Data Architect
vor 7 Monaten
at Isomorphic Labs
Lausanne
**Data Architect, Lausanne**:
We are looking for a data architect to join our data engineering team.
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**:
- Play a central hands-on role in designing and building Isomorphic Labs’ cloud-based data platform.
- Define and implement data governance solutions to ensure data freshness, quality, consistency, discoverability, security and compliance.
- Design the architecture and write software for the platform’s components.
- Design and deploy solutions for dataset version control and lineage tracking.
- Contribute to developing a data lake / lakehouse, centralizing some of Isomorphic Labs’ main data assets, and making them available for consumption by machine learning workflows.
- Work with interdisciplinary stakeholders to create and maintain data models.
- Provide documentation, guidance and communication on the data platform to the wider organization.
- Partner and collaborate with a diverse set of teams incl. science, ML research, product, business development and operations.
**Skills and qualifications**:
**Essential**:
- Experience with the architecture of data intensive systems in a machine learning context
- Experience with building data governance and data lifecycle management solutions
- Hands-on experience building secure/scalable platforms on cloud
- Strong knowledge of data management tools and technologies including ETL frameworks, orchestration systems, database engines, and object stores
- Software engineering experience with software design / architecture skills
- Strong programming experience in a language such as Python, Java, Scala, C/C++ or 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
**Nice to have**:
- Basic knowledge of biology / chemistry
- Experience with life sciences data, including bioinformatics, computational chemistry, and biomedical research
- Experience with modern data platform solutions such as Databricks, Snowflake or equivalent
- Experience working with life science ontologies
- Experience with machine learning
- Knowledge of the pharmaceutical industry, ideally with a focus on drug discovery
- Experience building, deploying and maintaining production systems on GCP
- Strong experience in Python
- Exposure to data curation
***:
***Culture and values**:
What does it take to be successful at IsoLabs? It's not about finding people who think and act in the same way, but we do have some shared values:
**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.
**In this 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 inclusive company**:
We realise that to be successful we need our teams to reflect and represent the populations we are striving to serve. We’re working to build a supportive and inclusive environment where collaboration is encouraged and learning is shared. We value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact.
We are committed to equal employment opportunities regardless of sex, race, r
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