Bioinformatics Machine Learning Scientist
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Job Location:
Jersey City - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
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.
Responsibilities:
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.
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.
- 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.
- Experience with NumPy Pandas Scikit-learn Matplotlib and seaborn.
- Experience with TensorFlow and/or PyTorch.
- Experience with git for version control and collaboration.
- Experience with OpenCV Scikit-image and computer vision deep learning models.
- Experience with multi-modal models.
- 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.
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
