Sr. Machine Learning Scientist, Perturbation Biology (BRAID)

The Position

A healthier future. It's what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That's what makes us Roche.

Genentech seeks a highly motivated and collaborative Senior Machine Learning Scientist to join the Perturbation Biology group in the BRAID department (Biology Research | AI Development) within Genentech Research and Early Development (gRED). The successful candidate will focus on developing the next generation of Machine Learning models to derive actionable insights from high-content perturbation screens for target and drug discovery. This role requires a deep understanding of machine learning applied to sequencing-based perturbation data (e.g. Perturb-seq, CROP-Seq), a passion for innovation, and a commitment to improving healthcare outcomes through cutting-edge technology.

The Opportunity

We are looking for exceptional researchers with a passion for interdisciplinary research and technical problem-solving, and a proven ability to develop and implement research ideas. The candidate is expected to lead high profile projects in collaboration with our therapeutic area leads, to drive decision making for our target and drug discovery pipelines. The candidate is also expected to develop novel deep learning methods to address computational challenges in understanding the biology from large-scale perturbation datasets. The candidate will have opportunities to publish work in top-tier scientific journals and machine learning conferences.

In this role, you will:

• Lead data analysis efforts on large-scale high-content perturbation datasets

• Collaborate with interdisciplinary and cross-functional teams including biologists, chemists, data scientists, and other stakeholders.

• Build and scale Machine Learning techniques to massive datasets and aid in the deployment of novel Machine Learning algorithms.

• Publish in top-tier scientific journals and machine learning conferences, present results at internal and external scientific venues, conferences, and workshops.

• Contribute to the broader scientific community through open-source software development.

Who you are

• Educational Background: PhD degree in quantitative field (e.g., Computational Biology, Bioinformatics, Computer Science, Statistics, Mathematics) or in the physical or life sciences (e.g., Chemistry, Biology) with a strong quantitative focus.

• Experience:

  • Proven track record of analyzing large-scale Perturb-seq/CROP-seq datasets

  • Proven track record of developing and applying advanced ML models in a research or industry setting.

  • Demonstrated interest in problems across biology and chemistry as applied to the discovery and development of treatments for disease.

• Technical Skills:

  • Proficiency in scientific programming in Python.

  • Extensive experience with Machine Learning frameworks and libraries (e.g., PyTorch, JAX, Tensorflow).

  • Strong background in statistics, probabilistic modeling and data analysis.

• Soft Skills: Excellent communication, collaboration, and problem-solving skills.

• Publications: Strong publication record and experience contributing to research communities. Examples include journals such as Nature Biotechnology, Nature Methods and conferences such as RECOMB and ISMB.

Preferred

• Practical experience in one or more of the following areas:

  • Analysis of image-based perturbation data such as Cell Painting or Optical Pooled Screens data

  • Multimodal data integration, in particular between multiple measurement modalities and/or clinical patient data

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Relocation benefits are available for this posting

The expected salary range for this position based on the primary location of California is $167,000 - 310,800. 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

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.