92 Paid Research jobs in India

• Ph.D. in a relevant scientific discipline (e.g., Molecular Biology, Genetics, Biochemistry).
• A minimum of 12-15 years of post-doctoral research experience, with a significant portion in a leadership or Principal Investigator role.
• Demonstrated success in obtaining research grants and managing research budgets.
• Exceptional publication record in high-impact journals.
• Proven experience in mentoring and leading research teams.
• Expertise in strategic research planning and execution.
• Excellent communication, presentation, and interpersonal skills.
• Strong understanding of scientific ethics and regulatory compliance.

• Conduct experimental research in assigned areas of biomedical innovation, including laboratory work and data collection.
• Design and execute experiments using advanced molecular and cellular biology techniques.
• Analyze and interpret experimental data, employing statistical methods and bioinformatics tools.
• Contribute to the development of new research methodologies and protocols.
• Prepare research reports, presentations, and contribute to manuscript preparation for peer-reviewed publications.
• Collaborate effectively with senior researchers, post-doctoral fellows, and other members of the research team.
• Maintain accurate laboratory notebooks and records of experimental procedures and results.
• Stay up-to-date with the latest scientific literature and advancements in relevant fields.
• Assist in the maintenance of laboratory equipment and supplies.
• Present research findings at internal seminars and potentially external scientific meetings.

• Ph.D. or a Master's degree in Molecular Biology, Genetics, Biomedical Science, Biotechnology, or a related field.
• Postdoctoral experience or 3-5 years of research experience in a relevant laboratory setting.
• Proven experience with techniques such as PCR, qPCR, Western blotting, ELISA, cell culture, and gene sequencing.
• Familiarity with bioinformatics tools and data analysis software is a strong advantage.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills, with the ability to clearly articulate scientific concepts.
• Ability to work independently and collaboratively in a research team environment.
• Commitment to adhering to scientific rigor and ethical research practices.
• Experience in areas like CRISPR technology, single-cell analysis, or advanced imaging is a plus.

• Lead and manage R&D projects from concept to completion.
• Design, develop, and implement novel scientific and engineering solutions.
• Conduct feasibility studies and technical assessments.
• Oversee the creation and testing of prototypes and proof-of-concept systems.
• Analyze experimental data and interpret results to inform decision-making.
• Collaborate with cross-functional teams, including scientists and engineers.
• Identify and evaluate new technologies and methodologies.
• Contribute to the development of intellectual property (patents).
• Mentor junior engineers and technical staff.
• Prepare detailed technical reports, documentation, and presentations.

• Ph.D. or Master's degree in Engineering (e.g., Mechanical, Electrical, Chemical, Materials Science) or a related scientific field.
• Minimum of 7-10 years of progressive experience in scientific research and development.
• Demonstrated experience in leading R&D projects and teams.
• Expertise in relevant scientific principles and engineering disciplines.
• Strong analytical, problem-solving, and critical thinking skills.
• Proficiency in simulation, modeling, and data analysis software.
• Excellent written and verbal communication skills.
• Ability to communicate complex technical concepts effectively.
• Proven ability to innovate and develop practical solutions.
• Experience with intellectual property development is a plus.

• Design, implement, and maintain bioinformatics pipelines for high-throughput sequencing data analysis.
• Perform complex statistical analyses and develop novel computational approaches to address biological questions.
• Interpret and present research findings to internal teams and external collaborators.
• Develop and curate biological databases and ontologies.
• Collaborate with experimental biologists, clinicians, and other researchers to define project goals and analytical strategies.
• Contribute to the writing of research grants, manuscripts, and technical reports.
• Provide guidance and mentorship to junior bioinformaticians and research staff.
• Stay abreast of the latest advancements in bioinformatics, genomics, and related fields.
• Manage data integrity, security, and accessibility for research projects.
• Develop and optimize software tools and scripts for data analysis and visualization.

• Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
• Minimum of 5 years of relevant experience in bioinformatics or computational biology research.
• Strong programming skills in languages such as Python, R, Perl, or C/C++.
• Proficiency in using bioinformatics software and databases (e.g., BLAST, Ensembl, NCBI databases).
• Experience with statistical analysis and machine learning techniques applied to biological data.
• Hands-on experience with various next-generation sequencing (NGS) data types and analysis platforms.
• Familiarity with cloud computing platforms (e.g., AWS, Google Cloud) is a plus.
• Excellent written and verbal communication skills, with a strong publication record.
• Ability to work independently and as part of a collaborative research team.
• Demonstrated ability to manage multiple projects and meet deadlines in a fast-paced research environment.

• Design and implement sophisticated statistical models and machine learning algorithms to analyze large, complex scientific datasets.
• Develop data pipelines and processes for data acquisition, cleaning, transformation, and feature engineering.
• Collaborate with research scientists and domain experts to understand research questions and translate them into data-driven solutions.
• Visualize data and model results to communicate findings effectively to both technical and non-technical audiences.
• Identify opportunities for novel research through data exploration and hypothesis testing.
• Develop and deploy predictive models for scientific applications.
• Stay current with the latest advancements in data science, machine learning, and relevant scientific fields.
• Contribute to research publications and present findings at scientific conferences.
• Mentor junior data scientists and contribute to the team's technical growth.
• Ensure the reproducibility and integrity of data analysis and model development.

• Ph.D. or Master's degree in a quantitative field such as Data Science, Statistics, Computer Science, Physics, Bioinformatics, or a related discipline.
• Minimum of 5 years of experience in data science, with a strong emphasis on scientific research or R&D environments.
• Proficiency in programming languages like Python or R, and associated data science libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
• Extensive experience with statistical modeling, machine learning techniques, and experimental design.
• Strong understanding of data manipulation, database querying (SQL), and big data technologies.
• Excellent analytical, problem-solving, and critical thinking skills.
• Proven ability to work independently and collaborate effectively in a remote team environment.
• Strong communication and presentation skills, with the ability to explain complex findings clearly.
• Experience with scientific visualization tools and techniques.
• Published research or contributions to open-source scientific projects are highly valued.

• Conduct independent and collaborative research in the field of advanced materials, focusing on synthesis, characterization, and application.
• Design and execute experiments to develop novel materials with specific desired properties (e.g., electrical, optical, mechanical, thermal).
• Utilize advanced characterization techniques such as spectroscopy (e.g., NMR, FTIR, UV-Vis), microscopy (e.g., SEM, TEM), X-ray diffraction (XRD), and thermal analysis.
• Analyze and interpret complex experimental data to draw meaningful conclusions and guide future research directions.
• Prepare high-quality scientific manuscripts for publication in peer-reviewed journals and present research findings at national and international conferences.
• Contribute to the writing of grant proposals to secure funding for research projects.
• Mentor junior researchers, post-doctoral fellows, and graduate students.
• Collaborate with interdisciplinary teams to explore potential applications of developed materials.
• Ensure compliance with laboratory safety protocols and ethical research practices.
• Manage research equipment and laboratory resources efficiently.
• Stay abreast of the latest scientific literature and technological advancements in materials science.

• Ph.D. in Materials Science, Chemistry, Physics, or a closely related scientific discipline.
• Minimum of 5-7 years of post-doctoral research experience in advanced materials development and characterization.
• Strong publication record in reputable scientific journals and demonstrated ability to present research at conferences.
• Expertise in synthesis techniques for a variety of materials (e.g., polymers, nanoparticles, composites, ceramics).
• Proficiency in operating and interpreting data from advanced characterization instruments.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills.
• Ability to work independently and as part of a collaborative research team.
• Experience in leading research projects and mentoring junior scientists is highly desirable.
• Knowledge of computational materials science or modeling is a plus.

• Develop and implement advanced statistical models and machine learning algorithms.
• Analyze large and complex scientific datasets to identify patterns, trends, and insights.
• Design and execute experiments to validate hypotheses and test model performance.
• Collaborate with research scientists and domain experts to define analytical requirements.
• Build and maintain data pipelines for data ingestion, cleaning, and transformation.
• Create clear and compelling data visualizations and reports.
• Communicate complex findings to both technical and non-technical stakeholders.
• Stay current with the latest advancements in data science, machine learning, and scientific research.
• Contribute to the development of research strategies and intellectual property.
• Ensure data integrity and ethical use of data.

• Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related quantitative field.
• Minimum of 5-7 years of experience as a Data Scientist, with a focus on scientific research or R&D.
• Proficiency in programming languages such as Python or R.
• Strong experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Expertise in statistical modeling, hypothesis testing, and experimental design.
• Familiarity with big data technologies (e.g., Spark, Hadoop) and SQL.
• Excellent analytical, problem-solving, and critical thinking skills.
• Proven ability to work independently and effectively in a remote team environment.
• Strong communication and presentation skills.
• Experience in (Specific Scientific Domain - e.g., Genomics, Materials Science, Biotechnology) is a plus.

Company Overview:

TeachEdison is an innovative Education Technology Company dedicated to developing high-performance software solutions for educators. We are the creative force behind EdisonOS, a cutting-edge Operating System designed specifically for the burgeoning field of Knowledge Commerce. With a close-knit team of 11-50 employees, TeachEdison operates out of Bangalore and specializes in Software Development, working to enhance educational tools and experiences worldwide.

Job Overview:

We are seeking a passionate and analytical individual to join our team as a Junior Market Research Analyst. This full-time position is based in Coimbatore and requires between 1 to 3 years of relevant work experience. The ideal candidate will have a strong background in data analysis and research methodologies, bringing valuable insights to advance TeachEdison's strategic objectives.

Qualifications and Skills:

• Proficiency in data analysis to interpret complex datasets and provide actionable insights (Mandatory skill).
• Strong understanding of quantitative research methodologies required for effective market analysis (Mandatory skill).
• Capability to conduct comprehensive literature reviews to support research findings and hypotheses (Mandatory skill).
• Experience in designing surveys to capture essential customer and market data efficiently.
• Competency in conducting interviews to gather qualitative data directly from participants.
• Proven track record in market research with an ability to analyze industry trends and consumer behavior.
• Strong communication skills to present research findings to diverse stakeholders effectively.
• Detail-oriented mindset to ensure accuracy and reliability in all research activities.

Roles and Responsibilities:

• Conduct detailed market research to identify industry trends, competitors, and potential opportunities.
• Utilize data analysis tools to interpret market data and provide strategic recommendations.
• Design and execute surveys to gather critical market insights and assess customer needs.
• Engage with stakeholders through interviews to obtain qualitative insights and feedback.
• Collaborate with cross-functional teams to ensure alignment of research outcomes with business objectives.
• Present findings and reports to senior management, providing strategic insights and action plans.
• Maintain awareness of industry developments to ensure TeachEdison's offerings remain competitive.
• Contribute to the continuous improvement of research methodologies and processes within the organization.