Software Engineer, London or Lausanne
We are looking for software engineers with various levels of experience - Junior through to Senior, Staff or equivalent levels.
Isomorphic Labs is a new Alphabet company that is reimagining drug discovery through a computational- and AI-first approach.
We are on a mission to accelerate the speed, increase the efficacy and lower the cost of drug discovery. You'll be working at the cutting edge of the new era of 'digital biology' to deliver a transformative social impact for the benefit of millions of people.
Come and be part of a multi-disciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring, collaborative and entrepreneurial culture.
Your impact
We are looking for outstanding software engineers to work on different aspects of our ML-based software platform such as: data, backend and fullstack engineering, ML engineering, as well as technical and cloud infrastructure. We are keen on receiving applications from individuals falling at the intersection of one or more of these fields.
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 biopharmaceutical 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
Depending on your experience and background, you can be expected to work on one or more of the following domains:
- Ingestion, management and serving of scientific data
- Backend and fullstack engineering for the buildout of scientific applications and scientific data management applications
- Building a state-of-the-art platform for conducting ML research with a high velocity and reliability
- Building key MLOps components for transferring models from research to production at scale
- Working on low-level performance optimization to increase the efficiency and performance of ML models and infrastructure
- Optimizing and maximally leveraging our compute resources and fleet of accelerators for large scale training and inference
Skills and qualifications
Essential
- Strong software engineering experience with software design / architecture skills
- Extensive enterprise programming experience writing production code using mainstream programming languages such as Python, Java, C++ or Go
- Experience with Kubernetes and cloud computing
- Experience building secure/scalable platforms/products on cloud
- 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
In addition to the essential qualifications listed above, we also expect successful candidates to have some of the following qualifications:
- Expertise in Python
- Experience with the management of scientific and experimental wet labs data in a pharma context
- Experience building backend systems for web applications, using technologies such as Django, SQLalchemy, Pydantic, PostgreSQL
- Experience designing, implementing and maintaining relational data models with Python-based interfaces
- Experience developing frontend applications in a scientific context
- Experience building, optimizing and productionizing large scale deep learning models
- Hands-on experience with cloud engineering in a compute-heavy environment, preferably on GCP
- Hands-on experience optimizing the use of fleets of hardware accelerators
- Experience with low level hardware specific optimization for deep learning
- Experience with life sciences data, including bioinformatics, computational chemistry, and biomedical research data
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 would 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.
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