Data Scientist - Explainable ML w/ Health Data (5-6 mo. contract)

Contract Data Scientist - Explainable ML w/ Health Data (5-6 mo. contract) at Patchd Medical (United States)

Data Scientist - Explainable ML w/ Health Data (5-6 mo. contract)

Patchd Medical United States

Date Posted: 08 Dec, 2022

Work Location: San Francisco, United States

Salary Offered: $156000 — $197600 yearly

Job Type: Contract

Experience Required: 3+ years

Remote Work: Yes

Stock Options: No

Vacancies: 1 available

Help Patchd build the first ever at home sepsis surveillance system. Sepsis kills 11 million people every single year, but 9 million of those people could have been saved if there had been a way to intervene early. At Patchd, we are building algorithms to make predicting sepsis at home possible. As a data scientist, you will tackle time-series based machine learning problems to help build the next generation of algorithms that will provide early prediction for these patients and their doctors.

This role is for an NIH-funded contract with an opportunity for a full-time position after if desired. You will be working with electronic medical record (EMR) data to build and validate explainable machine learning models. You will work directly with the CTO to develop these models for high-risk patients and in the process, develop an understanding of the pathophysiology of sepsis and the challenges currently in the field. You’ll play a pivotal role in improving our core technology and have end-to-end ownership of your tasks and projects.

In this role you will:

• Train, tune and validate machine learning models using Tensorflow, Python and GCP cloud infrastructure.
• Clean, organize and manipulate time-series data from hundreds of thousands of patient records.
• Use techniques like LIME, SHAP, and recent temporal pattern mining (RTP) to develop explainable machine learning models.
• Develop tooling for running experiments.

We are looking for:

• Experience applying machine learning (in particular deep learning) to health data, time series problems or both.
• Experience or a keen interest in healthcare, medicine or biology.
• Knowledge of programming and machine learning tools including Python, SciPy/NumPy/Pandas, TensorFlow, Git and cloud computing platforms.
• Bonus: Experience with research in a quantitative field like CS, physics, EE, computational biology (PhD, Masters or other projects).

About Patchd

Patchd (patchdmedical.com) is a Y Combinator and VC backed startup, based in San Francisco. Our mission is to help significantly reduce the 11 million deaths that occur every single year from sepsis. We monitor high-risk patients who are at home (e.g., chemotherapy, end-stage renal disease or organ transplant) for sepsis and when we detect sepsis is likely, we alert the treating team who can intervene. By detecting sepsis outside of hospitals using non-invasive monitoring and AI/ML models, we should be able to change the trajectory of a patient and prevent both death and permanent disability.