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Position: Research Assistant (Enterprise AI & BFSI)

Location: India (Remote)

Employment Type: Full-Time

Schedule: Monday to Friday, Day Shift

Experience: 2+ years in Research, Data Analysis, or Market/Technical Research

Company Description

Scry AI is a research-led enterprise AI company that builds intelligent platforms for BFSI institutions to drive efficiency, insight, and compliance. Our solutions support complex workflows across finance, insurance, and operations by automating data extraction, analysis, and real-time intelligence delivery.

We are looking for a Research Assistant to support product, market, and technical research. You will help gather and analyze information, run structured evaluations, and produce concise briefs that inform product roadmaps, GTM strategy, and client solutions.

Role Overview

As a Research Assistant, you will execute end-to-end research tasks across literature reviews, competitive analysis, dataset preparation, and model evaluation support. You will work closely with product managers, data scientists, solution consultants, and marketing to convert raw findings into clear insights and decision-ready summaries.

Key Responsibilities

Research Planning and Execution

• Translate problem statements into research questions, hypotheses, and deliverables.
• Conduct literature reviews across academic papers, standards, and industry reports.
• Map competitors and adjacent solutions with feature matrices and benchmarks.

Data and Analysis

• Collect and clean data from trusted sources and public datasets.
• Run structured analyses in spreadsheets or Python or SQL to validate hypotheses.
• Assist in evaluation runs for models or prompts or extraction pipelines and summarize results.

Documentation and Communication

• Produce research briefs, one-pagers, and slide summaries with citations.
• Maintain research logs, assumptions, and references for auditability.
• Create visuals such as tables, simple charts, and process diagrams to explain findings.

Knowledge Management and Compliance

• Curate a searchable knowledge base of papers, links, and internal notes.
• Track source provenance, licensing, and usage restrictions.
• Follow privacy, security, and ethical guidelines for data handling.

Product and GTM Support

• Analyze user pain points, workflows, and industry regulations in BFSI.
• Support pricing and TCO or ROI models with assumptions and sensitivity checks.
• Prepare inputs for thought leadership, case studies, and collateral.

Required Qualifications and Skills

• 2+ years of experience in research, analytics, consulting, or a related role.
• Strong skills in secondary research, note-taking, and citation management.
• Proficiency with Excel or Google Sheets and comfort with pivot tables and basic formulas.
• Working knowledge of Python or SQL for basic data wrangling is a plus.
• Clear writing skills with the ability to produce concise, structured summaries.
• Familiarity with BFSI concepts or enterprise software ecosystems is a plus.

Tools familiarity

• Google Suite, Notion or Confluence, Airtable, Jira, and presentation tools.

Preferred

• Exposure to AI or data workflows such as information extraction, evaluation metrics, or prompt testing.
• Experience building competitor landscapes and VC funding maps.
• Basic visualization skills in matplotlib or spreadsheet charts.
• Understanding of compliance and risk themes relevant to BFSI.

Our Ideal Candidate

• Is detail-oriented, curious, and methodical in how they validate information.
• Converts ambiguous asks into a clear plan and timeline.
• Communicates insights simply and backs them with data and sources.
• Enjoys collaborating across product, data, and go-to-market teams.

Tip for candidates

If this role interests you, follow our page to stay updated on research and product analysis roles and opportunities to work on applied AI for high-impact BFSI use cases.

• 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.

• Assist senior researchers in conducting literature reviews and summarizing relevant scientific publications.
• Gather, organize, and manage research data using various digital tools and databases.
• Perform data entry and preliminary data analysis under the guidance of the research team.
• Prepare research materials, including presentations, reports, and experimental protocols.
• Conduct online searches and gather information on specific research topics.
• Support the setup and execution of virtual experiments or simulations.
• Maintain detailed and accurate records of research activities and findings.
• Collaborate with team members through virtual platforms, contributing to discussions and project development.
• Assist in the preparation of research papers for publication or presentation.
• Learn and apply various research techniques and software tools relevant to the project.

• Currently pursuing or recently completed a Bachelor's or Master's degree in a relevant scientific field (e.g., Biology, Chemistry, Physics, Computer Science, Engineering, or related discipline).
• Strong academic record with a demonstrated interest in scientific research.
• Excellent written and verbal communication skills.
• Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint).
• Familiarity with scientific literature databases (e.g., PubMed, Scopus) is a plus.
• Basic understanding of data analysis principles and statistical software is advantageous.
• Ability to work independently, manage time effectively, and meet deadlines in a remote setting.
• Enthusiasm for learning and contributing to research projects.
• Access to a reliable internet connection and a suitable remote working environment.

• Assist in the design and execution of agronomic field experiments.
• Collect, record, and manage field data accurately, including soil samples, crop growth, pest incidence, and environmental conditions.
• Conduct laboratory analyses of soil, water, and plant tissues according to established protocols.
• Operate and maintain field equipment and laboratory instrumentation.
• Prepare detailed reports on experimental findings and research progress.
• Collaborate with research teams to analyze data and draw meaningful conclusions.
• Ensure compliance with all safety and ethical guidelines in research activities.
• Maintain accurate inventory of supplies and equipment for research projects.
• Assist in literature reviews and stay updated on current agricultural research trends.
• Contribute to the development of new research methodologies and protocols.

• Bachelor's degree in Agronomy, Agriculture Science, Plant Science, or a related field.
• Proven experience in conducting agricultural field research or laboratory analysis.
• Strong understanding of crop physiology, soil science, and pest management.
• Proficiency in data collection, statistical analysis, and relevant software (e.g., MS Excel, R, SPSS).
• Excellent observational skills and attention to detail.
• Ability to work effectively in both field and laboratory settings.
• Good written and verbal communication skills.
• Valid driver's license for field travel.
• Ability to work independently and collaboratively within a research team.
• Commitment to contributing to sustainable agricultural practices.

• Assist in designing and conducting research studies.
• Perform thorough literature reviews and synthesize relevant information.
• Collect data through various methods, including surveys, questionnaires, and interviews.
• Accurately enter and organize research data into databases.
• Support senior researchers in data analysis and interpretation.
• Maintain research records, documentation, and project files.
• Schedule and coordinate research participant activities.
• Prepare summaries of findings and assist in report writing.
• Ensure ethical research practices are followed.
• Provide administrative support for research activities.

• Bachelor's degree in a relevant field (e.g., Social Sciences, Humanities, Sciences).
• Strong academic record with a demonstrated interest in research.
• Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint).
• Excellent organizational and time-management skills.
• Strong written and verbal communication abilities.
• Ability to follow instructions precisely and work meticulously.
• Eagerness to learn and adapt to new research techniques.
• Prior research experience or coursework is an advantage.