Bioinformatics Scientist, Dx - job 1 of 2

As a Bioinformatics Scientist at Tempus, you will contribute to designing diagnostic software systems, manage diagnostic test design in collaboration with sponsors, and communicate critical findings with scientific teams and leadership. Your role will also involve developing plans for investigational diagnostic testing and ensuring that all projects are documented meticulously.

To be considered for the Bioinformatics Scientist role at Tempus, you should ideally hold a Ph.D. or M.S. in a quantitative scientific discipline with a minimum of 3 years of relevant experience. Strong computational skills in Python, R, and knowledge of next-generation sequencing data are also crucial for this position.

Experience in regulated medical device development is highly valued for the Bioinformatics Scientist position at Tempus. This knowledge will help you navigate the complexities of compliance and quality assurance while developing diagnostic tests designed for clinical applications.

Candidates for the Bioinformatics Scientist role at Tempus should possess strong computational skills using Python, R, or Bioconductor. Experience with statistical modeling, cloud systems such as AWS, Azure, and GCP, as well as software development processes, will put you at an advantage in the application process.

Collaboration is a key component of the Bioinformatics Scientist role at Tempus. You will work alongside scientists, clinicians, and biopharma partners to develop diagnostic tests and ensure they meet both scientific and regulatory standards.

When answering this question, focus on specific projects you've undertaken, technologies you've used, such as NGS, and the outcomes of your analyses. Highlight any software tools employed and how they contributed to solving biological questions.

Discuss your experiences with languages like Python and R, emphasizing how you have utilized them in previous projects or research, especially in handling data processing, statistical analysis, or algorithm development relevant to genomics.

Detail the project scope, your role, specific challenges faced, and how you overcame them. Focus on your problem-solving skills and any team collaboration involved in reaching successful outcomes.

It's crucial to highlight your approach to validation and verification in research. Discuss methods for checking data integrity, the importance of reproducibility, and techniques used to maintain high standards in your analyses.

Express your familiarity with statistical analysis packages in R or Python, mentioning specific projects where you've applied these tools effectively. Include any metrics for success derived from your modeling.

Provide examples of how you've navigated regulatory requirements in past roles. Talk about documentation practices, compliance protocols, and how you kept quality assurance standards without compromising scientific integrity.

Discuss your methods for professional development, such as attending conferences, participating in webinars, reading latest journals, or enrolling in online courses that fortify your knowledge in bioinformatics.

Choose a specific instance where you had to simplify complex information. Explain the methods you used, whether visual aids or analogies, to convey your findings effectively to a varied audience.

Share your passion for science, technology, and healthcare. Highlight the impact of your work on improving patient outcomes and how it aligns with your belief in precision medicine's potential.

Discuss your experience working with professionals from different backgrounds. Describe your strategies for effective communication, listening, and integrating diverse perspectives into your bioinformatics projects.