Machine Learning Scientist, Prescient Design

Key Skills

Deep Learning, Design, Github, Leadership Skill, Machine learning techniques, Python Programming, PyTorch, Statistics

Job Description

The Role

• Develop machine learning and theoretical chemistry-based calculation methods to enable fast yet accurate models for biochemical interactions.
• Provide technical leadership at the intersection of computational chemistry and machine learning, driving and shaping research directions in molecular design across broader gRED and Roche.
• Closely collaborate with scientists and researchers across disciplines to build impactful technologies for drug discovery research.
• Build and scale machine learning techniques to massive datasets and aid in the deployment of novel machine learning algorithms by experimental collaborators.
• Contribute to and drive publications, present results at internal and external scientific conferences, and help make code and workflows open source.

Desired Qualifications

• BS, MS, or PhD degree in the physical sciences (e.g. Chemistry, Physics, Chemical Engineering) or quantitative field (​e.g.​ Computer Science, Statistics, Applied Mathematics) or equivalent industry research experience (5+ years for BS, 3+ years for MS). 
• Record of scientific excellence as evidenced by at least one first author publication in a scientific journal or machine learning conference.
• Excellent communication and interpersonal skills.
• Highly-motivated and independent self starter that is eager to collaborate.
• Fluent in Python and experience with scientific software development for chemical or biological modeling
• Experience in one or more cheminformatic and computational chemistry tools, including any of RDKit, OpenBabel, OpenEye Toolkits, and Schrodinger, etc.
• Demonstrated experience with modern Python frameworks for deep learning like PyTorch

Additional Qualifications

Candidates may additionally have, but are not required to have:

• Public portfolio of projects available on GitHub
• Extensive experience working with large chemical and biological datasets, including graph, sequence, and structure-based data. 
• Record of machine learning research excellence as evidenced by publications in computer science and machine learning conferences (e.g. NeurIPS, ICLR, ICML).

#gCS

Who We Are

Genentech, a member of the Roche group and founder of the biotechnology industry, is dedicated to pursuing groundbreaking science to discover and develop medicines for people with serious and life-threatening diseases. To solve the world's most complex health challenges, we ask bigger questions that challenge our industry and the boundaries of science to transform society. Our transformational discoveries include the first targeted antibody for cancer and the first medicine for primary progressive multiple sclerosis.

Diversity and Inclusion (D&I) are critical to the success of our company and our impact on society. We believe that by championing diversity of background, thought and experience, we can foster a sense of belonging and provide an environment where every employee feels valued, included, and able to contribute their best for the patients we serve. We’re focused on attracting, retaining, developing and advancing our people to their full potential by rewarding bold ways of thinking and integrating inclusive behaviors into every aspect of our work.

The expected salary range for this position based on the primary location of New York City is $158,100 - 293,500 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.