Staff Software Engineer

Meet Anagenex.

At Anagenex, we combine machine learning with massively parallel biochemical tools such as DNA Encoded Libraries (DELs) and Affinity Selected Mass Spectrometry (ASMS) to analyze more compounds more efficiently than ever before. By working with large datasets throughout our search process and letting our machine learning model guide our experiments, we are able to find molecules for the hardest problems in drug discovery, bringing first in class and best in class treatments to patients.
As a fully integrated team of experts in biology, chemistry and machine learning, we work as one to design new medicines. Collaborating across these distinct disciplines gives team members exposure and understanding into differing approaches for solving complex challenges. Autonomy and trust ground our flexible working environment, enabling us to succeed against a broad range of targets in drug discovery.

Introducing: Staff Software Engineer

As Staff Software Engineer at Anagenex, you will have the opportunity to significantly contribute to our mission by building our computational infrastructure and drug discovery platform. You will lead all engineering efforts and set the technical direction across a broad range of platform areas. This includes data engineering to facilitate the flow of information and analysis of data, MLOps to support model deployment and inference, provisioning of scalable compute infrastructure to enable the calculations of properties on massive datasets and the execution of complex generative chemistry workflows. Through your work, you will also raise the level of software engineering by defining and implementing best practices in an interdisciplinary environment. On a routine basis you will collaborate with cross-functional leadership to understand the needs of the business and build highly-effective products accordingly.

You'll own

• Cloud compute infrastructure to support the analysis of massive datasets and execution of complex end-to-end workflows.

• Data engineering including efficient storage of terabytes of data produced in our labs and the infrastructure to enable analysis thereof.

• All the toolkits and backend services needed to support broad access to our compute platform by developers and automated endpoints.

• Definition and implementation of software development practices to set the foundation for a robust computational environment whilst supporting flexibility to enable rapid iteration.

You'll support

• Implementation of ML workflows and the execution of compute-intensive tasks such as predictive modeling and generative AI.

• Flow of experimental data from our labs into our databases and data-driven computational pipelines.

• Access to data and analysis results to facilitate the identification of insights and subsequent data-driven decision making.

• Definition of the platform strategy through input on roadmaps, resource requirements and development priorities.

Skills & expertise you have

• 5+ years of demonstrated work experience in a senior technical role - experience in smaller, fast-paced environments is a plus.

• A degree in computer science or in a related field or equivalent practical experience.

• Design and implementation of scalable cloud compute infrastructure including workflow systems.

• Design and implementation of state-of-the-art data engineering solutions.

• Technical project management from scoping to implementation and communication.

• Excellent communication skills to successfully work with stakeholders in a strongly interdisciplinary environment. 

Skills & expertise you can learn

• How new medicines are designed from concept to clinical development.

• Integrating large amounts of experimental data into an efficient machine learning life cycle.

• Building a performant computational infrastructure to accelerate drug discovery processes.

• Effective communication and collaboration with stakeholders across the business.

Within 1 month, you’ll…

• Participate in the onboarding program to learn about the scientific efforts fueling the Anagenex platform, including DNA-encoded library (DEL) technology, computational chemistry, and medicinal chemistry.

• Familiarize yourself with Anagenex’s existing technology stack and codebase.

• Establish key relationships across your team and with stakeholders across the company.

• Push your first commits to production!

Within 3 months, you’ll…