Chemist, DeepMind

Chemist, DeepMind

Share Chemist, DeepMind

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XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Mountain View, CA, USA .

Minimum qualifications:

• PhD in synthetic or computational chemistry, or equivalent practical experience.

• 2 years of post-doctoral, industry, or defense experience, including wet-lab bench experience designing, executing, and troubleshooting multi-step syntheses.

• Experience in cheminformatics and digital drug discovery tooling, specifically using Python (e.g., RDKit) to analyze reaction and bioactivity/toxicity datasets (e.g., QSAR), alongside ML (e.g., protein-ligand co-folding) or physics-based (e.g., FEP) binding affinity prediction.

• Experience with computer-aided synthesis planning (CASP), retrosynthesis tools, and 3D structure-based modeling, such as molecular docking and pharmacophore modeling.

• Experience working with Scientific AIs and applying LLMs to scientific problems.

Preferred qualifications:

• Experience with dual-use chemistry, the Chemical Weapons Convention (CWC) and Schedules, and other national and international chemical control treaties and documents.

• Understanding (without deep technical detail) of the training and operating principles of LLMs.

• Understanding (without deep technical detail) of the mitigation strategies applied to LLMs to prevent the proliferation of dual-use scientific information.

• Understanding of model evaluation methodologies for determining the frontier risks of modern AI models; see Google's FSF and similar documents at other AI labs.

About the job

Google’s CBRNE team (Chemical, Biological, Radiological, Nuclear and Explosives) makes sure that as Gemini gets better at science, it does not become a tool for catastrophic harm. We would like to invite applications from qualified chemists for the position of a Chemist Subject Matter Expert (SME) in the CBRNE team within the Responsible Frontier AI Research (RFAIR) team, joining SMEs with broad experience across Chemistry.

The successful applicant will be hired for a Research Scientist position serving as a technical expert responsible for evaluating and mitigating safety risks of frontier AI models (primarily but not limited to LLMs) in the chemistry domain.

Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .

Responsibilities

• Design, execute, and critically review the outputs of computational chemical evaluations, including automated synthesis planning, predictive toxicology, and molecular docking, to test the maximum agentic capabilities of our AI models.

• Review model outputs of synthetic chemistry evaluations, commenting on key metrics (such as accuracy) and the potential uplift provided by the model in the context of a given threat actor.

• Provide recommendations for implementing mitigations to ensure the chemical safety of our models, while minimizing the impact on legitimate science.

• Use information provided from evaluations and other data sources to update harm frameworks and threat models.

• Communicate technical results and commentary to audiences with a range of expertise, from fellow chemists to executive decision-makers.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.