AIDD Senior Researcher (Bioinformatics Direction)

Job Overview

The position focuses on AIDD/bioinformatics and other interdisciplinary fields, responsible for core algorithm development, multi-omics big data analysis, and AIDD platform construction. It leads technology implementation, drives algorithms and platforms from R&D to industrial-grade applications, supports core stages such as drug target discovery and evaluation, molecular design and optimization, and helps the team improve R&D efficiency.

Core Responsibilities

1. AIDD Core Algorithm Development

o From the direction of target discovery and evaluation, develop innovative AI algorithm models to solve key problems in multi-omics data-driven drug design.

o Explore the application of vibe coding in the AIDD field. Through natural language requirement-driven and AI-assisted iteration, rapidly develop efficient analysis scripts, algorithm modules, and tools to lower the development barrier and enhance iteration efficiency.

o Lead the design, training, validation, and optimization of algorithms, establish an algorithm performance evaluation system, and ensure model stability and accuracy at an industrial-grade data scale.

2. Multi-Omics and Big Data Analysis

o Responsible for integrated analysis of multi-omics data such as genomics, transcriptomics, proteomics, and metabolomics, to discover biomarkers, signaling pathways, and mechanisms of action related to drug R&D.

o Process large-scale biomedical data, establish data cleaning, standardization, visualization, and mining workflows to support data-driven R&D decision-making.

o Combine big data technologies with machine learning/deep learning to develop multi-omics data correlation analysis algorithms, achieving deep integration and value extraction from cross-dimensional data.

o Requirement-driven AIDD platform prototype construction.

3. Project Implementation and Cross-department Collaboration

o Collaborate deeply with other early R&D teams to implement algorithm and platform outcomes into specific R&D projects, provide technical support and solution design, and drive the loop of "algorithm-experiment-iteration".

o Lead the formulation of technical solutions for key projects, solve bioinformatics and AIDD technical bottlenecks during the R&D process, and ensure project progress and result quality.

o Consolidate technical documentation, algorithm manuals, and platform operation guidelines, and drive the team's technical capability and knowledge system development.

4. Technological Innovation and Academic Contribution

o Track cutting-edge advancements in AIDD, bioinformatics, multi-omics, and AI algorithm fields. Introduce advanced technologies, and transform them into practical tools and methods for the team.

o Lead or participate in academic research, write high-quality papers, patents, and technical reports to enhance the team's academic influence and technical barriers.

o Participate in industry academic conferences and exchanges, share research findings, and expand technical collaboration resources.

Job Requirements

1. Ph.D. in Bioinformatics, Computational Biology, AIDD, Medicinal Chemistry (Computational Focus), or related fields, with a solid theoretical tract record. Overseas background is preferred.

2. Possess a strong record of research training and independent academic research capability; publication of high-quality papers is preferred.

3. 3-5 years of industrial R&D experience in bioinformatics/AIDD; experience with successfully implemented project cases is preferred.

4. Fluency in English and Chinese (written and spoken).

5. Professional Skills

o Proficient in programming languages such as Python/R, skilled in using deep learning frameworks like PyTorch/TensorFlow, and possess a solid foundation in machine learning/deep learning algorithms.

o Proficient in multi-Omics data analysis workflows and tools, and possess the ability to process and analyze large-scale biological data.

o Familiar with the vibe coding development paradigm, and able to efficiently utilize AI-assisted tools to complete algorithm and platform module development.

o Familiar with the basic workflow and core stages of drug R&D, and able to deeply integrate bioinformatics/AIDD technologies with drug R&D scenarios.

o Possess platform development experience, familiar with database design and cloud platform deployment, and have knowledge of front-end and back-end development.

6. Possess excellent communication skills, problem-solving ability, cross-department communication and collaboration skills, and team management skills; Meticulous work ethic with high responsibilities.

职位定位

岗位聚焦AIDD/生物信息学等交叉领域，负责核心算法开发、多组学大数据分析及AIDD平台搭建，主导技术落地，推动算法与平台从研发到工业级应用，支撑药物靶点发现评估、分子设计优化等核心环节，助力团队提升研发效率。

【核心职责】

1. AIDD核心算法开发

o 从靶点发现和评估方向开发创新的AI算法模型，解决多组学数据驱动的药物设计关键问题。

o 探索vibe coding在AIDD领域的应用，通过自然语言需求驱动+AI辅助迭代，快速开发高效分析脚本、算法模块与工具，降低开发门槛、提升迭代效率。

o 主导算法的设计、训练、验证与优化，建立算法性能评估体系，确保模型在工业级数据规模下的稳定性与准确性。

2. 多组学与大数据分析

o 负责基因组、转录组、蛋白组、代谢组等多组学数据的整合分析，挖掘与药物研发相关的生物标志物、信号通路与作用机制。

o 处理大规模生物医学数据，搭建数据清洗、标准化、可视化与挖掘流程，支撑数据驱动的研发决策。

o 结合大数据技术与机器学习/深度学习，开发多组学数据关联分析算法，实现跨维度数据的深度融合与价值提取。

o 需求驱动的AIDD平台原型构建。

3. 项目落地与跨部门协作

o 与其他早研团队深度协作，将算法与平台成果落地到具体研发项目，提供技术支持与方案设计，推动“算法-实验-迭代”闭环。

o 主导关键项目的技术方案制定，解决研发过程中的生物信息与AIDD技术瓶颈，保障项目进度与成果质量。

o 沉淀技术文档、算法手册与平台操作规范，推动团队技术能力与知识体系建设。

4. 技术创新与学术沉淀

o 跟踪AIDD、生物信息学、多组学、AI算法领域前沿进展，引入前沿技术并转化为团队可用工具与方法。

o 主导或参与学术研究，撰写高质量论文、专利与技术报告，提升团队学术影响力与技术壁垒。

o 参与行业学术会议与交流，分享研究成果，拓展技术合作资源。

【任职要求】

1. 生物信息学、计算生物学、AIDD、药物化学（计算方向）等相关专业博士学位，具备扎实的学科理论基础，海外背景优先。

2. 拥有良好的科研训练记录，具备独立学术研究能力；有高质量论文发表者优先。

3. 3-5年生物信息/AIDD相关工业界研发经验，有成功落地的项目案例优先。

4. 熟练的中英文表达能力。

5. 专业技能

o 精通Python/R等编程语言，熟练使用PyTorch/TensorFlow等深度学习框架，具备扎实的机器学习/深度学习算法基础。

o 熟练掌握多组学数据分析流程与工具，具备大规模生物数据处理与分析能力。

o 熟悉vibe coding开发范式，能高效利用AI辅助工具完成算法与平台模块开发。

o 熟悉药物研发基本流程与核心环节，能将生物信息/AIDD技术与药物研发场景深度结合。

o 具备平台开发经验，熟悉数据库设计与云平台部署，了解前后端开发。

6. 具备优秀的沟通能力、问题解决能力、跨部门沟通协作能力与团队管理能力；工作严谨、责任心强。