

Machine Learning/ AI Bioinformatics Analyst III REMOTE
β - 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.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
520
-
ποΈ - Date discovered
September 25, 2025
π - Project duration
Unknown
-
ποΈ - Location type
Remote
-
π - Contract type
Unknown
-
π - Security clearance
Unknown
-
π - Location detailed
North Chicago, IL
-
π§ - 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.
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.