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I'm Afroza Begum, a PhD-trained molecular biologist and biotechnologist with expertise in molecular biology, biochemistry, and interdisciplinary scientific research. I design experiments, analyze complex datasets, and interpret results using advanced analytical techniques such as NMR spectroscopy, GC, and ICP-MS. I thrive at the intersection of biology and technology, translating scientific insights into practical applications and robust AI training workflows. Today, I serve as an AI Trainer in life sciences, curating scientific datasets, validating model outputs, and creating domain-specific training scenarios to advance AI tools in molecular biology and biochemistry. Previously, as a Doctoral Researcher at the University of Sheffield, I engineered Saccharomyces cerevisiae strains to produce polyhydroxybutyrate from rice wastewater and collaborated with international teams to interpret data and generate insights.…I'm Afroza Begum, a PhD-trained molecular biologist and biotechnologist with expertise in molecular biology, biochemistry, and interdisciplinary scientific research. I design experiments, analyze complex datasets, and interpret results using advanced analytical techniques such as NMR spectroscopy, GC, and ICP-MS. I thrive at the intersection of biology and technology, translating scientific insights into practical applications and robust AI training workflows. Today, I serve as an AI Trainer in life sciences, curating scientific datasets, validating model outputs, and creating domain-specific training scenarios to advance AI tools in molecular biology and biochemistry. Previously, as a Doctoral Researcher at the University of Sheffield, I engineered Saccharomyces cerevisiae strains to produce polyhydroxybutyrate from rice wastewater and collaborated with international teams to interpret data and generate insights.

Afroza Begum

Data Scientist, AI Engineer, Online Trainer, +2

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I'm Afroza Begum, a PhD-trained molecular biologist and biotechnologist with expertise in molecular biology, biochemistry, and interdisciplinary scientific research. I design experiments, analyze complex datasets, and interpret results using advanced analytical techniques such as NMR spectroscopy, GC, and ICP-MS. I thrive at the intersection of biology and technology, translating scientific insights into practical applications and robust AI training workflows. Today, I serve as an AI Trainer in life sciences, curating scientific datasets, validating model outputs, and creating domain-specific training scenarios to advance AI tools in molecular biology and biochemistry. Previously, as a Doctoral Researcher at the University of Sheffield, I engineered Saccharomyces cerevisiae strains to produce polyhydroxybutyrate from rice wastewater and collaborated with international teams to interpret data and generate insights.…I'm Afroza Begum, a PhD-trained molecular biologist and biotechnologist with expertise in molecular biology, biochemistry, and interdisciplinary scientific research. I design experiments, analyze complex datasets, and interpret results using advanced analytical techniques such as NMR spectroscopy, GC, and ICP-MS. I thrive at the intersection of biology and technology, translating scientific insights into practical applications and robust AI training workflows. Today, I serve as an AI Trainer in life sciences, curating scientific datasets, validating model outputs, and creating domain-specific training scenarios to advance AI tools in molecular biology and biochemistry. Previously, as a Doctoral Researcher at the University of Sheffield, I engineered Saccharomyces cerevisiae strains to produce polyhydroxybutyrate from rice wastewater and collaborated with international teams to interpret data and generate insights.

Available to hire

I’m Afroza Begum, a PhD-trained molecular biologist and biotechnologist with expertise in molecular biology, biochemistry, and interdisciplinary scientific research. I design experiments, analyze complex datasets, and interpret results using advanced analytical techniques such as NMR spectroscopy, GC, and ICP-MS. I thrive at the intersection of biology and technology, translating scientific insights into practical applications and robust AI training workflows.

Today, I serve as an AI Trainer in life sciences, curating scientific datasets, validating model outputs, and creating domain-specific training scenarios to advance AI tools in molecular biology and biochemistry. Previously, as a Doctoral Researcher at the University of Sheffield, I engineered Saccharomyces cerevisiae strains to produce polyhydroxybutyrate from rice wastewater and collaborated with international teams to interpret data and generate insights.

Skills

Experience Level

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

AI Trainer – Life Sciences (Remote)

January 1, 2024 - Present

Contribute to the development and improvement of AI models by training and evaluating large language models (LLMs) in biomedical and life science domains. Curate and annotate scientific datasets related to molecular biology, biochemistry, and biotechnology to enhance AI model learning. Design domain-specific scientific questions, problem sets, and scenarios to test model reasoning and accuracy in life science topics. Review and validate AI-generated responses for scientific correctness, clarity, and adherence to evidence-based standards. Provide detailed feedback and quality assessments to improve model performance and reduce hallucination or misinformation in scientific outputs. Collaborate with interdisciplinary teams including AI engineers, data scientists, and subject matter experts. Document training methodologies and contribute to the continuous improvement of AI training workflows.

Doctoral Researcher at University of Sheffield

October 1, 2019 - February 1, 2024

Designed experimental workflows investigating microbial metabolic pathways for sustainable biopolymer production. Engineered Saccharomyces cerevisiae strains to produce polyhydroxybutyrate using rice wastewater as a substrate. Generated and analyzed large experimental datasets using analytical chemistry and biochemical techniques. Applied NMR spectroscopy, GC, and ICP-MS for biochemical compound identification and quantification. Collaborated with international research teams to interpret data and develop scientific insights.