Research Scientist, Drug Discovery
資格・条件
Minimum qualifications:
- PhD degree in Computer Science, Chemistry, Biology, a related field, or equivalent practical experience
- 2 years of experience supporting pharmaceutical industry medicinal chemistry programs
- Experience with cheminformatics, including experience with at least one common toolkit such as RDKit or OEChem
- Software development experience in one or more general purpose programming languages
Preferred qualifications:
- Developed machine learning models for hit-to-lead or lead optimization
この求人について
As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.
Increase the rate of drug discovery with Google technologies. Developing new medicines requires years of effort. Early drug discovery typically involves screening large numbers of compounds against a specific biological target, followed by extensive optimization of promising leads to satisfy requirements for potency, bioavailability, and safety. We are leveraging Google technologies to increase the rate of drug discovery through better modeling and experiment design.
At Google, our users come first, and the Systems Infrastructure team is at the heart of that promise. We build the technologies that transform the way we think about doing business. Whether working on our cloud systems, researching the latest in computer technology or keeping Google's internal systems humming, Googlers and users alike rely on us to keep things running. We're back-end experts: protecting your privacy and ensuring your security.
業務内容
- Lead hit-to-lead and lead optimization projects with hands-on analysis and modeling
- Develop novel algorithms and models for molecular property predictions
- Collaborate with industry partners in supporting drug discovery programs
- Participate in cutting edge research in machine learning
Location
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing this form.
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