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Internship Biomedical Computing Jobs in California

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Internship Biomedical Computing information

What is an Internship in Biomedical Computing?

An internship in biomedical computing is a temporary, hands-on learning experience where students or recent graduates work with professionals to apply computer science, data analysis, and software development skills to solve problems in biology and medicine. Interns may assist with tasks such as analyzing biomedical data, developing algorithms for medical imaging, or supporting software development for healthcare applications. These internships provide valuable exposure to interdisciplinary work at the intersection of technology and healthcare, often helping students decide on future career or educational paths.

What is the difference between Internship Biomedical Computing vs Biomedical Data Analyst?

AspectInternship Biomedical ComputingBiomedical Data Analyst
Required CredentialsTypically pursuing or recent graduate in biomedical, computer science, or related fieldsBachelor's or master's in bioinformatics, data science, or related fields
Work EnvironmentResearch labs, hospitals, biotech companies, academic institutionsHealthcare organizations, research institutions, biotech firms
Employer & Industry UsageInternship roles in biomedical research and tech developmentData analysis and interpretation in healthcare and biomedical research
Common Search & ComparisonYesYes

Internship Biomedical Computing focuses on gaining practical experience in developing and applying computational tools in biomedical research, often during academic training. Biomedical Data Analysts analyze and interpret biomedical data to support research and clinical decisions. While both roles involve data and computing skills, internships are entry-level training positions, whereas data analysts are typically full-time professionals specializing in data interpretation within the biomedical field.

What are the key skills and qualifications needed to thrive as an Internship Biomedical Computing, and why are they important?

To thrive in a Biomedical Computing internship, you generally need a background in computer science, biology, or biomedical engineering, with foundational knowledge in programming and data analysis. Familiarity with tools like Python, MATLAB, bioinformatics software, and version control systems is often expected. Strong analytical thinking, attention to detail, and collaborative communication skills help interns excel in multidisciplinary teams. These skills are crucial for effectively contributing to complex biomedical research and technology projects that require both technical expertise and teamwork.

What kinds of projects do interns typically work on during a Biomedical Computing internship?

As a Biomedical Computing intern, you can expect to contribute to projects that involve analyzing biomedical data, developing computational tools, or supporting research in areas like medical imaging or genomics. Interns often work closely with interdisciplinary teams of engineers, scientists, and clinicians, gaining hands-on experience with programming languages such as Python or MATLAB and exposure to real-world healthcare challenges. The environment is collaborative, and supervisors usually encourage interns to take initiative, ask questions, and participate in regular meetings or presentations. This experience provides valuable insight into both technical problem-solving and the practical application of computing in healthcare.
What are popular job titles related to Internship Biomedical Computing jobs in California? For Internship Biomedical Computing jobs in California, the most frequently searched job titles are:
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Internship Biomedical Computing jobs near you
Infographic showing various Internship Biomedical Computing job openings in California as of June 2026, with employment types broken down into 93% Full Time, 6% Part Time, and 1% Temporary. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution.

INTERNSHIP: BIOVIA AI Scientific Virtual Companion Development

3ds

San Diego, CA • On-site, Remote

$22 - $40/hr

Full-time, Internship

Posted 10 days ago

Key responsibilities

  • Design, implement, and optimize intelligent AI agents and workflows for scientific applications using Pipeline Pilot and 3DEXPERIENCE.

  • Research, develop, and deploy deep learning algorithms for image analysis, tabular data processing, and scientific applications.

  • Collaborate with software engineers, product managers, QA teams, and customer-facing teams to deliver high-quality AI/ML solutions and participate in design, testing, and validation of workflows.

Job description

Role & Responsibilities
As an Intern in the BIOVIA MARIE Scientific Virtual Companion team, you will contribute to the development of agentic AI solutions and machine learning capabilities on Dassault Systèmes' 3DEXPERIENCE platform and BIOVIA's Pipeline Pilot AI platform. Your work will empower scientists and researchers to solve complex challenges in cheminformatics, medical imaging, and scientific data processing.
Key Responsibilities
  • Develop AI Agents & Workflows:
    Design, implement, and optimize intelligent agents for scientific applications (e.g., chemistry, biology) using Pipeline Pilot and 3DEXPERIENCE. Build scalable, user-friendly workflows with graphical interfaces.
  • Machine Learning Innovation:
    Research, develop, and deploy state-of-the-art deep learning algorithms for image analysis, tabular data processing, and scientific applications. Explore federated learning, continuous learning, and model optimization.
  • Collaboration & Product Development:
    Work with software engineers, product managers, QA teams, and customer-facing teams to deliver high-quality solutions. Participate in design, testing, and validation of AI/ML workflows.
  • Quality & Automation:
    Contribute to automated testing to ensure robustness and reliability of new functionalities. Support workflow automation and AI-driven capabilities in Pipeline Pilot.
  • Project Focus Areas:
    Potential projects include medical imaging quality control (e.g., MRI validation), deep learning model optimization, image annotation tools, privacy-preserving AI, and scientific workflow automation.

Qualifications
Education
  • Currently pursuing a Bachelor's, Master's, or PhD in Computer Science, Chemistry, Data Science, Biomedical Engineering, Electrical Engineering, or a related technical field.
  • Must remain actively enrolled in an accredited university for the duration of the internship.
  • Minimum cumulative GPA of 3.0.

Technical Skills & Experience
  • Required:
    • Proficiency in Python programming.
    • Experience with agentic AI, LLMs, and AI libraries (e.g., LangChain, LangGraph).
    • Familiarity with machine learning/deep learning frameworks (e.g., TensorFlow, PyTorch).
    • Knowledge of scientific computing libraries (e.g., NumPy, pandas, scikit-learn, OpenCV).
  • Preferred:
    • Experience with data pipelines, cheminformatics, or medical imaging workflows.
    • Hands-on experience with model training, deployment, or workflow automation.
    • Exposure to image processing, annotation tools, or federated learning.

Inclusion statement
In order to provide equal employment and advancement opportunities to all individuals, employment decisions at 3DS are based on merit, qualifications and abilities. 3DS is committed to a policy of non-discrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religion, gender, sex (including pregnancy, childbirth or medical or common conditions related to pregnancy or childbirth), sexual orientation, gender identity, gender expression, marital status, familial status, national origin, ancestry, age (40 and above), disability, veteran status, military service, application for military service, genetic information, receipt of free medical care, or any other characteristic protected under applicable law. 3DS will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state laws and local ordinances. We are committed to fair employment practices and will evaluate all candidates based on their qualifications, regardless of past arrest or conviction history.
Salary Pay Transparency
Compensation for the role will be commensurate with experience. The total expected compensation range will be between $22 and $40, representing the base salary (or annualized salary based on estimated hourly compensation) and target bonus.

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