Bachelor's degree in Computer Science, Data Science, Mathematics, or a related field (Master's degree strongly preferred)
Proficient in Python for data manipulation, machine learning, and algorithm development
Experience with 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 a collaborative mindset
Requirements:
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 healthcare and bioinformatics datasets; support the implementation of classical and deep learning models using Python-based frameworks
Job description
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.
