Senior Computational Biologist

Bexorg • New Haven, CT

90d

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• Design, implement, and optimize computational pipelines for processing high-throughput, multi-modal biological data.
• Integrate diverse datasets to produce spatially and temporally resolved profiles of brain biology.
• Work closely with experimental biologists and engineers to translate data findings into actionable insights for drug discovery and development.
• Develop and apply statistical models and machine learning approaches to interrogate and visualize complex biological data.
• Ensure robust data quality, reproducibility, and scalability across large datasets.
• Present research findings in internal meetings, conferences, and contribute to peer-reviewed publications.

Benefits

• Opportunity to work at the forefront of neuroscience and drug discovery.
• Collaborative work environment with a multidisciplinary team.
• Competitive compensation package including stock options.
• Career growth opportunities in a rapidly scaling company.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 11-50 employees