Research Scientist
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Development of different formulations either as generic or differentiated generics. To demonstrate successful stability and scale up at manufacturing site.
Core Job Responsibilities
- Development of formulation using scientific rationale in use of excipients to create a reproducible prototype formulation.
- Ensure Proper documentation of every trial in the log note books and then using the information for creation of the Product Development Report for use in dossier for filing.
- Use of QbD wherever required for Product and process optimization.
- Ensure proper upkeep, maintenance and calibration of the equipment.
- Ensure scale up of the developed formulation works at engineering batch level.
Key Deliverables:
- Literature/Patent search to create drug profile
- Prototype development with rationale use of excipients
- Preformulation study as may be required for formulation development
- Conduct 6 months accelerated stability studies to ensure stable formulation
- Proof of concept studies to demonstrate BE or comparative PK as the case may be
- Scale up studies at 1/10th scale or engineering batch
- Technology
Pharmaceutical Research Scientist
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Key Responsibilities:
- Design, execute, and analyze experiments for drug discovery and development projects.
- Conduct research in areas such as medicinal chemistry, pharmacology, or biotechnology.
- Characterize drug candidates and evaluate their biological activity and safety.
- Maintain detailed and accurate laboratory notebooks and records.
- Collaborate with cross-functional teams, including chemists, biologists, and toxicologists.
- Interpret experimental results and contribute to scientific discussions and reports.
- Stay abreast of scientific literature, new technologies, and research trends.
- Operate and maintain laboratory equipment.
- Contribute to the preparation of research proposals and scientific publications.
- Ensure adherence to laboratory safety protocols and quality standards.
- Ph.D. or Master's degree in Pharmacy, Medicinal Chemistry, Pharmacology, or a related field.
- Minimum of 3-5 years of post-graduate research experience in the pharmaceutical industry.
- Proven experience with laboratory techniques relevant to drug discovery (e.g., in vitro assays, screening, PK/PD studies).
- Strong understanding of scientific principles and methodologies in pharmaceutical research.
- Excellent analytical, problem-solving, and critical thinking skills.
- Effective written and verbal communication abilities.
- Ability to work independently and collaboratively in a team environment.
- Experience with relevant scientific software and data analysis tools.
AI Research Scientist
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The AI Research Scientist will be at the forefront of developing novel AI algorithms and models, contributing to cutting-edge research projects that have the potential to reshape industries. Your work will involve exploring new paradigms in machine learning, deep learning, natural language processing, computer vision, or reinforcement learning, depending on your specialization. You will collaborate with a world-class team of researchers and engineers, translating theoretical concepts into practical applications.
Key responsibilities include designing, implementing, and evaluating AI models; conducting rigorous scientific research; publishing findings in top-tier conferences and journals; and contributing to the intellectual property portfolio of the company. You will be expected to stay abreast of the latest advancements in the field, experiment with new tools and frameworks, and mentor junior researchers. Strong analytical and critical thinking skills are essential for interpreting complex data and drawing meaningful conclusions.
A Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field is required. Demonstrated experience in developing and deploying AI models in real-world scenarios is crucial. Proficiency in programming languages such as Python and familiarity with AI frameworks like TensorFlow, PyTorch, or Keras are mandatory. Candidates should have a strong publication record in reputable AI venues. Excellent problem-solving abilities and the capacity to work independently in a remote setting are vital. You should be comfortable working with large datasets and have a solid understanding of statistical methods and data analysis.
We are looking for creative, curious, and driven individuals who are eager to make a significant impact in the field of artificial intelligence. If you possess a deep passion for AI research and development and thrive in a collaborative, innovative, and remote environment, we encourage you to apply.
Responsibilities:
- Conduct cutting-edge AI research and development.
- Design, implement, and evaluate novel AI algorithms and models.
- Collaborate with a global team of AI experts.
- Publish research findings in leading academic venues.
- Contribute to the company's AI technology roadmap.
- Stay current with AI advancements and industry trends.
- Mentor junior researchers and contribute to knowledge sharing.
- Ph.D. or Master's in Computer Science, AI, or related field.
- Strong publication record in AI conferences/journals.
- Expertise in machine learning, deep learning, or NLP.
- Proficiency in Python and AI frameworks (TensorFlow, PyTorch).
- Experience with large-scale data analysis.
- Excellent problem-solving and analytical skills.
- Ability to work independently in a remote environment.
Agricultural Research Scientist
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Key Responsibilities:
- Design and conduct field and laboratory experiments related to crop improvement.
- Collect, analyze, and interpret complex agricultural data.
- Develop and implement sustainable farming techniques.
- Research and evaluate new crop varieties and agricultural technologies.
- Manage greenhouse operations and plant nurseries.
- Collaborate with agronomists, plant pathologists, and entomologists.
- Prepare research reports, scientific publications, and presentations.
- Ensure compliance with all safety and environmental regulations.
- Maintain accurate records of experiments and results.
- Contribute to the development of new agricultural strategies.
- Master's or Ph.D. in Agronomy, Plant Science, Soil Science, or a related agricultural field.
- Proven experience in agricultural research, including field trials and data analysis.
- Strong understanding of plant physiology, genetics, and crop management.
- Proficiency in statistical software (e.g., R, SAS) and data analysis tools.
- Excellent written and verbal communication skills.
- Ability to work independently and as part of a research team.
- Strong problem-solving and critical thinking abilities.
- Experience with laboratory techniques and equipment.
- Passion for sustainable agriculture and innovation.
AI Research Scientist
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Our client is seeking a brilliant and innovative AI Research Scientist to join their advanced R&D division. This role is ideal for an individual passionate about pushing the boundaries of artificial intelligence and contributing to the development of next-generation AI solutions. You will be at the forefront of research, exploring new algorithms, models, and techniques in areas such as machine learning, deep learning, natural language processing, and computer vision. The successful candidate will have a strong theoretical foundation and practical experience in applying AI to solve complex real-world problems.
Key responsibilities include:
- Conducting cutting-edge research in artificial intelligence and machine learning.
- Developing and implementing novel AI algorithms and models.
- Designing and executing experiments to evaluate AI performance.
- Collaborating with engineering teams to integrate AI models into products and services.
- Publishing research findings in top-tier conferences and journals.
- Staying abreast of the latest advancements in AI and related fields.
- Mentoring junior researchers and engineers.
- Exploring and identifying new research opportunities.
- Developing prototypes and proof-of-concepts for new AI applications.
- Analyzing large datasets to extract insights and inform model development.
- Contributing to the strategic direction of the company's AI initiatives.
The ideal candidate will hold a Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, with a strong publication record. Expertise in programming languages such as Python and experience with deep learning frameworks (e.g., TensorFlow, PyTorch) are essential. Strong analytical and problem-solving skills, creativity, and the ability to work effectively in a collaborative research environment are critical for success in this role. Join our client and be part of a team that is shaping the future of technology.
Pharmaceutical Research Scientist
Posted 1 day ago
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AI Research Scientist
Posted 1 day ago
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Job Description
Key Responsibilities:
- Conduct cutting-edge research in artificial intelligence and machine learning.
- Design, develop, and implement novel AI algorithms and models.
- Train and evaluate machine learning models using large datasets.
- Explore and apply advanced techniques in areas like deep learning, NLP, computer vision, etc.
- Collaborate with cross-functional teams to integrate AI solutions into products and services.
- Stay current with the latest research and advancements in the AI field.
- Publish research findings in reputable journals and conferences.
- Develop prototypes and proof-of-concepts for new AI applications.
- Contribute to the team's knowledge base and mentor junior researchers.
- Identify opportunities for leveraging AI to solve complex problems.
Qualifications:
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related field.
- Proven track record of research in AI/ML, demonstrated through publications or patents.
- Expertise in machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and relevant programming languages (e.g., Python).
- Strong understanding of mathematical concepts underlying AI/ML, such as linear algebra, calculus, and probability.
- Experience with data analysis, feature engineering, and model evaluation.
- Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) is a plus.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and presentation skills, with the ability to explain complex technical concepts.
- Ability to work independently and collaboratively in a research environment.
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Biotechnology Research Scientist
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AI Research Scientist
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Responsibilities:
- Conduct research in areas of AI, Machine Learning, Deep Learning, NLP, Computer Vision.
- Design, develop, and implement novel AI algorithms and models.
- Build and train machine learning models using large datasets.
- Evaluate and optimize model performance using appropriate metrics.
- Collaborate with engineering teams to deploy AI solutions into production.
- Stay current with the latest advancements in AI research and technologies.
- Publish research findings in top-tier conferences and journals.
- Develop prototypes and proof-of-concepts for new AI applications.
- Contribute to the intellectual property portfolio through patents and publications.
- Mentor junior researchers and interns.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven track record of research in AI/ML, evidenced by publications and projects.
- Strong programming skills in Python, and experience with AI frameworks (TensorFlow, PyTorch, scikit-learn).
- Deep understanding of various machine learning algorithms and deep learning architectures.
- Experience with data manipulation, feature engineering, and model evaluation.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills.
- Ability to work effectively in a collaborative research environment.
- Experience with cloud platforms (AWS, GCP, Azure) is a plus.
Research Scientist - Biotechnology
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Key Responsibilities:
- Designing, conducting, and optimizing experiments in biotechnology.
- Analyzing and interpreting complex biological data using statistical methods and software.
- Developing and validating new experimental protocols and methodologies.
- Maintaining detailed laboratory notebooks and documentation of research findings.
- Collaborating with cross-functional teams, including other scientists and engineers.
- Troubleshooting experimental challenges and proposing innovative solutions.
- Presenting research findings at internal meetings and scientific conferences.
- Contributing to the writing of research papers, grant proposals, and reports.
- Staying abreast of the latest scientific literature and advancements in biotechnology.
- Managing laboratory resources and ensuring compliance with safety regulations.
- Developing and characterizing biological products or processes.
- Assisting in the scale-up and optimization of biotechnological processes.
- Identifying potential intellectual property and contributing to patent filings.
- Mentoring junior researchers and providing technical guidance.
- Ensuring the quality and integrity of research data.