Flatiron Health

Flatiron Health

London, England
2,500 Total Employees
Year Founded: 2012

Offices at Flatiron Health

Hybrid Workplace

Employees engage in a combination of remote and on-site work.

At Flatiron, attracting and inspiring a diverse team is essential to our success. Our hybrid work approach, built on flexibility and clarity, allows you to choose your office days while optimizing productivity and well-being.

Typical time on-site: 3 days a week

Global Office Locations

London, England
London Office

Our London office at Merchant Square, located in a WeWork, offers modern, dedicated workspaces for both focus, heads down time and collaboration. Just steps from Paddington Station, it has easy transit access and is surrounded by cafes, restaurants, and green spaces.

Search the 4 jobs at Flatiron Health

2 Days Ago
London, Greater London, England, GBR
Hybrid
Healthtech • Software • Biotech • Pharmaceutical
In this role, you will manage the Flatiron FORUM initiative, facilitating collaborations and supporting client engagement with stakeholders in the UK and Europe. Responsibilities include project planning, coordinating meetings, tracking client needs, and ensuring timely delivery of research publications.
8 Days Ago
London, Greater London, England, GBR
Hybrid
Healthtech • Software • Biotech • Pharmaceutical
The Staff Data Scientist will lead machine learning model development projects, collaborate with cross-functional teams, and interface with internal stakeholders to extract clinically relevant data for cancer research. Responsibilities include managing data scientists, shaping machine learning strategy, and validating models with oncologists to generate scientific insights.
8 Days Ago
London, Greater London, England, GBR
Hybrid
Healthtech • Software • Biotech • Pharmaceutical
As a Data Science Manager, you will lead machine learning model development projects, provide technical leadership, interface with scientific stakeholders to gather required data for research, and mentor data scientists. Your goal will be to enhance the efficiency of data processing in cancer care through advanced machine learning techniques.