Overview
PhysIQ is seeking a talented technical and analytical “utility player” with Python development, data engineering, and analytics expertise. As a member of the Data Services team within Operations, you will help deliver cutting-edge health monitoring technologies, partnering with account management as a critical link between internal development teams and physIQ’s Life Sciences and Healthcare customers.
This is an ‘all things data manipulation related’ multi-discipline role, ideal for someone who is not intimidated by the unknown of problems or situations they are tasked with solving, but instead is energized by finding and implementing a smart solution. Key attributes are pro-active, self-motivated, solutions oriented, and alert to finding inefficiencies that could be improved through technology.
This will be a good fit for someone who prefers to work across multiple technologies and systems; enjoys the challenges of diverse projects; and does not like to be locked into just one programming language, development of just one product module, or a singular function.
Responsibilities:
- Develop, test, debug, and maintain Python scripts and SQL queries to access and manipulate data
- Coordinate with account management teams to configure/deploy customer portals, provide technical customer support, and fulfill customer’s data requirements
- Become a subject matter expert in the use of physIQ’s Python SDK, able to assist and eventually train to external technical teams
- Extract and deliver analytics from physIQ’s product platforms
- Provide or investigate enhancements to product functionality
- Assist in building data pipelines into and out of the product
Required Skills:
- A bachelor’s degree in computer science, computer engineering, or equivalent technical background
- Strong Python programming skills, ability to maintain code in a team environment
- SQL programming skills
- Familiarity with Bash / Unix / Linux
- Understanding of version control software, preferably Git
- Excellent problem-solving skills and the ability to solve data-driven problems in a fast-paced environment
- Solid communication and writing skills
Nice to haves
- Familiarity with healthcare data and/or healthcare industry background
- Experience working in a SAFe organization
- Continuous integration experience (Jenkins, Gitlab CI, Github Actions, Travis, etc.)
- Experience with data visualization software (Tableau, PowerBI, or similar) and dashboard/report design
- Experience with Google Cloud Platform or similar (AWS, Azure) for file transfer, cloud SQL, etc.
- Experienced with database administration/relational databases
- Understanding of predictive modeling and other data science concepts
- Storytelling using insights gained from data
- Experience solving business problems using analytics and statistics