Machine Learning Researcher - AI for Drug Discovery

Aspire Life Sciences Search; Santa Clara (CA); Remote; USD 120,000 - 160,000; Full time

Job summary

A recently launched biotech company in San Francisco seeks a deep learning expert to join their founding team. This role involves designing and building large-scale models using proprietary biological data. As part of a remote-first setup, you will collaborate with scientists and engineers to tackle complex challenges in pharmaceutical R&D. The company offers equity, competitive compensation, and exceptional mentorship opportunities.

Benefits

Flexible hours

Equity

Competitive compensation

Access to exceptional mentorship

Qualifications

• Design and build large scale multimodal deep learning models.
• Explore novel methods in representation learning and generative modelling.
• Build infrastructure and pipelines for training and deployment.

Responsibilities

• Collaborate with assay scientists and engineers.
• Deliver working tools by turning research into decision making products.
• Shape an open, rigorous, and fast moving research culture.

Skills

Deep Learning

Collaboration

Research Culture

Job description

This is a unique opportunity to join a recently launched San Francisco based biotech that is building foundational AI systems to reshape how new medicines are discovered. Having just emerged from stealth, the company is combining large scale biological imaging, proprietary datasets, and deep learning to tackle some of the most complex and impactful challenges in pharmaceutical R&D. You will be part of the founding research team, working across data generation, model development, and real world deployment.

Founded in 2023 by leading minds in machine learning and biotechnology, this venture backed company is using AI to build better ways of designing and evaluating molecules. They have built one of the largest proprietary biological datasets of its kind, and their models already outperform traditional lab based approaches in internal benchmarks. Operating remotely with a core team in San Francisco, the company is designed for agility, scientific ambition, and close collaboration between ML researchers, biologists, and engineers.

Requirements

• Design and build large scale multimodal deep learning models using proprietary biological and chemical data
• Explore novel methods in representation learning, contrastive pretraining, and generative modelling for molecular and cellular data
• Collaborate with assay scientists, engineers, and founders to guide experimental design for model driven research
• Build infrastructure and pipelines for training, evaluation, and deployment
• Deliver working tools, not just experiments, by turning research into real decision making products
• Help shape an open, rigorous, and fast moving research culture
• This is a full time remote role, with a preference for overlapping hours with US time zones. Travel to San Francisco is optional

Benefits

• Join an ambitious founding team solving high value scientific problems with deep tech
• Remote first setup with flexible hours and optional travel
• Equity and competitive compensation in a well funded, early stage company
• Access to exceptional mentorship across ML, biology, and AI product development
• Work on proprietary, in house generated datasets that offer a genuine edge in research

Recruitment process

Applications are open now. The process includes an introductory call, technical interviews, a research deep dive, and founder discussions. It is designed to be thoughtful and efficient while respecting candidate schedules and locations.

About Aspire Life Sciences

We are a specialist search partner helping scale executive and technical teams across biotech, AI, and life sciences. Our mission is to connect world class people with world changing companies, particularly those working at the convergence of science, engineering, and real world impact. We provide practical guidance and thoughtful introductions to help candidates and companies achieve lasting success.