Job Description

REMOTE ROLE

Pay: $60-$65/hr

Title: Bioinformatics Machine Learning Scientist

REQUIRED:

• PhD in Computational Science, Computer Science, Data Science, Bioinformatics, Computational Genetics, Biostatistics, AI/ Machine Learning Engineer
• Proficiency in Python programming, with demonstrable experience in PyTorch or TensorFlow.
• Understanding of deep learning models and applied experience in deploying AI/ML solutions.
• genomic data analysis
• Transcriptomics
• Imaging data
• Very large data sets

Job Description:

• Implementing, training AI/ML models
• Data pre-processing for AI compatibility
• Domain knowledge of bioinformatics
• Experience working with genomic data
• 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:

• Support senior analysts in implementing, training, and troubleshooting AI models.
• Ingest, clean, and preprocess large-scale transcriptomic and imaging datasets for AI workflows.
• Collaborate with scientific and technical teams to translate biological questions into computational solutions.
• Document processes and outcomes ensuring reproducibility and transparency.
• Assist in interpreting model outputs to advance the understanding of drug MOA.
• Work with agility on time-bound projects with critical deliverables.

Job Tags

Remote work,

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