Geplaatst op 25 november 2019 (Verloopt over 28 dagen)

Olivier Povel

Work on PERISCOPE. It accurately predicts infections after surgery 5 days prior to the average diagnosis and plugs into the hospital’s electronic health records.

PERISCOPE is one of our first tools. It accurately predicts infections after surgery 5 days prior to the average diagnosis and plugs into the hospital’s electronic health records. This creates a longer window for the medical team to personalize care, upgrade monitoring for the right patient, and decrease infections and sepsis. We currently work with over 20 hospitals spread across several countries and we have partnered with several major healthcare IT players. In the coming year, we are looking at getting CE marked, finishing several clinical trials, growing sales to pass $1M and start exponential growth with our shared-value business model.

About you

A very creative person. You are interested in the newest technologies and applying them to good. You are proactive, intelligent, independent in your work and collaborative when brainstorming or helping others. You like to work hard and learn in a small start-up that is growing. You can (quickly learn to) find solutions to problems and/or suggest a way how to avoid them. You can find the right trade-off between an elegant solution and practical implementation. You can also communicate complex concepts and have the patience for documenting your solutions.

- Have or finishing a BSc or MSc in related fields:

  • Computer Science

  • Machine Learning

  • Mathematics

- Minimum requirements - knowledge of:

  • Bash

  • Git

  • Python (pandas, numpy, jupyter)

  • ML algorithms (sklearn, tensorflow/pytorch or similar)

- Plus points for knowledge of any of the following:

  • Data engineering principles, Lambda architecture

  • Flask, GRPC, Docker, Kubernetes, Dask, Apache Beam, Spark, GCP

  • JS-based SPA web-technologies: HTML/CSS/JS, ReactJS, etc.

- Share our core beliefs as we stand for

  • Being yourself and being candid

  • Focusing on patient, end-user, and employees

  • Delivering the best care requires an ecosystem of team players

  • A drive for impact

What do we have to offer

  • Work in a small team with a lot of talent and experience in diverse areas, and a lot of room for initiative and new ideas

  • Work for leading hospital clients and partners around the world

  • Work on new technology and a new approach to clinical work

  • Free lunch every day

  • A great location at TQ City, a Google for Start-up’s location, with a community of the fastest-growing tech companies in the Netherlands

Applicants should send a CV plus a short application letter explaining their motivations and expectations regarding the advertised role. The selected applicants will be sent a technical test and those who pass it will be invited for an online call via Skype (or similar).

    Hoe jouw week er bij ons gaat uitzien:
  1. 1

    Maandag

    What you would be doing You will be helping with the whole machine learning lifecycle: Design and implement data engineering pipelines that will validate, process and analyze data efficiently under deployment constraints Building pipelines that will run, validate, deploy and monitor machine learning models efficiently under deployment constraints Prototype UIs and corresponding APIs for interaction with the models

  2. 2

    Dinsdag

    What you would be doing You will be helping with the whole machine learning lifecycle: Design and implement data engineering pipelines that will validate, process and analyze data efficiently under deployment constraints Building pipelines that will run, validate, deploy and monitor machine learning models efficiently under deployment constraints Prototype UIs and corresponding APIs for interaction with the models

  3. 3

    Woensdag

    What you would be doing You will be helping with the whole machine learning lifecycle: Design and implement data engineering pipelines that will validate, process and analyze data efficiently under deployment constraints Building pipelines that will run, validate, deploy and monitor machine learning models efficiently under deployment constraints Prototype UIs and corresponding APIs for interaction with the models

  4. 4

    Donderdag

    What you would be doing You will be helping with the whole machine learning lifecycle: Design and implement data engineering pipelines that will validate, process and analyze data efficiently under deployment constraints Building pipelines that will run, validate, deploy and monitor machine learning models efficiently under deployment constraints Prototype UIs and corresponding APIs for interaction with the models

  5. 5

    Vrijdag

    What you would be doing You will be helping with the whole machine learning lifecycle: Design and implement data engineering pipelines that will validate, process and analyze data efficiently under deployment constraints Building pipelines that will run, validate, deploy and monitor machine learning models efficiently under deployment constraints Prototype UIs and corresponding APIs for interaction with the models

Werken bij Healthplus.ai

In the centre of Amsterdam we strive to make a hugely scalable impact in the Medical sector partnering using the latest Machine Learning technologies with the worlds largest healthcare IT players.

Meer over Healthplus.ai healthplus.ai
  • Type bedrijf

    Klein (< 20)

  • Locatie

    Amsterdam

    Gerelateerd

    Timing is everything!

    Blijf op de hoogte van de nieuwste vacatures binnen jouw vakgebied.