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 projectsDemonstrated experience with multi-omics data analysis, ideally within a neurological or biomedical context.Experience with RNAseq technologies, including sc / snRNAseqProficiency 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 :
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.