186 Research Scientist jobs in Hyderabad

• Conduct advanced research in Artificial Intelligence and Machine Learning.
• Develop and implement novel AI algorithms and models.
• Design and conduct experiments to evaluate AI model performance.
• Collaborate with research teams to achieve project milestones.
• Stay abreast of the latest advancements and trends in AI/ML.
• Contribute to scientific publications and presentations.
• Develop and maintain robust AI/ML codebases.
• Translate research findings into practical applications and prototypes.
• Mentor junior researchers and contribute to team knowledge sharing.
• Identify new research opportunities and potential areas of innovation.

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Minimum of 5 years of relevant research experience.
• Strong theoretical understanding of machine learning, deep learning, and related fields.
• Proficiency in Python and major AI/ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Experience with data preprocessing, feature engineering, and model evaluation.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong publication record in top-tier AI/ML conferences and journals.
• Excellent communication and collaboration skills.
• Ability to work effectively in a hybrid work environment.
• Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.

• Design, implement, and manage agricultural research projects, both in field and laboratory settings.
• Conduct experiments related to crop physiology, genetics, soil science, and pest/disease management.
• Collect, process, and analyze complex datasets using statistical software and modeling techniques.
• Interpret research findings and develop evidence-based recommendations for agricultural practices.
• Write research proposals and actively seek grant funding opportunities.
• Publish research results in peer-reviewed scientific journals and present findings at conferences.
• Collaborate with a multidisciplinary team of scientists, technicians, and extension specialists.
• Develop and maintain relationships with agricultural stakeholders, including farmers and industry partners.
• Stay abreast of the latest scientific literature and technological advancements in agriculture.
• Contribute to the training and mentorship of junior researchers and students.

• Ph.D. in Agronomy, Plant Science, Soil Science, Agricultural Botany, or a closely related field.
• Demonstrated experience in designing and conducting agricultural research, with a strong publication record.
• Proficiency in statistical analysis software (e.g., R, SAS, SPSS) and experimental design principles.
• Knowledge of modern agricultural techniques and technologies.
• Excellent written and verbal communication skills.
• Ability to work independently and as part of a collaborative research team.
• Strong analytical and critical thinking skills.
• Experience with grant writing and proposal development is a plus.

• Conduct research and develop novel algorithms and models in areas such as machine learning, deep learning, natural language processing, or computer vision.
• Design and implement experiments to validate hypotheses and evaluate the performance of AI models.
• Analyze large datasets to extract insights and identify patterns relevant to AI development.
• Collaborate with engineering teams to deploy and integrate AI models into production systems.
• Stay current with the latest advancements in AI research and development through literature review and conference participation.
• Publish research findings in top-tier academic conferences and journals.
• Develop prototypes and proof-of-concepts for new AI applications.
• Contribute to the intellectual property portfolio through patent applications.
• Mentor junior researchers and interns.
• Present research findings to technical and non-technical audiences.
• Work closely with product teams to understand business needs and translate them into research objectives.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Proven experience in AI research, with a strong publication record in reputable venues.
• Deep understanding of machine learning algorithms, deep learning architectures (CNNs, RNNs, Transformers), and statistical modeling.
• Proficiency in programming languages such as Python and experience with AI frameworks like TensorFlow, PyTorch, or Keras.
• Experience with data manipulation and analysis tools.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills.
• Ability to work effectively both independently and as part of a collaborative team.
• Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.
• Familiarity with distributed computing frameworks (e.g., Spark) is beneficial.

• Design, conduct, and optimize experiments in biotechnology and molecular biology.
• Analyze and interpret experimental data using appropriate statistical methods.
• Maintain detailed and accurate laboratory notebooks and records.
• Perform various assays, including cell culture, PCR, Western blotting, and ELISA.
• Contribute to the development of new research methodologies and protocols.
• Collaborate with team members on research projects and problem-solving.
• Prepare scientific reports, presentations, and manuscripts for publication.
• Ensure compliance with laboratory safety regulations and ethical guidelines.
• Stay updated on the latest scientific literature and technological advancements in biotechnology.
• Contribute to the overall scientific direction and strategy of the research group.

• Ph.D. in Biotechnology, Molecular Biology, Biochemistry, or a closely related field.
• Postdoctoral experience is a plus.
• Proven experience in experimental design and execution in a research setting.
• Proficiency in common molecular and cell biology techniques.
• Strong analytical and critical thinking skills.
• Excellent written and verbal communication skills.
• Ability to work effectively both independently and as part of a collaborative team.
• Experience with data analysis software and bioinformatics tools is advantageous.

Job Description

Job Description:

Medicinal chemistry; Research and development; Literature search; Scifinder / Reaxys; Design and synthesis; combiflash/Biotage; C-C coupling etc 

Qualifications

MSC - Organic Chemistry.

Additional Information

• Leading research in areas such as deep learning, natural language processing, computer vision, reinforcement learning, or generative AI.
• Designing and developing novel AI algorithms and models that address complex real-world problems.
• Conducting rigorous experimentation and validation of research hypotheses.
• Collaborating with product and engineering teams to translate research findings into scalable AI solutions.
• Staying abreast of the latest advancements in AI and machine learning literature and technologies.
• Publishing research in leading AI conferences and journals.
• Mentoring and guiding junior researchers and engineers.
• Defining the long-term research roadmap and strategy for AI initiatives.
• Securing internal and external funding for research projects where applicable.
• Contributing to the intellectual property portfolio through patents and publications.

• Ph.D. or equivalent research experience in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field.
• 10+ years of hands-on experience in AI/ML research and development.
• Proven track record of impactful research contributions, evidenced by publications, patents, or successful product integrations.
• Expertise in one or more specialized AI domains (e.g., NLP, Computer Vision, Reinforcement Learning).
• Strong programming skills in Python and familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Experience with large-scale data processing and distributed computing.
• Excellent analytical, critical thinking, and problem-solving abilities.
• Exceptional communication and presentation skills, capable of articulating complex technical concepts to diverse audiences.
• Demonstrated leadership qualities and ability to mentor research teams.

• Lead and conduct advanced research in areas relevant to drug discovery and development, such as medicinal chemistry, pharmacology, or biochemistry.
• Design, optimize, and execute experimental protocols to evaluate the efficacy, safety, and pharmacokinetic properties of potential drug candidates.
• Analyze and interpret complex experimental data, drawing scientifically sound conclusions.
• Contribute to the strategic direction of research programs and identify new areas for scientific exploration.
• Prepare detailed research reports, publications, and patent applications.
• Present research findings at internal meetings and external scientific conferences.
• Mentor and guide junior research scientists, fostering their technical and professional development.
• Collaborate effectively with cross-functional teams, including discovery, preclinical, and clinical development.
• Ensure compliance with all laboratory safety regulations and ethical guidelines.
• Stay current with the latest scientific literature, technological advancements, and industry trends.

• Ph.D. in Pharmaceutical Sciences, Chemistry, Biology, or a closely related field.
• Minimum of 5-7 years of post-doctoral research experience in the pharmaceutical industry or relevant academic setting.
• Demonstrated expertise in drug discovery methodologies and a strong publication record.
• Proven ability to design, execute, and interpret complex experiments.
• Excellent understanding of drug metabolism, pharmacokinetics (DMPK), and toxicology principles.
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent written and oral communication skills, with the ability to present complex scientific information clearly.
• Experience in leading research projects and mentoring junior staff is highly desirable.
• Proficiency in relevant scientific software and techniques.
• Ability to work effectively in a highly collaborative laboratory environment.

• Design and execute experiments to investigate biological pathways and disease mechanisms.
• Synthesize and characterize small molecules for drug discovery programs.
• Develop and optimize assay methods for screening and lead optimization.
• Analyze experimental data using statistical software and interpret results to guide research direction.
• Conduct literature reviews to stay abreast of the latest scientific advancements in relevant fields.
• Prepare detailed scientific reports, presentations, and manuscripts for publication and internal dissemination.
• Collaborate virtually with cross-functional teams, including chemists, biologists, and pharmacologists.
• Contribute to the intellectual property strategy through invention disclosures and patent filings.
• Ensure compliance with all regulatory requirements and ethical guidelines in research.
• Maintain accurate and organized laboratory notebooks (digital or physical).
• Troubleshoot experimental procedures and propose solutions to challenges.

• Ph.D. or Master's degree in Pharmacology, Medicinal Chemistry, Biochemistry, or a related field.
• Minimum of 3-5 years of post-doctoral or industry research experience in drug discovery.
• Demonstrated expertise in assay development, screening technologies, and data analysis.
• Proficiency in relevant scientific software and databases.
• Excellent written and verbal communication skills, with a proven ability to present complex scientific information clearly.
• Strong understanding of drug development processes and regulatory affairs.
• Ability to work independently and manage multiple projects simultaneously in a remote setting.
• Experience with grant writing is a plus.
• Published research in peer-reviewed journals.
• Access to a reliable internet connection and a suitable home office environment.