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Internship Bioinformatics Software Engineer Jobs in Santa Rosa, CA

Controls Software Engineer

Bodega Bay, CA ยท On-site

$53.75 - $68.50/hr

Experience through coursework, internships, research projects, or employment developing software applications using one or more modern programming languages such as Python, C++, Java, or similar ...

Elektroprojektant

Novato, CA ยท On-site +1

Senior Engineering Manager At ABB, we help industries stay one step ahead. Progress is a given for ... B2), another language an advantage Excellent communication skills Internship welcome to a similar ...

Internship Bioinformatics Software Engineer information

See Santa Rosa, CA salary details

$14

$27

$42

How much do internship bioinformatics software engineer jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for internship bioinformatics software engineer in Santa Rosa, CA is $27.79, according to ZipRecruiter salary data. Most workers in this role earn between $22.60 and $31.54 per hour, depending on experience, location, and employer.

What is the difference between Internship Bioinformatics Software Engineer vs Bioinformatics Data Analyst?

AspectInternship Bioinformatics Software Engineer
Required CredentialsEnrolled in or recent graduate of Computer Science, Bioinformatics, or related fields
Work EnvironmentResearch labs, biotech companies, or academic institutions
Employer & Industry UsageUsed in biotech, pharmaceutical, and research organizations for software development
Common Search & ComparisonCompared for entry-level software development roles in bioinformatics

While both roles involve working with biological data, an Internship Bioinformatics Software Engineer focuses on developing software tools and algorithms, often requiring programming skills and software development knowledge. A Bioinformatics Data Analyst primarily analyzes biological data, using statistical and data visualization tools. The internship provides hands-on experience in coding and software creation, whereas a data analyst role emphasizes data interpretation and reporting.

What does an Internship Bioinformatics Software Engineer do?

An Internship Bioinformatics Software Engineer assists in developing and maintaining software tools used to analyze biological data, such as DNA sequences or protein structures. They often work under the supervision of senior engineers and scientists to write code, troubleshoot issues, and implement algorithms for biological research. Interns may also help process large datasets, visualize results, and collaborate with interdisciplinary teams. This role provides hands-on experience in both software development and the application of computational methods to biological problems.

What types of projects do Internship Bioinformatics Software Engineers typically work on, and how do these projects contribute to their professional development?

Internship Bioinformatics Software Engineers often work on projects involving the development and optimization of software tools for analyzing large biological datasets, such as genomic sequences or protein structures. These projects frequently require collaboration with biologists and data scientists, offering valuable exposure to interdisciplinary teamwork. Interns may be tasked with writing code, testing algorithms, or visualizing data, all of which build practical skills in both software engineering and bioinformatics. This hands-on experience not only enhances technical proficiency but also helps interns better understand real-world applications in life sciences, setting a strong foundation for future career growth.

What are the key skills and qualifications needed to thrive as an Internship Bioinformatics Software Engineer, and why are they important?

To thrive as an Internship Bioinformatics Software Engineer, you need a foundational understanding of programming (often in Python, R, or Java), basic knowledge of molecular biology or genomics, and current pursuit of a degree in bioinformatics, computer science, or a related field. Familiarity with bioinformatics tools (such as BLAST, Bioconductor, or Galaxy), version control systems like Git, and experience analyzing biological datasets are typically expected. Strong problem-solving abilities, attention to detail, and effective communication skills help interns collaborate and learn in multidisciplinary teams. These skills and qualities ensure interns can contribute to meaningful research, adapt quickly to new technologies, and facilitate teamwork in complex scientific environments.
What job categories do people searching Internship Bioinformatics Software Engineer jobs in Santa Rosa, CA look for? The top searched job categories for Internship Bioinformatics Software Engineer jobs in Santa Rosa, CA are:
What cities near Santa Rosa, CA are hiring for Internship Bioinformatics Software Engineer jobs? Cities near Santa Rosa, CA with the most Internship Bioinformatics Software Engineer job openings:

Controls Software Engineer

EG-Engineering

Bodega Bay, CA โ€ข On-site

$53.75 - $68.50/hr

Other

Posted 10 days ago


Job description

Lawrence Berkeley National Laboratory is hiring a Controls Software Engineer within the Engineering division. This position will support the development, deployment, maintenance, and enhancement of software systems that enable operations of the Advanced Light Source (ALS), a world-class synchrotron user facility. Working within a collaborative team of software engineers, scientists, and technical staff, the incumbent assists in the design and implementation of EPICS-based control system applications, Physics Higher Level Applications, graphical user interfaces, and data management tools that support accelerator and beamline operations. Under general supervision, the Associate Software Developer applies established software engineering principles and development methodologies to complete assigned tasks and contribute to project objectives.ย 

The position participates in software development, testing, documentation, commissioning, and operational support activities while gaining experience with accelerator control systems and scientific computing environments. Occasional off-hours support may be required to help maintain reliable operation of this 24/7 user facility.

We're here for the same mission, to bring science solutions to the world. Join our team and YOU will play a supporting role in our goal to address global challenges! Have a high level of impact and work for an organization associated with 17 Nobel Prizes!

You will:

  • Develop, test, deploy, and maintain control system software using EPICS and associated software development tools.

  • Assist in the development and enhancement of graphical user interfaces, operator displays, data logging applications, and other software tools used for accelerator and beamline operations.

  • Develop and support Physics Higher Level Applications for the ALS accelerator complex using

  • Python, MATLAB, and related scientific computing tools under the guidance of senior staff.

  • Participate in software integration, testing, troubleshooting, and validation activities to support

operational and project objectives.

  • Assist with commissioning new controls and software applications in collaboration with engineers,

scientists, and technical personnel.

  • Diagnose and resolve routine software issues, escalating complex problems as appropriate.

  • Create and maintain technical documentation, user guides, software specifications, and

development records related to assigned work.

  • Present work progress, technical findings, and project updates during team meetings and technical discussions.

  • Follow established software development methodologies, coding standards, and quality assurance practices.

  • Participate in team activities related to source control, code review, issue tracking, testing, and

continuous improvement of development processes.

  • Collaborate effectively with software developers, accelerator physicists, engineers, and operations staff to support ALS scientific and operational goals.

We are looking for:

  • Bachelor's degree in Computer Science, Engineering, Computational Biology, or a related field; or an equivalent combination of education and relevant experience.

  • 2 years of experience in software development or related technical work (including internships,

academic projects, or research experience).

  • Experience through coursework, internships, research projects, or employment developing software applications using one or more modern programming languages such as Python, C++, Java, or similar languages.

  • Experience using software development tools and practices, including version control systems such as Git.

  • Demonstrated ability to learn new technologies and technical concepts in a collaborative

environment.

  • Effective written, verbal, and interpersonal communication skills.

  • Foundational knowledge of software engineering principles, programming concepts, and software

development life cycle methodologies.

  • Understanding of object-oriented programming, data structures, algorithms, and software design practices.

  • Development experience with Matlab, Python and C/C++ programming languages.

  • ML/LLM models knowledge and implementation experience on software code.

  • Basic understanding of Linux/UNIX environments and software development tools.

  • Ability to develop, test, debug, and maintain software applications under guidance from senior

  • developers.

  • Ability to use version control systems and collaborative development tools.

  • Technical writing skills sufficient to prepare clear documentation and reports.

  • Analytical and problem-solving skills for identifying and resolving routine software issues.

  • Ability to learn complex scientific and technical systems and apply new knowledge effectively.

  • Ability to work both independently on assigned tasks and collaboratively within multidisciplinary

teams.

  • Ability to communicate technical information clearly to both technical and non-technical audiences.

Desired skills/knowledge:

  • Experience with Linux or UNIX-based operating systems.

  • Familiarity with scientific computing, data analysis, or engineering software environments.

  • Exposure to control systems, instrumentation, automation systems, or distributed software architectures.

  • Experience with EPICS, MATLAB, or similar scientific and engineering software frameworks.

  • Experience developing graphical user interfaces, web-based applications, or data visualization tools.

  • Knowledge of software testing and quality assurance methodologies.

Additional information:

  • Appointment type: This is a full-time 2 year, term appointment with the possibility of extension or conversion to Career appointment based upon satisfactory job performance, continuing availability of funds and ongoing operational needs.

  • Salary range: The expected salary for this position is $105,000 - $128,000, which fits into the full salary of $92,964 - $156,876 depending upon the candidate's skills, knowledge, and abilities. This includes education, certifications, and years of experience.

  • Background check: This position is subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.

  • Work modality: Work will be primarily performed at: Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. A REAL ID or other acceptable form of identification is required to access Berkeley Lab sites (for more information click here).

  • Work authorization: Candidates must be eligible to work in the U.S. at the time of hire. Visa sponsorship is not available for this position.

Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov

Equal Employment Opportunity Employer: The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism. In support of our rich global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law.

Misconduct Disclosure Requirement: As a condition of employment, the final candidate who accepts an offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; or have filed an appeal of a finding of substantiated misconduct with a previous employer. For additional information, click here.


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