246 Research Scientist jobs in Hyderabad

Job Summary:

We are looking for a highly skilled and experienced Clinical Research Scientist with a strong background in Bioequivalence and Bioavailability (BE/BA) studies and clinical operations. The ideal candidate will have over 10 years of experience in the pharmaceutical industry, with a minimum of 7 years in BE/BA studies, and a deep understanding of regulatory requirements for highly regulated markets including USFDA, EMA (EU), and Health Canada.

This role also involves overseeing clinical trials as a Sponsors Representative, managing end-to-end clinical processes, ensuring regulatory compliance, and coordinating with various stakeholders for successful study execution and documentation.

Key Responsibilities:

BE/BA & Regulatory Focus:

• Design and oversee Bioequivalence and Bioavailability studies across various dosage forms.
• Ensure strict compliance with regulatory standards (USFDA, Health Canada, WHO).
• Develop and review study protocols, SOPs, ICFs, and Clinical Study Reports (CSRs).
• Coordinate with CROs, bioanalytical labs, and internal teams for timely project execution.
• Interact with regulatory agencies and provide scientific responses to queries/deficiencies.
• Monitor regulatory trends and update internal SOPs and processes accordingly.

Clinical Study Operations:

• Serve as Sponsors representative in assigned clinical studies, ensuring ethical and procedural compliance.
• Oversee dosing of study subjects, subject safety follow-ups, and ensure adherence to ICH-GCP.
• Review and compile raw clinical data, ensure proper monitoring and quality control (QC).
• Prepare clinical updates, confinement reports, clinical summary reports, and ensure accuracy of clinical documentation.
• Review and finalize study documents, then hand over to QA for further processing.
• Support in EC submissions of protocols and related documentation.
• Manage study initiation, execution, archival, and retrieval of clinical records.
• Address and close QA/Sponsor queries and observations.

Required Skills & Competencies:

• Deep understanding of ICH-GCP and regulatory guidelines (USFDA, CDSCO, Health Canada, WHO).
• Strong background in pharmacokinetics, clinical study design, and regulatory documentation.
• Ability to perform both strategic planning and hands-on clinical trial execution.
• Proficiency in clinical data handling, document management, and compliance tracking.

Preferred Candidate Profile:

• Strong interpersonal skills and leadership qualities.
• Exposure to complex generics and/or challenging dosage forms is an advantage.

Educational Qualifications:

• B.Pharm, M.Pharm, and Ph.D. in Pharmaceutical Sciences, Clinical Research, or a related field

Company Description

Prasi Labs Private Limited is a service-oriented and product manufacturing partner for the pharmaceutical and allied industries. Founded in 2020 and recognized as a growing start-up, Prasi Labs collaborates with multiple partners in India and worldwide. Leveraging strong industry experience, we employ a holistic approach to sales and marketing, extending our reach across numerous pharmaceutical companies globally.

Role Description

This is a full-time on-site role for a Senior Research Scientist located in Hyderabad. The Senior Research Scientist will be responsible for designing and conducting experiments, analyzing and interpreting data, and developing new methodologies. They will also be expected to collaborate with cross-functional teams, prepare detailed reports, and ensure compliance with regulatory standards.

Qualifications

• Strong expertise in experimental design, data analysis, and interpretation
• Experience in developing new methodologies and scientific techniques
• Excellent communication and collaboration skills
• Proficiency in preparing detailed scientific reports and documentation
• Knowledge of regulatory standards and compliance processes
• Ability to work independently and as part of a team
• Ph.D. in Chemistry, Biology, or a related field preferred
• Experience in the pharmaceutical industry is a plus

Bioserve Biotechnologies (A Reprocell Company) is looking for a Nutrition Research Scientist (project based)

Job Type:
Temporary: 3 months Project-Based Contract -On site.
WFH not available

Project:
We are seeking a meticulous Nutrition Research Scientist for a short-term project to build the scientific core of our personalized wellness service. You will be responsible for creating a comprehensive knowledge base that links health data to clinically proven diet, supplement, and lifestyle interventions.

Eligibility & Required Skills:

• Essential:
  Master's degree (MSc) in Nutrition Science, Dietetics, Clinical Nutrition, or a closely related life sciences field.
• Experience:
  You must have demonstrable experience conducting scientific literature searches or active involvement in diet recommendations.
  Essential:
  Deep understanding of human biochemistry, metabolic pathways, and the scientific principles of both clinical and supplemental nutrition. Proficient in using spreadsheets (Microsoft Excel / Google Sheets) for data organization, management, structuring,
  p
  roficient in literature search, evaluation, and integration.

Company Description

Syngenta Seeds is one of the world's largest developers and producers of seed for farmers, commercial growers, retailers and small seed companies. Syngenta seeds improve the quality and yields of crops. High-quality seeds ensure better and more productive crops, which is why farmers invest in them. Advanced seeds help mitigate risks such as disease and drought and allow farmers to grow food using less land, less water and fewer inputs.

Syngenta Seeds brings farmers more vigorous, stronger, resistant plants, including innovative hybrid varieties and biotech crops that can thrive even in challenging growing conditions.

Syngenta Seeds is headquartered in the United States.

Job Description

Role purpose

This role focuses on complex business processes and operations within Seed Research & Development. This role will identify inefficiencies and harmonize workflows across global sites in Trialing and nursery. This role will define and implement global KPI s for cost, cycle time, throughput and quality, enabling benchmarking across geographies. This role supports short-term efficiency gains and long-term innovation scalability. The role drives operational efficiency and effectiveness by developing, implementing, and maintaining algorithmic solutions based on Operations Research / Mathematical Optimization techniques.

Accountabilities

• Build and implement optimization models, multi-objective and robust optimization techniques.
• Design and create user-friendly GUIs (Graphical user interface), reports, and data visualizations to facilitate the execution of data-driven optimization models and scenario comparisons by the end-user.
• Identify relevant business KPIs and metrics that drive optimization objectives.
• Run simulations to validate optimization models.
• Manage projects focused on the development and implementation of optimization solutions to support strategic decisions and day-to-day operations.
• Collaborate with various departments and communicate effectively with line-of-business end-users to review current operational systems and business procedures within seeds development, discover pain points, and identify mathematical optimization use-cases.
• Prepare management reports that clearly define and analyze issues and recommend solutions to help management make informed decisions.
• Discuss and analyze the impact of Operations Research solutions with different stakeholders such as managers and subject matter experts across the various departments.
• Follow an agile way of working.
• Contribute to the development of technical training offerings and curricula to support effective implementation and awareness of Operations Research capabilities.
• Defines the operation research, operation standards and will ensure that all procedures are followed.
• Accountable for the results of the operations research projects from respective countries across Tropics
• Needs to work very closely with the Trialing, nursery, Germplasm development and the DH teams across Tropics RD organisation.

Qualifications

• 5+ years demonstrable applied experience in implementation of Operations or lab functions
• A proven track record on working in a science-based environment

Critical technical, professional, and personal capabilities

• Ability to work in teams and across geographies
• Problem-solving skills – identify complex business problems, evaluate the application of Operations Research techniques, and implement decision-support solutions
• Experience with programming languages such as C/C++/C#, Python
• Some experience in data visualization with Tableau, Power BI, or similar
• Strong written and oral English communication skills
• Analytical Mind-set

• Design and execute experiments involving next-generation sequencing (NGS) technologies.
• Develop, optimize, and implement bioinformatics pipelines for genomic data analysis.
• Analyze and interpret large-scale genomic datasets (e.g., WGS, WES, RNA-Seq).
• Contribute to the development of novel genomic assays and methodologies.
• Integrate genomic data with other omics data types (proteomics, metabolomics).
• Collaborate with computational biologists, geneticists, and clinicians.
• Maintain meticulous experimental records and laboratory notebooks.
• Prepare scientific reports, manuscripts for publication, and grant proposals.
• Present research findings at internal meetings and external scientific conferences.
• Stay current with advancements in genomics, bioinformatics, and related fields.

• Ph.D. in Genomics, Genetics, Bioinformatics, Computer Science, or a related field.
• Minimum of 3-5 years of post-doctoral or industry research experience in genomics.
• Hands-on experience with various NGS platforms (e.g., Illumina, PacBio, Oxford Nanopore).
• Strong proficiency in bioinformatics tools, programming languages (e.g., Python, R), and genomic databases.
• Experience with statistical analysis and machine learning methods for biological data.
• Excellent understanding of molecular biology and genetics principles.
• Strong analytical, critical thinking, and problem-solving skills.
• Effective written and verbal communication abilities.
• Ability to work independently and collaboratively in a research environment.
• Experience with data visualization tools is a plus.

• Conducting fundamental and applied research in areas such as machine learning, deep learning, natural language processing, computer vision, or reinforcement learning.
• Designing, implementing, and evaluating novel AI algorithms and models.
• Analyzing large datasets to extract meaningful insights and train AI systems.
• Developing prototypes and proof-of-concepts for new AI technologies.
• Publishing research findings in top-tier academic conferences and journals.
• Collaborating with engineering teams to integrate research outcomes into production systems.
• Staying abreast of the latest advancements and trends in the AI/ML landscape.
• Mentoring junior researchers and contributing to a culture of scientific excellence.
• Presenting research to internal and external stakeholders.
• Securing and managing research grants and projects.

• Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field.
• Demonstrated track record of research excellence, evidenced by publications, patents, or significant contributions to AI projects.
• Deep understanding of machine learning principles, algorithms, and mathematical foundations.
• Proficiency in programming languages such as Python, and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with large-scale data processing and distributed computing frameworks.
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent communication and presentation skills, with the ability to articulate complex technical concepts.
• Proven ability to work independently and collaboratively in a remote research environment.

• Design, implement, and manage field and laboratory research experiments related to crop production.
• Collect, analyze, and interpret agronomic data using statistical software.
• Evaluate the performance of new crop varieties, fertilizers, pesticides, and farming technologies.
• Develop and document research protocols and standard operating procedures.
• Prepare research reports, scientific publications, and presentations.
• Stay abreast of the latest advancements in agronomy, plant breeding, and sustainable agriculture.
• Collaborate with plant breeders, biotechnologists, and other scientists.
• Provide technical guidance and support to field operations teams.
• Ensure compliance with safety and environmental regulations in research activities.
• Contribute to grant writing and funding proposals for research projects.

• Ph.D. or Master's degree in Agronomy, Plant Science, Agricultural Science, or a closely related field.
• Proven experience in conducting agricultural research, preferably with a focus on crop physiology, soil science, or plant breeding.
• Strong knowledge of experimental design and statistical analysis (e.g., using R, SAS, or similar).
• Experience with data management and scientific reporting.
• Excellent written and verbal communication skills.
• Ability to work independently and as part of a diverse team.
• Proficiency in relevant agricultural software and tools.
• Willingness to travel for field research and conferences as required.
• Candidates should be based in or near Hyderabad, Telangana, IN , and available for hybrid work arrangements.

• Conduct cutting-edge research in Artificial Intelligence and Machine Learning.
• Develop and implement novel AI algorithms and deep learning models.
• Design and execute experiments to validate research hypotheses.
• Analyze and interpret complex data sets.
• Publish research findings in leading academic venues.
• Collaborate with cross-functional teams to integrate AI solutions.
• Stay abreast of the latest advancements in AI and ML research.
• Mentor junior researchers and contribute to the team's knowledge base.

• Ph.D. or Master's degree in Computer Science, AI, ML, or related field.
• Strong publication record in top-tier AI/ML conferences or journals.
• Expertise in Python and ML/DL frameworks (TensorFlow, PyTorch).
• Solid understanding of ML/DL theory and algorithms.
• Experience with data processing and large-scale systems.
• Excellent analytical and problem-solving abilities.