TetraScience provides the world’s first and only R&D Data Cloud, with a mission to transform life sciences R&D, accelerate discovery, and improve human life. Scientists at global pharma and biotech organizations rely on our innovative Tetra Data Platform for easy access to centralized, harmonized, and actionable scientific data to accelerate their digital lab transformation. With best-in-class SaaS performance, a team of industry innovators, and excellent product/market fit, Tetra is positioned to become an iconic life sciences software company.
As a Solutions Architect - Pharma, you will work closely with our scientific end-users to design, architect, and deliver highly impactful solutions to pharmaceutical and biotech customers. In this role, you will work to understand scientists' and R&D IT analysts' needs, analyze their data environment, assist in the design and implementation of our solutions, and aid in integration with clients' data systems. Demos, training, technical support, and business development will be deployed where appropriate.
This is a highly customer-facing role and requires deep understanding of the data management and flow in one (or more) scientific domains including process development, analytical chemistry, CMC, MAbs discovery, lab automation, protein production, in vitro screening, or assay development.
What You Will Do
- Work with lab scientists and lab managers (or R&D IT with lab data responsibilities) to understand and define the workflow needed to solve their problems. Translate this knowledge into solutions using the Tetra Data Platform.
- Work with the Product and Engineering teams to create product plans - both one-off and platform-based.
- Customer Success - helping the customer implement our platform through process change management, while collecting feedback for TetraScience about what’s working and potential improvements
- Synthesizing customer feedback into a cohesive vision for how labs can work better through seamless data flow
Requirements (What You Have Done)
- Scientific background and/or 3+ years professional experience in Life Sciences R&D IT / Informatics. Previous experience as a practicing bench or data scientist highly valued.
- Deep understanding of Life Sciences lab information systems such as ELN, CDS, MS, NGS software, LIMS, Registration, LES, analytics, visualization suites
- Deep understanding of drug discovery, development, and manufacturing processes. Experience in large molecule or new modalities is a plus
- Excellent technical, business, written, and verbal communication skills
- Technical experience in software engineering, cloud, web API, network, Windows and Linux OS, data science. Experience with AWS application stack preferred
Values:
- High-bandwidth: thrives when managing multiple simultaneous projects
- Intellectually curious: Unwavering drive to learn and know more every day
- Ability to deal with ambiguity and thrive in a constantly changing and evolving work environment
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.