Description
We are looking for talented Machine Learning Engineers to join Prescient Design, a division
devoted to developing structural and machine learning based methods for molecular design
within Genentech’s Research and Early Development (gRED) organization. The successful
candidate will manage projects deploying new techniques for machine learning based molecular
optimization for the analysis and design of small and large molecule drugs within target-driven
design campaigns. Special focus will be given to engineering pipelines for probabilistic
molecular property prediction and Bayesian acquisition for active learning based drug discovery.
Additional activities may extend to include engineering pipelines for molecular generative
modeling.
The Role:
● You will join Prescient Design within the Computational Sciences organization in
gRED. Your peers will be machine learning scientists, engineers, computational
chemists, and computational biologists.
● You will closely collaborate with scientists within Prescient and across gRED.
● You will develop machine learning and Bayesian optimization workflows to analyze
existing, and design new, small and large molecules.
● You will be expected to form close working relationships with small molecule and
protein therapeutic development efforts across the gRED organization.
● You will be expected to work on existing projects and generate new project ideas.
Qualifications:
● PhD degree in a quantitative field (e.g., Computer Science, Chemistry, Chemical
Engineering, Computational Biology, Physics), or MS degree and 3+ years of industry
experience.
● Demonstrated experience with machine learning libraries in production-ready
workflows (e.g., PyTorch + Lightning + Weights and Biases)
● Record of achievement, including at least one high-impact first author publication or
equivalent.
● Excellent written, visual, and oral communication and collaboration skills.
Additional desired qualifications:
● Experience with physical modeling methods (e.g., molecular dynamics) and
cheminformatics toolkits (e.g., rdkit)
● Previous focus on one or more of these areas: molecular property prediction,
computational chemistry, de novo drug design, medicinal chemistry, small molecule
design, self-supervised learning, geometric deep learning, Bayesian optimization,
probabilistic modeling, statistical methods.
● Public portfolio of computational projects (available on e.g. GitHub).
...prepare youth for college and career success. Key Responsibilities: ~ Support the development of the College & Career Readiness student and parent facing newsletter, assembling essential resources according to different CCR themes. ~ Support the development and...
Spa Massage Therapist | Property Name Let's start off with the most important part - what's in it for you: The Perks *Eligibility of perks is dependent upon job status ~ Hourly Pay Range: $16.90 to $18.00 DOE ~ Tip/Tip Pooling Eligible ~ Commission eligible...
...with us.The Opportunity:As a seasoned data analyst, you love diving into data and turning... ...superior demonstration of our values. Full-time and part-time employees working at least 20... ...collaboration, whether that happens in person or remotely.If this position is listed as remote...
...Mesilla Valley Hospice, our mission is to continue the legacy of comfort and compassionate care for our community. As a Home Care Team CNA you will be working out in the community, rather than in our In-Patient Unit, helping to care for people on hospice. If this is...
...Job Summary The IT & Procurement Director is responsible for leading the organization's technology strategy and procurement functions. This leadership role involves overseeing the development and implementation of innovative IT solutions, managing vendor relationships...