[Remote] Team Lead, Scientific Data Workflow Automation, EMEA at TetraScience

Ireland

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

Requirements

Candidates must have over 8 years of experience in Python with a focus on data, and over 3 years of experience in Life Sciences or with scientific data. A minimum of 3 years of experience managing multiple simultaneous projects is required, along with proven experience leading and coordinating engineering teams across diverse projects. Expertise in SQL, RDS, and associated technologies is essential, as are excellent communication and technical writing skills. Experience with data plotting/dashboarding tools and cloud infrastructure providers is a plus.

Responsibilities

The Team Lead will guide field development and product direction for automating lab workflows and unlocking the value of scientific data. They will coordinate forward-deployed engineers to rapidly deliver scientific workflow automation using Tetra products, and support pre-sales in designing and scoping technical projects. This role involves managing the agile development process, including standups, planning, refinement, and delivery meetings, as well as managing people and projects, identifying and clearing blockers, and ensuring team velocity. The Team Lead will drive successful delivery by enabling engineers to focus on technology while leading coordination, prioritization, and stakeholder alignment. They will deliver complex, high-quality client projects quickly, provide product feedback, and help engineers turn projects into core product improvements. Additionally, they will self-start and make progress in the face of ambiguity, work with a geographically dispersed team across time zones, speak up and represent their position, remain resilient and open to feedback, and mentor engineers towards leadership and grow the team's capabilities.

Skills

Workflow Automation
Data Management
Agile Development
Project Management
Team Leadership
Scientific Data

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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