JSR Tech Consulting

AI/ML Associate

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Junior Full Stack Data Scientist in Healthcare/Pharma, lasting 12+ months, with remote work for U.S. candidates. Key skills include Python, machine learning frameworks, and data processing; a Bachelor's degree is required, Master's preferred.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
April 3, 2026
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
Remote
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Deep Learning #C++ #Data Science #Computer Science #PyTorch #Scripting #Mathematics #SQL (Structured Query Language) #Scala #NumPy #AI (Artificial Intelligence) #ML (Machine Learning) #Datasets #Python #MongoDB #Flask #Bash #Linux #Data Manipulation #Visualization #Data Processing #HTML (Hypertext Markup Language) #Matlab
Role 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 β€’ Write clean, efficient, and well-documented Python code for algorithm development and data processing β€’ Assist in optimizing complex computational algorithms used in biological system modeling and simulation β€’ Collaborate on the development and maintenance of full stack data applications and visualization tools β€’ Work with large-scale datasets, particularly in healthcare and bioinformatics domains β€’ Support implementation of classical and deep learning models using Python-based frameworks β€’ Help integrate and analyze biological and clinical data using high-performance computing (HPC) techniques Required Qualifications β€’ Bachelor’s degree in Computer Science, Data Science, Mathematics, or a related field β€’ Master’s degree is a strong plus β€’ Proficiency in Python for data manipulation, machine learning, and algorithm development β€’ Ability to understand and work with complex algorithms and dynamic data structures β€’ Exposure to machine learning frameworks such as PyTorch, Scikit-Learn, and NumPy β€’ Strong problem-solving skills and a willingness to learn in a collaborative environment Preferred Qualifications β€’ Experience with SQL, C++, or MATLAB β€’ Familiarity with front-end tools for visualization (HTML, CSS, D3.js) β€’ Exposure to full stack development (e.g., Flask, MongoDB) β€’ Experience working in Linux environments and scripting with Bash β€’ Exposure to high-performance computing (HPC) or parallel computing Work Environment β€’ Fully remote role β€’ Collaborative, research-driven culture β€’ Strong focus on mentorship and professional development