Software Engineer
Causalis is a VC-backed startup partnering with the world’s leading pharma companies, building machine learning solutions to bring causal intelligence to healthcare. We are developing a platform of solutions based on novel and proprietary causal AI techniques, to help doctors, patients, and researchers understand and act on the cause-effect relationships in medical data. We are a multi-disciplinary, international team of experts in AI and ML, causal inference and data science, healthcare and medicine. We are looking for smart, driven and overall extraordinary individuals who are passionate about changing the world of personalized medicine, and eager to shape the future of Causalis.
Please contact us with CV/resume at hello@causalis.ai.
Software Engineer
We're looking for an experienced Software Engineer to work on data and ML infrastructure. You will help define strategy and execution for our backend (including devops, security and compliance, data ingestion and databases), and ensure that we provide reliable and scalable service internally and externally.
How you’ll contribute:
- Architect and develop health data processing systems for ingestion, integration, storage, and consumption for internal and external users (and at multiple scales)
- Lead the design and development of infrastructure to support MVP and multiple phases of scaling
- Design ETL data models that allow easy storage and retrieval of complex data types from multiple data sources
- Develop logging, metrics, and alerts that enable us to ensure the data pipelines are up to date and functioning
- Collaborate with internal and external software engineers to develop data models and schemas that help provide easy access to complex data sets
- Work with data scientists and ML engineers to help build efficient workflows for experimenting with many varied datasets
Our ideal candidate will bring:
- Experience with secure, scalable and performance tuned data pipelines
- 4+ years of industry experience working with backend systems and platforms
- Experience writing production-level code in Java/Spring
- Passionate about TDD and BDD
- Experience designing and building microservices architecture
- Experience developing CI/CD pipelines, and MLOps infrastructure
- Experience with SQL and NoSQL databases and queries, and designing data schemas
- Excellent communication skills and ability to work with technical and non-technical partners from many teams
Nice to have:
- Strong experience with health/medical data pipelines (including protocols HIPAA, FHIR, etc.)
- Experience in the early-stage startup environment
- Acted as a technical lead for small engineering teams
- Working knowledge of data science
- Fullstack and/or front-end experience
- Familiarity with Docker and Kubernetes
