Senior Software Engineer
Flatiron Health is hiring a Senior Software Engineer in London, United Kingdom. Level rates it ; you can apply on Flatiron Health.
Level's read on this job
- Level rates this software engineer role Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Databricks, data pipelines and deep learning.
- Level classifies it as a senior role.
- Level lists 22 other open roles at Flatiron Health.
AI in this role
Senior Software Engineer building data pipelines and expanding deep learning and LLM-powered clinical data extraction for healthcare analytics.
We’re looking for a Senior Software Engineer to help us accomplish our mission to improve and extend lives by learning from the experience of every person with cancer. Are you ready to be the next changemaker in cancer care?
Flatiron Health is a healthtech company using data for good to power smarter care for every person with cancer, around the world. Flatiron partners with cancer centers in the US, Europe and Asia to transform patients’ real-life experiences into real-world evidence and create a more modern, connected oncology ecosystem. Our multidisciplinary teams include oncologists, data scientists, software engineers, epidemiologists, product experts and more. Flatiron Health is an independent affiliate of the Roche Group.
What You'll Do
This role will design and develop technology in partnership with other software engineers in the US, UK, Germany, and Japan. Additionally, this role will collaborate day-to-day with oncologists, clinicians, product leaders, quantitative scientists, and customers to understand their challenges and how technology can help solve them.
- Create new or enhance existing business critical, complex data pipelines using a variety of data processing tools and automation
- Expand our capabilities in Deep Learning and LLM-powered extraction of clinical insights from global datasets
- Devise creative solutions for technical and business challenges to help the team scale
- Contribute to shaping the direction of team roadmaps and technology development
- Help build our European engineering teams and company culture as we grow
- Rapidly iterate on products while maintaining engineering practices that ensure quality and security
- Bring or develop a deep knowledge of healthcare in the UK, including data sources, security, privacy, information governance requirements, and emerging trends
Who You Are
You're a kind, passionate and collaborative problem-solver who values the opportunity to think beyond the way things are. You're excited by the prospect of working on difficult and meaningful problems each day. You seek and give candid feedback, and value the chance to make an important impact on cancer patients and society.
- You’re a data engineer with 4-8 years of relevant professional experience
- You are excited to work in a startup environment, think creatively and be scrappy to get the job done
- You are excited about working in a passionate, fast-paced, technology-driven culture
- You have a nose for value and empathy for your customers
- You have experience with agile development environments using object-oriented programming languages (e.g. Python, C#, SQL), but are also language agnostic and willing to pick up new programming languages as needed
- You have experience working with cloud platforms like AWS and data warehouse solutions like Snowflake
- You have experience with data processing and orchestration tools such as Databricks, Spark, Ray, DBT, Prefect, and/or Airflow
- You act as an expert in your domain area, and as a partner with product teams
- You understand the purpose of “boring” technology (as described in this blog post) and are willing to use the right tools to get the job done
- You can collaborate and easily explain technical terms to a non-technical, highly sophisticated audience; you have superior communication skills
- You are comfortable with ambiguity and always willing to teach and learn
- You are fluent in English
Optional
- You have experience working in healthcare in the UK or exposure to healthcare-related standards like HL7
- You hold a Bachelors, Masters, and/or Ph.D. in computer science or a related field
- You have experience in infrastructure, devops, or security engineering
Who We Are
Our people are at the centre of everything we do. We strive to foster a culture where our teammates feel equipped and empowered to make meaningful contributions with confidence, compassion, and clarity.
How we rate this
Senior Software Engineer at Flatiron Health rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- Typical software engineer job
- $168k
This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs
Questions you could be asked
- Tell me about a project where data pipelines was part of your work. What did you do?
- Tell me about a project where deep learning was part of your work. What did you do?
- Tell me about a project where llm was part of your work. What did you do?
- Tell me about a project where healthcare was part of your work. What did you do?
- Tell me about a project where data engineering was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Data Pipelines, Deep learning, LLM, Healthcare, and Data Engineering. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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