[Remote] Head of Sciborgs, EMEA at TetraScience

Basel, Basel-Stadt, Switzerland

TetraScience Logo
Not SpecifiedCompensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Life Sciences, Biotechnology, Scientific ResearchIndustries

Requirements

  • Elite Sciborg leader to oversee EMEA region, with all Scientific Business Analysts and Scientific Data Architects reporting to you
  • Customer-centric with ability to see-around-the-corner and passion for delivering value in the high-inertia Life Sciences industry
  • Embody principles of extreme ownership
  • Demonstrated history of building and leading high-performing delivery or engagement teams
  • Demonstrable experience managing critical team activities and consistently delivering complex data solutions in challenging scenarios
  • Player-coach (not a spectator) and forward-deployed captain
  • Extreme self-discipline and determination for category creation and evangelism phase (not siloed people manager)
  • Alignment with TetraScience’s values and ethos as outlined in the Tetra Way letter

Responsibilities

  • Lead a team of Scientific Business Analysts and Scientific Data Architects
  • Establish TetraScience as the Scientific Data and AI thought leader with Life Science customers
  • Develop and execute a comprehensive scientific delivery motion to drive faster time-to-value, high customer satisfaction, and meet annual renewal targets
  • Collaborate with Sales leadership and Account Executives to pursue new business opportunities within existing accounts
  • Work closely with product teams to drive scientific business outcomes
  • Stay up-to-date on industry trends and emerging technologies, positioning TetraScience as a thought leader
  • Maintain ongoing relationships with existing customers to ensure high satisfaction, retention, and network expansion within accounts
  • Lead by example, coach team for career development, and inspire best work
  • Employ analytical and EQ skills to generate insights from customers’ data strategies and actions
  • Travel to customer locations frequently, dependent on account and team needs

Skills

Scientific Data Management
AI
Data Architecture
Business Analysis
Customer Success
Implementation Delivery
Account Expansion
Renewals Management
Leadership
EMEA Operations

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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