New 
Bioinformatics Machine Learning Scientist
 Spectraforce Technologies | |
 United States, Idaho, Boise | |
 Sep 09, 2025 | |
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Title: Bioinformatics Machine Learning Scientist
Length of assignment: 4 months, Remote Number of Interviews: 1 seminar + 2-3 individual interviews Top 3 - 5 Skills Needed: 1. Implementing, training AI/ML models 2. Data pre-processing for AI compatibility 3. Domain knowledge of bioinformatics 4. Experience working with genomic data 5. 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. Qualifications: * MS degree (5+ years of experience) or PhD (0 years of experience) in a quantitative field (Bioinformatics, Computer Science, Computational Genetics, Biostatistics, AI/ Machine Learning Engineer or other field with a strong quantitative and computational background)Proficiency in Python and standard ML libraries * Proficiency working on HPC or cloud environments. * Domain knowledge in bioinformatics/computational biology * Strong attention to detail, documentation, and communication skills * Ability to independently execute and troubleshoot research plan Preferred technical skills: * Experience with NumPy, Pandas, Scikit-learn, Matplotlib, and seaborn. * Experience with TensorFlow, and/or PyTorch * Experience with git for version control and collaboration Additional technical skills: * Experience with OpenCV, Scikit-image, and computer vision deep learning models * Experience with multi-modal models | |