Role and Responsibilities:

1. Serve as a data scientific expert using advanced web-based technology to drive the discovery of new medicines.

2. Develop web application to perform computational chemistry/biology calculations and result analysis

3. Develop web-based visualization tools to analyze the bioactivity/ADMET data, QSAR

4. Collect, process, analyze and model chemical/biological data via database technology and application.

5. Assist on the development of cheminformatics/bioinformatics tools and machine learning model with the CADD team

6. Work closely with CADD/Medicinal chemistry teams.

Preferred qualifications:

1. Bachelor or above degree in cheminformatics / bioinformatics / computer science / statistics or closely related discipline.

2. Strong coding skills in at least one scientific programming language (Python, R, C++, etc).

3. Expertise in web UI design/Data visualization and web coding skills (HTML/CSS, PHP, JavaScript, front frame).

4. Familiar with database technology (MYSQL/MariaDB/PostgreSQL).

5. Experience with cheminformatics tools (Rdkit/Openbabel /CDK /Biopython et al.) is a plus.

6. Experience with machine learning/deep learning (sklearn, pytorch, tensorflow) is a plus.

7. Experience with molecular modeling (MD, QM, docking, virtual screening et al.) and CADD tools (MOE, Schrodinger, Knime, JChem, Spotfire, Plexus Connect) is a plus.

Key Responsibilities

Proactively provide guidance on the design and optimization of novel drug candidates using advanced computational techniques, including but not limited to:

• Apply structure-based and ligand-based drug design methods to drive project initiation and progression.

• Work closely with discovery scientists on molecular designs and prioritization of synthetic chemistry efforts.

• Identify and implement new computational chemistry and cheminformatics methods and apply them in drug discovery and development processes.

• Mentor junior scientists.

Required Experiences and Skills

• Extensive experience of using molecular modeling techniques for problem solving, including docking, homology modeling, ligand-based and structure-based design, quantum mechanics, QSAR / machine learning, molecular simulation.

• Experiences in complex problem solving through data mining and data analysis.

• Demonstrated understanding of all aspects of drug discovery including medicinal chemistry and ADMET/PKPD principles.

• Scientific programming (e.g. Python or Pipeline Pilot) is preferred.

• Excellent oral and written communication skills in either English or Chinese.

• Track record of publications and presentations.

Education

PhD. in computational chemistry, or chemistry, biochemistry, biophysics with a computational focus. More than 8 years of industrial experience preferred.

Required Experiences and Skills

• Creatively apply computational approaches to problem-solving to advance drug discovery programs.

• Experience of general molecular modeling techniques with software packages (e.g. MOE, OpenEye or Schrodinger), including docking, homology modeling, ligand-based and structure-based design, quantum mechanics, QSAR / machine learning, and molecular simulation.

• Scientific programming (e.g. Python, Pipeline Pilot) is preferred.

• Excellent oral and written communication skills.

• Track record of publications and presentations.

Education

PhD. in computational chemistry, or chemistry, biochemistry, biophysics with a computational focus. 

Primary Responsibilities

• Provide preclinical safety expertise and strategy for pre-clinical and clinical development programs from pre-clinical drug candidate selection to IND enabling and clinical trials

• Apply a broad understanding of toxicology, pharmacology, DMPK and regulatory sciences to design all types of toxicology studies required to support drug development of biopharmaceuticals

• Ensure that the preclinical safety plan is aligned with the clinical development plan and regulatory guidelines (ICH, FDA, GLP, etc.)

• Serve as Preclinical Safety team leader for multiple programs and contribute to the program’s goals and deliverables

• Identify and manage contract research laboratories (CRO) for preclinical safety studies; review reports; ensure they are using systems and processes in compliance with all relevant regulatory standards

• Write and review documents for INDs / regulatory section submissions; represent the company as the pre-clinical toxicology expert before regulatory authorities

• Serve as a subject matter expert to provide input for due diligence of potential external partnership programs

Qualifications

• 10+ years of combined toxicology, drug development and regulatory experience in a biotech, biopharmaceutical or CRO setting

• Extensive knowledge and expertise with in vitro and in vivo toxicology study conduct and reporting

• Familiar with applicable regulatory guidelines; prior experience with regulatory agency interactions is preferred

• Proven leadership and management skills, including the ability to interact effectively with CRO personnel and internal/external experts for the conduct of toxicology studies

• Good communication and technical writing skills in English. Capable of engaging in scientific dialog among large groups of scientists, senior management, and external scientific experts

Education

• Ph.D. or equivalent in Toxicology or closely related field

• Toxicology board certification is a plus

工作职责：

1、 负责临床试验机构立项和伦理上会的资料准备工作；

2、 管理公司临床试验TMF文档，如：临床试验研究资料的收集、扫描、复印、归档和维护等；

3、 负责临床试验项目的支持类工作，如试验所需设备的管理、物资的管理和调配、试验用药的管理等；

4、 临床试验相关会议和培训的协调与组织，如：研究会议的安排和整理会议纪要等；

5、 协助临床部负责人制定部门规范性文件，包括SOP的编辑，空白表格绘制等；

6、 协助项目经理进行项目进度管理（如整理项目进度，撰写会议纪要，更新项目管理表格等）；

7、 根据部门需要，完成其他上级交办的工作。

任职要求：

1、 拥有GCP资格证书优先，临床医学、药学相关专业本科以及以上学历；

2、 熟悉临床试验流程及国内相关法律法规；

3、 良好的中英文表达能力，能整理基本英文文件；

4、 熟练掌握Word、office等办公软件及临床试验常规涉及的设备；

5、 良好的表达能力、沟通和协调能力，有良好的服务意识以及较强的应变能力，具有较强的独立工作能力和团队合作精神；

6、 具有较好的信息收集能力，关注细节，具有良好的执行力。

工作职责：

1) 协助公司投融资及BD相关事务；

2) 负责信息搜集、行研分析等工作；

任职要求：

1) 国内知名大学生物、医学、药学等硕士及以上学位；

2) 2年以上医药BD, PE或者VC投资分析工作经验；

3) 英文工作能力强；

4) 有CPA CFA优先；