TetraScience is a leader in the Scientific Data and AI Cloud sector, focusing on AI-native scientific data sets and lab data management solutions.
The role involves translating scientific data workflows into solutions using the Tetra Data Platform.
Responsibilities include owning, scoping, prototyping, and implementing various solutions such as programmatically interrogating proprietary instrument output files, designing data structures with JSON schemas, developing Python-based parsers, and integrating lab software via APIs.
The position requires data visualization in Python using frameworks like Jupyter Notebooks or Streamlit, as well as BI tools like Tableau, Spotfire, or PowerBI.
The candidate will interview customers to understand their scientific and business requirements and work with them to ensure solutions meet their needs.
Real-time problem-solving and proactive communication of implementation progress to customer stakeholders are essential.
The role includes leading sprint-planning and prioritization for specific use cases or accounts, facilitating internal project retrospectives, and assisting the product team in building and prioritizing the roadmap based on customer pain points.
A minimum of 5 years of experience leveraging Python for scripting, automation, data analysis, data engineering, or data science is required.
The candidate should have at least 3 years of experience in life sciences, either in Biopharma, bioinformatics, or the vendor space.
The role requires the ability to quickly understand technical products and communicate effectively with product management and engineering teams.
The candidate should be passionate about science and making data more accessible, intellectually curious, resilient, and possess excellent communication skills.
Team collaboration and a willingness to travel to customer sites within EMEA (up to 20%) are necessary.
Experience with cloud technologies (AWS, Azure, GCP) for solution design and architecture is a plus.
Requirements:
Candidates must have over 5 years of experience using Python for scripting, automation, data analysis, data engineering, or data science.
A minimum of 3 years of experience in life sciences is required, whether at the bench in Biopharma, bioinformatics, or in the vendor space.
The ability to quickly understand a highly technical product and effectively communicate with product management and engineering is essential.
Candidates should be passionate about science and building solutions to enhance data accessibility for end-users.
An unwavering drive to learn and an ability to overcome setbacks and find alternative solutions are necessary traits.
Excellent communication skills, attention to detail, and the confidence to manage project delivery are required.
The candidate must be a team player, willing to "roll up their sleeves" to ensure team success.
Willingness to travel to customer sites within EMEA (up to 20%) is required.
Experience with cloud technologies (AWS, Azure, GCP) for solution design and architecture is considered a nice-to-have.
Benefits:
The position offers 100% employer-paid benefits for all eligible employees and their immediate family members.
Employees enjoy unlimited paid time off (PTO).
A 401K plan is available for employees.
This is a remote role, allowing employees to work from their preferred location.
The company provides paid life insurance and long-term/short-term disability insurance.
