Computational Biologist (Senior, Principal)

About EBVio

EBVio is a preclinical therapeutics company developing novel treatments to target the root cause of major autoimmune diseases. Its core mission is to create precision medicines that selectively eliminate cells that drive autoimmunity, delivering the potential for safer and more effective treatment. 

About the Position

Title: Computational Biologist (Senior, Principal)

EBVio seeks a talented and highly motivated Computational Biologist to join our growing team. The successful candidate will play a critical role in our data-driven pipeline, translating complex biological datasets into actionable insights at the intersection of immunology and data science. You will work cross-functionally to develop and advance novel therapeutics, directly contributing to our mission to treat major autoimmune diseases.

EBVio uses its proprietary technology platform to identify the key cells driving autoimmunity, and the associated molecules that can be used as therapeutic targets. We study these molecules in depth to understand their potential as targets, elucidating characteristics including function, distribution, regulation, structure, and connections to disease biology. This enables us to select the most effective and specific targets, and understand their relationship to patient populations and biomarkers.

Your primary responsibilities will include applying advanced statistical modeling to research target biology in depth and grounding our molecular knowledge in the context of complex disease mechanisms. To support these discovery efforts, you will develop and maintain robust computational pipelines for single-cell RNA-seq, CITE-seq, and multi-omic profiling to accelerate target discovery. Furthermore, you will ensure the integrity of our discovery engine by championing reproducible analysis practices and contributing to the development of our Laboratory Information Management System (LIMS) to bridge the gap between wet lab experiments and digital insights.

In this role, your computational expertise in immunology, high-dimensional data analysis, and statistical methods will expand our understanding of therapeutic mechanisms and disease biology, providing critical support for our antibody therapeutics program. By collaborating closely with research and preclinical teams, you will identify strategic opportunities where computational biology and data science can accelerate our pipeline and help deliver life-changing medicines to patients with autoimmune diseases.

Who you are

• You are independent, analytical, and passionate about applying computational methods to solve challenging biological problems.
• You thrive at the intersection of immunology and data science, translating complex datasets into actionable therapeutic insights.
• You are committed to reproducible research, rigorous statistical analysis, and mentoring junior team members.
• You communicate effectively across disciplines, bridging computational and experimental biology.
• You are excited about working in a fast-paced startup environment where your work directly impacts patients.

Requirements

• PhD in computational biology, bioinformatics, or related quantitative field with 5 years of post-PhD experience, including demonstrated leadership in computational biology or data science roles.
• Expert-level proficiency in single-cell RNA-seq analysis, including quality control, normalization, batch correction, dimensionality reduction, clustering, cell type annotation, and differential expression analysis.
• Extensive experience integrating multi-modal data (transcriptomics, proteomics, in vitro and in vivo data) to build mechanistic understanding of disease biology.
• Advanced programming skills in R and/or Python, with demonstrated ability to develop robust, reproducible analytical pipelines.
• Deep expertise in statistical methods and machine learning, applied to biological systems and therapeutic development.
• Proven track record of managing computational projects from conception through completion with minimal supervision.
• Exceptional communication skills, with demonstrated ability to influence scientific strategy and present complex analyses to diverse stakeholders including investors and senior leadership.
• Ability to work collaboratively in cross-functional teams and mentor junior computational biologists.
• Strong knowledge of immunology, specifically T-cell and B-cell biology.
• Version control systems (Git/GitHub) and reproducible workflow practices.
• Cloud computing platforms (AWS)

Experience Preferred but Not Required

• Experience contributing to therapeutic target selection and validation using computational approaches.
• Experience designing and implementing LIMS or integrated data systems for drug discovery.
• Strategic experience in precision medicine, biomarker development, or patient stratification.
• Experience with high-performance computing clusters.