Job SummaryWe are a cutting-edge biotech company leveraging artificial intelligence for drug discovery. We are seeking a Full-Stack Developer to develop and maintain scalable web applications that bridge AI-driven insights with complex biological data. In this role, you will collaborate with data scientists and scientific teams to transform domain-specific needs into robust technology solutions.Key ResponsibilitiesDevelop and maintain full-stack applications using React.js (frontend) and Python (backend).Design and implement RESTful APIs and microservices for biological data workflows.Integrate AI/ML models into production systems in collaboration with data scientists.Optimize databases to efficiently manage large-scale biological datasets.Work closely with scientific teams to understand and implement biological and computational requirements.Ensure code quality, security, and performance through best practices and peer code reviews.Troubleshoot and resolve production issues, optimizing application performance.Maintain comprehensive technical documentation, including API specifications.Technical SkillsGenerative AI & Machine LearningExperience with GenAI frameworks, including:LangChain for LLM-based applications.LlamaIndex for data ingestion and querying.OpenAI API integration & prompt engineering.Proficiency in working with vector databases (e.g., Pinecone, Weaviate).Experience building Retrieval-Augmented Generation (RAG) applications.Familiarity with LLM fine-tuning and embedding models.Frontend DevelopmentProficient in React.js and modern JavaScript (ES6+).Strong grasp of HTML5, CSS3, responsive design, and UI frameworks.Experience with state management tools like Redux or Context API.Backend DevelopmentStrong programming skills in Python.Experience with Flask, Django, or FastAPI for API development.Solid understanding of RESTful API architecture and best practices.Databases & CloudExperience with SQL databases and query optimization.Familiarity with cloud platforms (AWS, GCP, or Azure).Exposure to containerization tools (Docker, Kubernetes).Preferred SkillsUnderstanding of bioinformatics concepts (a plus).Knowledge of data science libraries: Pandas, NumPy, Scikit-learn.Exposure to ML frameworks: TensorFlow, PyTorch.Experience with Server-Side Rendering (SSR) and Static Site Generation (SSG).Basic UI/UX design knowledge (Figma, Sketch nice to have).Strong communication and cross-functional collaboration skills.Ability to simplify and implement complex scientific workflows.QualificationsBachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.6–8 years of total experience, with 3–4 years in full-stack development.Mandatory: Prior experience in the biotech or life sciences industry.Strong analytical and problem-solving skills.

Job Summary:As a Medicinal Chemist, you will play a pivotal role in the design, synthesis, and optimization of novel drug candidates. This role requires scientific expertise, problem-solving skills, and hands-on laboratory experience to drive drug discovery projects from hit identification to lead optimization and preclinical development. You will work closely with cross-functional teams to develop innovative therapeutics that address unmet medical needs.Responsibilities:Design and synthesize novel small molecules to target specific disease indications.Planning and implementation of novel approach to drug discovery and development independently or in collaboration.Apply Structure-Activity Relationships (SAR) and Structure-Property Relationships (SPR) to optimize potency, selectivity, and pharmacokinetic properties.Collaborate with computational chemists, biologists, and pharmacologists to design and prioritize new chemical entities for synthesis and biological evaluation.Perform literature searches and analyze scientific literature to identify and implement new synthetic methodologies and technologies.Contribute to the preparation of patent applications, technical reports, and scientific publications.Use computational models and simulations to predict the behavior of new drugs and to guide the design of new compounds.Stay updated with emerging trends in AI-driven drug discovery and medicinal chemistry innovations.Understand Structure Activity Relationships and Structure Property Relationships of various projects.Qualifications and Skills:Ph.D. in Organic Chemistry, or related field. 10-13 years of industry experience in Life Sciences, R&D, CRO, biotech, or pharmaceutical settings. Strong background in synthetic organic chemistry, medicinal chemistry, and chemical biology. Proficiency in modern synthetic methods, purification techniques, and analytical instrumentation (e.g., NMR, LC-MS, HPLC). Demonstrated success in lead optimization and preclinical drug discovery. Familiarity with pharmaceutical industry practices and regulatory frameworks. Knowledge of AI-driven drug discovery methodologies is an advantage. Excellent problem-solving skills, scientific creativity, and a passion for innovation. Strong communication and interpersonal skills, with the ability to collaborate in a multidisciplinary environment.