Job Description:
The Computational Catalyst in the Client Research & Early Development Computational Sciences (gCS) organization is seeking a talented and passionate Software Engineer who loves tackling challenging technology problems and creating architecturally sound, high-quality software that empower scientists and transform critical business strategies. gCS is on a mission to partner across the organization to realize the potential of data, AI, and computational approaches that will revolutionize how targets and therapeutics are discovered and developed, ultimately enabling novel treatments for patients across the world.
Top Three Qualifications:
6-7+ years in hands-on US software design and architecture
Understanding of data structures algorithms (DSA) and programming languages like Java, Angular.JS(JavaScript or Typescript), testing(TDD, selenium, python, cypress, etc.) and Groovy.
Experience with cloud computing platforms, especially AWS, AWS services, and data warehouse solutions like Snowflake or Redshift.
Project Details:
gCS Catalysts is initiating a holistic modernization of the informatics landscape for our Animal Resources and Molecular Biology stakeholders in Client Research and Early Development .
This informatics solution will enable regulatory compliance and animal model development processes as part of the holistic in-vivo study workflow and will be used by ~900 researchers.
It will replace an existing suite of capabilities that's reaching its end of life.
We have approved funding for the upcoming 12 months and there's potential for extension through January 2026.
Duties Include:
Design, develop, and maintain user-friendly and responsive web UI-based software applications on AWS cloud
Develop and maintain backend and frontend systems as well as having the knowledge and technical skills to test them
Develop and maintain asynchronous and/or synchronous integrations between systems
Design and optimize SQL and No-SQL database schemas and queries for efficient data storage and retrieval
Contribute code to other cloud-based services written in languages like Java, Python, etc.
Write and maintain robust suite of tests to ensure the functionality and integrity of the developed applications
Collaborate cross-functionally with the team to understand user needs and translate them into user-friendly and aesthetic user interfaces
Collaborate closely with a team of scientists to build tools that assist in ground-breaking biology research
Minimum Qualifications:
6-7+ years of US software development experience
Proven track record of constructing quality, user-friendly tools in a fast-paced environment
Product Expertise: With 3 years of experience in testing, maintaining, or launching software products, and 3 year in software design and architecture, you'll be a key player in our success
Understanding of data structures algorithms (DSA) and programming languages like Java and Groovy
Ability to identify patterns, develop general-purpose frameworks, and address scalability requirements for data pipelines and database/data warehouse solutions
Ability to quickly acquire new technologies and programming languages
Follow test-driven development and clean code patterns.
Use Continuous integration and delivery approach
Experience with cloud computing platforms, especially AWS, AWS services, and data warehouse solutions like Snowflake or Redshift
Demonstrated technical expertise in solving challenging programming and design problems
Proficiency in developing and optimizing both batch and real-time data pipelines, encompassing tasks such as data collection, consolidation, normalization, and scheduling
Team-oriented individuals with strong collaboration, prioritization, and adaptability skills
Effective collaboration with data scientists to refine data models, design improvements, conduct experiments, and iteratively improve results
Preferred Qualifications:
Experience with biological data and processes is a strong plus
Experience working with scientists or in a research environment is advantageous
Proficiency in full-stack development, spanning both back-end (Java) and front-end (Angular, JavaScript or TypeScript, HTML, CSS)
ML and Software Expertise: Utilize your deep knowledge of ML and Software Engineering Machine Learning skills to unlock the potential of data, technology, and computational approaches.
SQL and no-SQL proficiency
Education:
Bachelor's Degree or higher in Computer Sciences, Data Science, or related fields.
Education:
Bachelors Degree
Additional client information:
