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Internship Antibody Jobs (NOW HIRING)

Bio-Techne Corp.

$88 - $144/hr

Own the Spatial Biology antibody portfolio strategy across short-, mid-, and long-term horizons ... internship programs, and more.* ### We offer employee resource groups, volunteer paid time off ...

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How much do internship antibody jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for internship antibody in the United States is $15.54, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $17.55 per hour, depending on experience, location, and employer.

What is an internship antibody?

An Internship Antibody position typically refers to an internship role focused on research and development involving antibodies in a laboratory or biotechnology setting. Interns in this role may assist with experiments, data analysis, and documentation related to antibody production, purification, or characterization. This position is ideal for students or recent graduates in biology, biotechnology, or related fields who want hands-on experience in immunology or therapeutic research. The internship provides valuable exposure to laboratory techniques and the biopharmaceutical industry.

What types of projects and responsibilities can I expect during an antibody research internship?

As an Antibody Research Intern, you can expect to assist with experiments involving antibody generation, characterization, and analysis. Typical tasks may include cell culture, ELISA assays, data collection, and literature reviews, often under the close supervision of senior scientists. You’ll also have opportunities to participate in group meetings, present findings, and collaborate with interdisciplinary teams in a laboratory setting. This hands-on experience will help you develop important technical skills and gain exposure to the drug discovery or biotechnology workflow.

What are the key skills and qualifications needed to thrive as an antibody research intern, and why are they important?

To excel as an Antibody Research Intern, you generally need a background in life sciences, knowledge of immunology, and laboratory experience, often supported by coursework or a degree in biology, biochemistry, or related fields. Familiarity with techniques like ELISA, Western blotting, and software for data analysis is typically required. Attention to detail, teamwork, and strong problem-solving abilities are valuable soft skills in this role. These qualifications and skills are crucial for conducting accurate experiments, ensuring reliable results, and contributing effectively to research projects.

What is the difference between Internship Antibody vs Laboratory Technician?

AspectInternship AntibodyLaboratory Technician
Required CredentialsTypically pursuing or recent graduate in biology, biochemistry, or related fieldAssociate's or Bachelor's degree in laboratory sciences or related field
Work EnvironmentResearch labs, biotech companies, academic institutionsClinical, research, or industrial laboratories
Employer & Industry UsageBiotech firms, research institutions, pharmaceutical companiesHospitals, research labs, biotech and pharmaceutical industries

Internship Antibody roles are often entry-level positions for students or recent graduates gaining experience in antibody research and development. Laboratory Technicians perform routine lab tasks, including sample preparation and testing, often requiring more formal education. While both work in laboratory settings within biotech and research industries, Internship Antibody positions focus on learning and assisting in antibody-related projects, whereas Laboratory Technicians handle day-to-day lab operations.

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Internship Antibody jobs near you
Infographic showing various Internship Antibody job openings in the United States as of August 2026, with employment types broken down into 12% Internship, 58% Full Time, 27% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $32,333 per year, or $15.5 per hour.

AI Scientist Intern, Computational Protein Design

F-Prime Capital

California, MO • On-site

$112 - $167/hr

Other

Posted 2 days ago

New

Job description

About Xaira Therapeutics

Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets. It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification. Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development. Xaira is headquartered in the San Francisco Bay Area, Seattle, and London.

About the Role

As an AI Scientist Intern on our Computational Protein Design team, you will work alongside talented scientists and engineers developing generative AI models for protein and antibody therapeutic design. During your internship, you will contribute to advancing state-of-the-art machine learning models for biology, with a focus on impacting protein/antibody design and drug discovery. You will also have the opportunity to collaborate with interdisciplinary experts in biology, drug discovery, and clinical research.

Responsibilities
  • Develop and apply deep learning methods for protein/antibody structure, sequence, or property modeling, under the guidance and mentorship of experienced scientists and engineers
  • Implement and train models on GPUs using PyTorch
  • Contribute to ongoing research projects involving protein structure, sequence, or biophysical/affinity datasets
  • Participate in discussions to help generate innovative ideas for advancing AI methodologies in computational protein design
  • Document findings and communicate progress effectively to peers and mentors
Qualifications
  • Currently pursuing a MS or PhD in Computer Science, Machine Learning, or a related technical field, with strong publication record
  • Hands-on experience with PyTorch and training/inference of AI models on GPUs
  • Strong interest in AI innovation and its applications to interdisciplinary fields such as biology and chemistry
  • Extensive hands-on experience with deep learning methods and frameworks
  • Ability to work collaboratively in a team environment and learn from experienced mentors
  • A scientifically curious mindset with a passion for exploring new challenges
  • Experience with large-scale distributed training and inference is a plus
  • Exposure to molecular structure or biological sequence data or computational biology/bioinformatics is a plus, but not required
  • Prior research experience demonstrated through publications and/or significant open source code authorship
  • Interest in contributing to open-source deep learning libraries and frameworks is a plus
Internship Duration

3 months

The expected monthly compensation range is $10,000-$15,000, depending on experience and qualifications. We are open to higher compensation for candidates with exceptional experience or impact.

This internship is designed to provide a unique learning experience, offering hands-on exposure to the intersection of AI and computational protein design while allowing you to contribute meaningfully to real-world projects.

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