Jobright.ai
Applied AI Scientist, Translational AI Lab (TRAIL), New Grad
Jobright.ai - South San Francisco, California, us, 94083
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Applied AI Scientist, Translational AI Lab (TRAIL), New Grad
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Applied AI Scientist, Translational AI Lab (TRAIL), New Grad
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Jobright.ai Applied AI Scientist, Translational AI Lab (TRAIL), New Grad
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Applied AI Scientist, Translational AI Lab (TRAIL), New Grad
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Jobright.ai Genentech is a leading biotechnology company committed to advancing science and ensuring access to healthcare. They are seeking an Applied AI Scientist to work within the Translational AI Lab, focusing on applying advanced AI methods to address challenges in disease biology and translational research, while collaborating with various scientific teams. Responsibilities: • Apply and fine-tune foundation models—such as large language models (LLMs), generative models, and multimodal encoders—for biological annotation, knowledge extraction, and biomarker hypothesis generation. • Design workflows and pipelines that integrate model outputs with real-world biological data (e.g., gene expression, perturbation screens, clinical biomarkers). • Evaluate model performance, robustness, and interpretability in collaboration with BRAID and therapeutic scientists. • Build tools and interfaces (e.g., notebooks, dashboards, chat-based validation flows) that connect AI capabilities with experimental and translational use cases. • Contribute to internal benchmarking, testing, and validation frameworks that enable scientific and strategic decision-making. • Collaborate across diverse teams of biologists, modelers, and software engineers to translate AI capabilities into program-level insights. Qualifications: Required: • Ph.D. or M.S. (with relevant experience) in Machine Learning, Computer Science, Data Science, Computational Biology, or a related quantitative field. • 0-5 years of relevant experience in AI, machine learning, or computational biology. • Strong technical foundation in deep learning and probabilistic modeling, with demonstrated project or publication experience. • Experience building and deploying ML/AI pipelines using Python, PyTorch, HuggingFace, and/or JAX; familiarity with tools like LangChain, Streamlit, or MLFlow is a plus. • Able to adapt and apply existing AI models (e.g., LLMs, encoders, transformers) in a rigorous, reproducible way to new biological domains. • Comfort working with biological or clinical data types—or strong interest in learning and collaborating closely with domain experts. • Excellent communicator who can collaborate in multi-disciplinary settings and explain technical results to scientific partners. Preferred: • Exposure to biomedical or multiomic data (e.g., single-cell, bulk RNA-seq, CRISPR screens, protein interaction networks). • Hands-on experience with LLM-based workflows, prompt engineering, fine-tuning, or real-time retrieval and evaluation systems (e.g., RAG, AutoGen). • Experience with benchmarking, evaluation frameworks, or model interpretability in applied settings. • Prior involvement in translational research, target discovery, or biomarker identification is a plus but not required. Company: Genentech is a biotechnology research company that specializes in genetic testing and personalized medicines. Founded in 1976, the company is headquartered in South San Francisco, California, USA, with a team of 10001+ employees. The company is currently Public Company. Genentech has a track record of offering H1B sponsorships. Seniority level
Seniority level Entry level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
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Join to apply for the
Applied AI Scientist, Translational AI Lab (TRAIL), New Grad
role at
Jobright.ai Applied AI Scientist, Translational AI Lab (TRAIL), New Grad
1 day ago Be among the first 25 applicants Join to apply for the
Applied AI Scientist, Translational AI Lab (TRAIL), New Grad
role at
Jobright.ai Genentech is a leading biotechnology company committed to advancing science and ensuring access to healthcare. They are seeking an Applied AI Scientist to work within the Translational AI Lab, focusing on applying advanced AI methods to address challenges in disease biology and translational research, while collaborating with various scientific teams. Responsibilities: • Apply and fine-tune foundation models—such as large language models (LLMs), generative models, and multimodal encoders—for biological annotation, knowledge extraction, and biomarker hypothesis generation. • Design workflows and pipelines that integrate model outputs with real-world biological data (e.g., gene expression, perturbation screens, clinical biomarkers). • Evaluate model performance, robustness, and interpretability in collaboration with BRAID and therapeutic scientists. • Build tools and interfaces (e.g., notebooks, dashboards, chat-based validation flows) that connect AI capabilities with experimental and translational use cases. • Contribute to internal benchmarking, testing, and validation frameworks that enable scientific and strategic decision-making. • Collaborate across diverse teams of biologists, modelers, and software engineers to translate AI capabilities into program-level insights. Qualifications: Required: • Ph.D. or M.S. (with relevant experience) in Machine Learning, Computer Science, Data Science, Computational Biology, or a related quantitative field. • 0-5 years of relevant experience in AI, machine learning, or computational biology. • Strong technical foundation in deep learning and probabilistic modeling, with demonstrated project or publication experience. • Experience building and deploying ML/AI pipelines using Python, PyTorch, HuggingFace, and/or JAX; familiarity with tools like LangChain, Streamlit, or MLFlow is a plus. • Able to adapt and apply existing AI models (e.g., LLMs, encoders, transformers) in a rigorous, reproducible way to new biological domains. • Comfort working with biological or clinical data types—or strong interest in learning and collaborating closely with domain experts. • Excellent communicator who can collaborate in multi-disciplinary settings and explain technical results to scientific partners. Preferred: • Exposure to biomedical or multiomic data (e.g., single-cell, bulk RNA-seq, CRISPR screens, protein interaction networks). • Hands-on experience with LLM-based workflows, prompt engineering, fine-tuning, or real-time retrieval and evaluation systems (e.g., RAG, AutoGen). • Experience with benchmarking, evaluation frameworks, or model interpretability in applied settings. • Prior involvement in translational research, target discovery, or biomarker identification is a plus but not required. Company: Genentech is a biotechnology research company that specializes in genetic testing and personalized medicines. Founded in 1976, the company is headquartered in South San Francisco, California, USA, with a team of 10001+ employees. The company is currently Public Company. Genentech has a track record of offering H1B sponsorships. Seniority level
Seniority level Entry level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job
Medical insurance Vision insurance 401(k) Get notified about new Artificial Intelligence Researcher jobs in
South San Francisco, CA . Machine Learning Scientist (Staff / Sr Staff) - Power Markets
Head of Computer Vision and Machine Learning
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Menlo Park, CA $180,000.00-$200,000.00 1 month ago Founding Computational Scientist, AI Drug Discovery
San Francisco, CA $120,000.00-$210,000.00 2 weeks ago Perception Machine Learning Algorithm Engineer
Redwood City, CA $175,000.00-$220,000.00 3 months ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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