Job Description

This range is provided by BioTalent. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $200,000.00/yr - $250,000.00/yr Senior Consultant | Commercial, AI/ML, Computational Science, Computational Biology A cutting-edge biotech company is seeking an experienced Machine Learning Scientist with expertise in data mining to analyze pre-clinical and/or clinical data. This role will focus on uncovering novel protein targets and identifying opportunities for drug optimization in immunotherapy for cancer and other diseases. Seeking a Machine Learning Scientist with a strong background in data mining, machine learning, and computational biology. The ideal candidate will work with large datasets from public and proprietary sources, leveraging AI-driven analytics to support drug discovery and optimization efforts. Key Responsibilities: Data Mining & Analysis: Utilize advanced data mining techniques on clinical and pre-clinical datasets to identify trends, patterns, and correlations. Machine Learning Model Development: Design, develop, and train machine learning models for classifying and processing research data to enhance drug discovery efforts. Protein Target Identification: Apply AI, computational biology, and bioinformatics methodologies to identify new protein targets for immunotherapy. Interdisciplinary Collaboration: Work closely with research teams, clinicians, and other stakeholders to align data-driven insights with scientific and business objectives. Results Interpretation & Communication: Present findings through reports, visualizations, and presentations for both technical and non-technical audiences. Requirements: Master’s or Ph.D. in Computer Science, Machine Learning, Biostatistics, Bioinformatics, or a related field. 3+ years in machine learning, data mining, or related fields, with a focus on clinical trial data analysis. Proficiency in Python, R, or SQL. Experience with machine learning frameworks such as TensorFlow or PyTorch. Familiarity with data visualization tools like Tableau, Power BI. Strong understanding of clinical trial design, biostatistics, and immunotherapy. Ability to convey complex data insights effectively to interdisciplinary teams. Preferred Qualifications: Experience with containerization (e.g., Docker). Understanding of data security and compliance regulations (e.g., HIPAA). Familiarity with agile development methodologies and version control systems (e.g., Git). Seniority level Mid-Senior level Employment type Full-time Job function Research, Science, and Engineering #J-18808-Ljbffr BioTalent

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