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Bexorg is revolutionizing drug discovery by restoring molecular activity in postmortem human brains. Through our BrainEx platform, we directly experiment on functionally preserved human brain tissue, creating enormous high-fidelity molecular datasets that fuel AI-driven breakthroughs in treating CNS diseases. We are looking for a Junior Data Scientist to join our team and dive into this one-of-a-kind data. In this onsite role, you will work at the intersection of computational biology and machine learning, helping analyze high-dimensional brain data and uncover patterns that could lead to the next generation of CNS therapeutics. This is an ideal opportunity for a recent graduate or early-career scientist to grow in a fast-paced, mission-driven environment.
The Job
- Data Analysis & Exploration: Work with large-scale molecular datasets from our BrainEx experiments – including transcriptomic, proteomic, and metabolic data. Clean, transform, and explore these high-dimensional datasets to understand their structure and identify initial insights or anomalies.
- Collaborative Research Support: Collaborate closely with our life sciences, computational biology and deep learning teams to support ongoing research. You will help biologists interpret data results and assist machine learning researchers in preparing data for modeling, ensuring that domain knowledge and data science intersect effectively.
- Machine Learning Model Execution: Run and tune machine learning and deep learning models on real-world central nervous system (CNS) data. You’ll help set up experiments, execute training routines (for example, using scikit-learn or PyTorch models), and evaluate model performance to extract meaningful patterns that could inform drug discovery.
- Statistical Insight Generation: Apply statistical analysis and visualization techniques to derive actionable insights from complex data. Whether it’s identifying gene expression patterns or correlating molecular changes with experimental conditions, you will contribute to turning data into scientific discoveries.
- Reporting & Communication: Document your analysis workflows and results in clear reports or dashboards. Present findings to the team, highlighting key insights and recommendations. You will play a key role in translating data into stories that drive decision-making in our R&D efforts.
- Strong Python Proficiency: Expert coding skills in Python and deep familiarity with the standard data science stack. You have hands-on experience with NumPy, pandas, and Matplotlib for data manipulation and visualization; scikit-learn for machine learning; and preferably PyTorch (or similar frameworks like TensorFlow) for deep learning tasks.
- Educational Background: A Bachelor’s or Master’s degree in Data Science, Computer Science, Computational Biology, Bioinformatics, Statistics, or a related field. Equivalent practical project experience or internships in data science will also be considered.
- Machine Learning Knowledge: Solid understanding of machine learning fundamentals and algorithms. Experience developing or applying models to real or simulated datasets (through coursework or projects) is expected. Familiarity with high-dimensional data techniques or bioinformatics methods is a plus.
- Analytical & Problem-Solving Skills: Comfortable with statistics and data analysis techniques for finding signals in noisy data. Able to break down complex problems, experiment with solutions, and clearly interpret the results.
- Team Player: Excellent communication and collaboration skills. Willingness to learn from senior scientists and ability to contribute effectively in a multidisciplinary team that includes biologists, data engineers, and AI researchers.
- Motivation and Curiosity: Highly motivated, with an evident passion for data-driven discovery. You are excited by Bexorg’s mission and eager to take on challenging tasks – whether it’s mastering a new analysis method or digging into scientific literature – to push our research forward.