Hacker Newsnew | past | comments | ask | show | jobs | submit | gugenflop's commentslogin

Pinch (bookpinch.com) | Product Designer | Full-time | Chicago, IL or remote

Pinch is tech-enabled concierge med spa. We empower healthcare entrepreneurs by enabling Nurse Practitioners to deliver aesthetic services directly to clients in the comfort of their own homes.

Pinch is seeking it's first product designer. We are looking for a UX-focused designer who is eager to work at an early-stage startup where they can wear many hats and make a big impact on the product.

Email me: jonah [@] pinchmed.com. Include what excites you about the role and why you think you might be a good fit.


Prenosis (https://prenosis.com/) | Data Engineer | Full Time | Chicago, US | Partial remote

Prenosis is a health tech innovator devoted to ushering in a new era of precision diagnostics in acute care using artificial intelligence. We leverage machine learning algorithms trained on deep biological and broad clinical data. We are focusing on sepsis, and are building the largest and fastest growing hybrid biomarker/clinical dataset for sepsis care.

We are a small startup, and are looking for our first data engineer.

Responsibilities:

- Evangelize data best-practices throughout the company

- Build and manage a robust and scalable data pipeline

- Decide on data pipeline architecture and tools

- Build internal tools to empower data scientists to manage and use the data pipeline

- Work closely with data scientist and product engineers to understand the data pipeline requirements

- Make sure data is available and accessible for data science and machine learning

- Help set up our MLOps process, infrastructure, and tools

Apply or questions: jonah.ellman@prenosis.com


Prenosis | Machine Learning Engineer | Full Time | Onsite (remote during COVID) | Chicago, IL | 100-130k | www.prenosis.com Prenosis is an early stage molecular diagnostics company specializing in infectious disease and critical care. The basic premise is utilizing the combination of electronic medical record (EMR) data with novel biomarker measurements to make predictions of clinically relevant outcomes. These predictions are then used to ultimately guide treatment decisions. We're currently hiring a machine learning engineer. At a high level, you will work to facilitate the growth of our proprietary NOSIS dataset and to build and deploy machine learning algorithms into real world products integrated into hospital systems. You will be working with a diverse group of people including assay scientists, statisticians, clinicians, and quality/regulatory specialists.

Technologies we use: Python, R, Django, Flask, React, PostgreSQL, Docker, AWS, SMART on FHIR

If interested, send an email to jonah.ellman@prenosis.com


Prenosis | Software Engineer, Applied Machine Learning | Full Time | Onsite (remote during COVID) | Chicago, IL | 90-130k | www.prenosis.com Prenosis is an early stage molecular diagnostics company specializing in infectious disease and critical care. The basic premise is utilizing the combination of electronic medical record (EMR) data with novel biomarker measurements to make predictions of clinically relevant outcomes. These predictions are then used to ultimately guide treatment decisions.

We're currently hiring a backend or full-stack software engineer, ideally with machine learning/data science familiarity or experience. At a high level, you will work to facilitate the growth of our proprietary NOSIS dataset and to build and deploy machine learning algorithms into real world products integrated into hospital systems. You will be working with a diverse group of people including assay scientists, statisticians, clinicians, and quality/regulatory specialists.

Technologies we use: Python, R, Django, Flask, React, PostgreSQL, Docker, AWS, SMART on FHIR

If interested, send an email to jonah.ellman@prenosis.com


Prenosis | Software Engineer, Applied Machine Learning | Full Time | Onsite (remote during COVID) | Chicago, IL | 90-130k | www.prenosis.com

Prenosis is an early stage molecular diagnostics company specializing in infectious disease and critical care. The basic premise is utilizing the combination of electronic medical record (EMR) data with novel biomarker measurements to make predictions of clinically relevant outcomes. These predictions are then used to ultimately guide treatment decisions.

We're currently hiring a backend or full-stack software engineer, ideally with machine learning/data science familiarity or experience. At a high level, you will work to facilitate the growth of our proprietary NOSIS dataset and to build and deploy machine learning algorithms into real world products integrated into hospital systems. You will be working with a diverse group of people including assay scientists, statisticians, clinicians, and quality/regulatory specialists.

Technologies we use: Python, R, Django, Flask, React, PostgreSQL, Docker, AWS, SMART on FHIR

If interested, send an email to jonah.ellman@prenosis.com


Consider applying for YC's Winter 2026 batch! Applications are open till Nov 10

Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: