Machine Learning/ AI Bioinformatics Analyst III REMOTE

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning/AI Bioinformatics Analyst III, offering $60-$65/hr for a remote contract. Requires a PhD in relevant fields, proficiency in Python and deep learning frameworks, and experience with genomic data analysis and large datasets.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
520
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πŸ—“οΈ - Date discovered
September 25, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Remote
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
North Chicago, IL
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🧠 - Skills detailed
#ML (Machine Learning) #Programming #Statistics #Data Science #Datasets #Data Analysis #Computer Science #Deep Learning #TensorFlow #Python #AI (Artificial Intelligence) #PyTorch
Role description
REMOTE ROLE Pay: $60-$65/hr Title: Bioinformatics Machine Learning Scientist REQUIRED: β€’ PhD in Computational Science, Computer Science, Data Science, Bioinformatics, Computational Genetics, Biostatistics, AI/ Machine Learning Engineer β€’ Proficiency in Python programming, with demonstrable experience in PyTorch or TensorFlow. β€’ Understanding of deep learning models and applied experience in deploying AI/ML solutions. β€’ genomic data analysis β€’ Transcriptomics β€’ Imaging data β€’ Very large data sets Job Description: β€’ Implementing, training AI/ML models β€’ Data pre-processing for AI compatibility β€’ Domain knowledge of bioinformatics β€’ Experience working with genomic data β€’ Ability to communicate results clearly Job Description: The successful candidate will work closely with stakeholders in the Quantitative Medicine and Genomics (QM&G) organization to develop predictive AI/ML models using large-scale transcriptomic and imaging datasets to elucidate drug mechanism of action (MOA). Key responsibilities can include ingesting public data, performing data clean-up to ensure model compatibility, integrating external and internal datasets, and optimizing multi-model models. This role offers the opportunity to make a direct impact on drug development by delivering innovative data science solutions across cross-functional projects. Key Responsibilities: β€’ Support senior analysts in implementing, training, and troubleshooting AI models. β€’ Ingest, clean, and preprocess large-scale transcriptomic and imaging datasets for AI workflows. β€’ Collaborate with scientific and technical teams to translate biological questions into computational solutions. β€’ Document processes and outcomes ensuring reproducibility and transparency. β€’ Assist in interpreting model outputs to advance the understanding of drug MOA. β€’ Work with agility on time-bound projects with critical deliverables.