JOB TITLE: Bioinformatics Data Scientist – Protein Design
职位名称：生物信息学数据科学家 – 蛋白质设计

JOB OBJECTIVE:
We are seeking a highly skilled and motivated Bioinformatics Data Scientist with expertise in protein modeling, protein design, and machine learning model development. The ideal candidate will have experience in applying the latest data science and computational tools to the design and optimization of proteins. This role offers an exciting opportunity to work collaboratively with a multidisciplinary team of experimental biologists and chemists to develop innovative protein design platforms leveraging AI and drive impactful research and development projects in biotechnology.

职位目标：
我们正在寻找一位具有高技能和高度积极性的生物信息学数据科学家，该科学家需具备蛋白质建模、蛋白质设计以及机器学习模型开发的专业知识。理想的候选人应具备运用最新数据科学和计算工具进行蛋白质设计和优化的经验。本职位提供了一个与实验生物学家和化学家组成的跨学科团队合作的机会，利用AI开发创新的蛋白质设计平台，并推动生物技术领域的研究与开发项目。

CORE DUTIES:
1.Drive innovation by designing and optimizing cutting-edge machine learning algorithms tailored to protein modeling and design, utilizing both proprietary and open-source models.
2.Analyze large-scale biological datasets from high-throughput screening campaigns and public databases to derive insights and accelerate research objectives.
3.Embracing and being open to incorporating Promega’s 6 Emotional & Social Intelligence (ESI) core principles in daily work.
4.Develop and apply computational models for protein structure prediction, protein design, and related bioinformatics analyses to achieve design goals.
5.Collaborate with experimental scientists to integrate computational predictions with laboratory experiments.
6.Create and manage data pipelines, ensuring the efficient processing and analysis of experimental and bioinformatics data.
7.Utilize high-performance computing resources for large-scale data analysis and model training.
8.Ensure reproducibility and version control of code and computational workflows using tools such as Git.
9.Enable the application of computational tools by internal users through accessible implementation and training.
10.Stay current with the latest developments in bioinformatics, computational biology, protein design, and machine learning.
11.Prepare and present research findings to internal teams and external stakeholders.
12.Demonstrates inclusion through their own words and actions and is accountable for a safe workspace. Acts with kindness, curiosity and respect for others.
13.Understands and complies with ethical, legal and regulatory requirements applicable to our business.

核心职责：
1.通过设计和优化针对蛋白质建模和设计的先进机器学习算法（包括专有和开源模型）来推动创新。
2.分析来自高通量筛选活动和公共数据库的大规模生物数据集，以获取关键见解并加速研究目标的实现。
3.在日常工作中积极接受并融入Promega的ESI核心原则。
4.开发和应用用于蛋白质结构预测、蛋白质设计及相关生物信息学分析的计算模型，确保实现设计目标。
5.与实验科学家合作，将计算预测与实验室实验相结合。
6.创建和管理数据管道，确保实验和生物信息学数据的高效处理和分析。
7.利用高性能计算资源进行大规模数据分析和模型训练。
8.使用 Git 等工具确保代码和计算工作流程的可重现性和版本控制。
9.通过便捷的实施方案和培训，使内部用户能够高效掌握并应用计算工具。
10.及时了解生物信息学、计算生物学、蛋白质设计和机器学习领域的最新发展。
11.准备并向内部团队和外部利益相关者展示研究成果。
12.通过自身言行展现包容性，并确保安全的工作环境，以善意、好奇心和尊重他人的态度行事。
13.理解并遵守适用于公司业务的道德、法律和监管要求。

KEY QUALIFICATIONS:
1.Ph.D. or Master's degree (recent graduates from 985/211 institutions preferred), or equivalent professional experience in Bioinformatics, Computational Biology, Biophysics, Biochemistry, or a related field.
2.Strong programming skills in Python 3, with experience in bioinformatics and data science development.
3.Proficiency in applying AI/ML tools to protein modeling and protein design tasks.
4.Experience with machine learning model development and deployment of open source models, including familiarity with frameworks such as TensorFlow, Keras, Jax, or PyTorch.
5.Strong analytical and problem-solving skills, with the ability to explore complex biological data.
6.Excellent communication and teamwork skills, with the ability to collaborate effectively with cross-functional teams.

任职要求：
1.博士学位或硕士学位（985/211院校应届毕业生优先），或在生物信息学、计算生物学、生物物理学、生物化学或相关领域拥有同等的专业经验。
2.精通 Python 3 编程，并具备生物信息学和数据科学开发经验。
3.熟练掌握将AI/ML工具应用于蛋白质建模和蛋白质设计任务的能力。
4.具备机器学习模型开发和开源模型部署经验，包括熟悉TensorFlow、Keras、Jax或PyTorch等框架。
5.强大的分析和解决问题能力，能够探索复杂的生物数据。
6.出色的沟通能力和团队合作精神，能够与跨职能团队有效协作。

PREFERRED QUALIFICATIONS:
1.Experience with large language models (LLMs) or diffusion models, particularly in applications related to protein modeling, sequence generation, or structural prediction.
2.Experience with structural bioinformatics tools and databases (e.g., Rosetta, AlphaFold, PDB).
3.Knowledge of molecular dynamics simulations and related software (e.g., GROMACS, AMBER).
4.Use of molecular modeling, simulation, or machine learning for small molecule ligand or substrate design.
5.Experience with software/script version control (e.g., Git) and automated software pipeline workflows.
6.Experience with Linux-based compute cluster and/or cloud computing.
7.Prior experience in a research and development environment within the biotechnology or pharmaceutical industry.

优先资格：
1.具有大型语言模型（LLMs）或扩散模型方面的经验，尤其是与蛋白质建模、序列生成或结构预测相关的应用经验。
2.具有结构生物信息学工具和数据库（如Rosetta、AlphaFold、PDB）的使用经验。
3.具备分子动力学模拟及相关软件（如 GROMACS、AMBER）的知识。
4.具备使用分子建模、模拟或机器学习进行小分子配体或底物设计的经验。
5.具有软件/脚本版本控制（如 Git）和自动化软件管道工作流的经验。
6.具有 Linux 计算集群和/或云计算经验。
7.具有生物技术或制药行业的研发环境工作经验。

PHYSICAL DEMANDS:
1.Ability to operate a computer and remain stationary at a desk for extended period.
2.Ability to travel domestically for conferences, training, or collaborative projects.

身体要求：
1.需要长时间在办公桌前操作计算机。
2.根据需要参加国内会议、培训或合作项目的出差。