Relation Therapeutics on cord

Relation Therapeutics

Research Data Engineer

External position
London, UK
Hiring internally for Relation Therapeutics?
BioTech · Machine Learning and AI
Relation Therapeutics uses machine learning to develop drugs for pressing unmet need.
Posted
2 months ago
Checked
cord regularly checks that external positions are still open
16 hours ago

Skills & Experience

Job roles: Data Engineer
Experience level: Mid, Senior
Core skills considered: Python, AWS, Terraform, Data Pipelines, Data Architecture
Other skills considered: Data Warehousing, Airflow, Docker, Kubernetes, Machine Learning

Logistics

Base salary: Undisclosed
Some companies on cord are unable to disclose salaries publicly due to internal company policies. Message the company for salary information.
Employment type: Permanent
Remote working: Hybrid
Visa sponsorship: Not available

Job Description

Relation is offering an outstanding opportunity for a Research Data Engineer to design and build the data systems that power the next generation of predictive models of cellular behaviour. We generate complex and high-dimensional datasets across modalities at scale. What we can model, and the pace at which we iterate, is determined by the quality of the data layer. This role focuses on making our datasets efficient for analysis and ML model training through deliberate systems design: storage layouts, access patterns, distributed systems to move data from instrument to models, modality-specific format decisions, query and serving layers tuned for GPU-saturated training, and upholding the data contract between the wet lab and ML teams.


Day to Day, You Will

  • Design, build, and maintain scalable data pipelines that ingest multi-modal scientific data.
  • Optimise data movement, storage layouts, and access patterns for analytical and ML workloads.
  • Stand up and evolve cloud-native data lake / lakehouse infrastructure.
  • Implement data versioning, lineage, and quality monitoring.
  • Partner with data scientists day-to-day to ensure fast and seamless data workflows.
  • Collaborate closely with ML scientists and research engineers to design data representations, storage layouts, and access patterns that enable efficient model training and experimentation.
  • Build and operate workflow orchestration for both production pipelines and large-scale batch jobs.
  • Ensure infrastructure meets security, audit, and governance requirements.
  • Champion engineering best practices across the data platform.
  • Contribute to architecture decisions across the broader ML platform, including how compute, data, and training systems integrate.

Professionally, You Will Have

  • A degree in Computer Science, Engineering, or a related quantitative discipline; significant industry experience in data engineering, MLOps, or data platform roles.
  • Excellent Python engineering skills.
  • Deep experience with cloud-native data infrastructure (AWS S3 / GCS, plus the surrounding ecosystem) and Infrastructure-as-Code (Terraform or equivalent).
  • A track record of designing data pipelines and storage layouts for large, heterogeneous datasets.
  • Experience building scalable analytical data processing workflows using modern engines and frameworks (e.g. Spark, Polars, Dask, DuckDB, or equivalent), with an understanding of their performance and architectural trade-offs.
  • Hands-on experience with workflow orchestration (e.g. Airflow, Dagster, Prefect, or equivalent) and containerised environments (e.g. docker, k8s).
  • Working knowledge of modern columnar / scientific data formats (Parquet, Zarr, TileDB, HDF5) and lakehouse technologies.
  • Experience partnering closely with scientific or research users and comfortable with the messiness of real-world experimental data.
  • Bonus experience: biomedical or genomics data (BAM, FASTQ, AnnData, OME-Zarr); regulated or pharma-partnered environments; data governance, FAIR principles, or research data management; feature store implementations.

Personally, You

  • Are comfortable working in a matrixed environment, balancing multiple stakeholders and contributing effectively across teams.
  • Take ownership of your work, proactively seek opportunities to contribute, and enable others to do their best work.
  • Communicate openly and directly, give and receive feedback constructively, and handle challenging conversations with respect.
  • Actively seek out diverse perspectives, build strong working relationships, and contribute to shared goals across teams.
  • Embrace challenges with openness and resilience, set high standards for yourself, and strive to deliver meaningful outcomes.
Research Data Engineer at Relation Therapeutics
Position posted 2 months ago

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Starling Bank on cord

Starling Bank

Full Stack Engineer (ML Ops)

London, UK
FinTech · Banking · Finance
A better bank for everyone
Active
over 6 months ago
Responds to
0% of requests
Responds in
1h 55m
Requests
7 pending

Skills & Experience

Job roles: Full Stack
Experience level: Mid, Senior
Core skills considered: Java, React, Redux, AWS, JavaScript

Logistics

Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days p/w)
Visa sponsorship: Not available

Job Description

Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.

Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.

We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.

Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!

The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.

Hybrid Working

We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.

Our Data Environment

Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.

We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.

Requirements

We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.

We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:

  • Design REST apis.
  • Code backend services, ideally using Java, or another other server side compiled language.
  • Develop modern front ends, ideally using React and Redux.
  • Get their code into the cloud and support it there, ideally on AWS.
  • Believe in clean coding, simple solutions, automated testing and continuous deployment.
  • Like to take ownership of a feature from the original idea through to live.
  • Think (like us) that a small number of empowered developers is the right way to deliver software.

Company Benefits

  • 33 days holiday (including flexible bank holidays)
  • An extra day’s holiday for your birthday
  • 16 hours paid volunteering time a year
  • Part-time and/or flexible hours available for most roles
  • Salary sacrifice, company enhanced pension scheme
  • Life insurance at 4x your salary
  • Hybrid/remote working
  • Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
  • Generous family-friendly policies
  • Varied social groups set up and run by our employees
  • Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
  • Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing

Full details are available on our careers site

Interview Process

Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:

  • Stage 1 - 30 mins with one of the team
  • Stage 2 - Take home challenge
  • Stage 3 - 90 mins technical interview with two team members
  • Stage 3 - 45 min final with an executive and a member of the people team
Alex Yeates on cord
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