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Biotech Software Engineer Intern Jobs in Berkeley, CA

Strong programming skills in C/C++, Python, and software design * Strong foundation in mathematics and theoretical computer science, such as linear algebra, calculus, graph theory, computational ...

... a Support Engineer-Intern to augment its existing support staff. We strongly believe that in a ... Koding provides all you need to move your software development completely to the cloud. You will be ...

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Biotech Software Engineer Intern information

See Berkeley, CA salary details

$16

$31

$47

How much do biotech software engineer intern jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for biotech software engineer intern in Berkeley, CA is $31.12, according to ZipRecruiter salary data. Most workers in this role earn between $25.29 and $35.34 per hour, depending on experience, location, and employer.

What does a biotech software engineer intern do?

A Biotech Software Engineer Intern works at the intersection of biology, technology, and computer science to develop and support software tools used in biotechnology research and development. Their tasks often include writing code to analyze biological data, building applications for laboratory automation, and collaborating with scientists to solve complex problems. Interns may also help maintain databases, visualize experimental results, and contribute to the design of algorithms for genomics, drug discovery, or medical diagnostics. This role provides hands-on experience with real-world biotech projects and exposure to the latest technologies in the field.

What are the key skills and qualifications needed to thrive as a biotech software engineer intern?

To thrive as a Biotech Software Engineer Intern, you generally need a background in computer science or bioinformatics, with skills in programming languages such as Python, Java, or R, and a basic understanding of biological concepts. Familiarity with bioinformatics tools, version control systems like Git, and databases such as SQL is typically required, and coursework or internships in biotech or life sciences are advantageous. Strong problem-solving abilities, attention to detail, and effective communication are standout soft skills for this role. These competencies are crucial for developing reliable software solutions that support biotech research and facilitate interdisciplinary collaboration.

What types of projects can a biotech software engineer intern expect to work on during their internship?

As a Biotech Software Engineer Intern, you can expect to work on projects that bridge biology and technology, such as developing or optimizing software for analyzing genomic data, automating laboratory processes, or creating visualization tools for biological datasets. Interns often collaborate closely with both software developers and life science researchers, gaining exposure to interdisciplinary teamwork. These projects are typically designed to provide hands-on experience with real-world biotech challenges, helping interns build both technical and domain-specific skills that are valuable for a future career in the field.

What is the difference between Biotech Software Engineer Intern vs Bioinformatics Intern?

AspectBiotech Software Engineer InternBioinformatics Intern
Required CredentialsEnrolled in Computer Science, Bioinformatics, or related fields; coding skills in Python, Java, or C++Enrolled in Bioinformatics, Computational Biology, or related fields; programming skills in R, Python, or Perl
Work EnvironmentResearch labs, biotech companies, or pharmaceutical firms focusing on software developmentResearch labs, healthcare institutions, or biotech firms analyzing biological data
Employer & Industry UsageUsed in biotech, pharma, and research companies for software development projectsUsed in research institutions and biotech companies for data analysis and biological research

The Biotech Software Engineer Intern focuses on developing software solutions within biotech settings, requiring coding skills and software development knowledge. In contrast, the Bioinformatics Intern primarily analyzes biological data, often using statistical and scripting tools. Both roles are essential in biotech research but differ in their core tasks and skill emphasis.

What are popular job titles related to Biotech Software Engineer Intern jobs in Berkeley, CA?

For Biotech Software Engineer Intern jobs in Berkeley, CA, the most frequently searched job titles are:

What cities near Berkeley, CA are hiring for Biotech Software Engineer Intern jobs?

Cities near Berkeley, CA with the most Biotech Software Engineer Intern job openings:

Infographic showing various Biotech Software Engineer Intern job openings in Berkeley, CA as of August 2026, with employment types broken down into 30% Internship, 48% Full Time, 17% Part Time, and 5% Temporary. Highlights an 100% In-person job distribution, with an average salary of $64,732 per year, or $31.1 per hour.

Software Engineer Intern - Generalist

pony.ai

Fremont, CA • On-site

$7.0K - $10K/mo

Internship

Re-posted 5 days ago


Job description

Founded in 2016 in Silicon Valley, Pony.ai has quickly become a global leader in autonomous mobility and is a pioneer in extending autonomous mobility technologies and services at a rapidly expanding footprint of sites around the world. Operating Robotaxi, Robotruck and Personally Owned Vehicles (POV) business units, Pony.ai is an industry leader in the commercialization of autonomous driving and is committed to developing the safest autonomous driving capabilities on a global scale. Pony.ai's leading position has been recognized, with CNBC ranking Pony.ai #10 on its CNBC Disruptor list of the 50 most innovative and disruptive tech companies of 2022. In June 2023, Pony.ai was recognized on the XPRIZE and Bessemer Venture Partners inaugural "XB100" 2023 list of the world's top 100 private deep tech companies, ranking #12 globally. As of August 2023, Pony.ai has accumulated nearly 21 million miles of autonomous driving globally. Pony.ai went public at NASDAQ in November 2024.
Responsibility
  • Design and implement algorithms and evaluation metrics to drive core AI decision-making.
  • Build scalable data pipelines and toolchains for large-scale data ingestion, batch processing, and evaluation.
  • Design system-level evaluation metrics, testing frameworks, and simulation environments across business components.

Requirements
  • Strong programming skills in C/C++, Python, and software design
  • Strong foundation in mathematics and theoretical computer science, such as linear algebra, calculus, graph theory, computational geometry, combinatorial optimization algorithms, stochastic processes, and complexity analysis.
  • Possessing solid engineering discipline, or demonstrating strong interest and potential in building large-scale systems, with the ability to maximize performance while keeping complexity and cost to a minimum.
  • Pursueing a BS/MS or Ph.D in Computer Science or a related field
  • Experience in large data set processing and familiarity with real time systems
  • Solid experience in a fast-paced and structured engineering environment
  • Full stack experience including both front end and back end is preferred
  • Statistics analysis experience is preferred

Note
  • The position is rolling-based and can start anytime.
  • This position is fully onsite in Fremont, at least 3 months.

Compensation
  • Master: $7000/month
  • PhD: $10,000/month

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