85 Research jobs in Cedar Park

• Design, implement, and manage field and laboratory experiments related to crop physiology, soil fertility, and plant pathology.
• Collect, analyze, and interpret complex data using statistical methods and specialized software.
• Develop and evaluate novel agricultural inputs, crop varieties, and cultivation techniques.
• Prepare comprehensive research reports, scientific publications, and presentations for internal and external audiences.
• Collaborate with interdisciplinary teams, including agronomists, biotechnologists, and data scientists.
• Stay abreast of the latest scientific advancements and emerging technologies in agriculture.
• Contribute to grant proposals and secure funding for future research initiatives.

• Ph.D. in Agronomy, Plant Science, Soil Science, Horticulture, or a closely related field.
• Minimum of 3-5 years of post-doctoral or industry research experience in agriculture.
• Strong background in experimental design, statistical analysis, and data visualization.
• Demonstrated expertise in specific areas such as crop nutrient management, pest and disease resistance, or precision agriculture.
• Proficiency with relevant laboratory equipment and field research techniques.
• Excellent written and verbal communication skills, with a track record of scientific publications.
• Ability to work independently and as part of a collaborative team in a fast-paced research environment.

• Design and execute experiments for the synthesis, characterization, and testing of new materials.
• Conduct in-depth analysis of material properties using techniques such as spectroscopy, microscopy (SEM, TEM), diffraction (XRD), and thermal analysis (DSC, TGA).
• Interpret experimental data, draw conclusions, and present findings in clear, concise reports and presentations.
• Develop and optimize synthesis processes for various material systems (e.g., polymers, composites, ceramics, nanomaterials).
• Collaborate with interdisciplinary teams, including engineers, chemists, and product developers, to integrate new materials into applications.
• Stay current with the latest scientific literature, emerging technologies, and intellectual property landscape in materials science.
• Contribute to the strategic planning of research projects and grant proposals.
• Maintain laboratory equipment, ensure proper calibration, and adhere to strict safety protocols.
• Document all research activities meticulously, including experimental procedures, results, and observations.
• Identify and solve complex scientific and technical problems related to material performance.

• Ph.D. in Materials Science, Chemistry, Chemical Engineering, or a closely related field.
• 2+ years of post-doctoral or industrial research experience in materials synthesis and characterization.
• Proven expertise in various material characterization techniques and data analysis.
• Strong hands-on laboratory skills and experience with relevant equipment.
• Demonstrated ability to design experiments, interpret complex data, and troubleshoot scientific challenges.
• Excellent written and verbal communication skills, with a track record of publications or conference presentations.
• Ability to work independently and collaboratively in a fast-paced research environment.
• Detail-oriented with strong organizational and record-keeping abilities.
• Experience with computational materials science or modeling (e.g., DFT, MD) is a plus.
• Knowledge of intellectual property processes and patent landscape is beneficial.

• Conduct cutting-edge research in various areas of Artificial Intelligence, including but not limited to machine learning, deep learning, natural language processing, computer vision, and reinforcement learning.
• Design, develop, and implement novel AI algorithms and models to solve complex, real-world problems.
• Perform rigorous experimentation, analyze results, and iterate on models to optimize performance and efficiency.
• Publish research findings in top-tier conferences and journals, contributing to the broader AI community.
• Collaborate closely with a multidisciplinary team of engineers, data scientists, and domain experts to integrate research prototypes into production systems.
• Stay abreast of the latest advancements, techniques, and tools in the field of AI and machine learning.
• Contribute to the strategic direction of AI research within the company, identifying new opportunities and challenges.
• Mentor junior researchers and interns, fostering a culture of innovation and scientific excellence.
• Document research methodologies, findings, and code comprehensively for reproducibility and knowledge sharing.
• Present research outcomes internally and externally to technical and non-technical audiences.
• Develop and maintain high-quality, scalable codebases for research prototypes using programming languages like Python.
• Participate in the ideation and conceptualization of new AI-driven products and services.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics, or a related quantitative field.
• Minimum of 3+ years of post-doctoral or industry experience in AI/ML research.
• Strong theoretical foundation and practical experience in machine learning, deep learning, and statistical modeling.
• Proficiency in Python and extensive experience with major deep learning frameworks such as TensorFlow, PyTorch, or JAX.
• Demonstrated track record of publications in top-tier AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL) or journals.
• Expertise in at least one core AI domain (e.g., NLP, Computer Vision, Reinforcement Learning, Generative Models).
• Experience with large-scale data processing and distributed computing environments.
• Familiarity with cloud computing platforms (AWS, GCP, Azure) for ML experimentation is a plus.
• Exceptional problem-solving skills and a strong aptitude for critical thinking and analytical reasoning.
• Excellent written and verbal communication skills, with the ability to articulate complex research ideas clearly and concisely.
• Ability to work both independently and collaboratively in a fast-paced, research-driven environment.
• A passion for continuous learning and pushing the boundaries of AI technology.

• Design, plan, and execute complex in vitro and/or in vivo experiments to support drug discovery and development programs.
• Analyze, interpret, and present scientific data using appropriate statistical methods and visualization tools.
• Develop and optimize novel assays and experimental techniques.
• Maintain detailed laboratory notebooks, records, and documentation in accordance with scientific best practices and regulatory guidelines.
• Troubleshoot experimental issues and develop innovative solutions.
• Collaborate effectively with cross-functional teams, including chemists, biologists, computational scientists, and project managers.
• Stay current with scientific literature, emerging technologies, and industry trends to inform research strategies.
• Contribute to the writing of scientific publications, patent applications, and conference presentations.
• Present research findings to internal teams and external collaborators.
• Ensure compliance with all safety protocols and laboratory standards.

• Ph.D. in Biology, Biochemistry, Molecular Biology, Immunology, Pharmacology, or a related life science field.
• Minimum of 2-5 years of post-doctoral or industry experience in biotechnology or pharmaceuticals.
• Demonstrated expertise in relevant laboratory techniques (e.g., cell culture, molecular cloning, protein expression, flow cytometry, ELISA, qPCR).
• Strong record of scientific achievement, including publications in peer-reviewed journals or contributions to patents.
• Excellent experimental design, data analysis, and problem-solving skills.
• Proficiency with data analysis software (e.g., GraphPad Prism, R, Python) is highly desirable.
• Exceptional written and verbal communication skills, with the ability to convey complex scientific concepts clearly.
• Ability to work independently and as part of a highly collaborative research team.
• Proactive, innovative, and results-oriented mindset.
• Familiarity with GxP regulations (GLP, GMP) is a plus.

• Design and execute a variety of in vitro and ex vivo experiments using techniques such as cell culture, molecular cloning, PCR/qPCR, Western blot, ELISA, flow cytometry, and microscopy.
• Develop and optimize novel assays to support target validation, compound screening, and mechanism-of-action studies.
• Rigorously analyze and interpret complex experimental data, troubleshoot technical issues, and draw scientifically sound conclusions.
• Maintain detailed and accurate laboratory notebooks and documentation of all experiments and results.
• Present research findings regularly at internal team meetings and contribute to scientific publications and conference presentations.
• Collaborate effectively with colleagues from different scientific disciplines (e.g., bioinformatics, pharmacology, chemistry).
• Stay current with scientific literature and emerging technologies relevant to the field of biotechnology and therapeutic development.
• Contribute to the strategic planning and intellectual property development of research projects.
• Ensure compliance with laboratory safety regulations and maintain laboratory equipment.
• Train and mentor junior research associates or interns as needed.
• Order and manage laboratory reagents and consumables.

• Ph.D. in Molecular Biology, Cell Biology, Biochemistry, Immunology, or a related life science field. Postdoctoral experience is a plus.
• Minimum of 2-5 years of hands-on laboratory experience in an academic or industry setting, specifically in biotechnology or pharmaceutical research.
• Strong expertise in mammalian cell culture, molecular cloning techniques, and protein biochemistry.
• Proficiency in data analysis software (e.g., GraphPad Prism, FlowJo) and statistical analysis.
• Demonstrated ability to design independent experiments, troubleshoot technical challenges, and interpret complex biological data.
• Excellent written and verbal communication skills, with a strong publication record preferred.
• Highly organized, detail-oriented, and capable of managing multiple projects simultaneously.
• Ability to work both independently and collaboratively in a fast-paced, team-oriented environment.
• Familiarity with drug discovery processes and therapeutic development is highly desirable.

Our client, a pioneering scientific research and development institution located in Austin, Texas, US , is actively seeking a highly motivated Associate Research Scientist to join their interdisciplinary team. This role offers an exceptional opportunity for a talented individual to contribute to cutting-edge research projects, focusing on (specific field, e.g., materials science, biotechnology, environmental science). The successful candidate will be responsible for designing and executing experiments, analyzing complex data, and contributing to scientific publications. Our client fosters a collaborative, intellectually stimulating environment that encourages innovation, scientific rigor, and continuous learning, providing state-of-the-art facilities and mentorship for career growth.

• Design and execute experiments independently and collaboratively, ensuring scientific rigor and reproducibility.
• Perform a wide range of laboratory techniques and experimental procedures relevant to the research area (e.g., molecular biology, cell culture, analytical chemistry, computational modeling).
• Collect, organize, and analyze complex scientific data using appropriate software and statistical methods.
• Maintain detailed and accurate laboratory notebooks, experimental records, and documentation in compliance with institutional guidelines and best practices.
• Operate, calibrate, and perform routine maintenance on advanced laboratory equipment.
• Interpret experimental results, draw meaningful conclusions, and present findings clearly and concisely to colleagues and senior researchers.
• Contribute to the drafting of scientific manuscripts, conference presentations, and grant proposals.
• Stay abreast of current scientific literature, new technologies, and emerging trends in the relevant field.
• Adhere strictly to all laboratory safety protocols, ethical guidelines, and regulatory requirements.
• Collaborate effectively with cross-functional teams, including engineers, statisticians, and other scientists.
• Troubleshoot experimental challenges and develop innovative solutions.
• Assist in the supervision and training of junior researchers or interns, if applicable.

• Master's degree in a relevant scientific discipline (e.g., Biology, Chemistry, Physics, Materials Science, Biomedical Engineering) or a Bachelor's degree with 2-4 years of relevant research experience.
• Strong theoretical knowledge and practical experience in experimental design and execution.
• Proficiency in a variety of laboratory techniques and instrumentation relevant to the specific research area.
• Demonstrated ability to collect, analyze, and interpret complex scientific data using appropriate software (e.g., GraphPad Prism, MATLAB, Python, R).
• Excellent problem-solving skills and a meticulous attention to detail.
• Strong written and verbal communication skills for scientific reporting and presentations.
• Ability to work independently, manage multiple tasks, and meet deadlines in a fast-paced research environment.
• A track record of scientific publications, conference presentations, or strong project contributions is a plus.
• Commitment to scientific integrity and ethical research practices.
• Collaborative mindset and ability to work effectively in a team-oriented setting.

Our client is deeply committed to fostering a supportive, innovative, and highly rewarding work environment. They offer a competitive salary package commensurate with your expertise and qualifications, along with a comprehensive benefits program that includes excellent health, dental, and vision insurance, generous paid time off, and a robust 401(k) retirement plan with attractive company matching contributions. You will gain access to significant opportunities for continuous professional development, advanced training, and clear pathways for career advancement within a rapidly growing organization. You will be an integral part of a collaborative and innovative team that values strategic thinking, operational efficiency, and the pursuit of excellence, contributing directly to core business strategies that drive sustainable growth. Join us in Austin, Texas, US and become a cornerstone of our operational success!

If you are a passionate Associate Research Scientist eager to contribute to groundbreaking scientific discoveries, we encourage you to apply. Our client is an equal opportunity employer and is dedicated to fostering a diverse and inclusive workplace. They do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

• Design, execute, and manage controlled field trials and laboratory experiments related to crop science, soil fertility, plant pathology, and sustainable agriculture.
• Collect, process, and analyze complex scientific data using statistical software and advanced analytical techniques.
• Interpret research findings and translate them into actionable insights and recommendations for product development and agricultural practices.
• Prepare detailed research reports, presentations, and publications for internal stakeholders and scientific conferences.
• Collaborate with cross-functional teams, including product development, sales, and marketing, to ensure research aligns with business objectives.
• Stay current with scientific literature, emerging technologies, and industry trends in agriculture and environmental science.
• Maintain accurate records of experimental procedures, data, and results.
• Operate and maintain specialized laboratory and field equipment.
• Ensure compliance with all safety protocols and regulatory guidelines.
• Contribute to the development of intellectual property and patents.
• Mentor junior scientists or research assistants as needed.

• Ph.D. or Master's degree in Agronomy, Crop Science, Soil Science, Plant Biology, or a closely related agricultural science field.
• Minimum of 3-5 years of post-doctoral or industry experience in agricultural research.
• Proven expertise in experimental design, statistical analysis, and data interpretation.
• Strong publication record in peer-reviewed journals is a plus.
• Proficiency in statistical software (e.g., R, SAS, JMP) and data visualization tools.
• Hands-on experience with field trials, greenhouse experiments, and laboratory techniques relevant to agricultural research.
• Excellent written and verbal communication skills, with the ability to present complex scientific information clearly.
• Ability to work independently and collaboratively in a team-oriented research environment.
• Strong problem-solving abilities and attention to detail.
• Knowledge of sustainable agriculture practices, precision agriculture, and biotechnologies.
• Valid driver's license and willingness to travel for field site visits.

• Design, plan, and execute complex experiments in areas such as gene editing, cell-based assays, protein engineering, and drug discovery.
• Analyze, interpret, and present experimental data using statistical methods and scientific software.
• Maintain detailed and accurate laboratory records, ensuring compliance with internal protocols and regulatory standards.
• Develop and optimize novel molecular and cellular biology techniques and assays.
• Troubleshoot experimental challenges and develop innovative solutions to advance research projects.
• Collaborate effectively with interdisciplinary teams, including molecular biologists, pharmacologists, and computational biologists.
• Stay current with the latest scientific literature, technological advancements, and industry trends to inform research directions.
• Prepare high-quality scientific reports, presentations, and contribute to scientific publications and patent applications.
• Operate and maintain sophisticated laboratory equipment, ensuring proper calibration and functionality.
• Contribute to a safe and efficient laboratory environment, adhering to all safety guidelines and best practices.
• Participate in scientific discussions, team meetings, and strategic planning sessions.
• Supervise and mentor junior research associates or technicians as required.
• Identify and evaluate new technologies and methodologies that could enhance research capabilities.

• Ph.D. in Molecular Biology, Cell Biology, Biochemistry, Genetics, or a closely related field.
• 2+ years of postdoctoral or industry experience in biotechnology or pharmaceutical R&D.
• Extensive hands-on experience with a wide range of laboratory techniques, including but not limited to: cell culture, PCR, qPCR, Western blotting, ELISA, flow cytometry, CRISPR/Cas9, cloning, and protein purification.
• Strong understanding of molecular and cellular pathways relevant to disease biology.
• Proficiency in data analysis software (e.g., GraphPad Prism, R, Python) and bioinformatics tools.
• Excellent problem-solving skills and a strong ability to design rigorous experimental controls.
• Demonstrated ability to work both independently and collaboratively within a team environment.
• Exceptional written and verbal communication skills, with a track record of presenting scientific findings effectively.
• Detail-oriented with a strong commitment to data integrity and scientific rigor.
• Ability to manage multiple projects simultaneously and meet tight deadlines.
• A passion for scientific discovery and a desire to contribute to cutting-edge research.

• Conduct fundamental and applied research in areas such as machine learning, deep learning, reinforcement learning, and natural language processing.
• Design, develop, and implement novel AI algorithms and models.
• Evaluate and optimize AI model performance, scalability, and robustness.
• Collaborate with engineering teams to integrate research prototypes into production systems.
• Publish research findings in top-tier conferences and journals.
• Stay abreast of the latest advancements in AI and emerging technologies.
• Mentor junior researchers and contribute to a vibrant research culture.

• Education: PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Experience: 3+ years of experience in AI/ML research, with a strong publication record.
• Skills: Expert proficiency in programming languages like Python and deep learning frameworks (e.g., TensorFlow, PyTorch).
• Deep understanding of machine learning algorithms, statistical modeling, and data science principles.
• Experience with large datasets and cloud computing platforms (e.g., AWS, GCP, Azure).
• Excellent problem-solving, analytical, and critical thinking skills.

• Experience with specific AI domains such as computer vision, robotics, or generative AI.
• Contributions to open-source AI projects.
• Industrial research experience.