Scientific Research Assistant – Figure & Chart Extraction (Pharmaceutical Research)

--- About the Role ---

We are looking for a scientifically trained, detail-oriented Research Assistant to work with pharmaceutical and biomedical research papers.

This role involves reviewing peer-reviewed research articles, identifying relevant figures and charts, cropping and extracting them accurately, and recording structured metadata in Excel.

This is not basic data entry.
You must be comfortable reading scientific papers and understanding which figures are relevant and which are not.

--- Key Responsibilities ---

• Review pharmaceutical / biomedical research papers (PDFs)
• Identify relevant figures, charts, and images
• Exclude irrelevant figures (e.g., schematics, workflows, tables when not needed)
• Accurately crop figures and charts from PDFs
• Save extracted images using defined naming conventions
• Record metadata in Excel, including:
- paper title
- figure number
- figure type (e.g., PK curve, dose–response, time series)
• Follow detailed SOPs for consistency and accuracy

--- Required Qualifications ---

Education:
Bachelor’s degree (or currently completing) in one of the following:
• Chemistry
• Pharmaceutical Sciences / Pharmaceutics
• Biology
• Biochemistry
• Biomedical Sciences
• Or related life science field

Must-Have Skills:
• Comfortable reading and navigating scientific research papers
• Good English reading comprehension

Proficient with:
• PDFs
• Basic image cropping tools
• Microsoft Excel or Google Sheets
• Ability to follow structured instructions precisely

Highly Preferred (Bonus Qualifications)

• Research experience (academic or industry)
• Experience working with peer-reviewed journals

Experience as:
• Research assistant
• Thesis or dissertation contributor

Familiarity with:
• Pharmacokinetics (PK), dose–response curves, time-series experimental data, scientific line charts
vExperience organizing datasets for research or analysis

--- Compensation & Benefits ---

• Base pay: $450–$650 USD/month
• Paid onboarding
• Long-term, stable work
• Opportunity to move into higher-responsibility roles
• Work directly with AI/ML research pipelines in pharma

--- Work Schedule ---

• Full-time (40 hours/week)
• Flexible schedule
• Must consistently meet output expectations

--- How to Apply ---

Please submit:
1) Resume / CV
2) Your degree and field of study
3) A short answer (3–5 sentences): Describe your experience reading or working with scientific research papers.
4) Any research experience (academic, lab, thesis, publications — if applicable)
5) Your expected monthly salary
6) Screenshot of your internet speed