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Bioinformatic Internship Jobs (NOW HIRING)

Science Intern

New York, NY ยท 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 ...

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 ...

Scientist, Probe Design

Newark, CA ยท On-site

$89K - $146K/yr

Familiarity with standard bioinformatics tools (Python, R, or equivalent), and a programming ... internship programs, and more. * We offer employee resource groups, volunteer paid time off ...

Scientist, Probe Design

Newark, CA ยท On-site

$89K - $146K/yr

Familiarity with standard bioinformatics tools (Python, R, or equivalent), and a programming ... internship programs, and more. * We offer employee resource groups, volunteer paid time off ...

... and bioinformatics questions * Keep up-to-date on cutting-edge research in the AI for drug ... Relevant industry experience via internship and co-op (AI, Drug Discovery, etc.) #LI-Onsite

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Bioinformatic Internship information

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How much do bioinformatic internship jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for bioinformatic internship in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is the difference between Bioinformatic Internship vs Bioinformatics Technician?

AspectBioinformatic InternshipBioinformatics Technician
Required CredentialsTypically pursuing or recent graduate in bioinformatics, biology, or related fieldsAssociate's or bachelor's degree in bioinformatics, biology, or related areas
Work EnvironmentResearch labs, academic institutions, biotech companies, often temporary or part-timeLaboratories, research facilities, industry settings, full-time roles
Employer & Industry UsageInternships offered by universities, research institutes, biotech firms for trainingFull-time technical staff supporting bioinformatics analysis and data management

In summary, a Bioinformatic Internship is a temporary, training-focused position for students or recent graduates, while a Bioinformatics Technician is a full-time role requiring more experience and responsibility in supporting bioinformatics workflows within research or industry settings.

What types of projects can I expect to work on during a bioinformatics internship, and how collaborative is the typical work environment?

During a bioinformatics internship, you can expect to work on projects such as analyzing genomic datasets, developing or optimizing computational tools, and assisting with data visualization and interpretation for ongoing research studies. The work environment is often highly collaborative, involving close interactions with both computational scientists and laboratory researchers. Interns frequently participate in team meetings, present findings, and may contribute to publications or reports. This exposure provides valuable experience in both technical and cross-disciplinary communication, which is essential for a future in the field.

What is a bioinformatics internship?

A bioinformatics internship is a temporary position that allows students or early-career professionals to gain hands-on experience in the field of bioinformatics. Interns typically work on projects that involve analyzing biological data using computational tools, programming languages, and statistical methods. These internships may be offered by universities, research institutes, or biotechnology companies and provide valuable exposure to real-world applications of bioinformatics. Interns often collaborate with researchers and gain skills that are important for careers in genomics, data science, and computational biology.

What are the key skills and qualifications needed to thrive as a Bioinformatics Intern, and why are they important?

To thrive as a Bioinformatics Intern, you need a solid background in biology, statistics, and computer science, often supported by coursework or a degree in bioinformatics or a related field. Familiarity with programming languages such as Python or R, experience with bioinformatics tools (e.g., BLAST, Galaxy), and basic knowledge of databases like NCBI or Ensembl are typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and collaborate with interdisciplinary teams. These skills are vital for accurately analyzing complex biological data and contributing meaningful insights in research environments.
More about Bioinformatic Internship jobs
What cities are hiring for Bioinformatic Internship jobs? Cities with the most Bioinformatic Internship job openings:
What are the most commonly searched types of Bioinformatic jobs? The most popular types of Bioinformatic jobs are:
What states have the most Bioinformatic Internship jobs? States with the most job openings for Bioinformatic Internship jobs include:
HudsonAlpha - Computational Biologist I - Cochran Lab

HudsonAlpha - Computational Biologist I - Cochran Lab

HudsonAlpha Institute for Biotechnology

Huntsville, AL โ€ข On-site

$66K - $75K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 hours 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.