Software Engineer (Data Services), London

Software Engineer (Data Services), London

Full-Time 70000 - 90000 £ / year (est.) No working from home possible
Isomorphiclabs

At a Glance

  • Tasks: Join a dynamic team to develop AI-driven software for groundbreaking drug discovery.
  • Company: Isomorphic Labs, a pioneering tech company focused on transforming healthcare.
  • Benefits: Enjoy competitive pay, health perks, and a hybrid work model.
  • Other info: Collaborative culture that values creativity, curiosity, and diverse perspectives.
  • Why this job: Make a real impact in the fight against diseases with cutting-edge technology.
  • Qualifications: Experience in data engineering and software development, especially with Python.

The predicted salary is between 70000 - 90000 £ per year.

Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease. The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured starting with better and faster drug discovery. Come and be part of an interdisciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring and collaborative culture.

About Iso

Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed. Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI’s powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world’s most devastating diseases. We have built a world‑leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities. We are continually innovating on model architecture and developing cutting‑edge capabilities to advance rational drug design. Every day, and with each new breakthrough, we’re getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI.

Your impact

This is an exciting opportunity for versatile software engineers to be working in a fast‑paced and research‑facing environment within a small team. You will contribute significantly to a world‑class ML‑based software platform set to transform the bio‑pharmaceutical world. We need creative thinkers ready to redefine how drugs are designed with the power of AI. Working in a highly creative, iterative environment, you will be partnering with leading engineers, scientists and ML researchers to build the critical platform driving that transformation. This is a newly created role and you will need to use your previous experience and show initiative in order to fully carve out your contribution.

What you will do

  • Software engineering of data services for data storage and integration layers
  • Ingestion, transformation and serving of scientific data for scientific applications
  • Building a state‑of‑the‑art platform for conducting research with high velocity and reliability
  • Collaboration with scientist and ML researchers on project work

Skills and qualifications

Essential

  • Experience in data engineering and service‑oriented architectures
  • Extensive software engineering experience with software design and architecture skills
  • Extensive enterprise programming experience writing production code using Python
  • Experience building, deploying, and maintaining secure and scalable production systems on GCP
  • Experience with Kubernetes and cloud computing
  • Demonstrated ability to work in multi‑disciplinary teams and environments
  • Great degree of adaptability and a willingness to work across domains and different parts of the tech stack when needed
  • Demonstrate ongoing career progression / trajectory and a passion for learning
  • MSc in computer science, or equivalent experience

Nice to have

  • Experience with the management of scientific and experimental wet lab data in a pharma context
  • Experience with life sciences data, including bioinformatics, computational chemistry, and biomedical research data
  • Experience building backend systems for web applications, using technologies such as Django, SQLalchemy, Pydantic, PostgreSQL, DBT
  • Experience designing, implementing and maintaining relational data models with Python-based interfaces
  • Hands‑on experience with cloud engineering in a compute‑heavy environment, preferably on GCP

Culture and values

We are guided by our shared values. It's not about finding people who think and act in the same way. These values help to guide our work and will continue to strengthen it.

  • Thoughtful: Thoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future‑making science every single day.
  • Brave: Brave at Iso is about fearlessness, but it’s also about initiative and integrity. The scale of the challenge demands nothing less.
  • Determined: Determined at Iso is the way we pursue our goal. It’s a confidence in our hypothesis, as well as the urgency and agility needed to deliver on it. Because disease won’t wait, so neither should we.
  • Together: Together at Iso is about connection, collaboration across fields and catalytic relationships. It’s knowing that transformation is a group project, and remembering that what we’re doing will have a real impact on real people everywhere.

Creating an extraordinary company

We believe that to be successful we need a team with a range of skills and talents. We're building an environment where collaboration is fundamental, learning is shared and every employee feels supported and able to thrive. We value unique experiences, knowledge, backgrounds, and perspectives, and harness these qualities to create extraordinary impact. We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

Hybrid working

It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, and must require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you’re in). If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through these if you’re selected for an initial screening call.

Please note that when you submit an application, your data will be processed in line with our privacy policy.

Software Engineer (Data Services), London employer: Isomorphiclabs

Isomorphic Labs is an exceptional employer that fosters a collaborative and innovative work culture, where employees are empowered to contribute to groundbreaking advancements in drug discovery through AI. Located in London, the company offers unique opportunities for professional growth and development, allowing team members to play a pivotal role in shaping the future of healthcare while enjoying a supportive environment that values diversity and inclusion.

Isomorphiclabs

Contact Details:

Isomorphiclabs Recruitment Team

We think you need these skills to ace Software Engineer (Data Services), London

Data Engineering
Service-Oriented Architectures
Software Design
Software Architecture
Production Code Development
Python Programming
GCP (Google Cloud Platform)