Software Engineer (Data), Lausanne

Key Skills

Aartificial intelligence, Algorithms, C++, Data structuring, Deep Learning, Design, Drug Discovery, Google Cloud Platform (GCP), Java Programming, JAX framework, Machine learning techniques, MLOps tools, Python Programming, PyTorch, Statistics, TensorFlow

Job Description

We are looking for data engineers with various levels of experience - Mid through to Senior, Principal, 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 

This is an exciting opportunity for you to work on a greenfield ML-based software platform that will transform the biopharmaceutical world as we know it.

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

• Develop and operate computational pipelines for ingestion of reference, external, and internal scientific data sets, including experimental and synthetic data.
• Develop data stores for effective storage and computational use of the data by machine learning models and other data-driven products.
• Develop and operate data generation services.
• Develop and support data management toolkits in use by the wider organisation.
• Develop and execute processes for effective and secure data handling and version control.
• Partner and collaborate with a diverse set of teams incl. science, research, product, business development and operations

Skills and qualifications 

Essential

• Experience in data engineering at scale
• Strong knowledge of data management tools and technologies including ETL frameworks, database engines, and file and object stores
• Experience with modern ML systems, frameworks, and data lifecycle
• Experience building secure/scalable platforms/products on cloud
• Experience with life sciences data, including bioinformatics, computational chemistry, and biomedical research
• Experience partnering with research and product teams
• Strong software engineering experience with software design / architecture skills
• Extensive enterprise programming experience writing production code using any mainstream programming languages, e.g. Java, C++, Python, Go
• Demonstrate ongoing career progression / trajectory and a passion for learning
• Either a Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience
• Strong understanding of data structures and algorithms

Nice to have

• Strong experience in Python
• Basic knowledge of biology / chemistry
• Experience working with biomedical data
• Knowledge of the pharmaceutical industry, ideally with a focus on drug discovery
• Experience building, deploying and maintaining production systems on GCP
• Exposure to data curation