As a Medicinal Chemist, you will be instrumental in the development, synthesis, and enhancement of innovative drug candidates. Your role will call for a blend of scientific proficiency, analytical thinking, and practical laboratory experience to lead drug discovery projects from initial identification to advanced optimization and preclinical phases. Working in close collaboration with diverse teams, you will contribute towards the creation of cutting-edge therapeutics to meet the gaps in medical treatment. Your primary responsibilities will include: - Designing and synthesizing novel small molecules aimed at specific disease targets. - Strategizing and executing pioneering methodologies in drug discovery autonomously or in partnership. - Leveraging Structure-Activity Relationships (SAR) and Structure-Property Relationships (SPR) to refine efficacy, specificity, and pharmacokinetic characteristics. - Engaging with computational chemists, biologists, and pharmacologists to prioritize new chemical entities for synthesis and evaluation. - Conducting comprehensive literature assessments to adopt novel synthetic strategies and technologies. - Participating in the development of patent applications, technical documents, and scientific publications. - Employing computational models to anticipate the performance of new drugs and facilitate the design of fresh compounds. - Keeping abreast of evolving trends in AI-driven drug discovery and advancements in medicinal chemistry. To qualify for this role, you should possess: - A Ph.D. in Organic Chemistry or a related discipline. - Extensive industry experience spanning 10-13 years within Life Sciences, R&D, CRO, biotech, or pharmaceutical sectors. - Profound expertise in synthetic organic chemistry, medicinal chemistry, and chemical biology. - Proficiency in contemporary synthetic techniques, purification methodologies, and analytical tools such as NMR, LC-MS, and HPLC. - Demonstrated achievements in lead optimization and preclinical drug discovery. - Familiarity with pharmaceutical industry standards and regulatory landscapes. - Knowledge of AI-driven drug discovery techniques would be advantageous. - Exceptional problem-solving abilities, scientific ingenuity, and a fervor for innovation. - Strong communication and teamwork skills to thrive in a multidisciplinary environment.,
You will be a key member of our team as a Software Engineer specializing in AI. Your role will involve working at the cutting-edge intersection of advanced AI technologies and robust backend systems. We are seeking an individual with a strong background in Python development and a keen interest in creating scalable GenAI applications. Your primary responsibilities will revolve around designing, developing, and deploying backend services that support AI-driven systems and user experiences with a focus on LLM-based technologies. Your main tasks will include designing and implementing GenAI pipelines such as LLM orchestration, RAG, and multi-agent workflows using frameworks like LangChain, Agno, LlamaIndex, ReAct, AutoGen, or CrewAI. You will also be responsible for building and maintaining Python backend services utilizing FastAPI or Flask, creating APIs and microservices to expose LLM capabilities, integrating external data sources into AI workflows, and managing model selection, fine-tuning, and optimization for production use. Additionally, you will collaborate closely with product and design teams to translate user requirements into backend AI features. It would be advantageous if you have experience or interest in frontend technologies like React, Next.js, or Vue, as well as deploying applications in cloud environments using tools such as Docker, Kubernetes, and CI/CD pipelines. Familiarity with authentication systems, API gateways, and basic DevOps workflows is also a plus. Exposure to Python libraries for ML/AI such as Transformers, scikit-learn, PyTorch, and TensorFlow would be beneficial. To excel in this role, you should possess at least 4 years of professional experience in Python backend development and machine learning. Experience in building and deploying GenAI applications using LLMs and related orchestration frameworks is essential. A strong understanding of RESTful API design, backend architecture, vector databases, and FastAPI or Flask for production-grade services is required. Additionally, you should have a solid grasp of software engineering principles, testing methodologies, version control practices, and deployment procedures. A proactive mindset and the ability to thrive in dynamic environments are highly valued traits. We value individuals who exhibit ownership, pragmatism, curiosity, and collaboration. Ownership entails taking full responsibility for your work and outcomes, while pragmatism involves balancing innovation with reliability and scalability. Curiosity drives continuous learning and experimentation with new AI tools and trends, while collaboration fosters effective cross-disciplinary teamwork and clear communication. This position is offered as Contract-to-Hire, with the potential for full-time conversion based on your performance and fit within the team.,