Senior Computational Biologist

Bexorg • Full-time • New Haven, CT, US • 3m ago

About Us

Bexorg is a cutting-edge biotech startup focused on CNS drug discovery, leveraging its proprietary BrainEx platform to conduct preclinical studies on human and porcine brains. We combine advanced wet-lab experiments with AI/ML-driven drug discovery through our XO Digital platform to revolutionize the understanding and treatment of brain disorders. We are seeking a Computational Biologist to develop and optimize computational pipelines to process and
analyze complex, multi-modal datasets. You will play a critical role in extracting actionable insights from our proprietary datasets and enable downstream AI models to more accurately capture human brain complexity.

Essential Duties/Tasks:

Data Integration & Pipeline Development: Design, implement, and optimize computational pipelines for processing high-throughput, multi-modal biological data.
Multi-Modal Analysis: Integrate diverse datasets to produce spatially and temporally resolved profiles of brain biology.
Collaborative Research: Work closely with experimental biologists, engineers, to translate data findings into actionable insights for drug discovery and development
Statistical & Machine Learning Methods: Develop and apply statistical models and machine learning approaches to interrogate and visualize complex biological data.
Quality Control & Scalability: Ensure robust data quality, reproducibility, and scalability across large datasets.
Scientific Communication: Present research findings in internal meetings, conferences, and contribute to peer-reviewed publications.

Qualifications:

PhD in Bioinformatics, Computational Biology, or a related field with clearly relevant computational projects
Demonstrated experience with multi-omics data analysis, ideally within a neurological or biomedical context.
Experience with RNAseq technologies, including sc/snRNAseq
Proficiency in programming languages such as Python and R, with hands-on experience using standard bioinformatics tools.
Strong background in developing scalable computational workflows and data integration strategies.
Experience with high-performance computing or cloud-based data processing.
Excellent problem-solving skills, with the ability to work collaboratively in a multidisciplinary environment.

Preferred Qualifications:

Prior work in neurobiology or neurological disease research.
A strong publication record in peer-reviewed scientific journals.
Familiarity with advanced visualization techniques and data management best practices.

What We Offer: