AI/ML Associate - REMOTE

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.