AI/ML Associate - REMOTE

Jsr-Tech-Consulting; United States; A distancia; USD 65.000 - 90.000; Jornada completa

Descripción de la vacante

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.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Python programming

ML frameworks

Bioinformatics

Computational modeling

Scientific computing

Data processing

HPC

Educación

Bachelor's degree in CS/DS/Math

Master's degree

Herramientas

PyTorch

Scikit-Learn

NumPy

Flask

MongoDB

D3.js

HTML/CSS

Bash

Linux

Descripción del empleo

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