Job Description
Company Overview
Google (Alphabet Inc.) is a global technology leader focused on organizing the world’s information and making it universally accessible and useful. With a culture of innovation and a commitment to data‑driven decision making, Google’s research teams work on cutting‑edge projects in artificial intelligence, market analytics, user behavior, and product development. The company supports a fully remote workforce, offering flexible work arrangements and a collaborative virtual environment.
Key Responsibilities
Key Responsibilities For Remote Research Assistant
- Conduct literature reviews, data mining, and competitive analysis to support ongoing research initiatives across product and AI teams.
- Design, develop, and maintain data collection pipelines, ensuring data quality, integrity, and compliance with privacy standards.
- Perform statistical analysis, generate visualizations, and summarize findings in clear, concise reports for stakeholders.
- Assist senior researchers in preparing research proposals, experiment designs, and documentation of methodologies.
- Manage research databases, annotate datasets, and support labeling efforts for machine‑learning projects.
- Track project timelines, coordinate with cross‑functional partners, and provide regular status updates to project leads.
- Contribute to the preparation of internal presentations, white papers, and external publications as needed.
Required Qualifications
- Bachelor’s degree in a quantitative field such as Computer Science, Statistics, Economics, Psychology, or a related discipline; Master’s degree preferred.
- Minimum 1‑3 years of experience in research support, data analysis, or a similar role, preferably in a technology or academic setting.
- Proficiency with statistical software (e.g., R, Python, SAS) and data‑visualization tools (e.g., Tableau, PowerBI).
- Strong written and verbal communication skills, with the ability to translate complex findings into actionable insights.
- Demonstrated ability to work independently, manage multiple priorities, and meet deadlines in a remote environment.
Desired Skills
- Experience with machine‑learning frameworks (TensorFlow, PyTorch) and large‑scale data processing (SQL, BigQuery).
- Familiarity with survey design platforms (Qualtrics, SurveyMonkey) and qualitative research methods.
- Knowledge of research ethics, data privacy regulations, and best practices for reproducible research.
- Ability to collaborate effectively with interdisciplinary teams across different time zones.
Compensation & Benefits
- Annual base salary range: $85,000 – $115,000, commensurate with experience and qualifications.
- Comprehensive health, dental, and vision insurance plans.
- 401(k) retirement plan with company matching contributions.
- Generous paid time off, parental leave, and flexible holiday schedule.
- Remote work stipend for home office setup, high‑speed internet, and coworking space access.
- Professional development budget, employee assistance programs, and access to Google’s internal learning platforms.
How to Apply
Interested candidates should visit Google’s Careers portal, locate the “Remote Research Assistant” posting, and submit an online application that includes a resume, cover letter detailing relevant experience, and any supporting work samples or publications. After submission, qualified applicants will be contacted for a virtual interview process. Google is an equal‑opportunity employer and encourages applicants from all backgrounds to apply.
Google (Alphabet Inc.) is a global technology leader focused on organizing the world’s information and making it universally accessible and useful. With a culture of innovation and a commitment to data‑driven decision making, Google’s research teams work on cutting‑edge projects in artificial intelligence, market analytics, user behavior, and product development. The company supports a fully remote workforce, offering flexible work arrangements and a collaborative virtual environment.
Key Responsibilities
Key Responsibilities For Remote Research Assistant
- Conduct literature reviews, data mining, and competitive analysis to support ongoing research initiatives across product and AI teams.
- Design, develop, and maintain data collection pipelines, ensuring data quality, integrity, and compliance with privacy standards.
- Perform statistical analysis, generate visualizations, and summarize findings in clear, concise reports for stakeholders.
- Assist senior researchers in preparing research proposals, experiment designs, and documentation of methodologies.
- Manage research databases, annotate datasets, and support labeling efforts for machine‑learning projects.
- Track project timelines, coordinate with cross‑functional partners, and provide regular status updates to project leads.
- Contribute to the preparation of internal presentations, white papers, and external publications as needed.
Required Qualifications
- Bachelor’s degree in a quantitative field such as Computer Science, Statistics, Economics, Psychology, or a related discipline; Master’s degree preferred.
- Minimum 1‑3 years of experience in research support, data analysis, or a similar role, preferably in a technology or academic setting.
- Proficiency with statistical software (e.g., R, Python, SAS) and data‑visualization tools (e.g., Tableau, PowerBI).
- Strong written and verbal communication skills, with the ability to translate complex findings into actionable insights.
- Demonstrated ability to work independently, manage multiple priorities, and meet deadlines in a remote environment.
Desired Skills
- Experience with machine‑learning frameworks (TensorFlow, PyTorch) and large‑scale data processing (SQL, BigQuery).
- Familiarity with survey design platforms (Qualtrics, SurveyMonkey) and qualitative research methods.
- Knowledge of research ethics, data privacy regulations, and best practices for reproducible research.
- Ability to collaborate effectively with interdisciplinary teams across different time zones.
Compensation & Benefits
- Annual base salary range: $85,000 – $115,000, commensurate with experience and qualifications.
- Comprehensive health, dental, and vision insurance plans.
- 401(k) retirement plan with company matching contributions.
- Generous paid time off, parental leave, and flexible holiday schedule.
- Remote work stipend for home office setup, high‑speed internet, and coworking space access.
- Professional development budget, employee assistance programs, and access to Google’s internal learning platforms.
How to Apply
Interested candidates should visit Google’s Careers portal, locate the “Remote Research Assistant” posting, and submit an online application that includes a resume, cover letter detailing relevant experience, and any supporting work samples or publications. After submission, qualified applicants will be contacted for a virtual interview process. Google is an equal‑opportunity employer and encourages applicants from all backgrounds to apply.
Required Skills
- Research
- Assistant