Job Title: Junior Full Stack Data Scientist – Computational Biophysics & Machine Learning Location: Remote Level: Entry to Junior About the Role We are seeking a highly motivated Junior Full Stack Data Scientist to join our innovative team focused on healthcare, computational biophysics, biological system modeling/simulation, and machine learning. You will work closely with senior team members on high-performance, computationally intensive algorithms and help optimize them for better performance and scalability. This is a unique opportunity to gain hands-on experience across data science, software engineering, and domain-specific modeling in a cutting-edge interdisciplinary environment. Key Responsibilities • Write clean, efficient, and well-documented Python code for algorithm development and data processing. • Assist in optimizing highly complex, computational algorithms used in simulations and modeling of biological systems. • Collaborate on the development and maintenance of full stack data applications and visualization tools. • Work with large-scale datasets, especially in the healthcare and bioinformatics domain. • Support the implementation of classical and deep learning models using Python-based frameworks. • Help integrate and analyze biological and clinical data using high-performance computing (HPC) techniques. Highly Desired Qualifications • Bachelor's degree in Computer Science, Data Science, Mathematics, or a related field is required. • A Master's degree is a strong plus. • Proficient in Python programming, especially for data manipulation, machine learning, and algorithm development. • Ability to understand and work with complex algorithms and dynamic data structures. • Exposure to machine learning frameworks (e.g., PyTorch, Scikit-Learn, NumPy). • Experience or strong interest in bioinformatics, computational modeling, or scientific computing. • Strong problem-solving skills and an eagerness to learn and grow in a collaborative environment. Nice to Have • Experience with SQL, C++, or MATLAB. • Familiarity with front-end tools for visualization (HTML/CSS, D3.js). • Exposure to full stack development (e.g., Flask, MongoDB). • Prior work with Linux environments and scripting in Bash. • Experience with HPC environments or parallel computing. Work Environment • Remote-friendly • Collaborative, research-driven culture • Focus on professional development and mentoring If you're excited about solving meaningful problems at the intersection of healthcare, machine learning, and computational science, we encourage you to apply.