  • Requires the ability to adapt to change efficiently.
  • Ability to independently lead and conduct research, and to evaluate, interpret and present complex scientific data.
  • Capacity to work productively within functionally diverse teams as well as collaborate with external investigators and partners in academic and industrial settings.
  • Ability to prioritize issues and use sound judgment to recognize when additional consultation and/or help is needed.
  • Comfortable working on multiple projects at one time.
  • Strong logical thinking and deduction skills.
  • Ability to effectively present ideas and information in a variety of formats to a wide range of audiences.
  • Positive, flexible, and professional attitude.

It is the policy of HudsonAlpha Institute for Biotechnology, in accordance with all applicable laws, to recruit, hire, train, and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, disability, genetic information, sexual orientation, veteran status, or any other basis prohibited by applicable law.

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