Molecular & Cellular Life Sciences Subject Matter Expert
About this role
Work Location: US, remote
Engagement Model: Freelancer / Independent Contractor
Project duration: 3 months (with potential extension)
Work Schedule: Flexible hours, based on the applicant's availability
Language skills required: English
DataForce by TransPerfect is seeking a recent PhD graduate or early-career researcher specializing in Molecular & Cellular Life Sciences to support a large-scale research and data validation project. The ideal candidate will have a strong academic research background and hands-on experience working with scientific datasets, publications, and research databases within their area of expertise.
Relevant backgrounds include Molecular Biology, Cell Biology, Genetics, Genomics, and Biochemistry.
Main Responsibilities
Review scientific content, publications, and research data within your area of expertise.
Navigate and utilize leading research datasets, repositories, and databases relevant to molecular and cellular life sciences.
Curate, validate, and organize scientific data.
Identify incorrect, inconsistent, incomplete, or potentially misleading scientific information.
Verify scientific claims against published research and established datasets.
Assess data quality, relevance, and reliability.
Support data annotation, classification, and quality assurance activities.
Apply critical scientific thinking to evaluate research outputs and data sources.
Clearly communicate findings, issues, and recommendations.
Role Requirements
PhD completed or recently completed in Molecular Biology, Cell Biology, Genetics, Genomics, Biochemistry, or a related Life Sciences field.
Up to 5 years of professional, academic, or postdoctoral experience.
Demonstrated research experience through publications, thesis work, laboratory research, or postdoctoral projects.
Experience working with scientific datasets and research databases.
Familiarity with datasets, repositories, and data sources relevant to molecular and cellular life sciences.
Strong analytical and problem-solving skills.
Exceptional attention to detail.
Ability to identify errors, inconsistencies, and quality issues in scientific data.
Strong written and verbal communication skills.
Preferred Qualifications
Experience with data curation or data quality review.
Experience using public scientific repositories and databases.
Experience in bioinformatics, computational biology, or data analysis.
Familiarity with AI-driven research tools.
Experience reviewing scientific literature and validating scientific content.
DataForce by TransPerfect is part of the TransPerfect family of companies, the world’s largest provider of language and technology solutions for global business, with offices in more than 100 cities worldwide.
We offer high-quality data for Human-Machine Interaction to some of the most prestigious technology companies in the world. Our department focuses on gathering, enriching and processing data for Machine Learning in different AI domains.
TransPerfect provides equal employment opportunity to all individuals regardless of their race, color, creed, religion, gender, age, sexual orientation, national origin, disability, veteran status, or any other characteristic protected by state, federal, or local law. For more information on the TransPerfect Family of Companies, please visit our website at www.transperfect.com.
Company at a glance
DataForce delivers high-quality, multimodal training data and services to power the next generation of AI. From large language models to voice, image, and video generation, DataForce supports AI innovators in tech, life sciences, automotive, and beyond with scalable, secure solutions for development, testing, and safety. Backed by cutting-edge technology and over one million data contributors, DataForce helps ensure AI systems are accurate, adaptable, and ready for real-world deployment.
DataForce is part of TransPerfect, the world’s largest provider of language and AI solutions for global business, with offices in more than 140 cities worldwide. Learn more at www.dataforce.ai.
Contact: [email protected]
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