Software Engineer
Software ENG & DEV | Remote in Los Angeles, CA | Full Time, Contract, and Temporary | From $60.00 to $60.00 per hour
Job Description
Software Engineer 3021647
- Hourly pay: $60/hr
- Worksite: One of the most prestigious and well-known universities (Remote, Candidates must be located in the United States)
- W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program
- 40 hours/week, 12 Month Assignment
One of the most prestigious and well-known universities is seeking a Software Engineer. The successful candidate will lead lab automation efforts, deployment of a Lab Information Management System (LIMS), and interoperability with a Lab Information System (LIS) managed by IT. The company offers a great work environment!
Software Engineer Responsibilities:
- Lead design and deployment of software infrastructure for the Molecular Diagnostics Lab.
- Manage lab automation initiatives to improve workflow efficiency.
- Implement and oversee the Lab Information Management System (LIMS).
- Ensure interoperability between the LIMS and the existing Lab Information System (LIS).
- Collaborate with multidisciplinary teams including pathologists, scientists, and IT professionals.
Software Engineer Qualifications:
- 3+ years of experience in software design and engineering
- BS or MS in Computer Science or a related discipline
- Experience with human genetics data, especially on NGS DNAseq and RNAseq data Advanced skills in Python (experience with JavaScript is a plus) with attention to documentation and style
- Experience with command-line tools on Linux and BASH scripting/Unix command line
- Experience with workflow language such as Nextflow or WDL
- Experience with High Performance Computing, Slurm, Azure Blob Storage, GitHub Actions preferred
- EPIC bridges certification and experience sending/receiving HL7 preferred
- Intensive experience with GitHub and writing unit tests
- Ability to focus on code reusability and scientific reproducibility of all work, manual or automated
- Reading and comprehending SQL and PostgresQL