Note: The job is a remote job and is open to candidates in USA. JSR Tech Consulting is seeking a Junior Full Stack Data Scientist to support work at the intersection of healthcare, computational biophysics, biological system modeling, and machine learning. The role involves developing Python algorithms, optimizing computational simulations, building data applications and visualization tools, and analyzing large-scale biological and clinical datasets.
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
Skills
- Bachelor's degree in Computer Science, Data Science, Mathematics, or a related field is required
- 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
- A Master's degree is a strong plus
- 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
Benefits
- Remote-friendly work environment
- Focus on professional development and mentoring
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