6,586 Research Center 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.

• 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 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.

• 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.

• 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.

The role

The Center of Excellence (CoE) is a program designed to provide recent college graduates with a comprehensive introduction to the executive search and global leadership advisory industry. The program offers development experience in three crucial areas: Relationship building and Partnership, Industry/Capability Knowledge and Communication Presence and Market Facing Potential. Through on-the-job training, you will gain practical skills while working on real-world projects. You will have the opportunity to engage with top clients and candidates, expanding your network and exposure. Peer and senior mentorship will provide guidance and support throughout your journey. The CoE encourages exploration of different industries and sectors and RRA’s training and development programs will equip you with the necessary tools and knowledge to excel in your career at RRA.

The CoE Research Analyst is an integral member of the global research team, supporting predominantly APAC senior researchers and consultants throughout the search process and beyond. The Analyst will report to the Simer Bhatia, Research Director - Market Expert, and will be in New Delhi (Gurgaon), India.

Key responsibilities include, but are not limited to:

Managing Search Pipeline & Process

• Produce comprehensive reports, which detail the relevant target companies, possible market sources and candidates for an assignment.
• Consistently identify and assist in developing best- in-class, high quality, diverse candidate slates (both obvious and non-obvious), as appropriate, by:
• Developing sound working knowledge of online and proprietary database search engines to identify relevant candidates.
• Identifying potential candidates based on job specification and resumes. Identifying appropriate internal and external sources.
• Collaborate with administrative support in the creation of client status reports.

Developing Insights

• Grow and develop industry-specific and geographic market knowledge.
• Conduct background research and generate insights to drive content for client opportunity pitches and client presentations.
• Effectively manages the research process and exhibits organization skills,
• Contribute to building the RRA database by proactively tracking and capturing individuals in target market / sector / practice.

Communication and Team Orientation

• Connect with team members from different offices to share ideas and best practices.
• Presents synthesized and organized information for communications such as status reports, target lists, etc. ensures the information is clear and understandable to internal and external audiences.
• Builds and maintains positive relationships with key stakeholders through regular and proactive communication.

Supporting Research .& Local Community

• Actively participate in the RRA research community, strengthening the internal culture.
• Identify and introduce potential employees to the firm, both opportunistically and when there is a specific hiring need.

The CoE is designed to provide a solid foundation for future career growth within RRA or the broader professional services industry.

Who are we looking for?

• Successful candidates will bring initial professional experience, or substantial track record through multiple internships or programs.

• We want bright, dynamic, and entrepreneurial applicants with a drive for excellence and insatiable curiosity for learning to join our team. Our successful research analysts are team-oriented, collegial, high sense of urgency, demonstrate integrity, and have a “can-do” attitude. These individuals will thrive on the challenge of unfamiliar tasks and will have the capacity to manage multiple projects to completion. Since collaboration is essential to success at RRA, the ideal candidate will need to demonstrate exceptional communication skills and the ability to work effectively with colleagues. A university degree from a respected institution is required. Proficiency in MS Office, Excel and PowerPoint is preferred.

Additional competencies include:

• Professional Acumen and Judgement
• Analytical Skills
• Executing for Results
• Team Orientation

To ensure a comprehensive evaluation of candidates for the APAC CoE Research Analyst position, we kindly request you to provide detailed responses to the following questions:

• Languages spoken (specify your proficiency level)
• Degree(s) (include graduation year for each)
• Why are you interested in this position? Please elaborate on your motivation

Your responses will help us assess your alignment with the requirements and opportunities associated with this role. Thank you for your interest in joining our team!

Russell Reynolds Associates is a global leadership advisory and executive search firm. We help our clients build teams of transformational leaders who can meet today’s challenges and anticipate the digital, economic and political trends that are reshaping the global business environment. From helping boards with their structure, culture and effectiveness to identifying, assessing and defining the best leadership for organizations, our teams bring their expertise to help clients address their most complex leadership issues. Listen to our clients and colleague share how we are improving the way the world is lead.

Our success over the past five decades is attributable to our collaborative culture and the outstanding quality of our people who are fiercely committed to leading with insights and building meaningful relationships. Our 500+ experienced consultants collaborate with our global team of Research, Knowledge and Project Coordinators in 47 offices across 25 countries around the world.

• As a firm, we believe deeply in our core values, and use them to guide our daily work with our clients, and within our firm, as colleagues:
• Client Focused – We are fiercely committed to our clients. We work with integrity and consistently delivery exceptional quality.
• Inclusive - We value differences and accept each individual for who they are. This is not just about social good - it is smart business.
• Forward Thinking - We look beyond the obvious to what’s next – for our clients and ourselves. We are resourceful, creative, and nimble.
• Passionate - We put our hearts into our work. We actively support and rely upon each other as one global team.
• Sustainable - We prioritize wellbeing, trust, and community in everything we do.