About the Role
We are seeking a highly motivated AI Algorithm Engineer with expertise in peptide research to optimize peptide synthesis and material analysis through advanced AI and machine learning techniques. This role will drive innovation in peptide manufacturing and drug discovery.
If you are passionate about AI, peptide research, and driving innovations in material science, this is an excellent opportunity to contribute to groundbreaking projects in a rapidly growing industry.
Key Responsibilities
Algorithm Development: Design and implement AI algorithms (including machine learning and deep learning models) tailored to peptide synthesis, structure prediction, and property analysis.
Data Analysis: Analyze complex datasets related to peptide properties, reactions, and raw material compositions to derive insights for optimizing R&D processes.
Predictive Modeling: Develop predictive models to forecast peptide behavior, stability, and interactions based on molecular properties and environmental factors.
Process Optimization: Collaborate with cross-functional teams to improve the efficiency of peptide synthesis, including optimization of raw material use, reaction conditions, and quality control.
Integration of AI in R&D: Work closely with peptide chemists and material scientists to integrate AI-driven solutions into the peptide R&D pipeline.
Collaboration: Partner with internal and external teams (including computational biologists, chemists, and material scientists) to ensure AI models align with the scientific goals of the company.
Innovation: Stay updated on the latest developments in AI, machine learning, and peptide science, proposing and implementing novel algorithms and methods to solve complex problems.
Documentation & Reporting: Document and present research findings, algorithm performance, and improvements to stakeholders and team members regularly.
Requirements
Education: Master’s or PhD in Computer Science, Bioinformatics, Computational Biology, or a related field with a strong focus on AI, machine learning, and algorithms.
Experience working in R&D environments, preferably within the pharmaceutical, biotechnology, or chemical industries.
Previous involvement in AI-driven research projects for material science, molecular modeling, or peptides is a plus.
Knowledge or experience in peptide chemistry, molecular biology, or biochemistry is highly desirable.
Proven experience with machine learning and AI algorithm development, particularly in the field of bioinformatics, chemistry, or material science.
Proficiency in programming languages such as Python, R, or MATLAB, with experience in AI frameworks (TensorFlow, PyTorch, Scikit-learn).
Strong understanding of peptide synthesis, molecular dynamics, and raw material properties.
Familiarity with peptide sequence analysis, structure prediction tools, and molecular modeling software.
Excellent problem-solving skills with a creative and innovative mindset.
Strong communication skills and the ability to work effectively in a multidisciplinary team.
Attention to detail and ability to handle complex datasets.
Preferred Qualifications
Experience with peptide or protein structure databases, AI-driven drug discovery, peptide formulation, or material synthesis.
Benefits
Opportunity to work at the cutting edge of AI and biotechnology;
Collaborative and dynamic work environment;
Competitive salary and benefits package.