Developer

Fulgent Genetics Hybrid Engineer/Scientist Role

This is a remote position. Shifts are subject to change and will be discussed in the interview.

Founded in 2011, Fulgent has evolved into a premier, full-service genomic testing company built around a foundational technology platform. Through our diverse testing menu, Fulgent is focused on transforming patient care in oncology, anatomic pathology, infectious and rare diseases, and reproductive health. We believe that by providing a wide range of effective, flexible testing options in conjunction with best-in-class service and support, we can redefine the way medicine is managed for patients and clinicians alike. Since integrating with our therapeutic development business, Fulgent is also developing drug candidates for treating a broad range of cancers using a novel nanoencapsulation and targeted therapy platform. By merging our fields of expertise, we aim to become a fully integrated precision medicine company.

Summary Of Position

We are seeking individuals that will thrive in a hybrid engineer/scientist role at Fulgent Genetics Headquarters located in El Monte, California, United States. You must be ready to learn genetics, bioinformatics, workflow, and system design. You will be analyzing clinical workflows, reviewing business operations, processing bioinformatics, and developing systems. You will be building scalable AI models, tools, and solutions that connect every aspect of our organization from clinical services to data research. We accomplish this by focusing on the intersection of Computer Science and Laboratory Science.

To be successful, you will develop a solid understanding of our clinical standards and guidelines (ACMG, ACOG, CLIA, CAP, HIPAA, HITECH, etc.) so that you may act as an advisory specialist to other departments and leads. If you are willing to learn, we are willing to teach.

Key Job Elements

We are the accelerators of the company, our team works closely with the engineering department that then serves our organization at large: Clinical Lab, Genetic Counselors or Geneticist, R&D, Bioinformatics, Client Services, Marketing, Sales, and Product Management. Our primary responsibility is to develop tools, agentic workflows, and find-or-make innovative approaches that will help laboratory operations, grow product offerings, and augment laboratory capabilities through transformative technology. Our second responsibility is to educate the organization about the constantly changing AI landscape of new emergent capabilities and emerging risks.

Our collaborative team of four (4) Computer Scientists work alongside the core team of 20 Computer Science Engineers. We have established an admirable team culture that thrives on transparency and active learning. This team reports directly to the Principal Systems Architect, which reports to the COO then the CEO, all of whom have degrees in Computer Science; this team works within three degrees from the top of the company.

Knowledge/Experience

Minimum BA/BS in Computer Science or Data Science or Machine Learning (Computer Science is preferred). Prefer MS in Computer Science or Data Science or Machine Learning. Exceptional understanding of Computer Architecture Concepts. Ability to learn Genetics Biology Bioinformatics and Lab Automation. Ability to perform data analysis and creative thinking. Experience with node.js Javascript CSS Python. Experience with llama.cpp ollama LMStudio or other local inferencing software. Experience with T-SQL PL/SQL (or other SQL languages). Experience with Presentation Tools Office Software and Project Schedules. Experience with GIT Source Control Windows and Linux. Experience with manipulating data such as JSON XML CSV XLSX TXT. Experience with model training and model inferencing. Understanding of Browser Hardware and Database Limitations. Understanding of User Interface Design Locus of Control User Psychology and User Behavior. Understanding of Project Management Requirements Analysis Process Management and Transaction Workflows. Strong communication skills and ability to work well in teams.

Additional and Helpful Skills: Understanding of Bioinformatics Genetics Biology. Understanding of data structures and data management from a low-level perspective. Understanding of networks security computation algorithms bioinformatics and genetics. Experience with Regular Expression. Experience with other languages such as: C/C++ Java Scala python R scripting. Experience with large systems big data complex workflows. Experience working with business operations and marketing teams.