2 Principal Research Scientist AI In Drug Discovery jobs in whatjobs
Principal Research Scientist - AI in Drug Discovery
Posted 10 days ago
Job Viewed
Job Description
Our client is seeking a visionary Principal Research Scientist to lead cutting-edge research at the intersection of Artificial Intelligence and Scientific Discovery, specifically within the pharmaceutical domain. This is a fully remote, high-impact role focused on developing and applying advanced AI/ML models to accelerate drug discovery and development. You will leverage your expertise in machine learning, computational biology, and cheminformatics to tackle complex biological and chemical challenges. The ideal candidate is a creative thinker with a strong publication record and a passion for innovation, thriving in a collaborative, virtual research environment.
Responsibilities:
Responsibilities:
- Design and implement novel AI/ML algorithms for tasks such as drug target identification, molecule generation, property prediction, and clinical trial optimization.
- Develop and manage large-scale biological and chemical datasets for training and validating AI models.
- Collaborate closely with computational chemists, biologists, pharmacologists, and clinicians to integrate AI insights into drug discovery pipelines.
- Lead research projects from conceptualization to publication and potential IP generation.
- Stay at the forefront of AI research and its applications in life sciences, identifying new opportunities and methodologies.
- Publish research findings in high-impact peer-reviewed journals and present at international conferences.
- Mentor junior scientists and contribute to building a world-class AI research capability.
- Ensure the rigorous application of scientific methodology and data integrity in all research activities.
- Evaluate and select appropriate computational tools and platforms for AI-driven research.
- Contribute to strategic planning for future research directions and technological investments.
- Ph.D. in Computer Science, Bioinformatics, Computational Biology, Cheminformatics, or a related quantitative field with a strong AI/ML focus.
- A minimum of 10 years of relevant research experience post-Ph.D., preferably with experience in the pharmaceutical or biotechnology industry.
- Demonstrated expertise in developing and applying deep learning, reinforcement learning, or other advanced ML techniques to biological or chemical data.
- Proficiency in programming languages such as Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong understanding of biological pathways, molecular structures, and drug discovery processes.
- Proven track record of impactful scientific publications and presentations.
- Exceptional analytical, problem-solving, and critical thinking skills.
- Excellent communication and collaboration skills, essential for leading and working within a remote team.
- Experience with high-performance computing environments.
- Ability to independently drive research initiatives and manage complex projects.
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Principal Research Scientist - AI in Drug Discovery
Posted 15 days ago
Job Viewed
Job Description
Our client is seeking a world-class Principal Research Scientist to spearhead the application of Artificial Intelligence and Machine Learning in drug discovery. This is a fully remote, high-impact role that requires a deep expertise in computational biology, cheminformatics, and advanced AI methodologies. The successful candidate will lead innovative research projects focused on identifying novel drug targets, optimizing lead compounds, and predicting drug efficacy and toxicity using cutting-edge AI models. You will collaborate with a multidisciplinary team of biologists, chemists, and data scientists to accelerate the drug development pipeline. This position offers the opportunity to define the future of pharmaceutical research through intelligent systems.
Responsibilities:
Responsibilities:
- Lead the design and execution of AI/ML-driven research programs for drug discovery and development.
- Develop and apply advanced machine learning algorithms (e.g., deep learning, reinforcement learning) to analyze complex biological and chemical data.
- Identify and validate novel drug targets and therapeutic strategies through in-silico methods.
- Build predictive models for compound screening, property prediction, and ADMET profiling.
- Collaborate with computational chemists and biologists to integrate AI insights into experimental workflows.
- Stay at the forefront of AI research and its applications in the pharmaceutical industry, identifying emerging technologies and methodologies.
- Publish research findings in top-tier scientific journals and present at international conferences.
- Mentor and guide junior scientists and postdoctoral fellows in AI/ML research.
- Contribute to intellectual property generation and patent applications.
- Ensure robust data management, reproducibility, and documentation of research projects.
- Ph.D. in Computer Science, Computational Biology, Cheminformatics, Bioinformatics, or a related quantitative field.
- A minimum of 10 years of post-doctoral research experience, with a significant focus on AI/ML applications in drug discovery or life sciences.
- Proven track record of groundbreaking research, evidenced by high-impact publications and citations.
- Expertise in a wide range of AI/ML techniques, including deep learning frameworks (e.g., TensorFlow, PyTorch).
- Strong programming skills in Python and experience with relevant scientific libraries (e.g., scikit-learn, RDKit, OpenBabel).
- Proficiency in analyzing large-scale biological datasets (genomics, proteomics, transcriptomics) and chemical structures.
- Excellent understanding of drug discovery processes and relevant biological pathways.
- Exceptional problem-solving, analytical, and critical thinking abilities.
- Demonstrated leadership in guiding research projects and mentoring talent.
- Outstanding written and verbal communication skills.
- This is a fully remote position, supporting scientific initiatives for **Machakos, Machakos, KE**, and global research centers.
This advertiser has chosen not to accept applicants from your region.
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