CADD-AIDD Research Scientist

Reporting to: Director of Computational Chemistry

Responsibilities

1. Apply knowledge of computational chemistry and medicinal chemistry to design and optimize small-molecule compounds, with practical experience in drug-likeness optimization (e.g., oral bioavailability, BBB permeability).

2. Collaborate closely with project teams to advance the research of small molecules, peptides, and antibodies, ensuring high-quality and timely project delivery.

3. Conduct target research, participate in project initiation, plan technical routes, and contribute to the full process of molecule design and optimization.

Qualifications

1. Education: Master’s degree or above.

2. Discipline: Bioinformatics, computational biology, computational chemistry, pharmaceutical sciences, or related fields.

3. Technical Expertise:

• Strong foundation in medicinal chemistry with hands-on experience in drug-likeness optimization.

• Proficiency in Linux, with programming skills in Shell, Python, etc.; practical experience using computational chemistry tools.

• Experience in using molecular dynamics to study GPCR mechanisms, kinase selectivity, or ion channel mechanisms is preferred; ability to independently analyze compound patents and build SAR based on simulation results.

4. Soft Skills: Strong sense of responsibility, teamwork spirit, willingness to take on challenges, and passion for learning emerging technologies.

Preferred Qualifications

1. Experience leading or significantly contributing to small-molecule optimization projects, especially with notable achievements in drug-likeness optimization; experience developing AI algorithms related to drug discovery (e.g., interaction prediction, molecular generation, developability prediction) is a strong plus.

2. Cross-disciplinary background combining medicinal chemistry, computational chemistry, computational biology, and artificial intelligence.

3. Familiarity with small-molecule or biologics drug development principles and the ability to apply them effectively in projects.

Core Requirements

1. Education & Experience

Required:

• Master’s degree or above in Biochemistry, Structural Biology, Computational Biology, Bioinformatics, Medicinal Chemistry, or related fields;

• Over 2 years of experience in computer-aided antibody drug design;

• Complete project experience in antibody design, including antibody modeling, antibody–antigen docking, humanization, affinity maturation, and developability optimization.

Preferred:

• Experience in antibody drug design or industrial project implementation;

• Candidates with immunology or molecular biology backgrounds are preferred.

2. Technical Skills

Core Skills:

• Proficient with traditional antibody design tools such as Rosetta;

• Skilled in using open-source AI tools (AlphaFold, IgFold, ABodyBuilder, DeepAb, etc.) for antibody structure prediction and optimization;

• Capable of integrating molecular dynamics simulations to analyze antibody stability and binding mechanisms;

• Familiar with antibody humanization, epitope prediction, and CDR design.

Nice-to-Haves:

• Experience developing or optimizing AI models using PyTorch or TensorFlow;

• Familiarity with high-throughput virtual screening or machine-learning-assisted antibody library design;

• Knowledge of experimental validation such as SPR and ELISA and how to cross-validate computational results.

3. Project Experience

Candidates with successful experience in the following areas are preferred:

• Immuno-oncology antibody design;

• Antiviral neutralizing antibody development;

• Bispecific or multispecific antibody engineering;

• Antibody stability or developability optimization.

4. Soft Skills

• Strong interdisciplinary collaboration skills with wet-lab and pharmacology teams;

• Strong interest in AI-driven drug design and ability to learn new technologies quickly;

• Clear logic and ability to propose innovative solutions to complex problems.

Work Location：Suzhou

Computational Small-Molecule Drug Design Engineer / Scientist

Reporting to: Director of Medicinal Chemistry

Core Requirements

1. Education & Experience

Required:

• Master’s degree or above in Medicinal Chemistry, Organic Chemistry, Computational Chemistry, Chemical Biology, or related fields;

• Over 1 year of experience in computer-aided small-molecule drug design, or over 3 years of experience in small-molecule synthesis;

• Experience in full-process small-molecule computational projects, including protein modeling, molecular docking, virtual screening, MD simulations, ADMET prediction, and molecular property optimization (activity, selectivity, etc.);

• Familiar with common target classes such as kinases, GPCRs, ion channels, and protein–protein interaction systems;

• Basic synthetic chemistry skills, able to independently design and execute medium-complexity synthetic routes;

• Strong patent and literature search capabilities.

Preferred:

• Experience in integrated small-molecule drug discovery projects (e.g., significantly improving activity or selectivity, or identifying superior hits);

• Familiarity with biological evaluation assays (enzyme activity assays, cell-based assays);

• Experience with antibody or peptide projects.

2. Technical Skills

Core Skills:

• Proficient in molecular docking, MD simulations, and commonly used molecular modeling tools;

• Familiar with small-molecule drug development workflows (virtual screening, ADMET prediction, developability optimization);

• Able to integrate computational and experimental data to optimize activity and selectivity;

• Practical experience in synthetic chemistry;

• Basic medicinal chemistry knowledge or related work experience.

Nice-to-Haves:

• Practical experience applying AI/ML in small-molecule design (e.g., generative models, activity prediction);

• Ability to utilize multiple high-throughput virtual screening methods;

• Experience in cross-validating computational and experimental data;

• Self-taught computational modeling with demonstrable results;

• Knowledge of one or more enhanced-sampling techniques;

• Programming ability in one or more languages such as Python or Shell.

3. Project Experience

Preferred experience includes:

• Drug design targeting kinases, GPCRs, ion channels, or PPIs;

• Fragment-based drug design (FBDD) or scaffold hopping with measurable property improvements;

• Applying AI/ML models in small-molecule design and obtaining experimentally validated results.

4. Soft Skills

• Strong learning ability, capable of quickly mastering new technologies (AI tools, new simulation algorithms);

• Effective interdisciplinary communication with synthesis and pharmacology teams;

• Clear logic and ability to propose innovative solutions to complex problems.

Work Location：Suzhou (short business trips to Hangzhou or Beijing as required)

Work Location: Suzhou / Beijing

(Compensation Structure: Base Salary + Position Salary + Performance Bonus; performance bonus includes client acquisition and deal-based incentives)

Responsibilities

1. Expand business resources, identify and screen potential cooperation opportunities, and support brand promotion;

2. Conduct market research according to business development plans, deliver accurate and timely research reports, and provide market feedback;

3. Assist in planning, drafting, reviewing, and executing project proposals, and participate in business negotiations;

4. Participate in project implementation, including supervision, coordination, progress tracking, and payment follow-up;

5. Participate in exhibition research, plan and budget for exhibitions, support booth setup and promotion, and evaluate exhibition performance;

6. Handle other business cooperation–related negotiation and implementation tasks.

Requirements

1. Master’s degree; gender not limited; age 25–35;

2. Major in Marketing, Business Administration, Economics, or related fields; candidates with biopharmaceutical industry experience preferred; outstanding bachelor-level candidates will also be considered;

3. This position focuses on business development in Europe and the U.S.; strong English listening, speaking, reading, and writing skills required; overseas study experience in Europe or the U.S. is a plus;

4. Understanding of domestic and international pharmaceutical companies, pharmaceutical products, and industry trends is preferred;

5. Strong stress tolerance, learning ability, adaptability, and communication skills; positive and proactive mindset;

6. Good physical health and willingness to travel.