Machine Learning​/Frontier Scientist

A leading mid-sized biotech is seeking a highly skilled Machine Learning professional with experience in data mining to analyze large datasets from public domain sources and internal data. The ideal candidate will have a strong background in machine learning, data analysis, and programming. The primary objective of this role is to leverage AI, computational biology, and bioinformatics methods to classify and process R&D data, identifying potential opportunities for drug optimization and protein targets for immunotherapy.

• Data Mining: Apply data mining techniques to large datasets from clinical trials, using desensitized data to identify patterns, trends, and correlations.
• Machine Learning Model Development: Design, develop, and train machine learning models to classify and process R&D data, identifying potential opportunities for drug optimization.
• Protein Target Identification: Use AI, computational biology, and bioinformatics methods to identify protein targets for immunotherapy in cancers and other diseases.
• Data Analysis: Analyze and interpret results from data mining and machine learning models, providing insights and recommendations to cross-functional teams.
• Collaboration: Work closely with researchers, clinicians, and other stakeholders to ensure that data analysis and machine learning models are aligned with research goals.
• Communication: Present findings and results to both technical and non-technical audiences through reports, presentations, and visualizations.

• Education: Master’s or Ph.D. in Computer Science, Machine Learning, Biostatistics, Bioinformatics, or a related field.
• Experience: 3+ years of experience in machine learning, data mining, or a related field, with a focus on clinical trial data analysis.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience with machine learning frameworks such as Tensor Flow or PyTorch.
• Familiarity with data visualization tools such as Tableau, Power BI, or D3.js.
• Domain Knowledge: Strong understanding of clinical trial design, biostatistics, and immunotherapy principles.
• Communication Skills: Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams
• Familiarity with containerization using Docker.
• Knowledge of data security and compliance regulations such as HIPAA.
• Experience with agile development methodologies and version control systems such as Git