Principal Computational Biologist

A venture backed biotech start up, developing AI foundational models to revolutionize the production of human tissue for cell therapies at scale is looking to bring on a Principal Computational Biologist with deep expertise in biological data analysis to bridge the gap between cutting-edge research and impactful real-world applications. This role is ideal for someone with a passion for large-scale transcriptomic data and its integration into scalable software and machine learning–driven platforms. You will contribute to single-cell and spatial transcriptomics analysis and help translate scientific breakthroughs into innovative cell replacement therapies. Responsibilities Lead new research initiatives at the interface of bioinformatics and AI-driven stem cell biology Analyze extensive transcriptomic datasets to inform machine learning models and validate biological hypotheses Design and optimize bioinformatics pipelines for the preprocessing, analysis, and interpretation of high-dimensional transcriptomic data Stay current with advances in bioinformatics and AI, especially in developmental biology, single-cell multi-modal analysis, and spatial transcriptomics Work independently in a fast-paced startup environment, helping shape the computational biology roadmap Mentor and provide technical guidance to team members Collaborate cross-functionally with computational biologists, ML researchers, and software engineers Qualifications MSc or higher in Computational Biology, Bioinformatics, Computer Science, or related field 3+ years of experience analyzing large-scale genomic and transcriptomic datasets (e.g., single-cell RNA-seq, spatial omics) 6+ years of software, ML, or analytics development in industry settings Strong computational/statistical skills with a track record in high-dimensional biological data analysis Excellent programming skills (preferably Python or another object-oriented language) Experience developing and evaluating machine learning models (e.g., PyTorch) A passion for data-driven biology and its potential to revolutionize healthcare Preferred Qualifications Domain knowledge in developmental biology or stem cell research Experience in startup or fast-paced environments PhD with a strong publication record in bioinformatics or computational biology Experience in technically leading product development or cross-functional teams Benefits Take on a technical leadership role within a mission-driven company Collaborate with a talented and enthusiastic team at the forefront of AI and cell biology Contribute to groundbreaking therapies that address unmet medical needs Competitive salary and benefits, including flexible work options

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