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Bioinformatics Machine Learning Internship Jobs (NOW HIRING)

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

As a member of our multidisciplinary team, you will collaborate with experts in machine learning, molecular simulation, optimization, and bioinformatics, and interface with experimentalists ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

$9.7K/wk

As a member of our multidisciplinary team, you will collaborate with experts in machine learning, molecular simulation, optimization, and bioinformatics, and interface with experimentalists ...

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Bioinformatics Machine Learning Internship information

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$25.5K

$42.6K

$88K

How much do bioinformatics machine learning internship jobs pay per year?

As of Jul 5, 2026, the average yearly pay for bioinformatics machine learning internship in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What is a Bioinformatics Machine Learning Internship?

A Bioinformatics Machine Learning Internship is a temporary position, usually for students or recent graduates, where interns gain hands-on experience applying machine learning techniques to biological data. Interns may work on projects like analyzing genomic sequences, predicting protein structure, or developing algorithms for biomedical research. The role involves coding, data analysis, and collaborating with scientists to solve real-world biological problems. It offers exposure to both computational methods and biological sciences, preparing interns for careers in bioinformatics, data science, or research.

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

To thrive as a Bioinformatics Machine Learning Intern, you need a solid background in biology, statistics, and computer science, typically supported by relevant coursework or a degree in bioinformatics, computational biology, or a related field. Familiarity with programming languages like Python or R, experience using bioinformatics tools (e.g., BLAST, Bioconductor), and knowledge of machine learning frameworks such as TensorFlow or scikit-learn are highly valued. Attention to detail, problem-solving skills, and effective communication help interns collaborate on interdisciplinary teams and interpret complex datasets. These skills ensure interns can contribute meaningfully to research projects, derive insights from biological data, and communicate findings clearly.

What are some typical projects or tasks a Bioinformatics Machine Learning Intern might work on during their internship?

As a Bioinformatics Machine Learning Intern, you'll often contribute to projects that involve developing and testing algorithms for analyzing biological data, such as genomic sequences or protein structures. Typical tasks may include preprocessing large datasets, implementing machine learning models to identify patterns or make predictions, and visualizing results for team discussions. Interns frequently collaborate with both computational scientists and experimental biologists, gaining exposure to interdisciplinary teamwork and real-world applications. This hands-on experience helps interns build both technical and domain-specific skills, preparing them for advanced roles in bioinformatics or data science.

What is the difference between Bioinformatics Machine Learning Internship vs Bioinformatics Data Analyst Internship?

AspectBioinformatics Machine Learning InternshipBioinformatics Data Analyst Internship
Required SkillsProgramming, machine learning, bioinformatics toolsData analysis, statistical skills, bioinformatics tools
Work EnvironmentResearch labs, biotech companies, academic institutionsResearch labs, healthcare, biotech firms
Industry UsageDeveloping algorithms, predictive models in bioinformaticsAnalyzing biological data, generating reports

While both internships involve bioinformatics, the Bioinformatics Machine Learning Internship focuses on developing machine learning models and algorithms, whereas the Bioinformatics Data Analyst Internship emphasizes analyzing biological data and generating insights. Both roles require programming and bioinformatics skills but differ in their core focus and application.

More about Bioinformatics Machine Learning Internship jobs
What cities are hiring for Bioinformatics Machine Learning Internship jobs? Cities with the most Bioinformatics Machine Learning Internship job openings:
What are the most commonly searched types of Bioinformatics Machine Learning jobs? The most popular types of Bioinformatics Machine Learning jobs are:
What states have the most Bioinformatics Machine Learning Internship jobs? States with the most job openings for Bioinformatics Machine Learning Internship jobs include:
What job categories do people searching Bioinformatics Machine Learning Internship jobs look for? The top searched job categories for Bioinformatics Machine Learning Internship jobs are:
Bioinformatics Machine Learning Internship jobs near you
Infographic showing various Bioinformatics Machine Learning Internship job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 71% Full Time, 20% Part Time, and 7% Nights. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Scientist III, Bioinformatics, Upstream Process Development

Scientist III, Bioinformatics, Upstream Process Development

Thermo Fisher Scientific

Grand Island, NY

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Thermo Fisher Scientific rating

7.7

Company rating: 7.7 out of 10

Based on 409 frontline employees who took The Breakroom Quiz

190th of 527 rated manufacturers

Job description

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.
DESCRIPTION:
We are seeking to hire a highly motivated Bioinformatics Scientist with hands-on experience in data-driven cell culture media design. The successful candidate will join a multi-functional team and help support and bridge small-scale cell culture with machine learning and omics data interpretation, with a particular focus on CHO and HEK cells. The aim is to generate new solutions about upstream bioprocessing to guide the development of new cell culture products that support the commercial production of novel biologic therapeutics. Working in a collaborative environment, you'll contribute to innovative projects while supporting our mission of enabling customers to make the world healthier, cleaner, and safer.

What will you do?      

  • Leverage bioinformatics tools including machine learning models and metabolic flux analysis, and implement knowledge bases to provide actionable insights for cell culture media development and bioproduction process optimization.
  • Provide bioinformatics support and manage multi-omics data integration, documentation, and report preparation for scientific services and research projects.
  • Under minimal supervision, the successful candidate will be expected to perform data analysis on experimental data, interpret analysis results, and communicate and present findings in team meetings.
  • Contribute to the development of innovative computational models and omics approaches to solve biological problems related to bioproduction processes.

How will you get here?

Education

  • MS in Bioinformatics, Computational Biology, Cell Biology, or related field (PhD is preferred)

Experience

  • At least three (3) years of related experience
  • Experience in utilizing machine learning and statistical models.
  • Experience in upstream process development including process and media optimization.
  • Experience with pathway enrichment, network analysis and multi-omics integration and interpretation.
  • Proficiency in programming languages such as Python or R

Knowledge, Skills, Abilities

  • Strong understanding of statistical inference and machine learning techniques.
  • Knowledge in molecular and cellular biology.
  • Present data for review, group discussions, and team meetings
  • Multi-task effectively and prioritize multiple projects with guidance.
  • Proven track record that could work efficiently both independently and as part of a team.
  • Excellent verbal and written communication skills.
  • Ability to analyze, interpret and summarize scientific results in a clear, concise, and accurate manner.
  • Ability to work in a cross-functional and interdisciplinary team.

Preferred Qualifications

  • Statistical Design of Experiment (DOE) experience.
  • Experience in HPLC-MS-based proteomics and metabolomics.

Compensation and Benefits

The salary range estimated for this position based in New York is $87,200.00–$116,200.00.

This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes:

  • A choice of national medical and dental plans, and a national vision plan, including health incentive programs

  • Employee assistance and family support programs, including commuter benefits and tuition reimbursement

  • At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy

  • Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan

  • Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount

For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards

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