AI / ML Scientist – Single cell and spatial omics

Sampling Human; Berkeley (CA); On-site; USD 90,000 - 150,000; Full time

Job summary

An innovative firm is seeking a talented AI/ML scientist to develop cutting-edge foundation models for genomic data analysis. In this exciting role, you will design and optimize large language models, enhance platform capabilities, and collaborate with a multidisciplinary team. You'll have the opportunity to work with proprietary datasets and a state-of-the-art tech stack, driving impactful health solutions. If you're passionate about building human informatics and pushing the boundaries of AI/ML, this is the perfect opportunity for you.

Qualifications

• Strong understanding of large language models and deep learning.
• Experience with ML frameworks such as TensorFlow and PyTorch.

Responsibilities

• Develop new machine learning algorithms to expand platform capabilities.
• Collaborate with bioinformaticians and data scientists.
• Train and fine-tune models for real-world applications.

Skills

Python

Machine Learning

TensorFlow

PyTorch

Deep Learning

Creative Problem-Solving

Education

PhD in Computer Science

MS in Machine Learning

BS in related field

Job description

We seek an innovative AI / ML scientist to develop foundation models for analyzing high-dimensional genomic data. You will design, optimize, and deploy large language models to extract insights from large datasets uniquely generated by our high throughput platform. The ideal candidate has great mathematical intuition, deep knowledge of single cell / spatial omic data, and experience in implementing modern computational tools.

What you will be working on

• Expand platform capabilities by developing new machine learning algorithms.
• Identify and source diverse training data for foundation model development.
• Design training data generation and simulation algorithms to enhance datasets.
• Increase performance, accuracy, and scalability of our platform.
• Mine latent space representations for novel insights and ontological frameworks.
• Establish validation frameworks and benchmarks.
• Train, validate, and fine-tune models for real-world applications.
• Collaborate with bioinformaticians, data scientists, and engineers.
• Stay at the cutting edge of AI / ML advancements.

What you should know or have

• PhD, MS, or BS in Computer Science, Machine Learning, or related field.
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch).
• Strong understanding of large language models and deep learning.
• Creative problem-solving and ability to work in multidisciplinary teams.

Sampling Human is introducing single-cell and spatial sequencing solutions for clinical applications. We’re revealing a new layer of biological information that enables earlier, more precise insights and drives longer, healthier lives. Our products combine genomic measurements with AI-generated biology in end-to-end data pipelines that redefine what’s measurable at scale.

We’re a small, well-funded, mission-driven team of molecular and cell biologists, software and automation engineers, mathematicians, computer scientists, and business professionals, all building at the convergence of computation and biology. At Sampling Human, you’ll do foundational work, chase ambitious ideas, and deliver products that directly impact health. You’ll also get access to a cutting-edge tech stack and proprietary datasets that uncover the most interesting cells in the human body at scale.

If you want to build human informatics from the ground up, you are in the right place.