7,073 University Research jobs in India
Senior Data Scientist - Scientific Research
Posted 17 days ago
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Principal Scientific Research Lead
Posted 15 days ago
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This role requires a profound understanding of scientific methodologies, experimental design, and data analysis, coupled with a proven ability to manage multiple research projects simultaneously. You will also be responsible for ensuring compliance with all ethical guidelines, safety protocols, and regulatory requirements. The Principal Lead will play a key role in establishing and maintaining collaborations with academic and industrial partners, expanding the institution's research network. We are looking for an individual with exceptional leadership qualities, strong communication and interpersonal skills, and a passion for pushing the boundaries of scientific knowledge. The position is based at our advanced research facility in **Indore, Madhya Pradesh, IN**, with a hybrid work arrangement that encourages both focused independent work and collaborative team engagement. This is a unique opportunity to shape the future of scientific discovery.
Qualifications:
- 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.
Remote Senior Data Scientist - Scientific Research
Posted 5 days ago
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Responsibilities:
- 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.
Scientific Research Fellow - Biomedical Innovations
Posted 7 days ago
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Responsibilities:
- 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.
Senior Scientific Research & Development Engineer
Posted 8 days ago
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Responsibilities:
- 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.
Qualifications:
- 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.
Senior Bioinformatician - Scientific Research & Development
Posted 22 days ago
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Key Responsibilities:
- 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.
Remote Senior Data Scientist, Scientific Research & Development
Posted 10 days ago
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Key Responsibilities:
- 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.
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Senior Scientific Research Fellow - Advanced Materials
Posted 16 days ago
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Responsibilities:
- 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.
Associate Research Scientist
Posted 2 days ago
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32703
**Associate Research Scientist**
Regular
Vadodara, India ( My candidate profile
Syensqo is all about chemistry. We're not just referring to chemical reactions here, but also to the magic that occurs when the brightest minds get to work together. This is where our true strength lies. In you. In your future colleagues and in all your differences. And of course, in your ideas to improve lives while preserving our planet's beauty for the generations to come.
**_Job Overview and Responsibilities_**
+ Working in Corporate R&I Analytical lab, the candidate is expected to identify and practice new analytical technologies or apply existing technologies to support technical programs. These programs include applied research, sales support, plant support, competency development etc.
+ Develop, optimize, and validate wet chemistry & chromatographic methods (e.g., HPLC, GC, GPC, CIC, IC)
+ Perform routine and non-routine analyses using advanced chromatographic instrumentation and a variety of detectors (e.g., UV/Vis, PDA, RID, FID, MS, ELSD).
+ Setting up and managing analytical projects/activities in collaboration with global teams and more specifically to cater to local needs in India - business and R&I.
+ Effective internal and external communication to present the findings with supporting data
+ Interpret and report analytical data with a high degree of accuracy and scientific integrity
+ Mentor and help junior members of the team and work closely with the team in the lab for method development and different analyses
+ High focus on Safety (HSE) aspects of lab. Understanding of sustainability aspects of lab operations is advantage.
+ Basic understanding of digital systems in lab
+ Ability to deal with instrument manufacturers / vendors for repairs, procurement and up gradation
+ Basic understanding of cost aspects of analytical laboratory.
**_Education and Experience_**
1. Ph.D. in Analytical chemistry with 3 to 5 years of industrial experience.
2. Hands-on experience on Chromatography (HPLC, GC, IC, CIC, GPC) and spectroscopy (FTIR, UV-Vis, Mass Spec, Raman) techniques, wet chemistry, sample work up, identification of structure property relationships etc.
3. Hands-on experience in analytical method development with special focus on organic, surfactants and polymer chemistry.
**_Must-have skills_**
1. Deep understanding of safe work environment protocols
2. Expertise in at least one of chromatography, wet chemistry aspects of analytical chemistry.
3. Strong customer orientation and customer intimacy with high reactivity, proactivity & takes initiative
4. Highly collaborative with a good team spirit
5. Strong analytical and problem-solving skills.
6. Excellent communication and teamwork abilities.
**_Nice-to-have skills_**
+ Digital aspects of analytical laboratory
+ Advanced statistical approach for data generation and interpretation
+ Demonstrated experience in creating new competencies, interfacing with business teams in local & global level.
**_Must-have language skills_**
English
About us
+ Syensqo is a science company developing groundbreaking solutions that enhance the way we live, work, travel and play. Inspired by the scientific councils which Ernest Solvay initiated in 1911, we bring great minds together to push the limits of science and innovation for the benefit of our customers, with a diverse, global team of more than 13,000 associates. Our solutions contribute to safer, cleaner, and more sustainable products found in homes, food and consumer goods, planes, cars, batteries, smart devices and health care applications. Our innovation power enables us to deliver on the ambition of a circular economy and explore breakthrough technologies that advance humanity.
+ At Syensqo, we seek to promote unity and not uniformity. We value the diversity that individuals bring and we invite you to consider a future with us, regardless of background, age, gender, national origin, ethnicity, religion, sexual orientation, ability or identity. We encourage individuals who may require any assistance or accommodations to let us know to ensure a seamless application experience. We are here to support you throughout the application journey and want to ensure all candidates are treated equally. If you are unsure whether you meet all the criteria or qualifications listed in the job description, we still encourage you to apply.
#LI-Onsite # Middle
Research Scientist
Posted today
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At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.
Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
**How will you make an impact in this role?**
This Position is in GSG Advanced Analytics team as part of GSG MIS COE, is looking for full time candidates as Data Science Analysts. The Advanced Analytics team works across multiple Data Science/Machine Learning portfolio of projects across GSG organization across multiple areas of Servicing.
Understand the overall business perspective and help conceptualize the business problem into a Data Science/ML roadmap
Have a research bend of mind and read/engage/apply new techniques and algorithms in the field to generate efficiencies/process improvements.
Rigorous testing of algorithms as per business norms and delivering significant working leverage over status quo and generate value for the business.
Capability of writing, debugging and compiling codes in multiple Machine Learning environment and understanding of Python stack is necessary
Research focus on problem solving through NLP(Natural Language Processing) is critical.
Clear application on performance testing and validation framework of machine learning models
Understand and deploy mathematical foundations of cutting edge NLP techniques on varied sources of data
Willingness to derive insights from terabyte sized data and capability to design scalable solutions is paramount
**Minimum Qualifications**
* Proven experience of applying using Machine Learning techniques like Regression, Classification, Supervised or Unsupervised Recommenders, Deep Learning etc.
* Ability to work in cross functional teams
* Excellent data wrangling and visualization skills
* Hands on knowledge of SQL is expected
* A research mindset with a zeal to experiment new algorithms is expected
**Preferred Qualifications:**
* Master's in a quantitative field (e.g., Finance, Engineering, Mathematics, Statistics Computer Science or Economics) from a top institute.
* A set of high impact research papers on applied NLP/ Deep Learning/ GenAI
* Prior experience working with Transformers/LSTMs/CNNs preferred
* Working knowledge of finetuning Large Language Models(LLMs) is a plus
* Deep knowledge of Statistics and Maths and ability to dissect problems from the first principle. Exposure to fields like Linear Algebra, Bayesian Statistics, Group theory is desirable
* Complete grip on Python environment and libraries (pandas, numpy, nltk, statsmodels, gensim, pyspark, spacy, transformers), Deep learning expertise is preferred any of Tensorflow/Torch.
**Qualifications**
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
+ Competitive base salaries
+ Bonus incentives
+ Support for financial-well-being and retirement
+ Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
+ Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
+ Generous paid parental leave policies (depending on your location)
+ Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
+ Free and confidential counseling support through our Healthy Minds program
+ Career development and training opportunities
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.
Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.
**Job:** Data Mgmt and Analytics
**Primary Location:** India-Haryana-Gurugram
**Schedule** Full-time
**Req ID:**