Employer Industry: Biotechnology and Genetic Medicine

Why consider this job opportunity:
- Competitive salary with comprehensive benefits package
- Opportunity for career advancement and growth within the organization
- Work remotely with occasional on-site requirements at facilities in the U.S.
- Engage in cutting-edge research and development in genetic therapies
- Collaborative and multidisciplinary team environment
- Chance to make a significant impact on patient care and outcomes

What to Expect (Job Responsibilities):
- Develop and implement advanced computational biology and AI/ML models for drug discovery projects
- Create deep learning models to derive insights from biological datasets and support scientific decision-making
- Collaborate with research scientists to identify key scientific challenges and curate datasets for machine learning solutions
- Evaluate and adopt tools to enhance computational biology and machine learning workflows
- Maintain and document codebase and workflows for ML/AI models

What is Required (Qualifications):
- PhD in Computational Biology, Machine Learning, Biomedical/Chemical Engineering, or a related field
- 1-2 years of relevant experience, preferably in the biotech or pharmaceutical industry
- Expertise in machine learning and neural network models on biological datasets
- Proficiency in programming languages such as Python, R, and SQL
- Experience with modern deep learning frameworks like PyTorch, TensorFlow, or scikit-learn

How to Stand Out (Preferred Qualifications):
- Background in gene therapy and gene editing technologies
- Experience in developing machine learning models for DNA/RNA/proteins
- Familiarity with large-scale computing and cloud infrastructures
- Strong communication skills and ability to work within a multidisciplinary team
- Commitment to continuous learning and improvement

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