Software Engineer

Primary Skills: Java, Spring boot, AWS, SQL, REST API, Microservices The Position: The Computational Catalyst in the Genentech Research & Early Development (gRED) 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. Duties Include: Design, develop, and maintain user-friendly and responsive web UI based software applications on AWS cloud Develop and maintain backend systems Develop and maintain asynchronous and/or synchronous integrations between systems Design and optimize SQLand 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: 5 years of 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 1 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 Python 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, Python) and front-end (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

Created: 2024-11-05