Bioinformatics Machine Learning Scientist
Spectraforce
US
Remote
a day ago
Job Description
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
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $ 40.00/hr.
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
Applicant Notices & Disclaimers
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At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $ 40.00/hr.