Summary
The job is for a Data Scientist at TetraScience who will translate scientific data workflows into solutions using the Tetra Data Platform. The role involves programming, data structure design, Python-based parser development, API integration, data visualization, customer interaction, problem solving, communication, and project management.
Requirements
- >5 years leveraging Python for scripting, automation, data analysis, data engineering, and/or data science
- >3 years in life sciences, whether at the bench in Biopharma, bioinformatics, or in the vendor space
- Ability to quickly understand a highly technical product and effectively communicate with product management and engineering
- Passionate about science and building solutions to make data more accessible to end-users
- Intellectually curious: unwavering drive to learn more every day
- Intellectually resilient: able to overcome setbacks and find alternate solutions
- Excellent communications skills, attention to detail, and the confidence to take control of project delivery
- Team player and ability to 'roll up your sleeves' and do what it takes to make the team successful
Responsibilities
- Translate scientific data workflows into a solution leveraging the Tetra Data Platform
- Own, scope, prototype, and implement solutions ranging from programming, data structure design, Python-based parser development, API integration, data visualization, and customer interaction
Preferred Qualifications
Nice to have: hand on experience working leveraging cloud technologies (AWS, Azure, GCP) for solution design and architecture
Benefits
- Competitive Salary and equity in a fast-growing company
- Supportive, team-oriented culture of continuous improvement
- Generous paid time off (PTO)
- Flexible working arrangements - Remote work
