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Paid biology and computational Internships

Hiba Therapeutics Inc., Cambridge, MA, United States


Wet lab – Biology Internship This is an on-site internship role for a Wet Lab Intern based in Cambridge, MA. The intern will assist in laboratory experiments, prepare and handle biological samples, maintain lab equipment, and ensure proper documentation of results. Additional responsibilities include supporting research projects, analyzing data, and working collaboratively with team members to advance the company’s immunotherapy initiatives.

Proficiency in lab techniques such as pipetting, sample preparation, and basic cell culture

Experience with data analysis, documentation, and maintaining laboratory logs

Understanding of biology, immunology, or biochemistry principles

Strong attention to detail and ability to follow protocols and procedures

Effective written and verbal communication skills for documenting and discussing findings

Capability to collaborate in a team-oriented research environment

Pursuing or holding a degree in Biology, Biochemistry, Biotechnology, or a related field

Familiarity with cancer biology or immunotherapy research is a plus

Computational Internship This is a hybrid internship role based in Cambridge, MA, with opportunities for remote work. As a Computational Intern at Hiba Therapeutics, you will support our research and development efforts by performing data analysis, developing computational models, and contributing to the advancement of our innovative therapies. Day-to-day tasks will include processing and visualizing biological datasets, assisting in algorithm development, and collaborating closely with researchers to draw meaningful conclusions.

Proficiency in programming languages such as Python, R, or MATLAB for computational tasks

Experience with data analysis, data visualization, and statistical modeling

Strong understanding of AI and machine learning, bioinformatics, or computational biology methodologies

Ability to work independently while collaborating effectively in a team setting

Pursuing or completed a degree in Computational Biology, Bioinformatics, Computer Science, Applied Mathematics, or a related field

Familiarity with cancer biology or immunology is a plus

Strong analytical problem-solving and communication skills

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