Company
Relation Therapeutics overview
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.
Opportunity
Relation Therapeutics seeks to recruit a Data Engineer in the Data and Engineering team. The successful candidate will be responsible for developing compute and data pipelines. We are building a pharmaceutical company from the ground up, so it is an excellent opportunity for someone to join the team in developing critical aspects of the company.
The role comes with open responsibilities and involves close collaboration with Relation’s ML and Data Science teams. 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, HPC architecture to data architecture. There will also be opportunities to interact with our world class scientific advisory board.
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, make a positive impact in patients lives.
Role Responsibilities
Develop tooling for data management at scale (Typically in Terabytes)
Development of Data Mesh architecture for multiple teams to work in a bottleneck free manner.
Support implementation of 3rd party machine learning infrastructure.
Onboard ML and data science teams on platforms developed.
This role would grow into a solution architect role in the future.
Professionally you have:
handled independent projects in the past.
4+ years of experience writing production-ready code.
experience building data pipelines for machine learning.
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.
awareness of Graph databases such as Neo4j and Typedb and ORM models for databases (optional).
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
Please email Dr Jyothish Soman at jyothish@relationrx.com with a cover note and CV to apply for this position.
Relation Therapeutics is a committed equal opportunities employer.
Application deadline: 29th April 2022