Healthcare Agents

Founders

Dr. Andrew Critch

CEO & Co-founder

Andrew is deeply motivated to steer AI technology in a direction that is positive and healthy for humans and humanity. In the long term, Andrew feels that AI should primarily be used to care for and nurture humans, rather than controlling or overtaking human society, and he sees healthcare as the best industry sector for setting that precedent. Immediately prior to founding Encultured and HealthcareAgents, Andrew spent 5 years working as a full-time research scientist at UC Berkeley, within the Center for Human-Compatible AI (CHAI), where he retains a part-time appointment. In 2017, Andrew also co-founded the Berkeley Existential Risk Initiative, a non-profit dedicated to improving humanity’s long-term prospects for survival and flourishing, where he volunteered as Executive Director for three years, and now volunteers as President. Andrew also established the Survival and Flourishing Fund and Survival and Flourishing Projects with the support of philanthropist and HealthcareAgents co-founder Jaan Tallinn, and co-developed the S-process for philanthropic grant-making.

In 2013, Andrew earned his Ph.D. in mathematics at UC Berkeley studying applications of algebraic geometry to machine learning models. During that time, he cofounded the Center for Applied Rationality (CFAR) and the Summer Program on Applied Rationality and Cognition (SPARC). He was offered university faculty and research positions in mathematics, mathematical biosciences, and philosophy, worked as an algorithmic stock trader at Jane Street Capital’s New York City office (2014-2015), and as a Research Fellow at the Machine Intelligence Research Institute (2015-2017).

Most recently, Andrew had the good sense to be super-impressed by Nick’s amazing engineering skills and realized they should found a company together :)

critch@healthcareagents.com

Dr. Nick Hay

CTO & Co-founder

Nick wants to ensure that powerful AI is developed for the benefit of humanity, and believes that to do this we need a good understanding not only of artificial intelligence but also of human intelligence, including deep questions about human minds and culture spanning anthropology, cognitive linguistics, and neuroscience. Prior to founding Encultured and HealthcareAgents, Nick spent 5 years at Vicarious AI working on approaches to artificial general intelligence (AGI) grounded in real-world robotics. In 2015, Nick earned his PhD at UC Berkeley under Professor Stuart Russell applying reinforcement learning and Bayesian analysis to the metalevel control problem: how can an agent learn to control its own computations.

Nick first began thinking deeply about the impact of AI on humanity upon reading Eliezer Yudkowsky’s Creating Friendly AI in 2001, subsequently interning at MIRI in 2006 and attending the Singularity Summit in 2007. Originally hailing from New Zealand, Nick is still getting used to walking upside down.

nick@healthcareagents.com

Jaan Tallinn

Chief Strategy Officer & Co-founder

Jaan Tallinn is a founding engineer of Skype and Kazaa. He is a co-founder of the Cambridge Centre for the Study of Existential Risk (cser.org), the Future of Life Institute (futureoflife.org), and philanthropically supports other organisations tackling existential and catastropic risk. Jaan serves on the AI Advisory Body at the United Nations, on the Board of the Center for AI Safety (safe.ai), and the Board of Sponsors of the Bulletin of the Atomic Scientists (thebulletin.org). He has previously served on the High-Level Expert Group on AI at the European Commission, as well as on the Estonian President’s Academic Advisory Board. He is also an active angel investor (metaplanet.com), a partner at Ambient Sound Investments (asi.ee), and a former investor director of the AI company DeepMind (deepmind.google).

Career Openings

Job: Full-Stack Developer for RAG Applications

Job: MD-Qualified Research & Development Specialist for AI-assisted Medical Reasoning

Job: Communications Assistant

►Job: Full-Stack Developer for RAG Applications

This position is for full-stack developers with quickly demonstrable aptitude for building retrieval-augmented generation (RAG) workflows using large language models (LLMs).

Compensation

Starting between $210k-$350k per year plus stock options, depending on experience and your preference of cash vs equity vesting over 5 years, along with healthcare benefits. Raises may also become available with good individual performance or team-wide accomplishments that expand our revenue stream. We also offer a Safe-Harbor 401(k) with the IRS maximum employer matching.

Location

Berkeley / SF bay area. We work in-person at our office in Berkeley for three days per week, and on other days we have the option of working from the office or from home. Fully remote work may be an option for very strong candidates.

Qualifications

In this role we need candidates with:

Strong full-stack web development experience; and
Demonstrable ability to develop retrieval-augmented generation (RAG) workflows with LLMs. This means either prior experience with RAG development, or the ability to quickly and independently skill up on RAG development prior to interviewing.

We generally require candidates who have received a Bachelor’s degree or above in computer science, physics, mathematics, or a closely related field, but could make exceptions for candidates with an established professional track record.

The following are not required, but our team will welcome and make good use of experience with:

training, fine-tuning, and evaluating LLMs, and/or development of commercially scaled LLM products,
statistical know-how sufficient to write critical evaluations of published research papers,
personal or professional engagement in medical research,
working in the healthcare industry,
machine learning interpretability research and/or debugging tools, and/or
PhD-level research and writing.

Apply as a Full-Stack Developer for RAG Applications

►Job: MD-Qualified Research & Development Specialist for AI-assisted Medical Reasoning

This position requires an MD and at least 2 years of prior experience as a clinician, to research and develop products for deep clinical decision support using large language models, vector databases, retrieval augmented generation, and probabilistic analysis of medical data.

Compensation

Starting between $210k-$350k per year plus stock options, depending on experience and your preference of cash vs equity vesting over 5 years, along with healthcare benefits. Raises may also become available with good individual performance or team-wide accomplishments that expand our revenue stream. We also offer a Safe-Harbor 401(k) with the IRS maximum employer matching.

Location

Berkeley / SF Bay Area. We work together in-person at our office in Berkeley for three days per week, and on other days we have the option of working from the office or from home.

Qualifications

In this role we need candidates with:

An MD and at least 2 years of clinical experience as a treating physician;
fluency in probabilty and statistics sufficient to write critical evaluations of published medical research, including Bayesian statistics.
Familiarity with industry standards for the handling of electronic medical records, including the transmission, storage, categorization, and presentation of medical information through EHR/EMR systems.
Broad familiarity with clinical diagnostic procedures and philosophies accross a range of medical specialties, and the ability to explain the relevance of those procedures and philosophies to how we handle and analyze medical records.

The following are not required, but our team will welcome and make good use of experience with:

medical research, writing, and publication;
healthcare regulatory frameworks;
full-stack web development;
product management;
retrieval-augmented generation (RAG) in software development, including with vector databases;
training, fine-tuning, and evaluating LLMs, and/or development of commercially scaled LLM products;
machine learning interpretability research and/or debugging tools.

Apply as an R&D Specialist

►Job: Communications Assistant

This job is for candidates with strong verbal and written communication skills, for communicating with and on behalf of our staff and clients about healthcare and related personal tasks.

Compensation

Starting at approximately $100k per year plus stock options vesting over 5 years, along with healthcare benefits. Raises may also become available with good individual performance or team-wide accomplishments that expand our revenue stream. We also offer a Safe-Harbor 401(k) with the IRS maximum employer matching.

Location

Berkeley / SF bay area. We work in-person at our office in Berkeley for three days per week, and on other days we have the option of working from the office or from home.

Qualifications

An emotional capacity to be:

caring and supportive toward our clients,
assertive on their behalf,
empathetic and respectful towards other persons and institutions we interact with throughout our work, and
respectful of our company priorities and values determining what we do, how we scale, and how we keep our business sustainable.

Sound social judgment for deciding when and how to be

assertive? resigned? flexible?
appreciative? accepting? critical?
apologetic? sympathetic? compassionate?
patient? eager? demanding?

Comfort and proficiency with

telephone, email, instant messaging, and various other modes of communication;
time-tracking apps for logging which clients you are representing and when;
spreadsheets for organizing and reporting on responsibilities.

Curiosity and capacity for

learning and understanding the responsibilities of third-parties such as hospitals and doctors' offices, so you know what's reasonable to expect from them and and how to ask for things;
searching online to find doctors, clinics, specialists, and specific services needed by our clients;
practicing verbal communication in training scenarios for potentially difficult tasks; and
juggling your own responsibilities responsibly according to the changing needs of our clients and business, which sometimes means saying no to new tasks when overloaded.

The following are not required, but our team will welcome and make good use of experience with:

prompt engineering for language models,
research in a professional capacity (e.g., internships), and/or
working in the healthcare industry.

To apply for this position, please demonstrate your communication skills by sending an email describing your interest and qualifications in 1000 words or less, to:
contact@healthcareagents.com.

Please include a link to your LinkedIn or resume at the top. It's fine to link to other external materials as references, but also please try to make the message useful and readable on its own without having to open links to understand it.

What we do
Doctors are busy. Research is hard. Self-diagnosis is messy.

Will AI make things better, or worse? We think both, and our team of human researchers and patient advocates are here to help.

We advocate for patients to get them early access to AI-enhanced healthcare services, including:

• AI-assisted doctors
• cutting-edge diagnostics, and
• case-relevant medical research.

We're also researching product ideas to scale these opportunities to serve a larger audience in the future.

What we don't do
We don't provide treatment or medical advice. That's a clinician's job.

What's our edge?
Our approach as researchers is to identify useful questions that are helpful to both patients and clinicians:

• For patients, we aim to calculate:
argmax_X Value("Ask your doctor about {X}.")

• For clinicians, our sister business BayesMed aims to calculate:
argmax_Y Value("Would it help to know more about {Y}?")

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