R&D Scientist Intern- Data Science at FUJIFILM… · Irvine

Summary: FUJIFILM Cellular Dynamics, Inc is focused on advancing the field of life sciences through innovative research and development. The R&D Scientist Intern will support product and process development by conducting laboratory research and developing software for visualizing experimental data within biological networks. 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 - 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 - Deliver a functional back-end package that accepts various forms of post-processed experimental data and generates visual figures overlayed on biological networks - Provide comprehensive source code for the visualization toolbox - Create detailed documentation covering installation, usage, and technical aspects of the package Required Qualifications: - 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 - 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 Preferred Qualifications: - Familiarity with common research computing environments (Linux/command line) and reproducible workflows (e.g., Conda, Docker, Pyenv—nice to have) Required Skills: Python, R, Bioinformatics, Data visualization Important Skills: Software engineering, Linux Nice-to-Have Skills: Multitasking