Senior Bioinformatics Pipeline Developer

To be a successful candidate for the Senior Bioinformatics Pipeline Developer position at NeoGenomics, you should possess advanced skills in Python, experience with Docker, and have a solid understanding of HPC/cloud platforms. Additionally, a Ph.D. in bioinformatics or a related field, along with a minimum of seven years of relevant industry experience, is crucial. Comfort in working with software versioning systems and developing NGS data analysis pipelines is essential, too.

In the Senior Bioinformatics Pipeline Developer role at NeoGenomics, you will be responsible for developing and optimizing bioinformatics software. Your primary tasks involve enhancing existing solutions and creating new, scalable systems to improve patient care. You'll work with project stakeholders, manage timelines efficiently, and ensure your work aligns with industry regulations, all aimed at transforming cancer care through technology.

At NeoGenomics, the work environment for a Senior Bioinformatics Pipeline Developer is collaborative, innovative, and supportive. With a focus on career growth and employee empowerment, you’ll work from a remote location, giving you flexibility while still being part of a world-class culture. The company values your contributions and fosters an atmosphere that encourages ongoing learning and development.

Yes! The position of Senior Bioinformatics Pipeline Developer at NeoGenomics is fully remote. This means you can work from the comfort of your own home while still being a vital part of our dynamic team. The flexibility of remote work allows you to balance your professional and personal life effectively.

Candidates must have a Ph.D. in bioinformatics, computer science, or engineering, along with at least seven years of relevant experience in software development. Advanced proficiency in Python and experience with Docker are prerequisites, as well as a proven track record in developing software for cloud platforms and maintaining NGS data analysis pipelines.

As a Senior Bioinformatics Pipeline Developer at NeoGenomics, you will be engaged in projects aimed at developing and improving bioinformatics software for cancer diagnostics. This includes transforming R&D solutions into robust, scalable products suitable for industrial-grade operations, ensuring they meet quality standards in a regulated environment.

At NeoGenomics, growth opportunities for a Senior Bioinformatics Pipeline Developer are abundant. The company invests in its employees through internal career coaching, various training sessions, and a culture that promotes continuous learning. You'll have numerous chances to expand your knowledge and advance your career within a supportive environment focused on innovation.

When answering this question, be specific about the projects where you utilized Python for bioinformatics tasks. Highlight specific libraries or frameworks you've employed and discuss any challenges you faced and how you overcame them. Providing examples of both efficiency improvements or innovative solutions you implemented will strengthen your response.

Discuss your approach to prioritizing tasks, organizing workloads, and hitting deadlines. Mention tools or software you use for task management. It's great to highlight how you evaluate project durations and adjust your plans accordingly to ensure efficient progress, while also being open to seeking support if needed.

Explain the procedures you follow for validation and verification of software, such as conducting peer reviews, unit testing, and adhering to regulatory guidelines. Mention any specific standards you are familiar with, like ISO 13485, and how you ensure compliance while developing software.

Share your practical experience utilizing Docker for creating reproducible bioinformatics environments. Discuss any specific pipelines you've containerized and how this approach improved deployment and scalability of projects. If possible, share examples demonstrating the advantages Docker provided in your projects.

When discussing a challenging project, focus on both the technical challenges and how you collaborated with stakeholders. Talk about your problem-solving strategies, how you communicated with your team, and any innovative solutions you leveraged to tackle those challenges effectively.

Relate your experiences directly to bioinformatics as you elaborate on how you used AWS services such as EC2, S3, or Lambda. Discuss specific tasks you completed, challenges you overcame, and how these services helped optimize performance and efficiency within your bioinformatics projects.

Mention principles like load balancing, minimizing communication overhead, and optimizing resource utilization. Offering illustrative examples of past projects where you implemented these factors successfully will strengthen your answer and showcase your understanding of algorithm design.

Discuss your communication strategy when working with multi-disciplinary teams. Highlight your ability to articulate technical concepts to non-technical stakeholders, solicit feedback, and foster collaboration to ensure project success. Sharing instances where collaboration led to innovative solutions or improved outcomes will enhance your answer.

Discuss your experience with tools like Git or SVN, emphasizing the importance of version control in collaborative projects, tracking changes, and maintaining code integrity. Provide examples of how you've implemented version control in your past work, including strategies to manage branching, merging, and resolving conflicts.

Reflect on your passion for making a meaningful impact in healthcare and your desire to use technology to improve patient outcomes. Share personal experiences or inspirations that led you to pursue a career in bioinformatics, demonstrating your commitment to the mission of organizations like NeoGenomics.