Before u proceed below to check the jobs/CVs, please select your favorite job categories, whose top job alerts you want in your email & Subscribe to our Email Job Alert Service For FREE
Job Location: South San Francisco, CA
The Position
We are seeking a talented Computational Scientist to carry out impactful and boundary-pushing research at the intersection of AI and Drug Development. While there have been major advances in the development of AI/ML algorithms, to enable Human-Machine Partnership in the context of Drug Development it is crucial that the models be explainable and generalizable. To this end, new methodologies need to be developed and demonstrated on large, longitudinal clinical datasets.
The AI Postdoctoral Fellow will develop methodologies for generating causal explanations from Neural-ODE models, to help surmount the existing challenges associated with the use of saliency maps on longitudinal data. A second focus revolves around using mechanism-informed Graph Neural Networks (GNNs) to enhance the generalizability of neural-ODE models, by leveraging the insight that models built on established mechanistic basis tend to enable better extrapolations. We expect that the research outcome will be published in top tier journals as well as influence the best practices within the drug development industry.
Requirements:
The candidate should possess a PhD in a quantitative discipline (Computer Science/Computational Sciences, Biomedical Informatics, Mathematics, Physics, Engineering, Pharmacometrics, Statistics, and others) and a track record of developing and implementing innovative ideas. Knowledge and/or experience with Neural-ODE, Graph Neural Networks and other Deep Learning architectures for longitudinal data are highly desirable. Experience with Pharmacometrics and Quantitative Systems Pharmacology (QSP) models is not required, but would be a plus. Excellent communications skills and a strong publication record are expected.
Relocation benefits are available for this position
Relevant publications:
- Lu, J., Bender, B., Jin, J.Y. and Guan, Y., 2021. Deep learning prediction of patient response time course from early data via neural-pharmacokinetic/pharmacodynamic modelling. Nature Machine Intelligence, pp.1-9
- Lu, J., Deng, K., Zhang, X., Liu, G. and Guan, Y., 2021. Neural-ODE for pharmacokinetics modeling and its advantage to alternative machine learning models in predicting new dosing regimens. iScience, 24(7), p.102804
- Sundrani, S. and Lu, J., 2021. Computing the Hazard Ratios Associated With Explanatory Variables Using Machine Learning Models of Survival Data. JCO Clinical Cancer Informatics, 5, pp.364-378
- Bazgir, O., Zhang, R., Dhruba, S.R., Rahman, R., Ghosh, S. and Pal, R., 2020. Representation of features as images with neighborhood dependencies for compatibility with convolutional neural networks. Nature communications, 11(1), pp.1-13
For information about the Postdoctoral Program at Genentech, please go to:
https://www.gene.com/careers/university-and-early-career/postdocs
#gREDinformatics
#postdoc
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.
Unless entitled to a reasonable accommodation under applicable law, employees are required to be fully vaccinated against COVID-19 in accordance with customer requirements, the company’s health and safety obligations and/or applicable law or guidelines.
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.
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. For more information about equal employment opportunity, visit our Genentech Careers Homepage.
Roche is an equal opportunity employer and strictly prohibits unlawful discrimination based upon an individual’s race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, mental/physical disability, medical condition, marital status, veteran status, or any other characteristic protected by law.
Submit CV To All Data Science Job Consultants Across United States For Free