319 Research jobs in Fairfax

• Design, conduct, and manage agricultural research experiments in both field and controlled environments.
• Collect, analyze, and interpret complex data using appropriate statistical methods.
• Develop and test innovative agricultural practices and technologies.
• Prepare high-quality research reports, scientific publications, and presentations.
• Collaborate with other scientists, extension specialists, and stakeholders.
• Stay current with the latest advancements in agricultural science and sustainable farming.
• Contribute to grant writing and funding proposals.
• Provide technical guidance and support to farming communities and partner organizations.
• Ensure all research activities comply with safety and ethical guidelines.
• Maintain detailed records of research protocols and results.

• Ph.D. in Agronomy, Plant Science, Soil Science, Agricultural Engineering, or a closely related field.
• Minimum of 2-4 years of post-doctoral or relevant research experience.
• Proven experience in designing and executing agricultural field and laboratory experiments.
• Strong proficiency in statistical analysis software (e.g., R, SAS, SPSS).
• Demonstrated record of publishing in peer-reviewed scientific journals.
• Excellent written and verbal communication skills, including presentation abilities.
• Ability to work independently and manage multiple research projects simultaneously.
• Strong problem-solving skills and a meticulous approach to research.
• Knowledge of sustainable agricultural practices and climate change impacts on agriculture.
• Willingness to travel for field work, conferences, and stakeholder meetings.

• Design, plan, and execute complex laboratory experiments in molecular biology, cell biology, and biochemistry to support drug discovery and development programs.
• Analyze and interpret experimental data, meticulously documenting findings and presenting results in team meetings and scientific forums.
• Develop and optimize novel assays and experimental methodologies to address specific research questions and improve throughput.
• Collaborate cross-functionally with other research teams, including pharmacology, chemistry, and bioinformatics, to ensure integrated project progression.
• Maintain detailed laboratory notebooks and electronic records, ensuring data integrity and adherence to quality control standards.
• Troubleshoot experimental challenges and propose innovative solutions to overcome technical hurdles.
• Stay abreast of current scientific literature, emerging technologies, and industry trends to inform research strategies and methodologies.
• Prepare scientific reports, presentations, and contribute to the drafting of patents and publications.

• Ph.D. in Molecular Biology, Cell Biology, Biochemistry, Biotechnology, or a related scientific discipline.
• Minimum of 2-5 years of post-doctoral or industry experience in biotechnology or pharmaceutical research.
• Extensive hands-on experience with a wide range of laboratory techniques, including but not limited to cell culture, CRISPR/Cas9, Western blotting, qPCR, ELISA, flow cytometry, and microscopy.
• Proficiency in data analysis software (e.g., GraphPad Prism, R, Python) and bioinformatics tools.
• Demonstrated ability to design independent experiments, critically evaluate data, and troubleshoot technical issues.
• Strong publication record in peer-reviewed journals is a plus.
• Excellent written and verbal communication skills, with the ability to present complex scientific information clearly and concisely.
• Highly organized, detail-oriented, and capable of managing multiple projects simultaneously in a fast-paced environment.

• Lead and manage independent research projects from conception to completion, including experimental design, data collection, analysis, and interpretation.
• Supervise, train, and mentor a team of junior scientists, postdoctoral fellows, and research assistants, fostering their professional development.
• Prepare and submit grant proposals to secure external funding for research initiatives.
• Publish research findings in high-impact peer-reviewed scientific journals and present at national and international conferences.
• Collaborate with internal and external partners, including academic institutions, industry collaborators, and government agencies.
• Ensure compliance with all ethical guidelines, safety protocols, and regulatory requirements in research activities.
• Manage laboratory resources, including equipment, supplies, and budget, to optimize research productivity.
• Stay abreast of the latest scientific literature, emerging technologies, and research methodologies relevant to the field.
• Contribute to the intellectual property development of the institution.
• Participate in departmental meetings, seminars, and scientific discussions, contributing to the overall intellectual vibrancy of the research environment.
• Develop and validate new experimental techniques and assays.

• Ph.D. in a relevant scientific discipline (e.g., Biology, Chemistry, Physics, Neuroscience, Materials Science, Computer Science).
• Minimum of 7-10 years of postdoctoral or industry research experience, with a strong publication record in reputable journals.
• Demonstrated experience in leading research projects and managing a research team.
• Proven ability to secure competitive research grants (e.g., NIH, NSF, DoD).
• Expertise in advanced research methodologies and instrumentation relevant to their field.
• Exceptional analytical, problem-solving, and critical thinking skills.
• Excellent written and verbal communication skills, with experience presenting complex scientific data.
• Ability to work independently and collaboratively in a fast-paced, multidisciplinary research setting.
• Strong organizational skills and attention to detail.

• Experience in interdisciplinary research.
• Patents or technology transfer experience.
• A track record of successful mentorship.

• Conduct independent and collaborative research in AI, machine learning, and deep learning, focusing on developing innovative solutions to challenging problems.
• Design, implement, and evaluate new AI algorithms and models, leveraging state-of-the-art techniques.
• Develop and refine experimental methodologies for validating AI model performance and robustness.
• Publish research findings in top-tier AI conferences and journals.
• Collaborate with a diverse team of researchers, engineers, and domain experts.
• Stay abreast of the latest advancements in AI, machine learning, and related fields.
• Translate complex research concepts into clear presentations and technical reports.
• Contribute to the strategic direction of AI research initiatives within the company.
• Participate in grant proposals and external collaborations.
• Mentor junior researchers and interns as needed.
• Work on transitioning successful research prototypes into scalable production systems.
• Contribute to the company's intellectual property portfolio through patent applications.

• Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, Electrical Engineering, or a closely related quantitative field.
• Minimum of 2-5 years of post-doctoral or industry research experience in AI/ML.
• Strong publication record in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL) or journals.
• Expertise in at least one major AI subfield (e.g., NLP, Computer Vision, Reinforcement Learning, Generative Models).
• Proficiency in programming languages such as Python and experience with ML frameworks (e.g., TensorFlow, PyTorch, JAX).
• Solid understanding of mathematical foundations of machine learning (linear algebra, calculus, probability, statistics).
• Experience with large datasets and distributed computing environments.
• Excellent problem-solving, analytical, and critical thinking skills.
• Exceptional written and verbal communication abilities, capable of presenting complex ideas clearly.

• Experience with specific AI applications (e.g., autonomous systems, medical imaging, financial modeling).
• Familiarity with cloud platforms (AWS, Azure, GCP) for ML model deployment.
• Open-source contributions or personal research projects.

• Design, plan, and execute complex laboratory experiments using a variety of molecular biology, cell biology, and biochemical techniques.
• Conduct independent research, troubleshoot experimental challenges, and optimize protocols to achieve project objectives.
• Analyze and interpret experimental data, draw conclusions, and present findings in a clear and concise manner through reports and presentations.
• Maintain meticulous laboratory records, notebooks, and databases in accordance with regulatory and quality standards.
• Operate and maintain specialized laboratory equipment, ensuring proper calibration and functionality.
• Collaborate effectively with cross-functional teams, including chemists, engineers, and clinical researchers, to advance projects.
• Stay current with scientific literature, industry trends, and emerging technologies in the field of biotechnology.
• Contribute to the drafting of scientific manuscripts, patent applications, and grant proposals.
• Ensure strict adherence to laboratory safety protocols and good laboratory practices (GLP).
• Participate in scientific discussions, team meetings, and contribute to strategic planning.
• Develop and validate new assays and methodologies as needed for research projects.
• Supervise or mentor junior research associates or technicians, as appropriate.

• Ph.D. in Molecular Biology, Cell Biology, Biochemistry, Biotechnology, or a related life science discipline.
• 2+ years of postdoctoral or industry experience in biotechnology research.
• Extensive hands-on experience with a range of laboratory techniques, such as PCR, qPCR, Western blotting, ELISA, cell culture, flow cytometry, protein purification, and gene editing (CRISPR).
• Strong analytical and problem-solving skills, with proficiency in data analysis software (e.g., GraphPad Prism, R, Python).
• Excellent written and verbal communication skills, with a strong publication record.
• Ability to work independently and collaboratively in a fast-paced, interdisciplinary research environment.
• Strong organizational skills and attention to detail.
• Experience with drug discovery or therapeutic development is a significant plus.

Our client, a leading research institution dedicated to advancing sustainable agricultural practices, is seeking a highly skilled and passionate Agricultural Research Scientist to join their innovative team in Washington, D.C., US . This is an exceptional opportunity to conduct cutting-edge research focused on improving crop yields, enhancing soil health, and developing resilient agricultural systems to address global food security challenges. We are looking for an individual with a strong scientific background, practical experience in agricultural research, and a commitment to making a tangible impact on the future of farming.

As an Agricultural Research Scientist , you will be instrumental in designing, executing, and analyzing complex experiments related to crop science, soil fertility, plant pathology, or sustainable agriculture. You will be responsible for collecting and interpreting data, publishing research findings in peer-reviewed journals, and presenting at scientific conferences. This role requires proficiency in experimental design, statistical analysis, and a deep understanding of agricultural systems. You will work within state-of-the-art laboratory and field facilities, collaborating with a multidisciplinary team of scientists, technicians, and extension specialists. Our client fosters an intellectually stimulating and collaborative environment, encouraging innovative thinking and the pursuit of groundbreaking discoveries. Your research will contribute directly to developing practical solutions for farmers and policymakers, addressing critical challenges faced by the agricultural sector today. This position offers a unique blend of theoretical inquiry and practical application, providing a significant platform for professional and scientific growth.

• Design and conduct controlled experiments in laboratory, greenhouse, and field settings related to agricultural sciences.
• Collect, manage, and analyze large datasets using appropriate statistical software and methodologies.
• Interpret research findings and translate complex scientific information into clear and concise reports and publications.
• Author and co-author peer-reviewed scientific articles, technical reports, and extension materials.
• Present research findings at national and international scientific conferences and stakeholder meetings.
• Collaborate with interdisciplinary teams to develop integrated solutions for agricultural challenges.
• Oversee the work of research assistants and technicians, ensuring adherence to experimental protocols.
• Secure research funding through grant writing and proposal development.
• Stay abreast of current scientific literature, emerging technologies, and policy developments in agriculture.

• Ph.D. in Agronomy, Crop Science, Soil Science, Plant Biology, or a closely related field.
• 2-5 years of post-doctoral or professional research experience in agriculture or forestry.
• Demonstrated expertise in experimental design, statistical analysis, and data interpretation.
• Proven track record of publishing research in reputable scientific journals.
• Strong knowledge of agricultural systems, plant physiology, soil science, or relevant specialization.
• Proficiency in statistical software (e.g., R, SAS, SPSS) and data management tools.
• Excellent written and verbal communication skills for scientific reporting and presentations.
• Ability to work independently and as part of a collaborative research team.

• Experience with specific laboratory techniques (e.g., molecular biology, chromatography).
• Familiarity with GIS and remote sensing applications in agriculture.
• Experience in grant writing and securing research funding.
• Prior experience in extension or outreach activities.

Our client offers a competitive annual salary commensurate with qualifications and experience, along with a comprehensive benefits package that includes health, dental, and vision insurance, a generous 401(k) retirement plan with employer contributions, and ample paid time off. We are deeply committed to supporting our scientists' professional growth, providing funding for conference attendance, access to cutting-edge research facilities, and opportunities for collaboration with leading experts. Employees also benefit from a stimulating academic environment, opportunities for mentorship, and the chance to contribute to impactful research that addresses global challenges. Our location in Washington, D.C., offers unique networking opportunities.

Our client is a renowned research institution at the forefront of agricultural innovation, dedicated to fostering sustainable and productive agricultural systems globally. They are recognized for their rigorous scientific approach, interdisciplinary collaboration, and commitment to translating research into practical solutions for farmers and society. With a legacy of impactful discoveries and a forward-looking vision, they play a crucial role in addressing complex challenges related to food security, environmental sustainability, and rural development. Joining our client means becoming part of a prestigious team that shapes the future of agriculture through groundbreaking science.

Interested candidates are encouraged to submit their resume, a detailed cover letter outlining their research interests and experience, and a list of relevant publications. Please apply directly through our careers portal. Our research committee will review all applications and contact suitable candidates for an initial interview, followed by a research seminar presentation. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

• Design, plan, and execute scientific experiments related to crop science, soil health, plant genetics, pest management, or sustainable agriculture.
• Collect, analyze, and interpret complex data from field trials, laboratory experiments, and environmental monitoring.
• Develop and validate new research methodologies, analytical techniques, and technological solutions for agricultural challenges.
• Prepare and publish research findings in peer-reviewed journals, technical reports, and presentations at scientific conferences.
• Collaborate with interdisciplinary teams, including agronomists, geneticists, environmental scientists, and policy experts.
• Manage research projects, including budgeting, resource allocation, and timeline management.
• Seek and secure external funding through grant applications and partnerships.
• Provide technical expertise and recommendations to stakeholders, including farmers, industry partners, and policymakers.
• Operate and maintain specialized laboratory and field equipment.
• Ensure compliance with research protocols, safety regulations, and ethical guidelines.
• Mentor junior researchers, technicians, or graduate students.
• Stay abreast of the latest scientific advancements and emerging issues in agriculture and food systems.

• Ph.D. in Agronomy, Plant Science, Soil Science, Agricultural Engineering, or a closely related field.
• Minimum of 2-5 years of post-doctoral or equivalent research experience in an academic, government, or industry setting.
• Strong record of scientific publications and presentations.
• Expertise in experimental design, statistical analysis, and data interpretation.
• Proficiency with relevant software (e.g., R, SAS, ArcGIS) and laboratory techniques.
• Knowledge of sustainable agricultural practices, precision agriculture, or climate-smart agriculture is highly desirable.
• Excellent written and verbal communication skills, with the ability to convey complex scientific information to diverse audiences.
• Strong problem-solving and critical thinking abilities.
• Ability to work independently and collaboratively in a team environment.
• Experience with grant writing and project management is a plus.
• Willingness to conduct fieldwork as required.

• Conduct cutting-edge research in various areas of artificial intelligence and machine learning, including but not limited to deep learning, reinforcement learning, natural language processing, and computer vision.
• Design, implement, and evaluate novel AI/ML algorithms and models to solve complex real-world problems.
• Publish research findings in top-tier conferences and journals, and contribute to the open-source community.
• Collaborate with a multidisciplinary team of scientists, engineers, and domain experts to translate research into practical applications.
• Stay abreast of the latest advancements in AI/ML literature and technology, identifying new research directions and opportunities.
• Develop prototypes and proof-of-concept demonstrations of new AI capabilities.
• Contribute to the strategic vision for AI research within the organization.
• Mentor junior researchers and interns, fostering a collaborative and intellectually stimulating environment.
• Prepare detailed technical reports and presentations for internal and external stakeholders.
• Participate in grant writing and external collaborations when opportunities arise.
• Ensure ethical considerations and responsible AI practices are integrated into all research activities.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
• Minimum of 2-5 years of post-doctoral or industry research experience in AI/ML.
• Strong publication record in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ACL) and journals.
• Expertise in at least one major area of AI/ML (e.g., NLP, CV, RL, Generative Models).
• Proficiency in programming languages such as Python and experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Strong mathematical and statistical foundations.
• Excellent problem-solving, analytical, and critical thinking skills.
• Exceptional written and verbal communication skills, with the ability to articulate complex research findings.
• Ability to work independently and collaboratively in a fast-paced research environment.
• Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.

• Design and execute complex scientific experiments in the field of biotechnology, using a variety of molecular biology, cell biology, biochemical, and immunological techniques.
• Independently analyze, interpret, and present experimental data, drawing robust conclusions and proposing next steps.
• Develop and optimize novel assays, experimental protocols, and research methodologies.
• Maintain detailed and accurate laboratory notebooks, records, and documentation according to GLP/GCP standards.
• Troubleshoot technical issues with experiments, equipment, and data analysis.
• Collaborate effectively with interdisciplinary teams, including other scientists, research associates, and computational biologists.
• Present research findings at internal meetings, scientific conferences, and contribute to peer-reviewed publications.
• Stay current with scientific literature, emerging technologies, and industry trends relevant to the field.
• Operate and maintain specialized laboratory equipment and instruments.
• Ensure compliance with all safety regulations and ethical guidelines in the laboratory.
• Contribute to grant applications, project proposals, and intellectual property development.
• Participate in scientific discussions and contribute to the overall research strategy of the company.

• Ph.D. in Molecular Biology, Cell Biology, Biochemistry, Immunology, or a closely related discipline.
• Minimum of 2-5 years of post-doctoral or industry experience in biotechnology research.
• Extensive hands-on experience with a wide range of laboratory techniques, such as PCR, qPCR, Western blotting, ELISA, flow cytometry, cell culture, cloning, and gene expression analysis.
• Strong analytical and problem-solving skills, with the ability to design experiments and interpret complex data sets.
• Proficiency in data analysis software (e.g., GraphPad Prism, R, Python) and presentation tools.
• Excellent written and verbal communication skills, with a track record of scientific presentations and publications.
• Strong organizational skills and meticulous attention to detail.
• Ability to work independently and collaboratively in a fast-paced research environment.

• Experience with CRISPR-Cas9, gene editing technologies, or high-throughput screening.
• Background in drug discovery and development.
• Experience with bioinformatics tools for genomic or proteomic data analysis.
• Familiarity with regulatory requirements for preclinical research.