Relation Therapeutics strives to discover new biology to cure disease faster, transforming the traditional R&D model: because patients are waiting. Integral to this, Relation combines the power of recommender systems machine learning and large-scale, high-quality data that describes disease biology, to find better ways of targeting pathology and treating patients. To do so, we generate proprietary maps of disease in humans, leveraging human genetics, single-cell omics and perturbational data, so that these powerful models can be deployed at last. Relation’s platform sits in an integrated wet-lab, dry-lab, translational science loop, located in London.
As a Platform Engineer at Relation, you will lead the Site Reliability function and the platform engineering role. As the company rapidly grows, there may be opportunities to manage a team. By joining Relation, you will be part of an exceptionally talented team, learn a broad range of skills within and outside your area of expertise, help us shape our culture and strategic direction and ultimately positively impact patient lives. The person must be knowledgeable in data management and software engineering, especially Python. Experience with data lakes and warehouses will be an added advantage. Each day will bring a unique perspective to the job, ranging from machine learning, CloudOps, and HPC architecture to data architecture.
Design, develop, and maintain Relation’s infrastructure as code (IaC).
Be comfortable working within a research-driven company
Adhere to Relation’s AI standards and ways of working
Help deliver the best in class data mesh and ML architecture.
Give talks on MLOps and architecture at industrial conferences and contribute technical blogs
Remain at the cutting edge of data management.
Professionally, you have :
a bachelor's in computer science or other quantitative disciplines; or equivalent industrial experience.
UNIX / Linux OS knowledge
experience operating in a multi-cloud environment
a track record of delivering complex projects
proven commercial experience in creating, deploying, testing and maintaining machine learning pipelines
professional experience in Python development (preferably with 2 - 5 years of professional experience); must be familiar with modern software engineering practices and modern collaborative tools (e.g. GitHub, Slack, Jira etc.)
advanced knowledge of application, data, and infrastructure architecture disciplines
proficiency in one or more modern programming languages. Python is essential. Kotlin/Java is nice to have.
good knowledge of data tools such as Kafka, S3, boto3 and databases such as MySQL.
Knowledge of data lake and warehouse technologies are good to have.
optionally, awareness of Graph databases such as Neo4j and Typedb and ORM models for databases.
handled independent projects in the past.
4+ years of experience writing production-ready code.
experience building data pipelines for machine learning.
Personally, you are:
a great team player
a clear communicator
driven by impact
humble and hungry to learn
motivated and curious
passionate about making a difference in patients’ lives
Application deadline: 29th April 2022
To apply for this position, please email Jyothish Soman at firstname.lastname@example.org or Lindsay Edwards at email@example.com with a cover note and CV.
Relation Therapeutics is a committed equal opportunities employer.