Position Description

We are hiring a R&D Scientist Intern- Data Science. The R&D Scientist Intern will provide R&D support of projects in product and process development by conducting laboratory research under the guidance of a supervisor. 

At FUJIFILM Biosciences, we turn curiosity into breakthroughs that advance the field of life sciences. By offering a comprehensive portfolio of products and services in cell culture media, discovery research reagents, recombinant growth factors and proteins, fine chemicals, and critical assay materials, we partner with the brightest minds in biotech and pharma to tackle the world’s biggest health challenges.

Imagine being part of a team that enables life-changing discoveries like new vaccines, therapies, and advancements in regenerative medicine. Our culture fosters curiosity, collaboration, and innovation, and we pride ourselves on delivering unparalleled quality and service to our partners. If you’re ready to make an impact, your future belongs with us at FUJIFILM Biosciences.

Our headquarters in Santa Ana, California, is surrounded by world-class schools, lush parks, and scenic beaches like Laguna and Huntington, making it an ideal place to live, work, and explore. With additional campuses across the US, Europe, China, and Japan, we offer opportunities to make a difference worldwide.

Fujifilm is globally headquartered in Tokyo with over 70,000 employees across four key business segments of healthcare, electronics, business innovation, and imaging. We are guided and united by our Group Purpose of “giving our world more smiles.” Visit: https://www.fujifilm.com/us/en/about/region/careers

Responsibilities:

• Develop a back-end software package capable of visualizing experimental data onto organism-specific biological networks.

• Integrate diverse types of post-processed experimental data, including genomics, transcriptomics, proteomics, metabolomics, and spent media data in the visualization.

• Design and implement algorithms for generating visual figures that contextualize experimental data within biological network frameworks.

• Ensure robust documentation of the pre- and post-development source code, including usage, guidelines, and technical explanations.

• Collaborate closely with experimental scientists to understand data visualization needs and facilitate experimental design.

• Learning Objectives

  • Gain practical experience in software development for scientific research applications.

  • Develop skills in handling and integrating high-throughput biological data types.

  • Learn techniques for the visualization of complex biological networks and experimental datasets.

  • Understand the challenges and best practices in scientific code documentation and user support.

  • Enhance collaboration and communication abilities by working with multidisciplinary teams of experimental scientists and bioinformaticians.

• Deliverables
  • A functional back-end package that accepts various forms of post-processed experimental data and generates visual figures overlayed on biological networks.
  • Comprehensive source code for the visualization toolbox.
  • Detailed documentation covering installation, usage, and technical aspects of the package.

Required Skills/Education:

• Must be pursuing at least a Master's degree or PhD and a returning student with a focus on Applied Sciences, Bioinformatics, Computational Biology or Engineering.

• Proficiency in Python and/or R for data processing, analysis, and scientific software development. Experience with visualization libraries on Python and/or R to generate publication-quality figures (e.g., Matplotlib, Seaborn, Plotly, ggplot2, Escher, etc.) and translating data into clear visual narratives.

• Experience working with high-throughput biological data types (e.g., genomics, bulk/scRNA-seq, proteomics, metabolomics). Strong familiarity with different types of biological networks.

• Software engineering fundamentals: version control (Git), modular design, building reusable packages/libraries and web apps.

• Familiarity with common research computing environments (Linux/command line) and reproducible workflows (e.g., Conda, Docker, Pyenv—nice to have).

• Aptitude for understanding, communicating, and interpreting scientific concepts, applications and methods.

• Highly motivated with strong problem-solving skills

• Excellent communication and interpersonal skills

• Ability to multitask, adjust quickly, and be organized.

• Ability to work with others and independently as required

Salary and Benefits:

• For California, the base salary range for this position is $23.00-$25.00 per hour. Compensation for the successful candidate will depend on the level of degree in pursuit.

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Fujifilm is committed to providing equal opportunities in hiring, promotion and advancement, compensation, benefits, and training regardless of nationality, age, gender, sexual orientation or gender identity, race, ethnicity, religion, political creed, ideology, national, or social origin, disability, veteran status, etc.

If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to our HR Department (flbi@fujifilm.com).