AI Research Scientist
Posted 5 days ago
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Agronomy Research Scientist
Posted 6 days ago
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AI Research Scientist
Posted 7 days ago
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Job Description
Responsibilities:
- Conduct cutting-edge research in areas such as deep learning, natural language processing, computer vision, reinforcement learning, and predictive analytics.
- Design, develop, and implement novel AI algorithms and machine learning models.
- Collaborate with cross-functional teams to integrate AI solutions into existing products and develop new AI-powered features.
- Analyze large datasets to extract insights, train models, and evaluate performance.
- Stay abreast of the latest advancements in AI research and technology, identifying opportunities for innovation.
- Publish research findings in top-tier academic conferences and journals.
- Develop prototypes and proof-of-concepts to demonstrate the feasibility of new AI approaches.
- Optimize AI models for performance, scalability, and efficiency.
- Contribute to the intellectual property portfolio of the company through patents and publications.
- Mentor junior researchers and engineers, fostering a culture of scientific excellence.
- Present research findings and project updates to technical and non-technical audiences.
- Ensure ethical considerations and responsible AI practices are integrated into all research and development.
- PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
- Demonstrated experience in AI research, with a strong portfolio of publications in reputable venues.
- Deep understanding of fundamental AI concepts and state-of-the-art techniques.
- Proficiency in programming languages such as Python, with extensive experience using AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with cloud platforms (AWS, Azure, GCP) for AI/ML workloads is a plus.
- Strong analytical and problem-solving skills, with the ability to tackle complex, open-ended research problems.
- Excellent communication and presentation skills, with the ability to convey complex technical ideas clearly.
- Proven ability to work independently and collaboratively in a research-oriented environment.
- Experience in specific AI domains such as NLP, computer vision, or reinforcement learning is highly desirable.
- Ability to adapt to a Hybrid work model, effectively balancing remote research with on-site collaboration.
Agronomy Research Scientist
Posted 7 days ago
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Responsibilities:
- Design, implement, and manage agronomic research trials.
- Collect, analyze, and interpret field and laboratory data.
- Develop recommendations for crop production, soil management, and nutrient application.
- Conduct research on crop physiology, genetics, and pest/disease management.
- Operate and maintain agricultural research equipment and laboratory instruments.
- Stay current with advancements in agronomy and agricultural technology.
- Prepare scientific reports, presentations, and publications.
- Collaborate with cross-functional teams and external partners.
- Ensure compliance with research protocols and safety standards.
- Contribute to the development of new agricultural products and practices.
- Master's or Ph.D. in Agronomy, Soil Science, Plant Science, or a related field.
- 3-5 years of experience in agricultural research.
- Strong knowledge of crop production, soil science, and plant physiology.
- Proficiency in statistical analysis software (e.g., SAS, R).
- Experience with field research methodologies.
- Familiarity with GIS or remote sensing is a plus.
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication skills.
- Ability to work independently and collaboratively.
- Passion for agricultural innovation and sustainability.
Oceanographic Research Scientist
Posted 7 days ago
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AI Research Scientist
Posted 7 days ago
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Responsibilities:
- Conduct original research in areas such as machine learning, deep learning, natural language processing, computer vision, or reinforcement learning.
- Design, implement, and evaluate novel AI algorithms and models.
- Stay abreast of the latest academic research and industry trends in AI and related fields.
- Publish research findings in top-tier scientific conferences and journals.
- Collaborate with a team of world-class researchers and engineers to translate research into practical applications.
- Develop and maintain robust experimental setups for research and validation.
- Contribute to the development of open-source AI tools and libraries.
- Mentor junior researchers and interns, fostering a culture of learning and innovation.
- Present research findings and project progress to technical and non-technical audiences.
- Identify opportunities for intellectual property development and patent filings.
- Analyze and interpret complex datasets to derive meaningful insights for AI model training.
- Contribute to grant proposals and secure research funding.
- Engage with the broader AI community through presentations, workshops, and networking.
- Ensure ethical considerations and responsible AI practices are integrated into research methodologies.
- Drive the development of next-generation AI solutions with significant real-world impact.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Demonstrated track record of research excellence, evidenced by publications in leading AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL) or top journals.
- Strong theoretical and practical expertise in one or more core AI/ML areas (e.g., deep learning, NLP, computer vision, reinforcement learning).
- Proficiency in programming languages commonly used in AI research, such as Python, and experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with large-scale data analysis and distributed computing environments.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, essential for a remote team environment.
- Ability to work independently, manage research projects, and drive innovation.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
- A genuine passion for scientific discovery and advancing the field of AI.
This fully remote position allows you to work from anywhere while contributing to transformative AI research.
Research Associate - Biotechnology
Posted 7 days ago
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Responsibilities:
- Conduct laboratory experiments related to biotechnology, including molecular biology techniques, cell culture, and protein analysis.
- Design and execute experiments to test hypotheses and achieve research objectives.
- Collect, analyze, and interpret experimental data using statistical software and relevant tools.
- Maintain detailed and accurate laboratory notebooks and research records.
- Assist in the preparation of research reports, manuscripts for publication, and presentations.
- Collaborate with senior scientists and researchers on project goals and experimental strategies.
- Ensure compliance with laboratory safety protocols and standard operating procedures (SOPs).
- Operate and maintain laboratory equipment, troubleshooting issues as they arise.
- Stay current with scientific literature and advancements in the field of biotechnology.
- Contribute to a positive and productive research environment.
Qualifications:
- Bachelor's or Master's degree in Biotechnology, Molecular Biology, Biochemistry, or a related life science discipline.
- Minimum of 3 years of hands-on laboratory experience in a research setting.
- Proficiency in key molecular biology techniques (e.g., PCR, Western blotting, ELISA, cloning).
- Experience with cell culture techniques, including aseptic techniques.
- Strong understanding of experimental design and data analysis.
- Proficiency in relevant scientific software (e.g., GraphPad Prism, R, Python for data analysis).
- Excellent organizational skills and attention to detail.
- Strong written and verbal communication skills.
- Ability to work effectively both independently and as part of a research team.
- Commitment to laboratory safety and ethical research practices.
This is a significant opportunity for a motivated biotechnologist to contribute to cutting-edge research and development. The hybrid arrangement supports focused lab work and flexible administrative tasks in Virginia Beach, Virginia, US .
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Research Scientist - Bioinformatics
Posted 7 days ago
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Responsibilities:
- Design and conduct computational analyses of large-scale biological datasets, including genomics, transcriptomics, and proteomics data.
- Develop and implement novel algorithms and computational methods for biological data analysis and interpretation.
- Collaborate closely with experimental biologists and clinicians to define research questions and design appropriate analytical strategies.
- Interpret complex biological data and translate findings into actionable insights for drug discovery and therapeutic development.
- Manage and maintain bioinformatics databases and pipelines, ensuring data integrity and accessibility.
- Stay current with the latest advancements in bioinformatics, computational biology, and relevant scientific fields.
- Prepare manuscripts for publication in peer-reviewed journals and present research findings at scientific conferences.
- Contribute to grant writing and the acquisition of research funding.
- Mentor junior researchers and provide technical guidance on bioinformatics tools and techniques.
- Ensure compliance with all laboratory safety and regulatory guidelines.
Qualifications:
- Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, or a closely related field.
- Proven experience in analyzing large-scale biological datasets using a variety of computational tools and programming languages (e.g., Python, R, Perl).
- Strong understanding of molecular biology, genetics, and genomics.
- Experience with next-generation sequencing (NGS) data analysis pipelines.
- Proficiency in statistical analysis and machine learning techniques.
- Excellent problem-solving and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex computational concepts to non-experts.
- Demonstrated ability to work independently and as part of a multidisciplinary research team.
- Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
- A strong publication record in reputable scientific journals.
This is an exciting opportunity to contribute to groundbreaking research and make a significant impact in the field of biotechnology. Our client offers a stimulating work environment, competitive compensation, and opportunities for professional growth and development.
AI Research Scientist
Posted 7 days ago
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Responsibilities include: conducting original research, developing and testing proof-of-concept AI systems, collaborating with cross-functional teams to integrate AI solutions into products and services, and staying abreast of the latest advancements in the AI/ML field. The ideal candidate will possess a Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with a strong publication record in top-tier conferences and journals. Demonstrated expertise in programming languages like Python or R, and experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras are essential. Strong analytical, problem-solving, and communication skills are required. This is an on-site position located at our advanced research facility in Virginia Beach, Virginia, US . This is a unique opportunity to contribute to groundbreaking AI research and development in a highly collaborative and stimulating environment.