Tech Lead, Tetra Data

United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Scientific Data, AI Cloud, Data ManagementIndustries

Requirements

Candidates should have 10+ years of experience as a Data Engineer or in a similar role, with extensive experience in Python and SQL focused on data. The role requires over 10 years of experience managing multiple customer-focused implementation projects across cross-functional teams and building sustainable processes.

Responsibilities

The Tech Lead will lead the Scientific Data Engineering Team, build the Tetra Data foundation, and mentor junior team members. Responsibilities include leading design sessions, architecting solutions, collaborating with Product Managers and Solution Architects to gather requirements and build production-ready solutions, and owning the development of data models, prototypes, and integration solutions. The Tech Lead will also research and prototype data acquisition strategies, design with quality assurance through tests, lead project post-mortems, ensure sprint commitments are met, identify and resolve team inefficiencies, and drive projects to completion by addressing blockers and clarifying requirements.

Skills

Data Engineering

Cloud

Scientific Data

Leadership

Player-coach

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.

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