Senior Informatics Developer

Location
Seattle
Posted
Apr 11, 2021
Ref
5047211002
Required Education
Other
Position Type
Full time
JOB PURPOSE

The successful candidate will work closely with scientists, automation engineers, computational engineers, computational biologists and other informatics developers to define, document and implement features in our LIMS and ELN; act as a data capture evangelist; and facilitate movement of data in and out of those systems. This person will have strong written and verbal communication skills paired with an ability to get things done quickly without amassing hidden technical debt. They will be able to work with various stakeholders and teams across Sana to understand their requirements, negotiate solutions that satisfy those requirements, and implement them in a timely fashion.

The ideal candidate will be excited about increasing the accuracy and efficiency of our lab activities by automating repetitive or error-prone tasks, allowing us to increase breadth and depth of our work. They will believe in the power of properly captured, standardized and annotated data. They will believe in the importance of building systems that are approachable and maintainable by using standard tooling and techniques; understanding the needs of the scientists and other stakeholders; and writing documentation for end-users and other developers. The ability to be flexible, and to work in a highly collaborative environment and with an agile team first mind-set will be critical to success.

DUTIES AND RESPONSIBILITIES
  • Evangelize FAIR capture, annotation and standardization of data across Sana
  • Partner with Sana research groups to define processes, workflows and results - then lead the capture of this data in our ELN & LIMS.
  • Collaborate with automation, informatics, computational biology and engineering teams on tools and data pipelines to integrate laboratory processes and equipment in an automated, robust and reproducible fashion within the Sana informatics infrastructure.
  • Manage configuration changes to ELN, LIMS and other data systems
  • Independently lead projects from requirement gathering through implementation and training.
  • Manage project schedules, setting expectations and communicating progress.
  • Communicate to a broad audience with a range of technical, analytical, and biological expertise and present results on a regular basis at various group meetings

QUALIFICATIONS

Basic Qualifications
  • BA or MS in computer science, engineering, biology, or a related discipline with 8+ years industry experience or PhD with 5+ years industry experience
  • 5+ years of hands-on experience with ELN, LIMS, and automating laboratory systems
  • Demonstrated understanding of LIMS/ELN and automation APIs
  • Demonstrated proficiency with relational databases using SQL, including basic queries, updates and schema design
  • Experience with Python and script development
  • Demonstrated ability to develop specifications for LIMS/ELN features and work with internal and external implementers to see projects to completion
  • Demonstrated strong problem-solving abilities and organizational skills
  • Must be detail oriented, self-motivated, independent, flexible, and able to prioritize and manage several fast-paced projects concurrently
  • Strong verbal and written communication skills for technical and non-technical audiences
  • Demonstrated ability to work in cross-functional teams as a strong team player as well as independently
  • Demonstrated ability to manage and prioritize multiple projects and consistently meet deadlines with excellent time management and organizational skills
  • Lead with curiosity and influence across functional and organizational lines
  • Ability to effectively work through change and ambiguity
  • Ability to engage in crucial conversations - providing and receiving feedback

Preferred Qualifications
  • Experience with Benchling
  • Familiarity with biological data ontologies
  • Experience with data visualization and visualization tools
  • Data management experience with molecular biology data
  • Knowledge with configuring and deploying GxP systems