12 Nov
|
Scholastika Knowledge Base Private
|
India
12 Nov
Scholastika Knowledge Base Private
India
Scholastika Knowledge Base Pvt. Ltd. is hiring experienced PhD-level Subject Matter Experts (SMEs) for an international AI-powered Scientific Search & Discovery Evaluation project.
The project involves evaluating AI-driven applications developed to improve scientific literature retrieval, search accuracy, information extraction, and the quality of AI-generated scientific responses.
The selected experts will work closely with an international technical and development team, applying their domain expertise to validate retrieved scientific literature, assess AI-generated answers, identify inaccuracies, and contribute to testing strategies and evaluation datasets.
We are hiring experts across two specialised domains:
1. Organic Chemistry
- Completed a PhD specifically in Organic Chemistry.
- Minimum 5 years of professional or research experience after PhD completion.
- Practical, hands-on experience with Elsevier Reaxys is mandatory.
2. Biomedical Sciences
- Completed PhD in Biomedical Sciences, Medicine, Biochemistry, Life Sciences, or a closely related discipline.
- Minimum 2 years of professional or research experience after PhD completion.
- Practical, hands-on experience with Embase is mandatory.
Key Responsibilities
- Evaluate scientific literature retrieved in response to natural-language search queries.
- Assess the relevance, accuracy, and completeness of retrieved documents.
- Validate AI-generated summaries, answers, and scientific explanations against original research literature.
- Identify factual inaccuracies, missing information, and inconsistencies in generated responses.
- Evaluate the conversion of natural-language queries into structured search queries.
- Apply advanced subject-matter expertise to assess scientific and biomedical information.
- Contribute to the development of evaluation datasets and scientific test cases.
- Participate in testing activities throughout different stages of application development.
- Collaborate with technical and development teams to identify issues and recommend improvements.
- Conduct final evaluations using larger test datasets.
- Contribute to testing strategies and decisions regarding further application development.
- Document evaluation findings and participate in regular project meetings.
Essential Requirements
- A completed PhD in the relevant discipline for the selected specialisation.
- Relevant post-PhD skilled or research experience as specified for the respective specialisation.
- Hands-on experience with the relevant scientific database:
- Elsevier Reaxys for Organic Chemistry.
- Embase for Biomedical Sciences.
- Strong scientific literature search and evaluation skills.
- Excellent written and spoken English.
- Strong analytical, critical-thinking, and research capabilities.
- Proficiency in Microsoft Excel.
- Ability to assess the scientific accuracy and reliability of AI-generated content.
Preferred Skills
- Scientific literature review and evaluation.
- Research data interpretation and validation.
- AI-generated content assessment.
- Scientific writing and technical documentation.
- Search and discovery evaluation.
- Experience working with international research or technology teams.
Working Arrangements
- Full-time commitment of 40 hours per week.
- Work with an international project development and evaluation team.
- Regular communication through Microsoft Teams and email.
- Evaluation assignments are primarily conducted using Microsoft Excel and written instructions.
Application Instructions
Applicants must clearly indicate whether they are applying for the Organic Chemistry or Biomedical Sciences specialisation.
Please ensure your updated CV highlights:
1. Your PhD discipline and completion date.
2. Your professional/research experience after PhD completion.
3. Your hands-on experience with Elsevier Reaxys or Embase, as applicable.
4. Your relevant research and scientific literature evaluation experience.
Only candidates meeting the mandatory qualification, experience, and database requirements for their respective specialisation will be considered.
📌 PhD Scientific Evaluator (India)
🏢 Scholastika Knowledge Base Private
📍 India