FORENSICS & PHARMACOLOGY SUBJECT MATTER EXPERTS

Innodata Inc.

Philippines

Remote

PHP 2,205,000 - 4,410,000

Full time

3 hours ago
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Job summary

Innodata Knowledge Services Inc. is seeking knowledgeable and detail-oriented SMEs in Forensics, Remote Sensing & Pharmacology to join our AI Training Data Programme.

This freelance, work-from-home opportunity welcomes professionals with specialized backgrounds in forensic DNA analysis, molecular biology, pharmacology, and dose-response analysis. Candidates with relevant laboratory, research, academic, or professional experience are encouraged to apply.

Qualifications

  • Bachelor’s, Master’s, or PhD degree in a relevant discipline.
  • Candidates with relevant laboratory, research, academic, or professional experience are encouraged to apply.
  • Strong scientific, analytical, and problem-solving skills.

Responsibilities

  • Interpret STR electropherograms and DNA profiling data.
  • Interpret Schild plots and isobolograms used in pharmacological research.
  • Review scientific figures and quantitative data for accuracy and consistency.
  • Follow detailed project guidelines and produce accurate outputs.

Skills

Scientific analysis
Data interpretation
Attention to detail
Written English
Following project guidelines

Education

Bachelor’s, Master’s, or PhD in a relevant discipline

Job description

Innodata Knowledge Services Inc. is looking for knowledgeable and detail-oriented Forensics, Remote Sensing & Pharmacology Subject Matter Experts (SMEs) to join our large-scale AI Training Data Programme!

This is an exciting opportunity for professionals, researchers, and academic experts with specialized backgrounds in forensic DNA analysis, molecular biology, pharmacology, and quantitative drug-response analysis to apply their expertise in supporting AI training and evaluation.

  • Engagement Type: Freelance
  • Work Arrangement: 100% Work From Home (WFH)
  • Minimum Commitment: At least 5 hours per day
  • Compensation: Hourly rate based on assigned tier level
  • Project: AI Training Data Programme
Areas of Expertise

Candidates may specialize in one or both of the following areas:

1. Forensic DNA Analysis — STR Electropherograms

  • Interpret short tandem repeat (STR) electropherograms and DNA profiling data.
  • Analyze allele peaks, genetic markers, and DNA profile information.
  • Review and interpret technical figures and visualizations related to forensic genetics.
  • Evaluate the consistency and accuracy of DNA-related information according to project guidelines.

2. Quantitative Pharmacology — Schild Plots and Isobolograms

  • Interpret Schild plots and isobolograms used in pharmacological research.
  • Analyze dose-response relationships, receptor interactions, and drug potency.
  • Interpret visualizations related to drug combinations, synergistic effects, additive effects, and antagonistic effects.
  • Review scientific figures and quantitative data for accuracy and consistency.
Qualifications
  • Bachelor’s, Master’s, or PhD degree in a relevant discipline.
  • Relevant academic backgrounds may include:
For Forensic DNA Analysis:
  • Forensic Science
  • Medical Laboratory Science / Medical Technology
  • Biology
  • Molecular Biology and Biotechnology
  • Genetics
  • Biotechnology
  • Biomedical Science
For Quantitative Pharmacology:
  • Pharmacology
  • Pharmacy
  • Pharmaceutical Sciences
  • Biomedical Science
  • Biology
  • Pharmaceutical Research

Candidates with relevant laboratory, research, academic, or professional experience are encouraged to apply.

  • Strong scientific, analytical, and problem-solving skills.
  • Ability to interpret complex scientific figures, charts, and technical data.
  • Excellent attention to detail and written English communication skills.
  • Ability to follow detailed project guidelines and produce accurate, consistent outputs.
  • Experience with molecular biology techniques, DNA profiling, pharmacological experiments, dose-response analysis, or scientific data interpretation is an advantage, depending on the specialization.
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