\u003C/p>\u003C/li>\u003C/ul>\u003Ch2>\u003Cstrong>Qualifications\u003C/strong>\u003C/h2>\u003Cul style=\"min-height:1.5em\">\u003Cli>\u003Cp style=\"min-height:1.5em\">Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Strong proficiency in programming languages such as Python .\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Deep understanding of operating system internals (Unix). \u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Experience with high-performance computing (HPC) infrastructure such as Slurm and Kubernetes.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Experience with performance engineering (familiarity with profiling tools, optimizing CPU and GPU workloads, writing CUDA and Triton kernels, and so forth)\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Experience writing, building, and maintaining large-scale ETL pipelines.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Experience using deep learning libraries such as PyTorch.\u003Cbr />\u003C/p>\u003C/li>\u003C/ul>\u003Ch2>\u003Cstrong>What We Offer\u003C/strong>\u003C/h2>\u003Cul style=\"min-height:1.5em\">\u003Cli>\u003Cp style=\"min-height:1.5em\">Highly engaging work at the frontier of AI-driven drug discovery that will fundamentally change how new drugs are created.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Opportunity to work with world-renowned leaders in the AI x biology ecosystem, contributing to impactful advancements in the field.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Highly competitive salary and equity package.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Comprehensive healthcare and wellness benefits.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Continuous learning and career growth opportunities.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Collaborative and supportive startup culture.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">A high-energy team committed to increasing the efficiency of creating new medicines and positively impacting millions of lives.\u003Cbr />\u003C/p>\u003C/li>\u003C/ul>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>Chai Discovery, Inc. is an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences to apply.\u003C/strong>\u003C/p>","https://jobs.ashbyhq.com/chaidiscovery/64fcb54e-d008-4551-858a-5c0f3b48f270",{"id":65,"name":66,"urlSafeSlug":95,"logo":67},[159],{"city":98,"region":21,"country":22},"2025-07-01T08:02:23.713Z","Candidates should possess a Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. Strong proficiency in programming languages like Python is required, alongside a deep understanding of operating system internals, particularly Unix. Experience with high-performance computing (HPC) infrastructure, including Slurm and Kubernetes, is essential, as is familiarity with performance engineering tools and techniques such as profiling, optimizing CPU and GPU workloads, and writing CUDA and Triton kernels. Experience with large-scale ETL pipelines and deep learning libraries like PyTorch is also necessary.","The AI Engineer will collaborate with AI researchers to design, implement, and maintain software systems supporting AI-driven drug discovery applications. They will develop and optimize high-performance computing (HPC) infrastructure, integrate AI models into production systems and applications, ensuring scalability and reliability, and contribute to the overall AI-driven drug discovery pipeline.",{"employment":164,"compensation":166,"experience":168,"visaSponsorship":174,"location":175,"skills":176,"industries":187},{"type":165},{"id":107,"name":108,"description":109},{"minAnnualSalary":7,"maxAnnualSalary":7,"currency":111,"details":167},"Base salary with potential bonuses.",{"experienceLevels":169},[170],{"id":171,"name":172,"description":173},"6d29fb0e-c389-4488-940b-7ca93a9f10bb","Junior (1 to 2 years)","Gain initial job experience and develop your skills.",{"type":35},{"type":103},[177,178,179,180,181,182,183,184,185,186],"Python","Unix","High-Performance Computing (HPC)","Slurm","Kubernetes","Performance Engineering","CUDA","Triton","ETL Pipelines","Deep Learning",[188,189],{"id":131,"name":134},{"id":131,"name":124},{"id":191,"title":192,"alternativeTitles":193,"slug":209,"jobPostId":191,"description":210,"applyUrl":211,"company":66,"companyOption":212,"locations":213,"listingDate":215,"listingSite":100,"isRemote":48,"requirements":216,"responsibilities":217,"status":103,"expiryDate":7,"summary":218},"5fb1e116-6a91-4dde-b846-484edbba1fbe","Applied AI/Bio Scientist - Biologics",[194,195,196,197,198,199,200,201,202,203,204,205,206,207,208],"Computational Biologist - Biologics","Bioinformatics Scientist - Biologics","Protein Scientist - Computational Biology","AI Scientist - Biologics Drug Discovery","Biologics Data Scientist","Molecular Biologist - Computational Focus","Applied Bioinformatics Specialist","Biotech Computational Scientist","Drug Discovery Computational Biologist","Protein Engineering Scientist - AI","Bioinformatics Analyst - Biologics","Computational Scientist - Antibody Engineering","AI-Driven Biologics Researcher","Biologics Computational Scientist","Bioinformatics Scientist - Drug Design","applied-ai-bio-scientist-biologics-5fb1e116-6a91-4dde-b846-484edbba1fbe","Salary: \n\nLocation Type: \n\nEmployment Type: FullTime\n\n\u003Ch2>\u003Cstrong>About Chai Discovery\u003C/strong>\u003C/h2>\u003Cp style=\"min-height:1.5em\">Chai Discovery is re-architecting drug discovery by building frontier AI foundation models to design molecules.\u003C/p>\u003Cp style=\"min-height:1.5em\">The founding Chai team has brought together the leading researchers in this space, with seminal research accomplishments at top AI labs. The team has led AI-for-biology programs at premier labs, co-invented protein language modelling, built state-of-the-art folding algorithms, and sold AI adopted by top-10 pharma companies. The company is backed by top-tier investors, including OpenAI, Thrive Capital, Dimension, Conviction, Lachy Groom, Amplify, and many more.\u003C/p>\u003Cp style=\"min-height:1.5em\">We’re looking to add a few members to our team of scientists and engineers, who obsess over creating the most powerful AI models for antibody discovery, and turning them into products that can transform how medicines are made.\u003C/p>\u003Ch2>\u003Cstrong>About the role\u003C/strong>\u003C/h2>\u003Cp style=\"min-height:1.5em\">We’re hiring an exceptional and versatile Applied Computational Scientist (Biologics) to play a critical role in therapeutic design benchmarking at Chai. You won’t just focus on a single target — you’ll work across dozens of the most compelling problems in biotech, helping to unveil new possibilities in drug design.\u003C/p>\u003Cp style=\"min-height:1.5em\">At Chai, we’re entering a pivotal stage. After years of foundational R&D, our models are moving beyond protein structure prediction and into real-world therapeutic engineering. We're now tasking our AI models on a broad spectrum of drug development challenges, at an exciting scale of wet-lab validation.\u003C/p>\u003Cp style=\"min-height:1.5em\">This is not a typical role — it’s a chance to push the boundaries of drug discovery by building some of the most advanced AI drug design models ever built.\u003C/p>\u003Ch2>\u003Cstrong>About you\u003C/strong>\u003C/h2>\u003Cp style=\"min-height:1.5em\">We are seeking a biologist with rigorous therapeutic research, with a deep desire to push the limits of what’s possible in therapeutic design and a restless drive to solve real-world problems and iterate quickly.\u003C/p>\u003Cp style=\"min-height:1.5em\">You should have:\u003C/p>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>Significant scientific experience:\u003C/strong>\u003C/p>\u003Cul style=\"min-height:1.5em\">\u003Cli>\u003Cp style=\"min-height:1.5em\">A strong command of molecular biology, protein science, or a related discipline\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">5+ years of experience in biotech or biomedical research (antibody discovery or related areas preferred)\u003C/p>\u003C/li>\u003C/ul>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>Fluency in applied computational biology:\u003C/strong>\u003C/p>\u003Cul style=\"min-height:1.5em\">\u003Cli>\u003Cp style=\"min-height:1.5em\">Comfort writing and debugging code (Python preferred) — you won’t need to build AI models in this role, but you will be using them on a daily basis\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Writing Python scripts for data analysis (e.g. ingest diverse data types, compute basic statistics like correlation or enrichment, create quantitative plots)\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Interpreting protein structures in PyMol, analyzing sequence alignments, and producing clear illustrations to support scientific conclusions\u003C/p>\u003C/li>\u003C/ul>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>Ability to lead lab projects, including:\u003C/strong>\u003C/p>\u003Cul style=\"min-height:1.5em\">\u003Cli>\u003Cp style=\"min-height:1.5em\">Defining the experimental efforts required to reach high-level goals (e.g. elucidate a drug’s biochemistry, MoA, or specificity)\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Interrogating and refining lab results with sufficient rigor for a TPP and/or peer-reviewed publication\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">You have fun solving problems that others think are impossible\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Comfort with ambiguity and rapid context-switching\u003C/p>\u003C/li>\u003C/ul>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>Relevant hands-on experience (any subset is valuable):\u003C/strong>\u003C/p>\u003Cul style=\"min-height:1.5em\">\u003Cli>\u003Cp style=\"min-height:1.5em\">Protein production and purification\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Affinity measurements (BLI, SPR, ELISA)\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Antibody polyreactivity characterization\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Antibody solubility and developability assessments (aggregation, viscosity)\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Cell-based functional assays (e.g. receptor signaling, cytokine release, FACS)\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">In vivo modeling (PK/PD, efficacy, toxicity)\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">3D structure determination and analysis\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Phage and/or yeast display\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Rational mutagenesis of antibodies\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">Procuring reagents and coordinating contract research work\u003C/p>\u003C/li>\u003C/ul>\u003Ch2>\u003Cstrong>What we offer\u003C/strong>\u003C/h2>\u003Cul style=\"min-height:1.5em\">\u003Cli>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>Frontier technology:\u003C/strong> we’re developing the next frontier of AI-driven drug discovery that will fundamentally change how new therapeutics are created.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>World-class team:\u003C/strong> opportunity to work with world-renowned leaders in the AI x biology and technology ecosystem who have created some of the most impactful advancements.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>Highly competitive compensation:\u003C/strong> we offer highly competitive salary, equity package, and healthcare and wellness benefits.\u003C/p>\u003C/li>\u003Cli>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>Velocity and ownership: \u003C/strong>we move incredibly fast, which means continuous learning and career growth opportunities are a guarantee. Every team member owns a significant slice of the roadmap.\u003C/p>\u003C/li>\u003C/ul>\u003Cp style=\"min-height:1.5em\">\u003Cstrong>Strong team culture: \u003C/strong>Collaborative and supportive startup culture in a small and high-energy team who are guided by our mission to increase the efficiency of creating new medicines and positively impact millions of lives.\u003C/p>","https://jobs.ashbyhq.com/chaidiscovery/5e233eb8-7174-4844-b24d-6b5873269e62",{"id":65,"name":66,"urlSafeSlug":95,"logo":67},[214],{"city":98,"region":21,"country":22},"2025-07-01T08:02:24.85Z","Candidates should possess significant scientific experience, typically 5+ years in biotech or biomedical research, with a strong command of molecular biology, protein science, or a related discipline. They should be fluent in applied computational biology, comfortable writing and debugging code (preferably in Python), and capable of interpreting protein structures in PyMol and analyzing sequence alignments. Additionally, applicants should have experience with protein production and purification, affinity measurements, antibody polyreactivity characterization, and cell-based functional assays.","The Applied Computational Scientist (Biologics) will play a critical role in therapeutic design benchmarking at Chai Discovery, working across dozens of biotech problems to unveil new possibilities in drug design. They will define experimental efforts to reach high-level goals, interrogate and refine lab results with rigor for TPPs and publications, and lead lab projects. Furthermore, they will use Python scripts for data analysis, including ingesting diverse data types, computing statistics, and creating quantitative plots, and will contribute to the validation of AI models through hands-on experience with techniques such as protein production, affinity measurements, and antibody characterization.",{"employment":219,"compensation":221,"experience":222,"visaSponsorship":225,"location":226,"skills":227,"industries":234},{"type":220},{"id":107,"name":108,"description":109},{"minAnnualSalary":7,"maxAnnualSalary":7,"currency":111,"details":7},{"experienceLevels":223},[224],{"id":171,"name":172,"description":173},{"type":35},{"type":103},[228,229,230,231,232,233],"Molecular Biology","Protein Science","Therapeutic Design","Drug Design","AI","Computational Science",[235,236],{"id":64,"name":63},{"id":131,"name":134},["Reactive",238],{"$ssite-config":239},{"env":240,"name":241,"url":242},"production","nuxt-app","https://jobo.world",["Set"],["ShallowReactive",245],{"company-Chai-Discovery":-1,"company-jobs-4b69743d-46e7-4986-9c4f-f6e6f6a52c6b-carousel":-1},"/company/Chai-Discovery",{}]