7,858 Flexible Research 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.

Responsibilities

Core responsibility related to GLP Study Director

• Approve the study plan and any amendments to the study plan by dated signature.
• Make the study plan available to RQA for verifying that it contains all information required for compliance with the GLP Principles.
• Ensure that the RQA have a copy of the study plan and any amendments in a timely manner and communicate effectively with the RQA as required during the conduct of the study.
• Ensure that study plans, amendments (if any) and Standard Operating Procedures are available to study personnel during conduct of study.
• Ensure that the final study plan and report for a multi-site study identify and define the role of any Principal Investigator(s) and test facility including test sites involved in the conduct of the study.
• Ensure that the procedures specified in the study plan are followed, and document the impact of any deviations from the study plan on the quality and integrity of the study, and take appropriate corrective action if necessary; acknowledge deviations from SOPs during the conduct of the study.
• Ensure that all raw data generated are fully documented and recorded.
• Ensure that computerized systems used in the study have been validated.
• Sign and date the final report to indicate acceptance of responsibility for the validity of the data and to indicate the extent to which the study complies with Principles of GLP.
• Ensure that after completion (including termination) of the study; the study plan, the final report, raw data and supporting materials are archived.
• Standardisation/validation of new toxicity study - Administrative: Requesting and coordinating resources provided by Management
• Personnel, Equipment and Facilities to ensure they are adequate and available as scheduled for the proper conduct of the study. Allied responsibility:
• Co-ordination with IAEC members.
• General material procurement.
• To help in facility maintenance.
• Communication with finance team, purchase team and suppliers.
• Communication with sponsor’s, if specified in study allotment letter. Any additional responsibility / activity as and when assigned by management which would not arise any conflict of interest.
• Conducting various Pre-Clinical efficacy studies
• Record maintenance related to Pre-Clinical efficacy study
• Development of various animal models and its standardization/ validation

Qualifications

• MSc (Zoology)/ M. pharma (Pharmacology)/MVSC
• 5 - 10 years of work experience
• Proficient in Microsoft Office
• Strong work ethic and passion for the research subject
• Strong communication, analytical and critical thinking skills

About the Role:

We are seeking a Research Associate to play a key role in advancing our work at the intersection of finance and technology. The role involves conducting financial, market, and regulatory research, while also developing decision frameworks and analytical models that inform investment evaluation and strategy. This is a rare opportunity for young professionals to combine financial expertise with emerging technology tools, and to go beyond research by shaping actionable insights that drive decision-making in a fast-growing environment.

Key Responsibilities:

• Investment Research & Tracking: Monitor equity and other financial products, track performance, and identify emerging opportunities and risks.

• Analytical Frameworks: Contribute to the development of decision flows and models that support systematic investment evaluation and scenario analysis.

• Regulatory & Policy Tracking: Monitor updates from regulators (RBI, SEBI, IRDAI, etc.) and assess their implications.

• Insight Generation: Collect and synthesize data into concise briefs, reports, models, and presentations. Translate findings into structured recommendations.

• Collaboration: Work with product, strategy, and technology colleagues to ensure research inputs shape practical solutions. 

Requirements:

Education: 

• Bachelor’s degree in Economics/Finance/Management/Public Policy/Computer Science.

• Postgraduate degree (MBA/Finance/Economics) or professional qualifications (CA, CFA, FRM) are a plus.

Experience:

• 2-4 years of experience in equity markets, investment research, consulting, or financial analysis.

• Broader exposure to mutual funds, fixed income or alternative investments, or professional backgrounds such as CA/CPA is a plus.

• Familiarity with technology-enabled research and analysis (advanced Excel/Sheets, familiarity with AI-tools required; SQL/Python/R or financial databases a plus).

Skills & Competencies:

• Strong understanding of financial statements, valuation, and market structures.

• Proficiency in financial modelling and quantitative/qualitative research.

• Experience designing structured analytical approaches and decision frameworks.

• Clear, concise communication skills; ability to present insights to diverse stakeholders

Why this role?

• Go beyond research: Shape decision frameworks and models that directly influence strategic outcomes.

• Finance + Tech exposure: Build on your equity markets expertise while expanding into a wide spectrum of financial products and technology-driven analysis.

• High-growth environment: Work closely with leadership, take on early responsibility, and grow your career in an ambitious, impact-driven setting.

If you're excited about this opportunity, send your resume to