Remote Junior Full-Stack Data Scientist - Bioinformatics & ML

Jsr-Tech-Consulting; United States; Remote; USD 65,000 - 90,000; Full time

Job summary

Jsr-Tech-Consulting seeks a Junior Full Stack Data Scientist to join a healthcare-focused team. You will work on computational biophysics, machine learning, and scientific computing with a strong emphasis on Python-based data pipelines and visualization.

The role offers remote work with opportunities across bioinformatics and modeling domains, collaborating with senior scientists to optimize algorithms and scale simulations. A strong foundation in Python and ML is essential.

Qualifications

• Bachelor's in CS/Data Science/Math or related field is required.
• Master's degree is a strong plus.
• Proficient in Python for data manipulation and ML tasks.
• Ability to understand and work with complex algorithms.
• Exposure to ML frameworks such as PyTorch, Scikit-Learn, NumPy.
• Experience or interest in bioinformatics, computational modeling, or scientific computing.

Responsibilities

• Write clean, efficient Python code for algorithm development.
• Optimize computational algorithms for performance and scalability.
• Develop and maintain full stack data apps and visualizations.
• Work with large healthcare/biotech datasets.
• Implement classical and deep learning models using Python tools.
• Collaborate on integrating and analyzing biological data with HPC.

Skills

Python programming

ML frameworks

Bioinformatics

Computational modeling

Scientific computing

Data processing

HPC

Education

Bachelor's degree in CS/DS/Math

Master's degree

Tools

PyTorch

Scikit-Learn

NumPy

Flask

MongoDB

D3.js

HTML/CSS

Bash

Linux

Job description

Jsr-Tech-Consulting seeks a Junior Full Stack Data Scientist to join a healthcare-focused team. You will work on computational biophysics, machine learning, and scientific computing with a strong emphasis on Python-based data pipelines and visualization.

The role offers remote work with opportunities across bioinformatics and modeling domains, collaborating with senior scientists to optimize algorithms and scale simulations. A strong foundation in Python and ML is essential.