Software Engineer

The Computational Catalyst, Data & Solutions Engineering group in the Genentech Research & Early Development (gRED) Computational Sciences (gCS) organization is seeking a talented and passionate 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.

Why Join Us:

• Impactful Work: As an engineer at Genentech, your contributions directly drive world-class pharmaceutical breakthroughs. You will shape the future of biotechnology through your work.
• Innovation Hub: We encourage innovation and creative thinking. You'll have the freedom to explore cloud-scale solutions and witness how your decisions impact the outcomes of pioneering research.
• High Standards: We thrive on excellence. We're looking for individuals who are driven to develop tactical solutions that diagnose and fix issues, ensuring top-notch quality, and setting high standards for themselves.
• Leadership: If you possess strong organizational, planning, collaboration, and communication skills, you're not just an employee here - you're a builder!

Minimum Qualifications:

• 5 years of software development experience.
• 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 and programming languages like Python, Java, R.
• Ability to identify patterns, develop general-purpose frameworks, and address scalability requirements for data pipelines and database/data warehouse solutions.
• 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.
• Bachelor's Degree or higher in Computer Sciences, Data Science, or related fields.

Preferred Qualifications:

• 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 GraphQL proficiency.

If you're ready to elevate your career and contribute to groundbreaking biotechnology research, we invite you to join our team at Genentech. Be part of an organization that values innovation, sets high standards, and believes in the power of collaboration. Apply now, and let's build the future together!

*Relocation benefits are available for this job posting*

The expected salary range for this position based on the primary location of South San Francisco, CA is $123,700 - $229,700. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. Benefits

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Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status.