[Remote] Head of Engagement, US at TetraScience

United States

TetraScience Logo
Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Scientific Data, AI Cloud, Life Sciences, BiotechnologyIndustries

Skills

Key technologies and capabilities for this role

Engagement LeadershipProgram ManagementCustomer SuccessValue DeliveryRenewalsExpansionScientific DataAI CloudLab Data Management

Questions & Answers

Common questions about this position

Is this position remote?

Yes, the position is remote.

What is the salary range for this role?

This information is not specified in the job description.

What key skills and experience are required for this role?

The role requires experience building and leading high-performing delivery or engagement teams, managing critical delivery activities, delivering complex data solutions in challenging scenarios, extreme ownership, and being a player-coach with customer-centric focus in the Life Sciences industry.

What is the company culture like at TetraScience?

TetraScience emphasizes alignment with 'The Tetra Way' values outlined in a letter by the CEO, which candidates must review and embody daily, focusing on a unique approach to company and team building in the category creation phase.

What makes a strong candidate for this Head of Engagement role?

A strong candidate is an elite engagement leader who embodies extreme ownership, has a track record of building high-performing teams, delivers complex data solutions in Life Sciences, acts as a player-coach, and aligns with TetraScience's values after reviewing The Tetra Way letter.

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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