Full-Time

Chief Architect

Confirmed live in the last 24 hours

TetraScience

TetraScience

51-200 employees

Cloud platform for scientific data management

AI & Machine Learning
Biotechnology

Expert

No H1B Sponsorship

Remote in USA

Category
Applied Machine Learning
AI Research
AI & Machine Learning
Required Skills
Microsoft Azure
Python
AWS
Databricks
Data Analysis
Snowflake
Requirements
  • 15+ years’ experience designing and building highly scalable, data platforms
  • Significant experience with AWS, Services-Architecture and web-scale design patterns
  • Demonstrated ability to drive architectural vision for a company or highly scalable line of products
  • Proven track-record of success developing product strategy within a start-up environment
  • Hands on experience in building Platform Architecture and Microservices / Containerization technologies
  • Proficient in Python and web scale technologies
  • Experience with ETL, data integration, data pipelines and lake house architectures
  • Experience in Databricks, Snowflake, Google, Azure is a plus
  • Excellent problem solving, collaboration and communication skills, both verbal and written
  • Ability and desire for transparent communication and influence at the executive level
  • Have an entrepreneurial spirit and bring ideas to the table
  • A proven track record of influencing organizational change from an enterprise architecture perspective over a sustained period without steamrolling or frustration
  • Experience in life sciences or working for Biopharma companies is a big plus
Responsibilities
  • Own, define, communicate, and drive technical vision, architectural strategy for all Tetra products
  • Define the technical strategy for data re-platforming, data engineering, Analytics, and AI /ML layers
  • Support and advise executive leadership regarding technical and architectural feasibility, implications, readiness, security and compliance
  • Provide key inputs into technology evaluation and technology planning activities
  • Drive architecture discussions with partners like Google, Databricks, and Snowflake
  • Communicate the architecture to the engineering and product teams, customers, and stakeholders
  • Mentor and train other team member on design techniques, systems architecture and coding standards
  • Drive innovations that improve the scalability, availability, resiliency, and performances of services and products
  • Stay on the cutting edge of emerging technology, forging key relationships with peers
  • Provide thought leadership and represent TetraScience at industry and technology conferences

TetraScience offers a cloud-based platform called the Scientific Data Cloud, which helps biopharmaceutical companies manage and harmonize their scientific data for research and development, quality assurance, and manufacturing. The platform connects various lab instruments and software, streamlining data management and significantly reducing task completion time. TetraScience's vendor-neutral and open design allows it to work with any lab equipment, making it a flexible solution in the life sciences sector. The goal is to enhance scientific outcomes by preparing data for artificial intelligence and machine learning applications.

Company Stage

Series B

Total Funding

$113.8M

Headquarters

Boston, Massachusetts

Founded

2019

Growth & Insights
Headcount

6 month growth

-5%

1 year growth

-15%

2 year growth

-19%
Simplify Jobs

Simplify's Take

What believers are saying

  • Collaborations with major players like Bayer AG and Google Cloud indicate strong market validation and potential for significant growth.
  • The platform's ability to transform and centralize scientific data into AI-ready formats can drastically improve research and development efficiency, leading to faster drug development cycles.
  • ISO 9001:2015 certification underscores TetraScience's commitment to quality and compliance, which is crucial for attracting and retaining biopharma clients.

What critics are saying

  • The highly specialized nature of their platform may limit their market to primarily large biopharmaceutical companies, potentially restricting growth opportunities.
  • Dependence on strategic partnerships for advanced capabilities could pose risks if these partnerships were to dissolve.

What makes TetraScience unique

  • TetraScience offers a vendor-neutral, open, cloud-native platform specifically designed for scientific data management, unlike many competitors who offer more generalized solutions.
  • Their platform's ability to connect all lab instruments, informatics software, and data apps provides a seamless data management experience across the biopharma value chain.
  • Strategic partnerships with industry giants like Databricks and Google Cloud enhance their capabilities in AI and data management, setting them apart from other life sciences data platforms.

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Benefits

Unlimited PTO

100% company paid health, dental, & vision

Company paid life insurance

401k savings

Company paid disability insurance

Equity program

Flexible work arrangements