Senior Scientific Software Developer (Cheminformatician)

As a Senior Scientific Software Developer at AQEMIA, your main responsibilities will include developing computational workflows for virtual screening and molecular property predictions, collaborating with AI and medicinal chemistry teams, maintaining the chemoinformatics infrastructure, and staying updated on the latest advancements in chemoinformatics.

To qualify for the Senior Scientific Software Developer role at AQEMIA, you need a Ph.D. or equivalent in Chemistry, Cheminformatics, or a related field, along with 4+ years of experience in cheminformatics and proficiency in Python, among other technical skills.

A Senior Scientific Software Developer at AQEMIA contributes by developing and applying computational techniques that support drug discovery initiatives. Their work streamlines processes such as virtual screening and library design, ultimately accelerating the identification and optimization of drug candidates.

AQEMIA utilizes a state-of-the-art technology stack, which includes Python, RDKit, and advanced molecular mechanics tools. Additionally, the proprietary platform integrates AI-driven and quantum-based predictions to enhance the drug discovery process.

The work culture at AQEMIA is dynamic and collaborative, emphasizing agile practices. Team members gather weekly to discuss objectives, share progress, and brainstorm solutions, fostering a supportive environment for innovation and professional growth.

A Senior Scientific Software Developer at AQEMIA will work on a range of projects focused on drug discovery, including virtual screening, molecular modeling, and the integration of advanced cheminformatics algorithms, directly impacting the development of innovative drug candidates.

Absolutely! At AQEMIA, there is significant potential for professional growth as the company is rapidly expanding and is dedicated to innovation in drug discovery. Your contributions will not only advance your career but also play a crucial role in the company's mission.

When answering this question, highlight specific projects where you utilized RDKit, detailing the methodologies you implemented and the outcomes. Discuss your understanding of molecular modeling and virtual screening to demonstrate your technical expertise.

Describe your systematic approach to developing computational pipelines, emphasizing your experience with Python and your focus on scalability and reproducibility. Include examples of challenges you faced and how you overcame them.

Discuss your communication style and how you bridge the gap between cheminformatics and medicinal chemistry. Cite specific examples of successful collaborations and the tools or techniques you used to facilitate effective communication.

Highlight recent trends or technologies in cheminformatics that excite you, such as the application of machine learning in drug discovery. Explain why these advancements are significant and how you envision applying them in your role.

To ensure reliability and efficiency, discuss your practices in maintaining and improving tooling architecture. Share your experiences with validation, performance testing, and gathering user feedback to enhance the tools you're responsible for.

Provide a specific example of a challenge you faced in cheminformatics and the step-by-step process you took to solve it. This demonstrates your problem-solving skills and technical proficiency.

Express your passion for drug discovery and its potential impact on patients' lives. Share personal experiences or your educational background that drives your commitment to this field.

Discuss the various resources you utilize to stay updated, such as attending conferences, reading journals, or participating in online communities dedicated to cheminformatics. Show your commitment to lifelong learning and professional development.

Specify the data visualization tools you're familiar with and provide examples of how you've used them to analyze cheminformatics data and communicate findings effectively to your team or stakeholders.

Explain your methods for prioritizing tasks and managing time effectively. Share strategies for clear communication with your team to align on priorities and project goals.