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Open nowPosted 28 hours ago

AI Scientist

Network Bio2 open roles

Where
Seattle, WA or Palo Alto, CA
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Your applicationOpen nowAI ScientistNetwork Bio · Seattle, WA or Palo Alto, CA

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Network Bio's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

8.2% of postings close within 7 days. Measured by our own scanner across the market. Network Bio postings stay open a median of 3 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.6%3 days
  3. 8.2%7 days
  4. 15.2%14 days
  5. 34.0%30 days
This job: posted 28 hours ago

Network Bio median: 3 days open

The posting

About Our Company

We are an innovative biomedical data company dedicated to helping healthcare institutions realize the full value of their biobanks. Through trusted, long-term partnerships, we are building a secure, de-identified repository of clinical and molecular data designed to accelerate precision medicine research. Our platform integrates streamlined biobanking with advanced data analytics, enabling faster diagnostics and the development of breakthrough therapies. Founded in 2022, we are supported by leading investors including S32, Breyer Capital, Founders Fund, and JSL Health Capital.

Role Overview

We are in search of an AI Scientist to join our computational team, where our core work spans three domains: Artificial Intelligence, Bioinformatics and Software Engineering. If you’re looking to join a core group of highly motivated, versatile professionals with demonstrated expertise in applications of artificial intelligence for biomedical discovery, please read on.

The Domains We Navigate

1. Machine Learning:

  • Design, optimize, and validate deep-learning models for high-dimensional biological data including histopathological slides, spatial transcriptomics, and structured clinical datasets.
  • Translate biological insights into modeling strategies.
  • Support model interpretability, robustness, and validation in regulated or translational research contexts.

2. Agentic AI:

  • Architect and build agentic AI systems that reason over multiple steps, plan autonomously, and orchestrate external tools.
  • Develop LLM-driven agents that retrieve, prioritize, and synthesize evidence with memory and feedback loops that let them revise hypotheses and adapt as new data emerges.
  • Engineer production-grade infrastructure that unifies structured and unstructured biomedical data at scale, and rigorously assess the robustness, reliability, and interpretability of autonomous systems operating in high-stakes clinical contexts.

3. Software Engineering:

  • Apply software engineering best practices to ensure reproducible and efficient scientific discovery.
  • Develop tools and services that support experiment tracking, reproducibility and quality control.
  • Perform software validation and documentation in research or regulated diagnostic contexts.

How We Work

We believe a small team can operate with speed, precision and efficiency by leveraging modern productivity tools. We expect you to:

  • Broaden Knowledge Base: Harness new biological concepts and technical skills outside your primary expertise rapidly.
  • Accelerate with Logic: Leverage AI coding agents for implementation and testing. You focus on architectural rigor and system logic.
  • Think Critically: Act as the ultimate auditor to identify subtle AI-generated hallucinations in code or scientific reasoning before they reach our systems.

Who You Are

  • First-author contribution to state of the art AI model publications in competitive journals or conferences.
  • Proven ability to drive end-to-end development on major projects.
  • Ph.D. in Machine Learning, Bioinformatics, or a related field. Open to recent Ph.D. graduates, postdocs, and early-career candidates with up to 5 years of post-Ph.D. experience.

More About Us

At Network Bio, you’ll thrive in a dynamic, fast-paced startup environment where innovation and impact happen daily. Our hybrid work model blends the flexibility of remote work with the energy of in-person collaboration. We foster an inclusive, team-driven culture where every voice matters, ideas are valued, and opportunities for growth and advancement are built into our DNA.

Join us and be rewarded with a competitive compensation package that includes salary and equity, giving you a stake in our shared success. Beyond the numbers, you’ll have the rare opportunity to make a direct, visible impact in a mission-driven organization at the forefront of life sciences innovation, where your work contributes to breakthroughs that can transform patient care and advance the future of precision medicine.

The salary range for this position is $145,000 - $175,000 for the Scientist level and $180,000 - $215,000 for Senior Scientist. This represents a good-faith estimate of what we reasonably expect to pay for this role; actual compensation will depend on factors including experience, qualifications, and location. This range does not include bonus, equity, or benefits. This role is eligible for company benefits, including medical, vision, dental, and 401(k).

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  1. A CV for this posting

    Written against Network Bio's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Network Bio's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

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