PHD - Scotland, United Kingdom

Work Location: Anywhere in Europe (Remote)

Engagement Model: Freelancer / Independent Contractor

Weekly Workload: ca. 20 hours per week

Education Requirement: PhD in Bioinformatics, Mathematics, Chemistry or Physics

Start Date: ASAP

Subject Matter Expert (PhD)

DataForce by TransPerfect is seeking researchers with PhDs in Bioinformatics, Mathematics, Chemistry or Physics, 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 one of the listed scientific domains and hands-on experience with the corresponding computational tools. 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)
• Domain: Mathematics, Required Tool: Lean4
• Domain: Chemistry, Required Tool: ZINC
• Domain: Molecular Chemistry + Cosmology, Required Tool: OpenMM / OpenFF
• Domain: Particle Physics, Required Tool: Geant4
• Domain: Physics + Cosmology, Required Tool: Gadget4
• Domain: Physics + Condensed Matter, Required Tool: LAMMPS

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 one of the above-listed disciplines.
• Proven hands-on experience with the corresponding computational tool.
• 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).