199 Agricultural Research jobs in Andhra Pradesh

• Design, conduct, and manage research projects in crop genetics and breeding.
• Utilize molecular techniques such as PCR, DNA sequencing, and genotyping to analyze genetic variation.
• Apply bioinformatics tools for data analysis, interpretation, and visualization.
• Develop and implement marker-assisted selection (MAS) strategies for crop improvement.
• Plan and execute field trials to evaluate new breeding lines and assess trait performance.
• Analyze phenotypic and genotypic data to identify desirable genes and alleles.
• Contribute to the development of improved crop varieties with enhanced yield, stress tolerance, and nutritional quality.
• Collaborate with plant breeders, agronomists, and other scientists on interdisciplinary research teams.
• Prepare research reports, scientific publications, and presentations for conferences.
• Maintain accurate records of experimental procedures and results.
• Stay current with scientific literature and advancements in genetics, genomics, and crop science.
• Ensure compliance with laboratory safety protocols and ethical research standards.

• Ph.D. in Plant Genetics, Molecular Biology, Agronomy, or a related field.
• Minimum of 5 years of post-doctoral research experience in crop genetics or breeding.
• Proven expertise in molecular biology techniques and genetic analysis.
• Proficiency in bioinformatics software and databases (e.g., BLAST, R, Python).
• Experience with field trial design and data analysis.
• Strong understanding of plant breeding principles and methodologies.
• Excellent analytical, problem-solving, and critical thinking skills.
• Demonstrated ability to conduct independent research and manage projects.
• Strong written and oral communication skills, including publication record.
• Experience with genomic selection or quantitative genetics is a plus.

Job Title: Research Scientist – Process R&D

Department: R&D – Process Development

Industry: CDMO / API

Purpose of the Role:

To lead and execute the development, optimization, and scale-up of robust, cost-effective, and regulatory-compliant chemical processes for Active Pharmaceutical Ingredients (APIs) and intermediates, ensuring smooth technology transfer from lab to kilo lab and manufacturing.

Key Responsibilities

1. Strategic Responsibilities

• Drive innovation by designing synthetic routes that align with project timelines and regulatory requirements.
• Contribute to technology differentiation strategies that enhance the CDMO’s scientific credibility and client value proposition.
• Collaborate with cross-functional teams (Analytical, QA/QC, Regulatory) to support integrated drug development solutions.

2. Operational Responsibilities

• Perform route scouting, literature search, and develop robust and scalable chemical processes using QbD principles.
• Conduct laboratory experiments for reaction optimization, impurity profiling, and process safety assessment.
• Prepare and review technical reports, SOPs, and technology transfer documents.
• Ensure compliance with GMP/GLP and EHS standards during lab-scale and pilot-scale operations.
• Participate in troubleshooting during scale-up or commercial production batches and provide technical support during client audits.

3. Financial Responsibilities

• Optimize process economics by reducing cycle time, yield improvement, and minimizing raw material costs.
• Support cost estimation activities during project proposals or client RFQs by providing technical insights.

4. People & Collaboration Responsibilities

• Guide junior team members on experimental planning, data interpretation, and documentation best practices.
• Promote a culture of safety, learning, and innovation within the team.
• Work closely with Program Management and Business Development to align project goals with customer expectations.

Qualifications & Experience

• M.Sc ( Organic Chemistry)
• 3–9 years of experience in Process R&D, preferably in CDMO organizations
• Hands-on expertise in synthesis, scale-up, impurity profiling, and technology transfer
• Familiarity with analytical techniques (HPLC, GC, NMR) and regulatory documentation

Job Title: Research Scientist – Process R&D

Department: R&D – Process Development

Industry: CDMO / API

Purpose of the Role:

To lead and execute the development, optimization, and scale-up of robust, cost-effective, and regulatory-compliant chemical processes for Active Pharmaceutical Ingredients (APIs) and intermediates, ensuring smooth technology transfer from lab to kilo lab and manufacturing.

Key Responsibilities

1. Strategic Responsibilities

• Drive innovation by designing synthetic routes that align with project timelines and regulatory requirements.
• Contribute to technology differentiation strategies that enhance the CDMO’s scientific credibility and client value proposition.
• Collaborate with cross-functional teams (Analytical, QA/QC, Regulatory) to support integrated drug development solutions.

2. Operational Responsibilities

• Perform route scouting, literature search, and develop robust and scalable chemical processes using QbD principles.
• Conduct laboratory experiments for reaction optimization, impurity profiling, and process safety assessment.
• Prepare and review technical reports, SOPs, and technology transfer documents.
• Ensure compliance with GMP/GLP and EHS standards during lab-scale and pilot-scale operations.
• Participate in troubleshooting during scale-up or commercial production batches and provide technical support during client audits.

3. Financial Responsibilities

• Optimize process economics by reducing cycle time, yield improvement, and minimizing raw material costs.
• Support cost estimation activities during project proposals or client RFQs by providing technical insights.

4. People & Collaboration Responsibilities

• Guide junior team members on experimental planning, data interpretation, and documentation best practices.
• Promote a culture of safety, learning, and innovation within the team.
• Work closely with Program Management and Business Development to align project goals with customer expectations.

Qualifications & Experience

• M.Sc ( Organic Chemistry)
• 3–9 years of experience in Process R&D, preferably in CDMO organizations
• Hands-on expertise in synthesis, scale-up, impurity profiling, and technology transfer
• Familiarity with analytical techniques (HPLC, GC, NMR) and regulatory documentation

Position: Senior Scientist Spatial Biology

Location: Hyderabad

We are seeking a highly motivated and experienced researcher with expertise in Spatial Biology to join our research team. The ideal candidate will have a strong background at the Ph.D. or Postdoctoral level in spatial biology, with proven experience in applying spatial biology techniques to study cancer immunology, tumor microenvironment (TME), and quantitative cell biology .

This position involves designing and executing experiments, analyzing data, and collaborating across multidisciplinary teams to advance our understanding of cancer biology and develop novel therapeutic strategies.

• Design, execute, and analyze experiments using spatial biology technologies (e.g., spatial transcriptomics, spatial proteomics, multiplexed imaging).
• Investigate the tumor microenvironment (TME) with emphasis on immune celltumor interactions and spatial heterogeneity.
• Apply quantitative cell biology approaches to understand cellular organization and signaling pathways in cancer biology.
• Collaborate with cross-functional teams including immunologists, molecular biologists, bioinformaticians, and clinical researchers.
• Contribute to the development of new methodologies, assays, and workflows in spatial biology.
• Present findings at internal meetings, conferences, and contribute to scientific publications.
• Maintain accurate records, ensure compliance with research protocols, and contribute to grant/manuscript writing.

• Ph.D. in Spatial Biology, Cancer Biology, Immunology, Cell Biology, or related field ; postdoctoral research experience preferred.
• Strong expertise in spatial biology platforms (e.g., 10x Genomics Visium, Nanostring GeoMx, Akoya Biosciences, MIBI, CyTOF imaging, MERFISH, or similar).
• Proven track record in studying cancer immunology and tumor microenvironment .
• Strong publication record in peer-reviewed journals in relevant fields.
• Experience in quantitative biology, image analysis, and bioinformatics integration is highly desirable.
• Excellent communication, teamwork, and problem-solving skills.

Job Title: Research Scientist – Process R&D

Department: R&D – Process Development

Industry: CDMO / API

Purpose of the Role:

To lead and execute the development, optimization, and scale-up of robust, cost-effective, and regulatory-compliant chemical processes for Active Pharmaceutical Ingredients (APIs) and intermediates, ensuring smooth technology transfer from lab to kilo lab and manufacturing.

Key Responsibilities

1. Strategic Responsibilities

• Drive innovation by designing synthetic routes that align with project timelines and regulatory requirements.
• Contribute to technology differentiation strategies that enhance the CDMO’s scientific credibility and client value proposition.
• Collaborate with cross-functional teams (Analytical, QA/QC, Regulatory) to support integrated drug development solutions.

2. Operational Responsibilities

• Perform route scouting, literature search, and develop robust and scalable chemical processes using QbD principles.
• Conduct laboratory experiments for reaction optimization, impurity profiling, and process safety assessment.
• Prepare and review technical reports, SOPs, and technology transfer documents.
• Ensure compliance with GMP/GLP and EHS standards during lab-scale and pilot-scale operations.
• Participate in troubleshooting during scale-up or commercial production batches and provide technical support during client audits.

3. Financial Responsibilities

• Optimize process economics by reducing cycle time, yield improvement, and minimizing raw material costs.
• Support cost estimation activities during project proposals or client RFQs by providing technical insights.

4. People & Collaboration Responsibilities

• Guide junior team members on experimental planning, data interpretation, and documentation best practices.
• Promote a culture of safety, learning, and innovation within the team.
• Work closely with Program Management and Business Development to align project goals with customer expectations.

Qualifications & Experience

• M.Sc ( Organic Chemistry)
• 3–9 years of experience in Process R&D, preferably in CDMO organizations
• Hands-on expertise in synthesis, scale-up, impurity profiling, and technology transfer
• Familiarity with analytical techniques (HPLC, GC, NMR) and regulatory documentation

• Conduct fundamental and applied research in artificial intelligence, machine learning, and related fields.
• Design, develop, and implement novel AI algorithms and models.
• Perform rigorous experimentation and evaluation of AI systems.
• Publish research findings in top-tier scientific conferences and journals.
• Collaborate with engineering teams to translate research prototypes into production-ready solutions.
• Stay current with the state-of-the-art in AI research and identify new research directions.
• Mentor junior researchers and interns.
• Contribute to grant proposals and patent applications.
• Present research findings to technical and non-technical audiences.
• Contribute to the development of internal AI tools and frameworks.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Proven track record of research excellence, demonstrated by publications in leading AI conferences and journals.
• Expertise in one or more areas of AI, such as deep learning, NLP, computer vision, or reinforcement learning.
• Strong programming skills in Python and familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras).
• Experience with data analysis and statistical modeling.
• Excellent analytical, critical thinking, and problem-solving abilities.
• Strong written and verbal communication skills.
• Ability to work independently, manage research projects, and drive innovation in a remote environment.
• Passion for advancing the field of artificial intelligence.