Data Engineer (scientific) - US Services
Boston, Massachusetts, United States - Remote
Applications have closed
TetraScience
The Tetra Scientific Data and AI Cloud is the only vendor-neutral, open, cloud-native platform purpose-built for science. Get next-generation lab data automation, scientific data management, and foundational building blocks of Scientific AI....Who We Are
TetraScience is the Scientific Data Cloud company with a mission to accelerate scientific discovery and improve and extend human life. The Scientific Data Cloud is the only open, cloud-native platform purpose-built for science that connects lab instruments, informatics software, and data apps across the biopharma value chain and delivers the foundation of harmonized, actionable scientific data necessary to transform raw data into accelerated and improved scientific outcomes. Through the Tetra Partner Network, market-leading vendors access the power of our cloud to help customers maximize the value of their data.
Our core values are designed to guide our behaviors, actions, and decisions such that we operate as one. We are looking to add individuals to our team that demonstrate the following values:
- Transparency and Context- We trust our people will make the right decisions and overcome any challenges when given data and context.
- Trust and Collaboration- We believe there can only be trust when there is transparency. We are committed to always communicating openly and honestly.
- Fearlessness and Resilience- We proactively run toward challenges of all types. We embrace uncertainty and we take calculated risks.
- Alignment with Customers- We are completely committed to ensuring our customers and partners achieve their missions and treat them with respect and humility.
- Commitment to Craft- We are passionate missionaries. We sweat the details, as the small things enable the big things.
- Equality of Opportunity- We seek out the best of the best regardless of gender, ethnicity, race, or age. We seek out those who embody our common values but bring unique and invaluable perspectives, talents and advantages.
What You Will Do
The TetraScience Professional Services Data Science Engineer will report into the Professional Services organization and will be responsible for the implementation of the TetraScience Data Platform for new clients. This entails execution on the project scope to ensure TetraScience meets or exceeds client expectations and fulfills their requirements.
Additional duties include research and prototype of data acquisition strategies for scientific lab instrumentation along with file parsers for instrument output files (.xlsx, .pdf, .txt, .raw, .fid, many other vendor binaries). Based on project scope, design and build data models, Python data pipelines, unit tests, integration tests and utility functions. As needed, build visualization, report, and dashboards using Spotfire, Tableau and Jupyter notebook for new clients.
Requirements
What You Have Done
- 2+ years’ experience working with in Python and SQL.
- AWS/GCP/Azure certification desired.
- Elasticsearch, science background, or experience with scientific instruments desired
- Experience with tools like Spotfire, Tableau, Jupyter notebook (any of them) desired
- Excellent verbal and written communications skills; ability to explain technical information in non-technical language to drive progress.
- Ability to manage multiple simultaneous projects, proactive troubleshooting skills and attention to detail.
- Bachelor’s degree in Computer Science, Statistics, Chemistry, Business or related field’ or equivalent work experience
Ideal if you have
- Passion about science and building solutions to make the data more accessible to the end-users.
- Intellectually curious: Unwavering drive to learn and know more every day.
- Ability to think creatively on how to solve project risks without reducing quality.
- Ability to distill and present complex information to a wide range of stakeholders.
- Team player and ability to "roll up your sleeves" and do what it takes to make the team successful.
Benefits
- 100% employer-paid benefits for all eligible employees and immediate family members.
- Unlimited paid time off (PTO).
- 401K.
- Flexible working arrangements - Remote work + office as needed.
- Company paid Life Insurance, LTD/STD.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Chemistry Computer Science Data pipelines Elasticsearch GCP Jupyter Pipelines Python Research Spotfire SQL Statistics Tableau
Perks/benefits: Flex hours Flex vacation Transparency Unlimited paid time off
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