3 Principal Research Scientist AI In Genomics jobs in whatjobs
Principal Research Scientist - AI in Genomics
Posted 20 days ago
Job Viewed
Job Description
Our client is seeking a visionary and highly accomplished Principal Research Scientist to lead groundbreaking research at the intersection of Artificial Intelligence and Genomics. This is a premier, fully remote opportunity for an individual with a distinguished track record in computational biology, bioinformatics, and advanced machine learning techniques. You will spearhead novel research projects, developing and applying AI models to unlock new insights from complex genomic datasets. Your responsibilities will include designing innovative analytical frameworks, developing predictive models for disease risk, drug discovery, and personalized medicine, and publishing your findings in top-tier scientific journals. You will guide a team of talented researchers, mentor junior scientists, and collaborate with external academic and industry partners. The ideal candidate will possess deep expertise in genomics, transcriptomics, epigenomics, and other high-throughput sequencing data. A strong command of machine learning algorithms, statistical modeling, and programming languages (Python, R) is essential. Proven experience in developing and deploying AI solutions for biological problems is critical. You will be expected to define research directions, secure funding through grant applications, and represent the client at leading scientific conferences. This role requires exceptional scientific rigor, creativity, strategic thinking, and the ability to thrive in a highly collaborative, remote research environment. The ability to translate complex scientific concepts into actionable strategies and communicate them effectively to diverse audiences, including non-experts, is paramount. We are looking for a true pioneer who can shape the future of genomic research through the power of AI.
Responsibilities:
Responsibilities:
- Lead and conduct cutting-edge research in AI applied to genomics and related biological fields.
- Develop and implement novel machine learning algorithms and statistical models for analyzing large-scale genomic datasets.
- Design and execute experiments, interpret results, and translate findings into biological insights and actionable strategies.
- Spearhead the development of predictive models for disease genomics, drug discovery, and personalized therapeutics.
- Publish research findings in high-impact peer-reviewed journals and present at international conferences.
- Mentor and guide a team of research scientists and bioinformaticians.
- Collaborate with internal teams and external academic/industry partners to drive research initiatives.
- Identify and pursue new research opportunities and funding avenues (e.g., grants).
- Contribute to the strategic direction of the company's research and development efforts.
- Stay abreast of the latest advancements in AI, machine learning, genomics, and computational biology.
- Ph.D. in Computational Biology, Bioinformatics, Computer Science (with AI/ML focus), Genetics, or a related quantitative field.
- 10+ years of post-doctoral research experience in genomics, bioinformatics, and AI/ML.
- Demonstrated expertise in applying machine learning and deep learning techniques to biological data.
- Strong understanding of human genetics, molecular biology, and genomics data analysis pipelines.
- Proficiency in programming languages such as Python (with libraries like TensorFlow, PyTorch, scikit-learn) and R.
- Experience with high-performance computing environments and cloud platforms.
- Proven track record of impactful publications and presentations in the field.
- Excellent leadership, communication, and interpersonal skills for effective remote collaboration.
- Experience in grant writing is a significant advantage.
- Strategic thinker with a passion for scientific discovery.
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Principal Research Scientist - AI in Genomics
Posted 20 days ago
Job Viewed
Job Description
Our client, a leading research institution at the forefront of scientific discovery, is seeking a distinguished Principal Research Scientist specializing in Artificial Intelligence applications within Genomics. This is a fully remote, highly impactful role that will drive groundbreaking research and innovation. You will lead a team of scientists and engineers in developing and applying advanced AI/ML models to complex genomic datasets, aiming to uncover new biological insights, identify disease markers, and develop novel therapeutic strategies. This position demands exceptional scientific rigor, a deep understanding of both AI and genomics, and the ability to conceptualize and execute ambitious research projects.
Responsibilities:
Responsibilities:
- Lead the design and execution of cutting-edge research projects focused on applying AI/ML to large-scale genomic and multi-omic datasets.
- Develop, implement, and validate novel AI/ML algorithms and models for tasks such as variant calling, gene expression analysis, disease association studies, and drug discovery.
- Collaborate with bioinformaticians, geneticists, clinicians, and other researchers to define research questions and translate biological problems into computational frameworks.
- Supervise and mentor junior researchers, postdoctoral fellows, and research associates, fostering a collaborative and productive research environment.
- Publish research findings in high-impact peer-reviewed journals and present work at international conferences.
- Secure research funding through grant writing and proposal development.
- Establish and maintain collaborations with academic and industry partners.
- Contribute to the strategic direction of the research group and the organization's scientific initiatives.
- Ensure the reproducibility and scalability of developed computational methods.
- Stay current with the latest advancements in AI, machine learning, genomics, bioinformatics, and computational biology.
- Manage research budgets and resources effectively.
- Ph.D. in Computer Science, Bioinformatics, Computational Biology, Genomics, Statistics, or a closely related field.
- A minimum of 8 years of post-doctoral research experience with a strong publication record in AI/ML and genomics.
- Demonstrated expertise in developing and applying machine learning techniques (e.g., deep learning, reinforcement learning, Bayesian methods) to biological data.
- Proficiency in programming languages such as Python or R and associated scientific libraries (e.g., TensorFlow, PyTorch, scikit-learn, Biopython).
- Extensive experience with genomic data types (e.g., WGS, WES, RNA-seq, ChIP-seq) and associated analysis pipelines.
- Proven ability to lead research projects, manage teams, and secure funding.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to effectively collaborate with multidisciplinary teams.
- Experience working in a remote research setting is preferred.
- Familiarity with high-performance computing (HPC) environments and cloud computing platforms.
This advertiser has chosen not to accept applicants from your region.
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Principal Research Scientist - AI in Genomics
Posted 14 days ago
Job Viewed
Job Description
Our client, a cutting-edge research institution focused on leveraging artificial intelligence for groundbreaking scientific discoveries, is looking for a distinguished Principal Research Scientist specializing in AI applications within genomics. This hybrid role offers the flexibility to work remotely for a significant portion of the time while also benefiting from collaborative in-person sessions at our **Nakuru, Nakuru, KE** facility. You will lead ambitious research projects aimed at deciphering complex genomic data, developing novel predictive models, and contributing to advancements in personalized medicine and disease understanding. This position requires a visionary leader with a profound passion for scientific inquiry and a proven track record in computational biology, machine learning, and bioinformatics.
Key Responsibilities:
Key Responsibilities:
- Spearhead research initiatives at the intersection of AI and genomics.
- Develop and implement advanced machine learning algorithms for genomic data analysis.
- Design and execute computational experiments to identify genetic markers, predict disease risk, and understand biological pathways.
- Collaborate with biologists, geneticists, and clinicians to translate research findings into actionable insights.
- Publish research in high-impact scientific journals and present at international conferences.
- Mentor and guide a team of postdoctoral researchers and data scientists.
- Stay abreast of the latest advancements in AI, machine learning, and genomics.
- Contribute to grant writing and funding proposals.
- Oversee the development of scalable computational pipelines for large-scale genomic datasets.
- Ensure the ethical and responsible use of genomic and patient data.
- Ph.D. in Computational Biology, Bioinformatics, Computer Science, Statistics, or a related field with a strong focus on genomics and AI.
- 10+ years of post-doctoral research experience in computational genomics and machine learning.
- Demonstrated expertise in developing and applying deep learning models (e.g., CNNs, RNNs, Transformers) to biological data.
- Proficiency in programming languages such as Python, R, and experience with ML frameworks (e.g., TensorFlow, PyTorch).
- Extensive experience with genomic data analysis tools and databases (e.g., GATK, PLINK, Ensembl, UCSC Genome Browser).
- Strong publication record in peer-reviewed journals.
- Proven leadership and project management skills.
- Excellent written and verbal communication skills.
- Experience working in a hybrid or remote research environment is advantageous.
This advertiser has chosen not to accept applicants from your region.
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