Helical

AI-driven in-silico lab for drug discovery

Senior Account Executive

Account ExecutiveConfirmed live in the last 24 hours

Full-time

About the Job

Requirements

Proven enterprise sales experience as an account executive or senior account executive.
A track record of closing complex business-to-business deals.
Experience selling into pharmaceutical, biotechnology, life sciences, healthcare, artificial intelligence, data, or scientific software markets.
Ability to engage credibly with technical and scientific stakeholders.
Ability to qualify opportunities, negotiate, and close deals.
Comfort operating in a fast-moving, early-stage environment.
Interest in how artificial intelligence is transforming drug discovery and biological research.

Responsibilities

Own the full sales cycle from prospecting to close.
Land new logos across pharmaceutical and biotechnology companies.
Build and manage a strategic enterprise pipeline.
Navigate complex, multi-stakeholder sales cycles.
Engage with scientific, technical, procurement, and executive buyers.
Translate the company's AI-native biology platform into clear customer value.
Partner with founders and product, science, and customer teams.
Help refine sales messaging, qualification, and go-to-market playbooks.
Represent the company at industry events and customer meetings.

Senior Account Executive - US/UK

Helical · London, United Kingdom (Hybrid) · Full-time · Posted 2026-10-21

Workplace: hybrid

Department: Sales & Ops

Description

Senior Account Executive

Hybrid | Full-time
London | Boston | Luxembourg

Helical is building the AI-native lab for biology — replacing slow, costly wet lab experimentation with scalable, virtual discovery. Our platform is already deployed with leading global pharma, enabling teams to run millions of experiments in days, not years.

We’re hiring a Senior Account Executive to drive new business across leading pharmaceutical and biotechnology companies.

This is a strategic enterprise sales role focused on landing new logos, owning complex sales cycles, and turning initial opportunities into long-term, multi-program partnerships. You’ll sell into scientific and technical teams across discovery, computational biology, data science, R&D, and executive leadership.

You will:

Own the full sales cycle from prospecting to close
Land new logos across pharma and biotech
Build and manage a strategic enterprise pipeline
Navigate complex, multi-stakeholder sales cycles
Engage with scientific, technical, procurement, and executive buyers
Translate Helical’s AI-native biology platform into clear customer value
Partner with founders, product, science, and customer teams
Help refine sales messaging, qualification, and go-to-market playbooks
Represent Helical at industry events and customer meetings

Requirements

We’re looking for someone with:

Proven enterprise sales experience as an AE or Senior AE
Track record of closing complex B2B deals
Experience selling into pharma, biotech, life sciences, healthcare, AI, data, or scientific software markets
Strong new business/hunter mentality
Ability to engage credibly with technical and scientific stakeholders
Excellent communication, qualification, negotiation, and closing skills
Comfort operating in a fast-moving, early-stage environment
Interest in how AI is transforming drug discovery and biological research

Benefits

What we offer:

Product already deployed with leading global pharma
High ownership and direct impact
Close collaboration with founders and senior leadership
Opportunity to shape the commercial motion of a category-defining AI biology company
Competitive salary, equity, and benefits

Apply

Apply at Helical

About the Company

Helical

AI-driven in-silico lab for drug discovery

Helical builds a virtual AI lab that turns biological foundation models into reproducible, decision-ready in-silico workflows for pharmaceutical R&D. The platform has a Virtual Lab for biologists and translational scientists and a Model Factory for ML engineers, and both share data, models, and results to bridge computational predictions with biological validation. It enables target identification, biomarker discovery, and therapeutic design by running computational workflows that generate actionable insights which are validated experimentally. The company differentiates itself by integrating biology and machine learning in a collaborative platform that creates an evidence layer linking predictions to validation, and by working with top pharma customers to shorten discovery timelines from months to days.

Company size: 11-50
Company stage: Seed
Total funding: $12.4M
Headquarters: Luxembourg, Luxembourg
Founded: 2023

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