Senior Scientist, Artificial Intelligence/Machine Learning

Key Skills

Aartificial intelligence, Data Engineering, Drug Discovery, Github, JAX framework, Keras software library, Machine learning techniques, NeurIPS, Python Programming, PyTorch, Statistics, TensorFlow

Job Description

The Role

• You will join the growing department of AI/ML within gRED Computational Sciences (gCS). Your peers will be machine learning and computational scientists working across different areas of the life sciences.
• You will closely collaborate with chemists, biologists and computational scientists across departments in gRED.
• You will develop machine learning methods for the analysis of single-cell genomics datasets and/or biological sequences.
• You will help build and scale machine learning techniques to massive datasets and aid in the deployment of novel machine learning algorithms.
• You will contribute to and drive publications in scientific journals and machine learning conferences, and present results at internal and external scientific meetings.

Desired Qualifications

• PhD degree in quantitative field ( e.g. Computer Science, Statistics, Mathematics) or, in the physical or life sciences (e.g.Chemistry, Biology) with strong focus on AI methods for drug discovery. 
• Excellent communication and interpersonal skills.
• Fluent in Python and strong experience with analysis of single-cell genomics (e.g. scRNA-seq and scATAC-seq) datasets.
• Demonstrated experience with modern Python frameworks for deep learning (e.g. PyTorch, JAX, Pyro or TensorFlow/Keras).
• Familiarity with predictive and foundational DNA sequence models and their applications in regulatory genomics, human genetics and sequence design.

Additional Desired Qualifications

• Experience with best practices in Data Engineering and Machine Learning Ops.
• Public portfolio of computational projects (available on e.g. GitHub)
• Record of experience, as evidenced by at least one high-impact first author publication in a scientific journal, or equivalent.
• Record of machine learning research excellence as evidenced by publications in computer science and machine learning conferences (e.g. NeurIPS, ICLR, ICML).
• Experience with search and/or optimization-based sequence design algorithms
• Interest in modeling evolution of traits (e.g. Ornstein-Uhlenbeck process), human genetics, genome-wide association studies (GWAS) and online mendelian inheritance in man (OMIM) concepts and datasets.

#gCS

Who We Are

A member of the Roche Group, Genentech has been at the forefront of the biotechnology industry for more than 40 years, using human genetic information to develop novel medicines for serious and life-threatening diseases. Genentech has multiple therapies on the market for cancer & other serious illnesses. Please take this opportunity to learn about Genentech where we believe that our employees are our most important asset & are dedicated to remaining a great place to work. Genentech is an equal opportunity employer & prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital & veteran status. For more information about equal employment opportunity, visit our Genentech Careers page

Relocation benefits are available for this job posting. 

The expected salary range for this position based on the primary location of California is $137,300 - $255,100 and max of hiring range. 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.