Dxc Technology
Bio-genetics
SeniorAIAlgorithmEngineer(Bio-genetics/SyntheticBiology)
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“Senior AI Algorithm Engineer (Bio-genetics / Synthetic Biology) at Dxc Technology. Skills: AI Algorithm Engineering, Large Language Models (LLMs), Bio-genetics / Synthetic Biology, Deep Learning Frameworks (PyTorch/TensorFlow), Python, Multi-Agent Systems, Knowledge Graphs. Lead the architecture design, pre-training, and fine-tuning of vertical LLMs for bio-genetics. Enhance inference and generation capabilities in specific biological scenarios”
What You'll Achieve.
Enhancing inference and generation capabilities in specific biological scenarios; Constructing high-quality instruction-tuning datasets and knowledge bases; Achieving an end-to-end closed loop from natural language instructions to experimental protocol generation and equipment scheduling; Driving the deployment and iteration of algorithms in production environments
Industry & Context.
Address long-tail problems in traditional bioinformatics analysis; Handling complex logical reasoning and task planning
What They're Looking For.
Must Have
Master’s degree or higher in Computer Science, Bioinformatics, Artificial Intelligence, or related fields, 3+ years of algorithm development experience, Proficient in Python programming, Proficient in deep learning frameworks like PyTorch or TensorFlow, Solid foundation in Transformer architecture, Solid foundation in NLP algorithms, Hands-on experience in fine-tuning Large Language Models (LLMs), Experience in Multi-Agent systems or Knowledge Graph development, Capable of handling complex logical reasoning and task planning, Familiar with basic bioinformatics workflows (e.g., GATK, sequence alignment), Familiar with fundamental principles of bioinformatics, Possesses cross-disciplinary communication skills
Nice to Have
Experience in developing models for the bio/medical vertical, Familiar with RLHF, Familiar with Prompt Engineering, Experience integrating with medical HIS/LIS systems, Experience integrating with laboratory automation equipment, Publications in Nature / Science sub-journals or top-tier AI conferences in interdisciplinary fields, Familiarity with cloud-native deployment, Familiarity with containerization technologies, Experience in building large-scale data pipelines
What You'll Do.
Lead the architecture design
and fine-tuning of vertical LLMs for bio-genetics
Enhance inference and generation capabilities in specific biological scenarios
Spearhead the cleaning
and feature engineering of multimodal biological data
Construct high-quality instruction-tuning datasets and knowledge bases
Develop automated decision-making systems based on Multi-Agent frameworks
Achieve an end-to-end closed loop from natural language instructions to experimental protocol generation and equipment scheduling
Explore the application of cutting-edge AI technologies in precision medicine and smart breeding
Address long-tail problems in traditional bioinformatics analysis
Collaborate closely with biologists and clinicians
Translate complex biological problems into computable algorithmic models
Drive the deployment and iteration of algorithms in production environments
How You'll Work.
Team & Collaboration
Collaborate closely with biologists and clinicians; Cross-disciplinary communication
Communication Scope
Cross-disciplinary communication skills
Full Job Description
**Job Description:** **Responsibilities:** Lead the architecture design, pre-training, and fine-tuning of vertical Large Language Models (LLMs) for the bio-genetics sector (e.g., gene interpretation, breeding decision models), enhancing inference and generation capabilities in specific biological scenarios. * Spearhead the cleaning, standardization, and feature engineering of multimodal biological data (genomics, transcriptomics, clinical phenotypes, etc.) to construct high-quality instruction-tuning datasets and knowledge bases. * Develop automated decision-making systems based on Multi-Agent frameworks, achieving an end-to-end closed loop from natural language instructions to experimental protocol generation and equipment scheduling. * Explore the application of cutting-edge AI technologies (such as Chain-of-Thought, Reinforcement Learning, and Knowledge Graphs) in precision medicine and smart breeding to address long-tail problems in traditional bioinformatics analysis. * Collaborate closely with biologists and clinicians to translate complex biological problems into computable algorithmic models, driving the deployment and iteration of algorithms in production environments. **Requirements** * Master’s degree or higher in Computer Science, Bioinformatics, Artificial Intelligence, or related fields, with 3+ years of algorithm development experience. * Proficient in Python programming and deep learning frameworks like PyTorch or TensorFlow, with a solid foundation in Transformer architecture and NLP algorithms. * Hands-on experience in fine-tuning Large Language Models (LLMs); familiar with RLHF, Prompt Engineering, etc. Experience in developing models for the bio/medical vertical is highly preferred. * Experience in Multi-Agent systems or Knowledge Graph development, capable of handling complex logical reasoning and task planning. * Familiar with basic bioinformatics workflows (e.g., GATK, sequence alignment) and fundamental principles of genomics; possesses stron
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