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.
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
requirements-expected :
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
