Junior Full Stack Data Scientist - Computational Biophysics & Machine Learning
We are seeking a highly motivated Junior Full Stack Data Scientist to join an innovative team working at the intersection of healthcare, computational biophysics, biological system modeling/simulation, and machine learning. This role involves collaborating closely with senior team members on high-performance, computationally intensive algorithms and contributing to optimizing them for scalability and efficiency. Key responsibilities include writing clean, efficient, and well-documented Python code for algorithm development and data processing.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Job Title: Junior Full Stack Data Scientist – Computational Biophysics & Machine Learning
Location: Remote (U.S.-based candidates only)
Work Hours: Must be able to work EST business hours
Industry: Healthcare/Pharma
Duration: 12+ months
Compensation: Open (based on experience)
Level: Entry to Junior
About the Role
We are seeking a highly motivated Junior Full Stack Data Scientist to join an innovative team working at the intersection of healthcare, computational biophysics, biological system modeling/simulation, and machine learning.
In this role, you will collaborate closely with senior team members on high-performance, computationally intensive algorithms and contribute to optimizing them for scalability and efficiency. 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 complex computational algorithms used in biological system modeling and simulation
- Collaborate on the development and maintenance of full stack data applications and visualization tools
- Work with large-scale datasets, particularly in healthcare and bioinformatics domains
- Support 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
Interested in remote work opportunities in Machine Learning & AI? Discover Machine Learning & AI Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
Required Qualifications
- Bachelor’s degree in Computer Science, Data Science, Mathematics, or a related field
- Master’s degree is a strong plus
- Proficiency in Python 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 such as PyTorch, Scikit-Learn, and NumPy
- Strong problem-solving skills and a willingness to learn in a collaborative environment
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
Preferred Qualifications
- 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)
- Experience working in Linux environments and scripting with Bash
- Exposure to high-performance computing (HPC) or parallel computing
Work Environment
- Fully remote role
- Collaborative, research-driven culture
- Strong focus on mentorship and professional development
Similar Jobs
Explore other opportunities that match your interests
Senior/Staff Engineer - Distributed Systems and ML Large-Scale Training
pluralis research
cartol
Head of Artificial Intelligence
