Principal Research Scientist - AI in Bioinformatics

Our client, a cutting-edge research institution at the forefront of scientific discovery, is seeking a visionary Principal Research Scientist specializing in the application of Artificial Intelligence (AI) and Machine Learning (ML) to complex bioinformatics challenges. This role is based in our state-of-the-art laboratories in Chicago, Illinois, US , and requires a highly innovative individual with a proven track record of groundbreaking research and development. You will lead a team of talented scientists and engineers in exploring novel AI/ML approaches to accelerate biological discoveries, improve disease understanding, and develop advanced diagnostic and therapeutic strategies. Your work will involve tackling intricate problems in areas such as genomic data analysis, protein structure prediction, drug discovery pipelines, and systems biology modeling. The ideal candidate will possess a deep theoretical understanding of AI/ML algorithms, coupled with extensive practical experience in applying these techniques to large-scale biological datasets. You should be adept at developing and validating sophisticated computational models, implementing cutting-edge algorithms, and driving research projects from conception to publication or implementation. Strong leadership capabilities, excellent communication skills, and the ability to foster a collaborative and intellectually stimulating research environment are essential. You will be expected to secure external funding through grant proposals, mentor junior researchers, and represent the institution at international conferences. This is an exceptional opportunity to make a significant impact on the future of biological research and healthcare. Responsibilities:

Lead and mentor a team of researchers in AI/ML applications for bioinformatics. Design and implement novel AI/ML algorithms for analyzing complex biological datasets (genomics, proteomics, etc.). Develop and validate computational models for drug discovery, disease prediction, and understanding biological pathways. Collaborate with experimental biologists and clinicians to translate research findings into practical applications. Publish research findings in high-impact peer-reviewed journals and present at leading scientific conferences. Secure research funding through competitive grant applications. Stay at the forefront of advancements in AI, ML, and bioinformatics, identifying emerging trends and opportunities. Contribute to the strategic direction of the research group and institution. Ensure the ethical and responsible application of AI in biological research. Oversee data management, computational infrastructure, and project timelines. Qualifications:

Ph.D. in Computer Science, Computational Biology, Bioinformatics, Statistics, or a related field with a strong emphasis on AI/ML. 10+ years of post-doctoral research experience in bioinformatics and AI/ML. Demonstrated leadership in managing research projects and teams. Extensive publication record in top-tier journals and conference proceedings. Deep expertise in machine learning algorithms (deep learning, reinforcement learning, statistical learning). Proficiency in programming languages such as Python, R, and C++. Experience with large-scale biological data analysis and relevant software tools. Strong understanding of biological principles and pathways. Excellent written and verbal communication skills, including grant writing. Proven ability to secure research funding.