We are seeking a dedicated, hands-on Scientist or Senior Scientist to join our Immunology Cell Therapy Discovery team.
\nThe role centers on novel target identification and validation for cell therapy discovery initiatives, underpinned by an in-depth understanding of cellular and molecular immunology, pathology of inflammation and immune disorders and/or expertise in CAR-T engineering.
\nKey responsibilities include: Demonstrating a comprehensive understanding of immunopathology at the cellular and molecular levels; multi-omics and bioinformatic data analysis; the landscape of known drug targets and therapeutics across modalities in clinical use; and emerging targets with investigational therapeutics in the field.
\nPartnering with cross-functional teams to initiate and drive discovery efforts focused on immune disorders, ensuring adherence to all relevant laws, regulations, and company policies related to the development and delivery of medicines.
\nInitiating cell therapy research,guided by curiosity, hypothesis, and data,to assess and validate novel targets, strategies, and approaches, enabling robust decision-making.
\nEssential skills and experience include: Advanced degree in Immunology, virology, innate and adaptive immune response, molecular or cell biology, bioengineering, or a related field; demonstrated proficiency in T- and B-cell culture and functional assays; multicolor flow cytometry (analysis and sorting); bioinformatics; in vivo disease models; and CRISPR and other genome-editing technologies.
\nDesirable experience includes a track record of peer-reviewed publications in prestigious immunological journals and/or patents.
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\nResearch Scientist, Information Quality
\nJob Description
\nThis role requires a passion for advancing information literacy through AI & machine learning, focusing on assessing media trustworthiness (images, audio, and video) and exploring concepts like authenticity, provenance, and context.
\nKey responsibilities include formulating metrics, simulations, rapid prototyping of ML techniques, exploratory data analysis, collaborating with product teams to drive research, and developing tools and frameworks to accelerate research. A public example of research work is Backstory.
\nAbout Us
\nArtificial Intelligence could be one of humanity’s most useful inventions. At Google DeepMind, we’re a team of scientists, engineers, machine learning experts and more, working together to advance the state of the art in artificial intelligence.
\nThe Role
\nTo succeed in this role, you will need to be passionate about advancing information literacy using machine learning and other computational techniques. You'll join an interdisciplinary team of domain experts, ML researchers, and engineers to conduct cutting-edge research and advance the next generation of multimodal AI assistants that help co-investigation and deliberation.
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\nKey responsibilities:
\nAbout You
\nIn order to set you up for success as a Research Scientist at Google DeepMind, we look for the following skills and experience:
\nIn addition, the following would be an advantage:
\nWhen assessing technical background we will take a holistic view of the mix of scientific, ML and computational experience. We do not expect you to be an expert in all fields simultaneously. At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact.
\nWe are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law.
\nIf you have a disability or additional need that requires accommodation, please do not hesitate to let us know.
\nThe US base salary range for this full-time position is between $174,000 USD - $252,000 USD + bonus + equity + benefits.
\nYour recruiter can share more about the specific salary range for your targeted location during the hiring process.
\nApplication deadline: April 28th, 2026
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\nAs a Staff Engineer, you will lead the planning, coordination, and execution of technical activities throughout sales opportunities, including technical discovery, product presentations, and evaluations. You will collaborate with sales teams to drive competitive technical assignments and deliver successful outcomes using your expertise in CFD and simulation technology.
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\nAs a Chemist in the Responsible Development & Innovation (ReDI) team at Google DeepMind, you will be a principal architect of the safety protocols governing the intersection of Large Language Models (LLMs) and the chemical sciences. You will design and execute rigorous safety evaluations and inform mitigation strategies that ensure our frontier models accelerate scientific discovery without compromising global security.
\nThis role is pivotal in deciding when and how our most advanced AI systems are released to the world.
\nYou will apply your knowledge of chemistry to devise evaluation methodologies (e.g. red-teaming, knowledge elicitation studies, etc.) and contribute to building and running these evaluations on new models. You will analyse the results from evaluations, communicate them clearly to advise and inform decision-makers on the safety of our AI systems, and use them to refine our harm frameworks and inform our mitigation strategies.
\nIn this role, you will work closely with other Subject-Matter Experts (SMEs) in the chemical, biological, radiological and nuclear domains, Research Engineers and Research Scientists focused on developing AI systems, as well as experts in AI ethics and policy.
\nKey Responsibilities:
\nAbout You:
\nYou are a seasoned scientist who bridges the gap between laboratory chemistry and emerging technology. You are motivated by the challenge of defending complex systems and possess the critical mindset required to anticipate non-obvious misuse scenarios.
\nMinimum Qualifications:
\nPreferred Experience:
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\nThe role of the Research Engineer will be to develop state-of-the-art methods for multimodal generative AI models, with a primary focus on image generation and editing. This role is for the team behind “Nano Banana”.
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\nAbout the role
\nAs a Research Engineer, you will join a team of 40+ Researchers and Engineers within the R&D Department working on cutting edge challenges in the Generative AI space, with a focus on avatar-centric interactive video diffusion models. Within the team you’ll have the opportunity to work on the applied side of our research efforts and directly impact our solutions that are used worldwide by over 60,000 businesses.
\nResponsibilities
\nWhat we're looking for:
\nWhat will make you stand out:
\nWhy join us?
\nWe’re living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here’s why,
\nOur culture
\nAt Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here.
\nServing 50,000+ customers (and 50% of the Fortune 500)
\nWe’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers and what 1,200+ people say on G2.
\nProprietary AI technology
\nSince 2017, we’ve been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about our AI Research Lab and the team behind.
\nAI Safety, Ethics and Security
\nAI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always. Learn more about our commitments to AI Ethics, Safety & Security.
\nThe good stuff...
\nYou can see more about Who we are and How we work here: https://www.synthesia.io/careers
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