TetraScience

👥 101-250💰 $80,000,000 Series B almost 4 years agoPharmaceutical Biotechnology Data Management Internet of Things Life Science Data Integration Software💼 Private Company

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TetraScience offers the world's first R&D Data Cloud, aiming to revolutionize life sciences research and development. Their Tetra Data Platform enables scientists in pharma and biotech to access centralized and actionable data, facilitating digital lab transformation. With a focus on innovative software solutions, TetraScience is set to become a leading player in the life sciences industry.

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Jobs at this company:

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🔥 Chief Data Architect

Posted 28 days ago

📍 United States

🧭 Full-Time

🔍 Data Architecture

🔧 Requirements

15+ years experience in distributed software systems
Deep understanding of Data Architecture and Modeling
Proficient in Python

💡 Responsibilities

Define and communicate technical vision and data architecture strategy
Design schemas, taxonomies, and ontologies
Mentor team members on design techniques and data modeling

PythonETLMachine LearningData modeling

Posted 28 days ago

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🔥 Sr. Platform and DataLake Engineer

Posted 3 months ago

📍 United States

🧭 Full-Time

🔍 Software Development

🔧 Requirements

Experienced in designing and implementing complex, scalable data pipelines/ETL services.
Expert level of Python, Java, and Typescript.
Extensive in cloud-based data storage and processing technologies, particularly AWS services such as S3, Step Functions, Lambda, and Airflow.
Expert level of understanding and hands-on experience with Lake House architecture.
Knowledge of basic DevOps and MLOps principles
3+ year of experience with the DataBricks ecosystem.
Expert level of experience with Spark/Glue and Delta tables/iseberg.
Working knowledge of Snowflake

💡 Responsibilities

Design, develop, and optimize data lake solutions to support our scientific data pipelines and analytics capabilities.
Design, develop, and optimize data pipelines and workflows within the Databricks platform.
Design and architect services to meet customer data processing needs.
Implement data quality and governance frameworks to ensure data integrity and compliance.

AWSPythonSoftware DevelopmentETLJavaTypeScriptAirflowData engineeringSparkCollaborationCompliance

Posted 3 months ago

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🔥 Enterprise Account Executive - Scientific Data Cloud

Posted 3 months ago

📍 United States

🧭 Full-Time

🔍 Scientific Data and AI Cloud

🔧 Requirements

5+ years of experience in a sales role within Cloud Data or related Life Sciences software is required.
Experience selling complex data platforms and translating their value to enterprise customers is required.
Proven track record in closing $1M+ SaaS sales opportunities and growing accounts into 8-figure opportunities.
Understanding of the entire sales cycle including Prospecting, Qualifying, Presentation, Demonstration, POC, negotiation, and closing.
Familiarity with modern sales methodologies (e.g., Force Management, MEDDIC, Challenger Sales).
Experience with digital sales stacks (e.g., Salesforce, LinkedIn Navigator) and social selling.
Strong forecasting and time management skills.
Excellent written and verbal communication skills.
Ability to thrive in a changing work environment.
Biotech, Life Sciences, or Big Pharma domain expertise is a plus.

💡 Responsibilities

Spearhead the growth & adoption of TetraScience Scientific Data Cloud
Manage the full sales cycle from prospecting and qualifying through closing.
Uncover new opportunities from existing customers and target accounts.
Provide timely and accurate forecasts and clear visibility on sales and revenue performance by managing your pipeline.
Leverage and coordinate cross-functional teams as needed for complex sales cycles.
Engage in team development and mentoring.
Lead presentations of TetraScience Data Integration Products to various stakeholders.
Travel to customers and events to promote TetraScience products.

SalesforceCommunication SkillsCollaborationMentoringNegotiationTime ManagementSales experience

Posted 3 months ago

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🔥 Solution Architect

Posted 4 months ago

📍 United States

🔍 Life Sciences

🔧 Requirements

Technical Presales experience as a Solution Architect with a software engineering, cloud, web API, or Data Engineering background.
The ideal candidate will have implemented, leveraging AWS.
Professional experience in Life Sciences R&D/IT or 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.
Excellent technical, business, written, and verbal communication skills.
Adept at handling multiple projects and competing resource allocation.
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.
Experience integrating with systems such as Benchling, IDBS, LabVantage, Veeva LIMS, LabWare, LabX.

💡 Responsibilities

You will work closely with our scientific end-users to design, architect, and deliver highly impactful solutions to pharmaceutical and biotech customers.
As a Solution Architect, 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.
You will be responsible for the creation of POCs', building demos, client training, technical support, and business development in this role.
This is a customer-facing, customer-centric role and requires deep understanding of 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.
Work with lab scientists and lab managers (or R&D IT with lab data responsibilities) to translate and define Scientific use cases, creating a data workflow to develop a solution using the Tetra Data Platform.
Work with the Product and Engineering teams to create product plans - both one-off and platform-based.
Work with Customer Success and Professional Services to help the customer implement by managing change management, while collecting feedback for potential improvements.
Synthesizing customer feedback into a vision for current and future customers, transforming the R&D Data journey.

AWSBusiness DevelopmentData engineeringCommunication SkillsCollaborationSoftware Engineering

Posted 4 months ago

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🔥 Front End Team Lead

Posted 4 months ago

📍 United States

🔍 Scientific Data and AI Cloud

🔧 Requirements

10+ years experience working in companies delivering products for B2B or B2C customers.
5+ years of managing an engineering team, responsible for a feature and infrastructure roadmap.
Proven ability to lead and mentor a team of engineers.
Extensive knowledge of UI performance optimization techniques.
Deep expertise in front-end technologies such as React, HTML, CSS, JavaScript, and TypeScript.
Strong focus on UI testing with automation tools like Selenium, Storybook, Playwright.
Excellent communication and interpersonal skills.
Experience with Amazon Web Services (AWS) or other cloud providers.
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

💡 Responsibilities

Lead and mentor a team of engineers, fostering a collaborative and high-performing culture.
Manage a feature and infrastructure roadmap to deliver quality products.
Oversee UI performance optimization and implement security practices relevant to front-end architecture.
Partner effectively with the product team and customers to ensure simple, user-friendly interfaces.
Ensure compatibility across various browsers and devices.

AWSHTMLCSSJavascriptOAuthTypeScriptAmazon Web ServicesReactSeleniumCollaborationTeam management

Posted 4 months ago

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🔥 Scientific Data Architect / Senior Scientific Data Architect- EMEA Remote

Posted 5 months ago

📍 Germany

🔍 Life Sciences / Biopharma / Bioinformatics

🔧 Requirements

Over 5 years of experience leveraging Python for scripting, automation, data analysis, data engineering, or data science.
At least 3 years of experience in life sciences, either in Biopharma, bioinformatics, or vendor space.
Ability to understand technical products and communicate effectively with product management and engineering.
Excellent communication skills, attention to detail, and project delivery confidence.
Familiarity with cloud technologies (AWS, Azure, GCP) is a plus.

💡 Responsibilities

Translate scientific data workflows into a practical solution leveraging the Tetra Data Platform.
Own, scope, prototype, and implement solutions including data structure design and lab software integration.
Conduct interviews with customers to understand their scientific and business requirements.
Ensure solutions fulfill customer needs, communicate progress, and deliver demos to stakeholders.
Lead sprint-planning and facilitate project retrospectives while assisting in roadmap prioritization.

PythonData AnalysisTableauData engineeringData scienceCollaborationData visualization

Posted 5 months ago

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