The Python Engineer will analyze data produced by assays and software applications under development by our Customer and design and develop new algorithms and applications to support our company's platforms and products.
This position also entails partnering with Product Development teams on study design planning, analysis, and result interpretation, and gathering requirements to develop modules to be integrated into software products.
The position requires a basic understanding of data structures and files commonly used in bioinformatics and statistical methods.
Include, but are not limited to, the following:
- Collect and document product and software requirements and findings from analyses executed by themself and others.
- Main responsibilities, day-to-day: Integration of software modules into pipelines
- Design and implement software modules to implement the requirements collected from data analyses.
- Assist with integrating software modules into pipelines.
- Design and implement software modules to automate data analyses.
- Ability to work collaboratively in cross-functional teams.
- Strong written and verbal communication skills.
- Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
- Support and comply with the company’s Quality Management System policies and procedures.
- Maintain regular and reliable attendance.
- Ability to act with an inclusive mindset and model these behaviors for the organization.
- Ability to work a designated schedule.
- Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 50% of a typical working day.
Minimum Qualifications
- 3+ years of experience, or an equivalent combination of experience and education as outlined in the essential duties.
- Solid experience with Backend services with Python (List, Tuple, Dict, and Unit testing)
- Solid experience with AWS Lambdas
- Experience with event-driven architecture, SQS (queue), or Kafka
- Experience with DynamoDB
- Experience with Gitlab Pipelines, Docker, and YAML.
- Extensive experience in computing environments and associated tools.
- Ability to write custom code in at least one programming or scripting language.
- Experience with software ticketing, progress tracking, and timeline tracking systems: JIRA, Smartsheet.
- Knowledge and adherence to good coding and documentation practices.
- Basic computer skills include Internet navigation, email usage, and word processing.
- Demonstrated ability to perform the position's essential duties with or without accommodation.