We are a team of researchers and engineers dedicated to creating interfaces that enhance scientists understanding of data. The rise of high-throughput techniques for genomic profiling, compound screening, and rapid image collection has resulted in vast datasets that provide insights into the root causes of diseases and potential treatments. However, converting these large volumes of data into actionable insights for identifying drug targets and candidates remains a significant challenge. The scale of the data demands improved methodologies for querying, exploring, and analyzing it. Additionally, the high dimensionality of these datasets necessitates the integration of various data types for comprehensive interpretation.

We fuse our enthusiasm for visualization, information processing, and user-centric design with our expertise in data manipulation to uncover scientific insights, complemented by the engineering capabilities to actualize this vision. By collaborating closely with disease area experts, we develop intuitive tools that facilitate the exploration and interpretation of extensive, diverse datasets and analyses. We also innovate and disseminate new visualization and interaction techniques for data. In this role, you will spearhead backend engineering design and development to ensure efficient access to large datasets within interactive visualization applications.

The job requires working in the Eastern or Pacific Time Zone.

Python Developer with AWS - Eastern or Pacific Time Zone

Your responsibilities

• Build and manage fast, scalable systems that can process, analyze, and query data from different sources for visualization tools
• Set up processes to schedule, run, and track data transformation tasks
• Develop and maintain APIs to allow quick data access for web applications
• Work together to solve software engineering problems related to interactive data analysis and visualization
• Collaborate with computational scientists, biologists, and software engineers to understand and address the needs of researchers in both lab and computer environments
• Team up with remote scientific and engineering groups to support your software projects
• Support the scientific community by participating in open-source software projects

Our requirements

• Over 5 years of experience in Python, focusing on creating and developing systems and packages
• Skills in building, deploying, maintaining, and monitoring APIs
• Experience in designing and managing workflow processes, containers, schedulers, and systems both on local servers and in the cloud
• Familiarity with modern file formats for handling large datasets
• Proficiency in using libraries like SciPy, NumPy, and pandas
• Knowledge about cloud services, especially AWS
• Experience in storing and retrieving large data sets using cloud systems, including S3
• Being able to work in the Eastern or Pacific Time Zone
• Knowledge of formal build, release, deployment, and continuous integration processes.
• Experience with Kubernetes, AWS Lambda, and other serverless or container-based workloads.
• Managing deployment infrastructure (reproducible and Infrastructure as a Service), monitoring events, and maintaining systems.
• Data wrangling, processing, and analysis using Python and/or R.
• Understanding of the biological field, particularly in single-cell genomics.
• Familiarity with Multi Assay Experiment and other formats for representing biological data.
• Experience creating interactive visualization applications using modern frameworks and tools (e.g., React, Vue, Svelte; D3.js, WebGL).
• Developing interactive data applications in R and Python (using tools like Shiny, Streamlit, etc.).

What we offer

• Remote job
• B2B contract
• Long-term cooperation