Head of Machine Learning at Stealth Life Science Startup

ABOUT US 

We are an early stage startup using generative AI to fundamentally change life sciences research and accelerate the pace of biomedical discovery. 

Genomic data are at the heart of most modern molecular studies and tools, from basic research to clinical decision support, but these data are hard to work with. Genomic data require expensive laboratories, sophisticated computational infrastructure, and big teams to produce and analyze. Generating and analyzing genomic data takes weeks or months. We’re building generative AI models to cut that time down to minutes or hours.

Our platform addresses a huge need in the large and rapidly growing use of genomics in research, from basic science to therapeutic development. mRNA therapeutics alone - a subset of the overall market we serve - is projected to be a $100 billion market by 2026. This is an opportunity to be part of a mission to transform life sciences R&D by dramatically accelerating the pace of discovery.

WHO WE ARE

Our team has dedicated their careers to moving the needle in biomedical research and education and has a deep understanding of how to build a transformative product in this space. Our founders each have ~20 years of experience in life sciences, genomic data generation and analysis, and AI/ML and data science. Our team has leading experts in the design, execution, collection, and application of AI/ML methods to large biological studies; has previously led and scaled startups; and are experts in scientific training and enablement. We have lived the problem and are ready to solve it!

WHAT YOU’LL DO IN THIS ROLE

We are looking for a head of machine learning who wants to join our mission and be an early part of building our AI-powered platform at the intersection of machine learning and life sciences discovery.

You will help to set and build out our machine learning program and long-term technical vision: 

• Be part of the founding team to develop and iterate roadmap for model development
• Build generative models for experimental biology data
• Develop and implement evaluation framework and metrics for models
• Apply experiences and insights on the challenges to building forward-focused models that can transform how life sciences data are generated, analyzed, and interpreted 
• Recruit and build out our machine learning team  

TYPICAL QUALIFICATIONS

The best candidates do not always match the limited criteria mentioned in the job description. If you are excited about our vision and feel that you could be a valuable asset to our team, please apply.

This role requires experience with building AI/ML models. The exact types of models can vary, but a desire and ability to learn quickly is essential. An interest in applying your skills to our mission is the key ingredient. 

Tech skills

• Experience building generative models using PyTorch, Tensorflow, JAX, or similar
• Knowledge of common generative architectures, including transformer and diffusion models
• Experience training and deploying AI/ML models in production environments
• Knowledge of cloud computing environments and privacy-preserving architectures
• Experience with Microsoft Azure, AWS, or Google Cloud Platform
• Knowledge of key MLops, including model training, hosted inference options, and both batch and stream processing. 

Experience

• Creating ML teams and models from scratch
• Experience in model development and deployment at scale in either large tech or growth- stage startup companies
• Building models that are relevant to highly technical scientific domains
• No minimum number of years or degree requirements, provided demonstrated understanding of the range of approaches needed (e.g., model architectures, cloud infrastructure, etc.)
• Desired: Ideally, you have recruited, managed, and led a machine learning team
• Desired: Ideally, you have some exposure to or interest in learning about genomic measurement technologies and life sciences research

Approach

• Innovation-focused
• Open-minded and adaptable; willing to change focus and direction quickly in response to product/market demands
• Comfortable working both independently and in close collaboration with your own team as well as other teams with complementary expertise
• Strong communication and desire to be a key player 
• Focused on identifying, developing, and mentoring junior team members

WHY YOU’LL LOVE WORKING WITH US

Our founders have strong reputations as thoughtful, forward-thinking colleagues and mentors who cultivate talent. We