Subject Matter Expert - Biology/Proteins (PhD)

Work Location: Remote, within UK

Engagement Model: Freelancer / Independent Contractor

Weekly Workload: ca. 20 hours per week

Education Requirement: PhD in Bioinformatics

Start Date: ASAP

Subject Matter Expert (PhD)

DataForce by TransPerfect is seeking researchers with PhDs in Bioinformatics to contribute to the development of next-generation AI technologies. This is an opportunity to collaborate on pioneering projects that integrate domain-specific scientific expertise with AI model design, training, and validation.

Candidates must possess both deep academic knowledge in their scientific domain and hands-on experience with the corresponding computational tool. Your domain knowledge will be instrumental in guiding the design of domain-aware AI systems and in curating high-quality data for model training.

Open Specializations & Required Tool Expertise

• Domain: Bioinformatics / Proteins, Required Tool: Clustal Omega (clustalo)

Main Responsibilities:

• Apply your expertise and tool knowledge to generate, process, and validate data for AI training and evaluation.
• Support the design of knowledge-grounded AI architectures.
• Evaluate AI performance against domain-specific benchmarks and provide expert feedback.

Job requirements

Requirements:

• PhD in Bioinformatics.
• Proven hands-on experience with Clustal Omega.
• Strong understanding of data-driven research and computational modeling.
• Interest or experience in AI/ML, scientific computing, or simulation-based learning.
• Excellent analytical and communication skills.
• Previous experience in AI, machine learning, or computational research projects (preferred).

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.

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