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Computational Drug Intern Jobs (NOW HIRING)

Ametek

Optical Systems Intern

Exton, PA · Hybrid

$14.50 - $19.25/hr

... in handson experimental and computational activities that directly support core technology ... We are a drug-free workplace with pre-employment drug screening. Join us. Become part of a dynamic ...

Nanite Inc.

Machine Learning Engineer

Boston, MA · On-site

... drug delivery. The research intern will be in a fast-paced start-up environment playing a crucial ... Experience with cheminformatics, computational chemistry, computational biology databases, data ...

Nanite Inc.

Machine Learning Engineer

Boston, MA · On-site

... drug delivery. The research intern will be in a fast-paced start-up environment playing a crucial ... Experience with cheminformatics, computational chemistry, computational biology databases, data ...

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Computational Drug Intern information

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

To thrive as a Computational Drug Intern, you need a solid background in chemistry, biology, and computational modeling, usually supported by coursework in bioinformatics, cheminformatics, or related fields. Familiarity with molecular modeling software (such as Schrödinger or AutoDock), programming languages like Python or R, and data analysis platforms is typically required. Attention to detail, problem-solving skills, and the ability to communicate complex findings clearly are valuable soft skills. These competencies are crucial for effectively contributing to drug discovery projects and collaborating within multidisciplinary research teams.

What are some common challenges faced by a Computational Drug Intern, and how can they be addressed?

Computational Drug Interns often encounter challenges such as interpreting complex biological data, staying updated with new computational tools, and bridging the gap between theoretical modeling and practical drug discovery. To address these issues, interns should actively seek guidance from mentors, participate in team discussions, and make use of available training resources. Collaborating closely with both computational scientists and experimental teams can also help interns gain a well-rounded perspective and overcome technical hurdles.

What does a Computational Drug Intern do?

A Computational Drug Intern assists in the drug discovery process by applying computer-based techniques to analyze biological data and predict how potential drug molecules will interact with biological targets. Their responsibilities typically include running simulations, processing large datasets, and using software tools to model molecular structures. They often collaborate with scientists and researchers to interpret results and guide experimental efforts. This internship provides hands-on experience in fields such as cheminformatics, bioinformatics, and molecular modeling.
Infographic showing various Computational Drug Intern job openings in the United States as of May 2026, with employment types broken down into 4% Internship, 5% Full Time, 90% Part Time, and 1% Temporary. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution.
2026 Fall Intern - Translational Medicine Oncology

2026 Fall Intern - Translational Medicine Oncology

Genentech

South San Francisco, CA

$40 - $50/hr

Full-time

PTO

Posted 4 days ago

Genentech rating

9.0

Company rating: 9.0 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

7th of 71 rated pharmaceutical

Job description

2026 Fall Intern - Translational Medicine Oncology

Department Summary

We are looking for a skilled and enthusiastic intern to join our vibrant team in Translational Medicine Oncology at Genentech's Research & Development division (gRED). The chosen candidate will immerse themselves in a cross-functional environment that bridges Translational Medicine, Computational Sciences Biology, Technology Innovation and Clinical Sciences. Their focus will be on investigating drug mechanisms of action and resistance in colon cancer through the analysis and interpretation of mouse and human genomic data from implanted tumors in mice and matched primary and metastatic tumors from humans.

This internship position is located in South San Francisco, on-site.

The Opportunity

  • Drive a scientific and analytical translational research project in the field of targeted therapy for colon cancer, mentored by a community of scientific experts in oncology, computational biology, and translational research.

  • Dive into clinical and transcriptomics/genomics data from both mouse studies and clinical trial patients to investigate tumor biology, accelerating translational research with the potential to discover novel biomarkers predictive of response and/or resistance to treatment.

  • Gain visibility into late-stage, global drug development programs that incorporate a personalized healthcare strategy.

  • Interact with key cross-functional groups including Clinical Sciences, gRED Computational Sciences (gCS), Operational Diagnostics Technology (ODT) team, and Biostatics team.

Program Highlights

  • Intensive 12-weeks, full-time (40 hours per week) paid internship.

  • Program start dates are in September (Fall).

  • A stipend, based on location, will be provided to help alleviate costs associated with the internship.

  • Ownership of challenging and impactful business-critical projects.

  • Work with some of the most talented people in the biotechnology industry.

Who You Are (Required)

Required Education

You meet one of the following criteria:

  • Must be pursuing a Master's Degree (enrolled student).

  • Must be pursuing a PhD (enrolled student).

Required Majors: Bioinformatics, Computational Biology, Molecular Biology, or related field.

Required Skills:

  • Competent in computational data analysis programs (i.e. R, Python).

  • Possess strong analytical and critical thinking skills, able to work cross functionally and collaborate with key stakeholders.

  • Have a basic understanding of cancer biology and/or related molecular mechanisms in biology.

  • Effective in conveying information with attention to detail and the ability to present to varied audiences.

Preferred Knowledge, Skills, and Qualifications:

  • Excellent communication, collaboration, and interpersonal skills.

  • Complements our culture and the standards that guide our daily behavior & decisions: Integrity, Courage, and Passion.

  • Experience in transcriptomics or genomics data analysis.

Relocation benefits are not available for this job posting.

The expected salary range for this position based on the primary location ofCalifornia is $40.00-$50.00 per hour.Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. This position also qualifies for paid holiday time off benefits.

Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

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About Genentech

Sourced by ZipRecruiter

A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

South San Francisco, CA, US

Year founded

1976

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