Research Assistant

Company Introduction

• We process around 2500 transactions per second by levering distributed & auto scale technology like K8.
• Our core platform combines of 1200+ micro services.
• Our customer list includes Fintech start-ups, top tier private banks to PSU bank. We operate in five countries and help customers constantly change the way financial institutions operate and innovate.
• Our solutions currently empowers over 20 banks and 250+ enterprises across India and abroad.
• Our platform seamlessly manages the entire transaction lifecycle, including withdrawals, deposits, transfers, payments, and lending through various channels like digital, branch, agents.
  

For more details visit: www.iserveu.in

Job Position :

Location:

Reports To:

Job Summary

Key Responsibilities

• Literature Review & Information Gathering:
• Conduct comprehensive literature searches using various databases and resources.
• Summarize, synthesize, and critically evaluate relevant research papers, articles, and reports.
• Maintain an organized database of research materials and citations.
• Data Collection & Management:
• Assist in the design and development of data collection instruments (e.g., surveys, experimental protocols, data pipelines).
• Collect, organize, and manage research data, ensuring accuracy, completeness, and adherence to ethical guidelines.
• Maintain meticulous records of research activities and data sources.
• [If applicable: Develop scripts for data extraction, perform data cleaning, manage large datasets.]
• Data Analysis & Interpretation:
• Assist with preliminary data analysis using statistical software (e.g., R, Python, MATLAB) or specialized computational tools.
• Generate tables, charts, and graphs to visualize data findings.
• Contribute to the interpretation of results and identification of key insights.
• Summarize research papers for easy consumption.
• Programming & Prototyping:
• Assist in developing and testing software prototypes, algorithms, or models relevant to the research.
• Write clean, well-documented, and efficient code.
• Debug and troubleshoot technical issues.
• Report Writing & Dissemination:
• Assist in drafting, editing, and formatting research reports, presentations, and manuscripts.
• Prepare summaries of findings for internal and external communication.
• Ensure all written materials adhere to academic/professional standards and guidelines.
• Project Coordination & Administrative Support:
• Assist with the day-to-day coordination of research projects, including scheduling meetings, managing timelines, and tracking progress.
• Handle general administrative tasks as needed to support the research team.
• Ensure compliance with all relevant research protocols, ethical guidelines, and institutional policies.
  

Requirements

Required Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Data Science, or a closely related technical field.
• 1-2 years of experience in a research setting (can include academic projects, internships, or previous research assistant roles).
• Less than 28 years of age, candidates enrolled in PhD programs can apply.
• Strong analytical and critical thinking skills.
• Excellent written and verbal communication skills.
• Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint).
• High level of attention to detail and accuracy in data handling and record-keeping.
• Ability to work independently and collaboratively within a team environment.
• Strong organizational and time management skills, with the ability to manage multiple tasks simultaneously.
• Demonstrated ability to learn new software and research methodologies quickly.
  

Preferred Qualifications

• Experience with programming languages commonly used in research (e.g., Python, Java, C++).
• Familiarity with data analysis libraries (e.g., Pandas, NumPy, SciPy) or machine learning frameworks (e.g., TensorFlow, PyTorch).
• Experience with version control systems (e.g., Git).
• Familiarity with research ethics and human/animal subject protection protocols (IRB/IACUC).
• Experience in computational modeling, algorithm design, data mining, machine learning, or software development for research.
• Prior experience with cloud computing platforms (e.g., AWS, GCP, Azure) for research purposes or specialized research software/tools.
• A strong interest in [specific sub-field of research, e.g., Artificial Intelligence, Machine Learning, Cybersecurity, Human-Computer Interaction, Data Science, Computer Vision, Natural Language Processing].