Bioinformatics Scientist, Solid Tumor

At Tempus, a Bioinformatics Scientist is expected to develop and optimize algorithms for analyzing cancer variation using next-generation sequencing data, validate oncology assays, and collaborate across interdisciplinary teams to improve clinical sequencing data analysis. You'll also document your findings in detail for high-quality project outputs.

To be a successful Bioinformatics Scientist at Tempus, candidates typically need to possess a Ph.D. in Bioinformatics, Computational Biology, or Genomics, or have 2+ years of relevant experience. Knowledge of programming languages such as Python or R, and familiarity with cloud systems will also set you up for success in this role.

The work environment at Tempus for a Bioinformatics Scientist is dynamic and collaborative, filled with innovative thinkers. You’ll work closely with scientists, clinicians, and engineers, all committed to translating research findings into clinically actionable insights. We emphasize teamwork and ongoing education to ensure all employees thrive in their roles.

Yes, experience in cancer genomics is highly relevant for the Bioinformatics Scientist position at Tempus. Being familiar with cancer genomics and next-generation sequencing data is essential, as your role involves developing algorithms that can positively impact cancer treatment outcomes.

As a Bioinformatics Scientist at Tempus, you can expect ample opportunities for career growth. Tempus encourages professional development and recognizes the potential for employees to advance as they contribute to pivotal projects in precision medicine. The supportive environment and diverse learning experiences here catalyze your career progression.

In answering this question, provide specific examples of projects you've worked on that involved next-generation sequencing. Detail your role, the challenges faced, and how you applied your computational skills to analyze the data successfully.

Highlight your experience with languages like Python, R, or Bioconductor. Discuss particular projects where you utilized these tools, the specific tasks you accomplished, and any insights gained that contributed to the project's success.

Explain your strategy for effective collaboration—such as initiating open communication lines, being receptive to feedback, and incorporating diverse perspectives. Examples of previous collaborative projects can support your answer.

Share a specific incident where you identified a gap in an algorithm or process. Describe the steps you took to optimize it, the methodologies used, and the positive outcomes that resulted from your improvements.

Discuss a specific challenge you faced, such as data complexity or software limitations. Focus on the solutions you developed, your thought process in tackling the issue, and what you learned from the experience.

Outline your role in a project leveraging cloud systems, the tasks you handled, and any specific tools or services used. Be sure to mention how the cloud environment facilitated your work on handling large datasets.

Share the resources you use, like journals, conferences, webinars, or online courses. Illustrate how this ongoing learning process helps you stay ahead in your field and integrated into the innovative environment at Tempus.

Share your personal connection to bioinformatics or cancer research. Speak about your passion for improving patient outcomes and how being part of a transformative company like Tempus excites you and aligns with your career goals.

Discuss techniques you use, like analogies or visual aids, to clarify complex concepts. Emphasize your proficiency in communicating insights to diverse audiences as a critical skill in your role as a Bioinformatics Scientist.

Detail the practices you follow for maintaining comprehensive documentation, like regular updates, consistent formats, and collaboration with team members to reflect their insights accurately, ensuring clarity and usability across cross-functional teams.