[Remote] Tech Lead, Tetra Data at TetraScience

United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Scientific Data, AI Cloud, Data ManagementIndustries

Skills

Key technologies and capabilities for this role

Data EngineeringCloudAIScientific DataLeadershipPlayer-coach

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a remote position.

What experience is required for this role?

Candidates need 10+ years of experience as a Data Engineer or similar, 10+ years with Python and SQL focused on data, and 10+ years managing multiple customer-focused implementation projects across cross-functional teams, plus experience building sustainable processes.

What is the salary range for this position?

This information is not specified in the job description.

What does the team leadership involve in this role?

The role involves leading the Scientific Data Engineering (SDE) Team, providing mentorship to junior members, leading design sessions, rallying the team for Agile Sprint commitments, and resolving inefficiencies.

What makes a strong candidate for this Tech Lead position?

A strong candidate is a seasoned data engineer with 10+ years of hands-on experience in Python, SQL, and managing cross-functional projects, who can act as a player-coach to mentor juniors, architect solutions, and drive customer success through collaboration.

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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