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Computational Biology Internship Jobs (NOW HIRING)

Ensure effective collaboration with the Biology, and Medicinal Chemistry teams by providing key ... Relevant industry experience via internship and co-op * Publication records in computational ...

D. in Bioinformatics, Computational Biology, Data Science, Epidemiology, or a related field (0-2 ... Prior experience or internship in the pharmaceutical or biotechnology industry. * Prior experience ...

New

Scientist, Probe Design

Newark, CA · On-site

$89K - $146K/yr

PhD with 4+ years of research experience in molecular biology, bioinformatics computational biology ... internship programs, and more. * We offer employee resource groups, volunteer paid time off ...

PhD with 4+ years of research experience in molecular biology, bioinformatics computational biology ... internship programs, and more. * We offer employee resource groups, volunteer paid time off ...

Scientist, Probe Design

Newark, CA · On-site

$89K - $146K/yr

PhD with 4+ years of research experience in molecular biology, bioinformatics computational biology ... internship programs, and more. * We offer employee resource groups, volunteer paid time off ...

Scientist, Probe Design

Newark, CA · On-site

$89K - $146K/yr

PhD with 4+ years of research experience in molecular biology, bioinformatics computational biology ... internship programs, and more. * We offer employee resource groups, volunteer paid time off ...

... genome engineering, computational biology, bioinformatics, systems biology, microbiology ... internship, and collaborative research opportunities for students. This individual will complement ...

Intern

Omaha, NE · On-site

$14.25 - $19.25/hr

An internship at Bluestem isn't just about work; it's an opportunity for both you and Bluestem ... computational biology tools, or strain engineering strategies. With clear scope and deliverables ...

Intern

Omaha, NE

$14.25 - $19.25/hr

An internship at Bluestem isn't just about work; it's an opportunity for both you and Bluestem ... computational biology tools, or strain engineering strategies. With clear scope and deliverables ...

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Computational Biology Internship information

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How much do computational biology internship jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for computational biology internship in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a computational biology intern, and why are they important?

To excel as a Computational Biology Intern, you typically need a background in biology, bioinformatics, or computer science, with strong analytical and programming skills (such as Python or R). Familiarity with computational tools, data analysis software, and possibly experience with high-performance computing or genomic databases is often required. Attention to detail, effective communication, and problem-solving abilities are valuable soft skills that set top interns apart. These skills are crucial for accurately analyzing biological data, collaborating with interdisciplinary teams, and contributing to innovative scientific research.

What types of projects and collaborations can I expect during a computational biology internship?

During a Computational Biology Internship, you can expect to work on interdisciplinary projects that involve analyzing biological data using computational tools and algorithms. Interns often collaborate closely with biologists, data scientists, and software engineers to interpret data from experiments such as genomics, proteomics, or drug discovery. Typical responsibilities include writing scripts for data analysis, visualizing results, and contributing to ongoing research efforts. The work is highly collaborative and you’ll gain experience in both computational and biological problem-solving, preparing you for diverse career paths in research or industry.

What is a computational biology internship?

A Computational Biology Internship is a temporary, often student-focused position where individuals gain hands-on experience applying computer science and mathematical methods to solve biological problems. Interns typically work on projects involving data analysis, bioinformatics, genomics, or modeling biological systems using computational tools. These internships are valuable for gaining practical skills, learning about current research, and networking within the field of computational biology. Most positions require a background in biology, computer science, mathematics, or a related field, and may involve programming, data visualization, and collaboration with research teams.
More about Computational Biology Internship jobs
What cities are hiring for Computational Biology Internship jobs? Cities with the most Computational Biology Internship job openings:
What are the most commonly searched types of Computational Biology jobs? The most popular types of Computational Biology jobs are:
What states have the most Computational Biology Internship jobs? States with the most job openings for Computational Biology Internship jobs include:
Infographic showing various Computational Biology Internship job openings in the United States as of August 2026, with employment types broken down into 8% Internship, 1% As Needed, 65% Full Time, 24% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Computational Theoretical Chemist I

1910

Boston, MA • On-site

Full-time

PTO

Re-posted 14 days ago


Job description

Company Overview
We are the only AI-native biotech, pioneering small and large molecule therapeutics discovery by integrating massive multimodal data, frontier AI models, and high-throughput lab automation into an infrastructure for AI-enabled drug discovery.
We hire top 1% talent to join our interdisciplinary team of scientists, engineers, researchers, operators, innovators, drug developers, business professionals, and technologists.
Join us to build the world's first AI infrastructure for tech-enabled drug discovery and to deliver a pipeline of diverse drug modalities for all major disease areas.
Computation is revolutionizing drug discovery. Advances in big chemical data, massive computing power, artificial intelligence, and molecular dynamics simulations are changing the way we develop new drugs. At 1910 , we put computation at the heart of drug discovery, blending expertise in computational chemistry, structural biology, pharmacology, data science, and software engineering to develop drugs for previously undruggable targets.
Role Description
  • Own computational theoretical chemistry programs across therapeutic modalities, disease targets, and indications
  • Ensure effective collaboration with the Biology, and Medicinal Chemistry teams by providing key computational chemistry insights to aid in the Hit-to-Lead and Lead Optimization phases of drug discovery operations
  • Ensure effective collaboration with the ML Engineering and AI Research team by providing key computational chemistry insights to aid in the development of AI/ML models for drug discovery as well as the incorporation of those models into drug discovery operations
  • Teach key computational chemistry principles to your cross-disciplinary colleagues from Medicinal Chemistry, AI Research, Machine Learning Engineering, Cell Biology, and Pharmacology
  • Partner to improve 1910's existing process for progressing from computational hit to experimental hit to lead to drug candidate
  • Co-author provisional patents and peer-reviewed research papers
  • Validate a cellular hit in a clinically relevant animal model of disease
  • Update provisional patents with the animal model data
  • Nominate a lead candidate for progression into IND-enabling studies
  • Attend and present research at conferences and events related to computational modeling in drug discovery

Qualifications
  • Ph.D. in computational chemistry or related discipline
  • In-depth knowledge and hands-on experience with quantum chemical (QC) methods, including semi-empirical and density functional theory (DFT) approaches, molecular dynamics (MD) simulations, including both standard MD and enhanced sampling techniques such as metadynamics, umbrella sampling, and replica exchange MD, free energy simulations such as FEP and TI, and QM/MM methodologies for small and large molecular systems
  • Strong understanding of key concepts, including potential energy surfaces (PES), intermolecular and intramolecular forces/interactions, force fields, molecular properties, thermodynamic properties, solvation models (implicit/explicit), and conformational sampling
  • Proficiency in analyzing molecular properties such as solvation free energy, dipole moments, vibrational frequencies, electrostatic potential, charge distribution, and more
  • Deep knowledge of implicit and explicit solvent models, with extensive experience modeling solvent effects on molecular systems and chemical reactions in various environments
  • Extensive experience in using and troubleshooting software tools for QC calculations (e.g., ORCA, xTB, CREST, etc.), MD simulations (e.g., GROMACS, OpenMM, etc.), Drug Design Development Packages (e.g., EG, Schrodinger, MOE, CRESSET)
  • Experience working with HPC Clusters and cloud-based services like (e.g., Microsoft AZURE, AWS)
  • Ability to optimize computational simulation protocols for efficient resource usage
  • Proven experience working with small organic molecules and large biomolecular systems (e.g., peptides, proteins, etc.) for property prediction, conformational analysis, and structure-activity relationships (SAR)
  • Hands-on experience with Python and Bash scripting for automating workflows and data analysis
  • Familiarity with cheminformatics toolkits such as RDKit for molecular property prediction and data management
  • Basic knowledge of machine learning (ML) techniques applied to molecular property prediction, virtual screening, and related tasks
  • Strong desire to collaborate with AI scientists, data scientists, medicinal chemists, and biologists to interpret computational results and guide experimental design
  • Clear and effective communication of complex scientific ideas through reports, presentations, and publications

Nice to Haves
  • Relevant industry experience via internship and co-op
  • Publication records in computational chemistry related to drug discovery

#LI-Onsite
Diversity and Inclusion (1910's Promise)
At 1910, we believe that a diverse, equitable, and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. 1910 is proud to be an equal-opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. If, due to a disability, you need an accommodation during any part of the interview process, please let your recruiter know. While 1910 supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.
Benefits and Perks
  • Competitive compensation package
  • Above market benefits
  • Generous vacation and parental leave
  • Super cool team building activities
  • Great colleagues