Harnham
Machine Learning Engineer
Healthcare | Human Behaviour | Predictive ML
Washington, D.C. | Hybrid (Tues & Thurs in-office)
Up to $140,000 + Equity + Benefits
Are you passionate about applying machine learning to real-world healthcare challenges? Want to help decode why patients behave the way they do, and use that to improve health outcomes at scale?
Harnham is working with a
mission-driven, human-centric AI company
using cutting-edge behavioural data and predictive modelling to transform healthcare delivery. Their proprietary platform delivers deep insight into what drives patient decisions, and they're looking for a
Senior Data Scientist/MLE
to lead the next evolution of this powerful asset.
THE ROLE
As a
Senior Data Scientist/MLE , you'll own the development of their flagship socio-behavioural data product - refining large-scale ML models, integrating new datasets (including geospatial data), and leading scientific validation. You'll collaborate across Product, R&D, and Client teams to embed behavioural intelligence into pharma solutions that drive real-world impact.
This is a high-impact, strategic role in a fast-paced, purpose-led start-up environment.
YOUR RESPONSIBILITIES Lead the ML development and validation of a large-scale socio-behavioural data product Build and optimize hundreds of models using
Python
and
Databricks Identify and integrate novel data sources to enrich behavioural insights Collaborate cross-functionally to bring insights into real-world pharma use cases Ensure fairness and scientific rigour in all models, especially across diverse populations YOUR SKILLS
5+ years of experience building ML models using large healthcare or behavioural datasets Expert-level Python and strong Databricks proficiency Deep interest in behavioural science and its impact on health outcomes Strong technical voice with a hands-on approach to scalable data science Thrives in a collaborative, entrepreneurial setting WHAT'S ON OFFER?
Up to $140,000 base + Equity Unlimited PTO + 11 holidays 401k employer match Hybrid working: 2 days/week in D.C. office
If you are interested, Apply!
Healthcare | Human Behaviour | Predictive ML
Washington, D.C. | Hybrid (Tues & Thurs in-office)
Up to $140,000 + Equity + Benefits
Are you passionate about applying machine learning to real-world healthcare challenges? Want to help decode why patients behave the way they do, and use that to improve health outcomes at scale?
Harnham is working with a
mission-driven, human-centric AI company
using cutting-edge behavioural data and predictive modelling to transform healthcare delivery. Their proprietary platform delivers deep insight into what drives patient decisions, and they're looking for a
Senior Data Scientist/MLE
to lead the next evolution of this powerful asset.
THE ROLE
As a
Senior Data Scientist/MLE , you'll own the development of their flagship socio-behavioural data product - refining large-scale ML models, integrating new datasets (including geospatial data), and leading scientific validation. You'll collaborate across Product, R&D, and Client teams to embed behavioural intelligence into pharma solutions that drive real-world impact.
This is a high-impact, strategic role in a fast-paced, purpose-led start-up environment.
YOUR RESPONSIBILITIES Lead the ML development and validation of a large-scale socio-behavioural data product Build and optimize hundreds of models using
Python
and
Databricks Identify and integrate novel data sources to enrich behavioural insights Collaborate cross-functionally to bring insights into real-world pharma use cases Ensure fairness and scientific rigour in all models, especially across diverse populations YOUR SKILLS
5+ years of experience building ML models using large healthcare or behavioural datasets Expert-level Python and strong Databricks proficiency Deep interest in behavioural science and its impact on health outcomes Strong technical voice with a hands-on approach to scalable data science Thrives in a collaborative, entrepreneurial setting WHAT'S ON OFFER?
Up to $140,000 base + Equity Unlimited PTO + 11 holidays 401k employer match Hybrid working: 2 days/week in D.C. office
If you are interested, Apply!