- تجربہ
- کوئی بھی
- تنخواہ
- USD 20 – USD 55 / hour
- کھلنا
- 1
- پوسٹ کیا گیا
- 4 گھنٹے قبل
- Work mode
- گھر سے کام کریں۔
- تعلیم
- STEM background
- Eligibility
- Candidates with academic research experience and a STEM background can apply. The opportunity is open to qualified applicants regardless of background, prior job history, or experience level, as long as they can demonstrate the required skills and expertise.
- Resume
- Required to apply
ملازمت کی تفصیل
Role summary
This is a contract research opportunity for a remote academic researcher. You will support a client project by planning studies, carrying out research work, evaluating findings, and helping turn the results into publication-ready outputs.
Work setup
The position is fully remote and can be performed from anywhere. The engagement is on a contract basis.
Compensation
The pay for this role is between $20 and $55 per hour.
Core responsibilities
- Build and carry out academic research studies that match the goals of the project.
- Review existing literature to spot knowledge gaps and shape the research approach.
- Work with both qualitative and quantitative data using statistical and analytical methods.
- Draft, revise, and polish research papers, reports, and supporting documentation for publication.
- Partner with cross-functional teams to apply research insights to development work.
Required background
- Prior experience in academic research or a closely related area is needed.
- Strong capability with data analysis and statistical software is required.
- Excellent academic writing and editing skills are essential.
- You should be comfortable working independently and delivering work on deadline.
- A background in science, technology, engineering, or mathematics is required.
About the opportunity
This role sits within an organization working in the technology, information, and internet space, with a focus on AI and data-driven research. It is intended to support long-term collaboration between academic and industry teams.
Equal opportunity
Selection is based on skills and expertise. Candidates are considered fairly regardless of background, prior experience, or employment history, and review is centered on demonstrated qualifications.