878 Research Positions jobs in Bengaluru

Role: Research Associate

Years of Experience: 2-4 years ( Working in consumer insights, consumer research or in an analyst/ strategy role at an entertainment/ media/ technology company)

Job Location: Bangalore (Indiranagar)

Work Type: Hybrid

Shift Timing : 5:30 PM to 2:30 AM

Notice Period : Looking for candidate who can join us in 30-60 days

Responsibilities:

• Support all phases of quantitative and qualitative research projects, including research design, questionnaire and discussion guide development, data analysis and storytelling.

• Projects may include methods such as concept evaluation, brand studies, content optimization tests, messaging/positioning evaluation, creative materials tests, market sizing and segmentation.

• Help drive quality control processes at each step of the research lifecycle, from checking survey programming logic, questionnaire proofing, number checking and proofing reports and presentations for accuracy.

• Partner with internal and external operations teams (programming, fieldwork, facilities, moderators, data processing) to drive projects forward on stringent timelines.

• Assist with translating data into clear, actionable insights and recommendations through visual, creative and story-driven reports.

For a quantitative project, the steps you’d assist on or oversee could include, but are not limited to:

• Assist with proposal writing and research design

• Draft, review and format survey questionnaires

• Test and approve final survey links for accuracy

• Monitor soft launches, ensuring data accuracy in Decipher

• Create data table specs and monitor fieldwork progress

• Analyze data, develop client reports, and craft insights-driven stories

Collaborate with global cross-functional teams (US based project teams, fieldwork, data processing, marketing sciences, etc) to ensure project success

For a qualitative project, the steps you’d assist on or oversee could include, but are not limited to:

• Assist with proposal writing, research design and guide/stimulus drafts

• Monitor participant recruitment, re-screens, and scheduling

• Observe research sessions and analyze transcripts for key insights

• Create narrative-driven reports and recommendations for clients

Collaborate with global cross-functional teams (US based project teams, fieldwork, moderators, etc) to ensure project success

To perform this role successfully, candidates must be proficient in the following software, categorized by type, as they will be integral to daily operations:

• Office Productivity Tools: Microsoft Office 365 / SharePoint, Apple Workspace Suite, Google Drive / GSuite;

• Communication Tools: Microsoft Teams, Zoom;

• Project Management Tools: Asana, Monday.com;

• Market Research Tools: Decipher (Forsta Surveys), Remesh;

• AI Tools: ChatGPT, Tactiq.

Education :

Ideally looking – You have a B.A./B.S. degree in areas such as Social Sciences, Psychology, Business, Marketing, Market Research, Statistics, Economics or a related field. Additional degrees are welcome!

EQUAL OPPORTUNITIES

Assembly is an advocate for equal opportunity in the workplace. We are committed to ensuring equal opportunities regardless of race, colour, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability and gender identity. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know.

SOCIAL & ENVIRONMENTAL RESPONSIBILITY

At Assembly, we have a responsibility to bring impact into our every day. This means we must always look for ways in which to be conscious citizens in our roles to support society and environmental sustainability. We encourage employees to; be a conscious citizen by actively participating in our organisation's sustainability efforts, help us promote environmentally friendly practices within the workplace, collaborate with community organisations and stakeholders to support initiatives aligned with our company's values, participate in volunteer activities that benefit the community. Employees are also encouraged to make suggestions and evaluate our business practices to identify areas for improvement in social and environmental performance. Employees at Assembly demonstrate commitment to sustainability and inclusivity in their actions and behaviours.

We are looking for a Research Director(Account Director) to be a part of our esteemed Organization- Hansa Research Group Pvt Ltd. in our Quantitative Research team- Bangalore .

Hansa Research is the largest Indian consumer insights company undertaking engagements with clients across 100+ countries. We are the first Indian insights and consulting company to acquire a US-based firm, GCR (formerly called Gartner Custom Research).

With research offices across India, Singapore, Bangladesh, Dubai and the USA, Hansa Research’s infrastructure is comparable to the best in the industry. Engaging with clients across multiple sectors, with an array of packaged and customized offerings, Hansa Research focuses on innovation and value addition, to help clients make insightful decisions. Hansa Research has done some path-breaking work, which have become industry standards in India e.g., Indian Readership Survey, Household Potential Index and Indian Outdoor Survey.

We are part of the RK Swamy Group. The R K SWAMY | HANSA companies represent one of India's leading multidiscipline, multi-location, marketing communications and services groups, serving the needs of a wide array of companies, in India and the USA.

We are close to five decades old, offering a full spectrum of services in the Marketing services space. The group employs over 1,500 people and serves 250+ clients across a wide spectrum of categories. It is India's leading multidiscipline, marketing communications and services group with companies operating into diverse domains such as: Advertising & Communications, Insights & Consulting, Marketing & Activation, PR & Education, Data Analytics, Integrated marketing CRM.

Primary Responsibilities:

• Be a part of the team that creates an effective Quantitative research strategy
• Should be responsible for Client Management: Client Retention & Growth (includes new business development efforts)
• Cultivate strong &effective working relationships with internal stakeholders & clients
• Ensures the achievement of annual revenue goals through a comprehensive strategy.
• Should be responsible for Team Management & Development
• To lead own, manage and drive delivery of projects
• Collaboration with the Global/regional Research & Support teams

Essential Skills/Competencies

• Proven expertise in building relationships to develop and deliver on client commitments with a wide range of stakeholders in FMCG sector or across sectors
• Good Analytical Skills & Problem-solving ability
• Strong written and verbal communication skills, a persuasive and passionate communicator with excellent interpersonal skills

Qualification: Post Graduation or any Equivalent degree

Experience required: 8-10 years of prior Market Research Experience with well- known organizations

IDC is seeking a Research Analyst to join the consumer device team. In this role, you will have the opportunity to work on several of IDC's device programs, including mobile phones, wearables, and personal computing devices. The candidate will be responsible for handling and analyzing data in the Asia region and should have the ability to interpret complex data from both quantitative and qualitative sources as well as a technical competency to handle large data sets and improve processing efficiency.

Why IDC ?

IDG is a dynamic and innovative data, research, and services company at the forefront of guiding the global technology market ecosystem. Our mission is to help companies grow by putting technology insights into action, and empowering businesses to make better decisions and thrive in the digital-first age.

Responsibilities

• Evaluate competitive positioning in the industry and update databases with relevant data and findings
• Develop market forecasts by utilizing statistical methods and tools to anticipate future trends and consumer behavior
• Prepare detailed reports and presentations to communicate findings to stakeholders
• Ensure the timely and accurate delivery of all program deliverables
• Improve upon existing processes with automation tools including AI
• Collaborate with cross-functional teams to develop customized market models and new products

Qualifications

• Bachelor's degree or equivalent in finance/economics, statistics, or engineering with a strong understanding of economic principles and their application to market analysis
• 2+ years of work experience, preferably in the market research or technology industry. Experience or interest in the devices sector is a bonus.
• Capable of conducting primary and secondary research
• Skilled in analyzing datasets and developing predictive models. Familiarity in statistical tools and methodologies is a bonus.
• High attention to detail in data creation, analysis, and report preparation
• Efficient in managing multiple research projects and meeting deadlines. Excellent in problem-solving while working in a team-based environment.
• Strong English written and verbal communication skills, preferably with presentation experience. Fluency in a second language, particularly Mandarin Chinese, Korean, or Japanese, is a bonus.
• Advanced Microsoft Excel and PowerPoint skills required. PowerBI, Python, and other technical skills are a bonus.
• Hybrid work model with occasional travel

IDC is an Equal Opportunity Employer. Applicants and employees are considered for positions and are evaluated without regard to mental or physical disability, handicap, race, color, religion, gender, gender identity and expression, ancestry, national origin, age, genetic.

Position: NLP Research Engineer

Location: On-site, HSR Layout, Benagluru.

Type: Full Time

About the Role:

We are seeking a driven NLP Research Engineer with 2–3 years of hands-on experience in model development and prototyping. In this R&D-focused role, you will explore and implement state-of-the-art LLM architectures, prompt engineering strategies, and LLM training techniques tailored to healthcare and oncology text. Your primary responsibility is to drive proof-of-concepts—from rapid iterations to rigorous experimental evaluations on clinical-text tasks. While our production teams will help with deployment, you’ll collaborate closely to hand off scalable prototypes that demonstrate clear performance gains.

What We Expect You to Bring:

1. Bachelor’s or Master’s degree in Computer Science, Computational Linguistics, AI/ML, or a related field
2. 2–3 years of professional R&D experience in NLP or ML research roles
3. Strong Python skills and deep familiarity with PyTorch or TensorFlow
4. Proficiency in working with NLP frameworks (e.g., spaCy, NLTK, HuggingFace Transformers, LangChain, vectorDBs, etc), deep learning libraries (e.g., PyTorch), and common data preprocessing techniques.
5. Expertise in prompt engineering, few-shot learning, and fine-tuning for domain-specific tasks
6. Familiarity with building retrieval-augmented generation (RAG) pipelines.
7. Hands-on experience with LLM fine-tuning using LoRA and SFT methods
8. Solid understanding of experimental design, ablation studies, and statistical significance testing
9. Familiarity with clinical or biomedical NLP is a plus
10. If you have worked with Direct Preference Optimization (DPO), that’s a plus
11. Excellent communication skills for sharing insights in seminars, whitepapers, or publications

What You Will Be Doing:

1. Model Innovation & Prototyping: Rapidly prototype novel LLM architectures, adapter modules, and prompt-tuning strategies for tasks such as clinical note summarization, entity extraction, and question answering.
2. Experimental Design & Analysis: Define evaluation protocols, run ablation studies, and analyze results to quantify improvements in accuracy, robustness, and domain generalization.
3. Proof-of-Concept Development: Build end-to-end POCs demonstrating how research breakthroughs translate into tangible gains on real healthcare datasets.
4. Collaboration & Knowledge Sharing: Work alongside NLP engineers and MLOps teams to hand off production-ready prototypes; present findings in regular research seminars and contribute to internal or external publications.
5. Literature & Trend Monitoring: Continuously survey the latest NLP/ML research, distill key innovations, and propose experiments to test applicability in our clinical environment.

Why Join?

1. We are revolutionizing a unique industry that has the potential to impact and benefit patients from all over the world - you can create impact at scale.
2. We have access to the best computing resources available, including the H100 and A100, among others.
3. We have had company-sponsored workations in Bali, Sri Lanka, and Manali and take pride in our hard-working yet super fun culture.
4. We are working on a few of the most challenging problems in a highly regulated industry, which provides you with an opportunity to solve some of the most interesting things.
5. You will get a chance to work with experts from multiple industries, the best in the industry compensation, and to continue building your own (and, of course, new) projects.

Key Responsibilities:

Model Development & Optimization

• Design and implement AI/ML models for online spectacles centration, fitting and online refraction.
• Develop models for online visual acuity assessment, screen-based testing, or optical prescription estimation.
• Develop models that replaces and enhances online measurement approaches through innovative data and AI-supported methods. With the midterm goal: Data replaces measurement.
• Implement and launch AI based solutions, fulfilling regulatory and legal requirements.

Data Handling & Preprocessing

• Work with multi-modal datasets
• Ensure that necessary data is gathered accurately and efficiently.
• Annotate, normalize, and augment vision-related data for robust model training.

Collaboration & Validation

• Collaborate with vision science experts, optometrists, and product teams to align on accuracy and reliability metrics.
• Validate AI models through lab or clinical studies when applicable.

Documentation & Compliance

• Ensure proper documentation of models, data practices, and support regulatory alignment (e.g., MDR, HIPAA, DPDPA, GDPR if applicable).

Minimum Qualification:

• Education : Master's (preferred) or Bachelor’s in Computer Science, AI, Biomedical Engineering, Applied Physics, or related fields.

• Experience : 2+ years of experience in AI/ML, with at least 1 year in or healthcare/vision-based applications .

Core Technical Skills (Must-Have):

• Programming- Python (must), OpenCV, NumPy, Pandas
• ML/DL Frameworks- TensorFlow, PyTorch, scikit-learn, Keras
• Mathematical Foundations- Linear algebra, optimization, statistical signal processing
• Data Handling- Image/video pipeline handling, image annotation tools, real-time stream processing
• Version Control- Git, Jupyter, API documentation best practices

As a Research Scientist, you will work on generating cohorts, and developing and validating machine learning models using EHR and clinical datasets.

You will be responsible for data preprocessing, exploratory analysis, feature engineering, model development, and documentation of your findings. You will collaborate closely with domain experts, engineers, and stakeholders to deliver impactful AI solutions for disease prediction and personalized medicine.

Key Responsibilities

• Execute end-to-end data science projects involving clinical data.
• Process and analyse complex datasets, including EHR and other real-world data sources.
• Develop predictive models using machine learning frameworks (e.g., BERT, CNN, etc.).
• Conduct exploratory data analysis and statistical hypothesis testing.
• Communicate findings via well-documented code, reports, and presentations.
• Collaborate with cross-functional teams, including clinicians, engineers, and product managers.
• Stay up-to-date with advances in machine learning, healthcare AI, and relevant research.

Required Qualifications

• PhD or a Master’s degree (with 2–3 years of relevant experience) in Data Science, Biological Sciences, Computational Biology, or a related discipline. Candidates with a degree in Computer Science and demonstrated experience working with biological or clinical data are also encouraged to apply.
• Strong proficiency in Python, especially for data analysis (e.g., pandas, PyTorch, matplotlib, sci-kit-learn).
• Experience working with biological, clinical, or healthcare-related datasets in academia or industry.
• Solid understanding of statistical concepts and ability to apply them practically.
• Strong communication skills with an ability to document and explain technical work clearly.

Preferred Qualifications (Nice to Have)

• Hands-on experience working with real-world or EHR data (structured/unstructured).
• Published or contributed to academic/industry research projects.
• Demonstrated use of programming/coding in research or work projects (GitHub, papers, or project links).
• Familiarity with healthcare data standards such as ICD, CPT, LOINC, HL7, or FHIR.
• Experience with ML pipelines and tools like scikit-learn, TensorFlow, PyTorch, or similar.
• Experience with Git or other version control systems.