286 Research Project jobs in India

• 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

Princo Solutions is a leading staffing and service-based company in the IT Services and IT Consulting industry. We are dedicated to connecting top talent with the right opportunities while delivering innovative IT solutions. Based in Hyderabad, we specialize in workforce solutions, technology services, and business consulting, helping organizations scale efficiently. Our expertise includes IT staffing, software development, cloud solutions, and digital transformation. Princo Solutions prioritizes quality, integrity, and innovation to empower businesses.

Job Overview

We are seeking a Senior Project Manager for our Hyderabad location to oversee and drive project success within our dynamic IT environment. This is a Full-Time position that requires a minimum of 7 years to a maximum of 10 years of relevant work experience. The candidate will be responsible for managing the full project lifecycle, ensuring alignment with business goals and effective coordination among stakeholders.

Qualifications and Skills

• Proven experience in project lifecycle management, capable of executing projects from initiation to closure, ensuring all project objectives are met within time and budget constraints.
• Strong understanding of agile methodologies to adapt quickly to changes and maintain project flexibility, improving team efficiency and project delivery timelines.
• Expertise in stakeholder management, ensuring clear and continuous communication to align project deliverables with stakeholder expectations and strategic goals.
• Skilled in resource allocation to maximize team productivity and ensure that resources are utilized efficiently to meet project demands effectively.
• Experience in risk management, including the identification, assessment, and mitigation of project risks to minimize project disruptions and manage uncertainties.
• Proficient in IT service management to ensure the delivery of high-quality IT services that meet or exceed project requirements and client expectations.
• Ability in client relationship management, building and maintaining strong client relationships to ensure client satisfaction and project success.
• Strong team leadership skills, capable of guiding, mentoring, and motivating project teams to achieve project objectives and foster a collaborative work environment.

Roles and Responsibilities

• Lead the planning and implementation of projects, ensuring that all phases are executed effectively and deliverables are achieved on time and within scope.
• Coordinate internal and external resources to facilitate the execution of projects, ensuring they are completed effectively and efficiently.
• Develop detailed project plans, outlining the scope, goals, deliverables, and required resources to ensure successful project outcomes.
• Monitor and report on project progress, providing regular updates to stakeholders and addressing any issues or changes as necessary.
• Manage project budgets, track expenses, and control project costs to ensure projects are completed within the financial parameters.
• Ensure that all project objectives are aligned with business goals and client expectations, driving project success and business value.
• Facilitate effective communication within the project team and with external stakeholders to foster collaboration and ensure understanding of project goals.
• Identify and manage potential risks to minimize impacts and develop contingency plans to handle unforeseen events effectively.

Company Overview

TeachEdison is an innovative Education Technology Company based in Bangalore, specializing in the development of high-performance software for educators. Our flagship product, EdisonOS, is a groundbreaking operating system designed for the Knowledge Commerce. With a dedicated team of 11-50 employees, we focus on driving the transformation of how educational content is delivered and consumed. For more information, visit our website: .

Job Overview

We are seeking a Mid-Level Project Manager to join our dynamic team in Coimbatore on a full-time basis. The ideal candidate will possess 4 to 6 years of relevant work experience in project management within the software development industry. The position requires strong expertise in managing projects, coordinating with cross-functional teams, and ensuring the successful delivery of projects aligned with company objectives.

Qualifications and Skills

• Proficiency in Scrum methodologies with proven ability to lead agile teams and deliver projects effectively (Mandatory skill)
• Extensive experience with JIRA for project tracking and management, ensuring timely task completion (Mandatory skill)
• Solid understanding of SaaS Development, demonstrating the ability to manage cloud-based software projects (Mandatory skill)
• Strong project planning skills, ensuring systematic project execution and timely delivery of deliverables
• Excellent stakeholder management capabilities to understand requirements, address concerns, and align project goals
• Ability to collaborate across cross-functional teams to foster a cohesive working environment and successful project outcomes
• Experience with agile methodologies to improve team efficiency, adaptability, and responsiveness to change
• Effective communication skills to facilitate team discussions, stakeholder consultations, and project presentations

Roles and Responsibilities

• Plan, execute, and deliver software development projects, ensuring alignment with business objectives and timelines
• Lead project teams using Scrum to ensure efficient, agile practices and timely project milestones
• Employ JIRA and other project management tools to track tasks, progress, risks, and deliverables
• Work closely with cross-functional teams including developers, QA, and product managers to coordinate efforts and resolve issues
• Manage stakeholder relationships, providing regular updates and facilitating discussions to meet project expectations
• Ensure quality and performance standards are met in SaaS development, contributing to the advancement of EdisonOS
• Conduct risk assessments and manage issues proactively to minimize disruption and ensure project success
• Champion continuous improvement initiatives within the project management process to enhance overall productivity and quality