175 Microbiology jobs in Hyderabad

Job Title: Quality Control (Microbiology + Chemistry) Trainer

Location: Remote

Job Type: Part-time

Job Summary:

We are seeking an experienced QC (Microbiology and Chemistry) Trainer to design and deliver technical training programs , mentor professionals , and support their career success in the pharmaceutical and healthcare industries. This role involves hands-on guidance , GMP/GLP compliance training , documentation mentoring , and interview preparation .

Key Responsibilities:

• Deliver training on QC techniques:
• Microbiology: Environmental Monitoring (EM), Sterility Testing, Bioburden
• Chemistry: HPLC, GC, UV-Vis Spectroscopy, FTIR
• Mentor and coach on GMP, GLP, Data Integrity & Regulatory Compliance
• Guide candidates on laboratory practices, documentation & audit readiness
• Prepare real-world case studies on OOS, OOT investigations & CAPA handling
• Train on SOP creation, deviation management & lab report preparation
• Conduct mock interviews (Technical + HR) with actionable feedback
• Support career enablement: Resume building, project story development, certification guidance (ASQ, Microbiology, Analytical Chemistry)

Requirements:

• 10+ years of experience in QC (Microbiology + Chemistry) in a regulated Pharma / Healthcare environment
• Hands-on expertise with laboratory equipment & analytical techniques (HPLC, GC, UV, FTIR)
• Strong knowledge of regulatory standards: FDA, WHO, ICH, MHRA
• Experience with GMP, GLP, Data Integrity, CAPA investigations, OOS/OOT analysis
• Training/mentoring experience with excellent presentation skills
• Strong documentation skills and ability to prepare audit-ready records

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.

• 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 projects from conception to completion, including experimental design, data collection, analysis, and reporting.
• Developing and optimizing in vitro and in vivo models for drug efficacy and safety assessments.
• Performing advanced bioanalytical techniques, such as HPLC, LC-MS, and ELISA, to quantify drug levels and biomarkers.
• Collaborating closely with cross-functional teams, including medicinal chemists, pharmacologists, and toxicologists, to advance drug candidates through the pipeline.
• Writing and reviewing technical reports, research papers, and regulatory submission documents.
• Mentoring junior scientists and providing technical guidance and training.
• Ensuring compliance with all relevant regulatory guidelines (e.g., GLP) and internal safety protocols.
• Staying abreast of the latest scientific literature and technological advancements in pharmaceutical research.
• Managing laboratory operations, including inventory control and equipment maintenance.

• 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.