Chief Architect

Boston, Massachusetts, United States

Apply with AI Apply

Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Scientific Data & AI, Cloud Computing, Laboratory & Scientific SoftwareIndustries

Requirements

Candidates should possess 15+ years’ experience designing and building highly scalable, data platforms, significant experience with AWS, Services-Architecture and web-scale design patterns, a proven track-record of success developing product strategy within a start-up environment, hands-on experience in building Platform Architecture and Microservices / Containe, and demonstrated ability to drive architectural vision for a company or highly scalable line of products.

Responsibilities

The Chief Architect will own, define, communicate, and drive technical vision and architectural strategy for all Tetra products, 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 members 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, forge key relationships with peers, and provide thought leadership and represent TetraScience at industry and technology conferences.

Skills

Software Architecture

AI/ML

Data Management

Cloud Computing

Scientific Data

Collaboration

Leadership

TetraScience

Cloud platform for scientific data management

About TetraScience

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 company's goal is to enhance scientific outcomes by preparing data for artificial intelligence and machine learning applications.

Boston, MassachusettsHeadquarters

2019Year Founded

$113.8MTotal Funding

SERIES_BCompany Stage

AI & Machine Learning, Biotechnology, HealthcareIndustries

51-200Employees

Benefits

Unlimited PTO

100% company paid health, dental, & vision

Company paid life insurance

401k savings

Company paid disability insurance

Equity program

Flexible work arrangements

Risks

Rapid AI development may outpace TetraScience's integration capabilities, risking obsolescence.

Dependency on partners like Google Cloud and NVIDIA could pose risks if disrupted.

International expansion may expose TetraScience to regulatory and compliance challenges.

Differentiation

TetraScience offers a vendor-neutral, open, cloud-native platform for scientific data management.

The platform integrates with any lab equipment or software, enhancing flexibility and adaptability.

TetraScience's Scientific Data Cloud centralizes and harmonizes data, preparing it for AI/ML applications.

Upsides

Partnerships with NVIDIA and Google Cloud enhance AI-native scientific datasets and capabilities.

Collaboration with Databricks accelerates the Scientific AI revolution in life sciences.

Bayer AG partnership maximizes scientific data value, driving innovation in biopharma.

Land your dream remote job 3x faster with AI

Try Jobo Free