Biorender

Head of ML

California, United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Scientific Software, BiotechnologyIndustries

Position Overview

  • Location Type: Remote
  • Employment Type: Full-Time
  • Salary: Not specified

BioRender is seeking a visionary Head of ML to lead the transformation of scientific figure creation. The role focuses on building intelligent, intuitive, and automated tools that democratize scientific knowledge and accelerate discovery. BioRender is a company that helps scientists communicate their research through a platform used by over a million scientists worldwide.

Requirements

  • Deep understanding of Machine Learning principles and techniques.
  • Experience with generative models (e.g., GANs, diffusion models).
  • Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch).
  • Strong understanding of biological concepts and scientific communication.
  • Experience with multimodal learning systems.
  • Ability to architect and scale ML infrastructure.
  • Experience with data labeling and dataset creation.

Responsibilities

  • Lead the transformation of figure creation using ML-powered tools.
  • Architect systems that understand biological language and experimental context.
  • Develop ML models to convert natural language descriptions into editable scientific figures.
  • Design multimodal learning systems to connect biological text, icons, diagrams, and templates.
  • Build generative visual models from BioRender’s existing dataset (tens of millions of scientific figures).
  • Develop user-facing creative ML tools for scientists (e.g., auto-complete, layout optimization).
  • Ship high-impact ML infrastructure across BioRender’s ecosystem.
  • Ensure scientific accuracy and visual quality in generated figures.

Application Instructions

Contact BioRender directly for application instructions.

Company Information

  • Company: BioRender
  • Mission: To change how science is communicated, understood, and accelerated.
  • Current Usage: Used by over a million scientists worldwide, generating over 24 million scientific figures daily.
  • Key Clients: Researchers at top universities, pharmaceutical companies, and scientific journals.

Skills

Machine Learning
Generative Models
Python
TensorFlow
PyTorch
Biological Concepts
Multimodal Learning
ML Infrastructure
Data Labeling
Dataset Creation

Biorender

Online platform for creating scientific illustrations

About Biorender

BioRender provides an online platform for creating scientific illustrations tailored for the life sciences field. Users can access thousands of pre-drawn icons and templates covering over 30 life sciences disciplines, allowing scientists, researchers, and educators to produce professional and visually appealing figures efficiently. The platform's user-friendly interface enables clients, including academic researchers, pharmaceutical companies, and educational institutions, to create figures for research papers, presentations, and educational materials with minimal effort. BioRender operates on a subscription model, offering various plans to suit different user needs, including enterprise solutions for larger organizations. The company's goal is to simplify the process of creating high-quality scientific illustrations, making it an essential resource for effective scientific communication.

Toronto, CanadaHeadquarters
2017Year Founded
$16.7MTotal Funding
SERIES_ACompany Stage
Biotechnology, Education, HealthcareIndustries
201-500Employees

Benefits

Remote Work Options
Flexible Work Hours

Risks

AI-driven design tools may reduce demand for BioRender's platform.
Increased competition from cheaper visualization platforms could erode market share.
Potential IP disputes over pre-drawn icons could lead to legal challenges.

Differentiation

BioRender offers a vast library of customizable icons and templates for scientists.
The platform provides a user-friendly interface for creating professional scientific figures.
BioRender serves diverse clients, including academia, biotech, and pharmaceutical companies.

Upsides

Increased demand for digital communication boosts need for scientific visualization tools.
Growing interest in graphical abstracts enhances research visibility and accessibility.
Open-access publishing trend increases demand for high-quality, appealing figures.

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