As a visionary Principal Research Scientist, you will be leading groundbreaking research at the intersection of Artificial Intelligence/Machine Learning and Biotechnology. Your role will involve developing novel algorithms and computational approaches to solve complex biological challenges, accelerate drug discovery, and advance personalized medicine. You will define research roadmaps, mentor junior researchers, and collaborate with cross-functional teams. Your work will include developing predictive models for biological processes, analyzing large-scale omics data, and designing AI-driven experiments. Expertise in deep learning, natural language processing, reinforcement learning, and statistical modeling applied to biological systems is highly desired. You will be expected to publish research findings in top-tier scientific journals and present at international conferences, establishing the organization as a leader in the field.

Key Responsibilities:

• Lead and conduct advanced research in AI/ML for biotechnology applications.
• Develop and implement novel algorithms for biological data analysis.
• Build predictive models for drug discovery and personalized medicine.
• Analyze large-scale genomic, proteomic, and other biological datasets.
• Design and oversee AI-driven experimental workflows.
• Mentor and guide a team of research scientists and engineers.
• Collaborate with internal and external stakeholders, including academic partners.
• Publish research findings in leading scientific journals and present at conferences.
• Contribute to patent applications and intellectual property development.
• Stay abreast of the latest advancements in AI/ML and life sciences.

Qualifications

• Ph.D. in Computer Science, Bioinformatics, Computational Biology, or a related field.
• Minimum 10 years of post-doctoral research experience in AI/ML applications in life sciences.
• Proven track record of leading research projects and publishing in high-impact journals.
• Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (Python).
• Strong understanding of biological sciences, molecular biology, or genomics.
• Experience with large biological datasets and bioinformatics tools.
• Excellent analytical, problem-solving, and critical thinking skills.
• Demonstrated ability to mentor and manage research teams.
• Strong communication and presentation skills.
• Experience with cloud computing platforms and high-performance computing. As a visionary Principal Research Scientist, you will be leading groundbreaking research at the intersection of Artificial Intelligence/Machine Learning and Biotechnology. Your role will involve developing novel algorithms and computational approaches to solve complex biological challenges, accelerate drug discovery, and advance personalized medicine. You will define research roadmaps, mentor junior researchers, and collaborate with cross-functional teams. Your work will include developing predictive models for biological processes, analyzing large-scale omics data, and designing AI-driven experiments. Expertise in deep learning, natural language processing, reinforcement learning, and statistical modeling applied to biological systems is highly desired. You will be expected to publish research findings in top-tier scientific journals and present at international conferences, establishing the organization as a leader in the field.

Key Responsibilities:

• Lead and conduct advanced research in AI/ML for biotechnology applications.
• Develop and implement novel algorithms for biological data analysis.
• Build predictive models for drug discovery and personalized medicine.
• Analyze large-scale genomic, proteomic, and other biological datasets.
• Design and oversee AI-driven experimental workflows.
• Mentor and guide a team of research scientists and engineers.
• Collaborate with internal and external stakeholders, including academic partners.
• Publish research findings in leading scientific journals and present at conferences.
• Contribute to patent applications and intellectual property development.
• Stay abreast of the latest advancements in AI/ML and life sciences.

Qualifications

• Ph.D. in Computer Science, Bioinformatics, Computational Biology, or a related field.
• Minimum 10 years of post-doctoral research experience in AI/ML applications in life sciences.
• Proven track record of leading research projects and publishing in high-impact journals.
• Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and programming languages (Python).
• Strong understanding of biological sciences, molecular biology, or genomics.
• Experience with large biological datasets and bioinformatics tools.
• Excellent analytical, problem-solving, and critical thinking skills.
• Demonstrated ability to mentor and manage research teams.
• Strong communication and presentation skills.
• Experience with cloud computing platforms and high-performance computing.