Business Development Representative (BDR), EMEA

United Kingdom

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Scientific Data Management, AI and Cloud ComputingIndustries

Requirements

Candidates should have 1-3 years of experience in sales development, lead generation, or customer-facing roles, with prior exposure to outbound sales, including cold calling, and familiarity with sales tools like Salesforce, Outreach/SalesLoft, and LinkedIn Sales Navigator. A background or interest in life sciences, SaaS, or STEM fields is preferred.

Responsibilities

The Business Development Representative will prospect into target accounts using cold calling, email, LinkedIn, and other outbound tactics, own daily call blocks and structured outreach efforts, qualify inbound leads, identify high-potential accounts, set high-quality meetings, nurture early-stage opportunities, partner with internal teams, track activity, and manage pipeline through Salesforce, Outreach, and LinkedIn Sales Navigator, and hit or exceed monthly KPIs across call volume, meetings booked, and opportunities generated.

Skills

Outbound Sales

Cold Calling

Prospecting

Lead Generation

Communication

Persistence

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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