Principal Computational Biologist

Location: Fallston

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