Success at Tempus AI requires a synthesis of technical rigor and clear communication. You should approach your preparation by focusing on the "why" behind your work, not just the "how."

• Domain Expertise: You must be comfortable with medical terminology and the nuances of healthcare data. Refresh your knowledge on the specific therapeutic areas Tempus AI focuses on, such as oncology or rare diseases.
• Problem-Solving Frameworks: Use the STAR method (Situation, Task, Action, Result) for behavioral questions. For technical case studies, clearly articulate your thought process as you navigate the problem.
• Communication Skills: The ability to translate complex data into a narrative for clinicians or product managers is highly valued. Practice explaining a technical project in plain language.
• Alignment with Mission: Understand Tempus AI’s unique value proposition—the integration of AI with clinical data to improve patient care. Be prepared to discuss why this mission resonates with your career goals.

The interview process at Tempus AI is designed to be efficient yet thorough, typically involving a blend of screening calls and deeper technical discussions. You should expect a process that moves relatively quickly, with interviewers who are highly intelligent and genuinely interested in your background.

The flow generally begins with a recruiter or initial phone screen to verify your core skills and alignment with the job description. This is followed by one or more video interviews involving team members, which may include a case study component or a deep dive into your past projects. The focus remains consistent throughout: assessing whether you possess the technical depth to contribute immediately and the soft skills to thrive in a collaborative, cross-functional team.

The timeline above illustrates the progression from initial screening to team-based interviews. You should interpret this as a path that emphasizes both your individual technical contributions and your potential fit within the existing team culture. Use the time between stages to refine your examples and prepare thoughtful questions for your interviewers.

Technical & Domain Knowledge

This area evaluates your baseline capability to function in a high-complexity environment. You are expected to demonstrate proficiency not only in data analysis but also in understanding the limitations and regulatory context of medical data.

Be ready to go over:

• Medical Jargon: Familiarity with clinical terminology is essential for effective communication with internal clinical teams.
• Data Integrity: Understanding how to clean and validate sensitive health data.
• Advanced concepts: Familiarity with longitudinal patient data, genomic sequencing workflows, and statistical significance in clinical trials.

Example scenarios:

• "Walk me through how you would handle a discrepancy between genomic data and clinical outcomes."
• "How do you define success for a research project involving unstructured EHR data?"

Behavioral & Team Collaboration

Tempus AI places a high premium on candidates who can navigate ambiguity and collaborate across disciplines. Strong performance here involves showing maturity, emotional intelligence, and a proactive approach to conflict.

Be ready to go over:

• Conflict Resolution: Focus on how you maintained professionalism and reached a productive outcome.
• Adaptability: Discussing how you handle projects that do not go as planned.
• Advanced concepts: Mentorship, cross-team knowledge sharing, and contributing to a positive, high-performance culture.

Example scenarios:

• "Tell me about a time you disagreed with a technical decision made by your lead."
• "How do you handle feedback on your analysis from a team member with a different background?"

As a Research Analyst, you will serve as a bridge between raw data and clinical utility. Your primary responsibility is to conduct deep-dive analyses that empower our product and research teams. This involves rigorous data cleaning, statistical modeling, and the synthesis of findings into clear, actionable reports.

You will frequently collaborate with engineers and product managers to ensure that data pipelines are optimized for the research questions at hand. You will also participate in cross-functional meetings, where your ability to communicate the "so what" behind your data will be tested. Whether you are supporting a new diagnostic tool or refining an existing AI algorithm, your work acts as the foundation for the evidence-based solutions Tempus AI brings to the market.

A strong candidate for this role is typically someone with a background in data science, bioinformatics, or a related quantitative field. You need a blend of technical expertise and a genuine curiosity for the clinical application of AI.

• Must-have skills: Proficiency in programming languages like Python or R, experience with large-scale data manipulation, and a working knowledge of clinical or genomic data.
• Soft skills: Excellent written and verbal communication, the ability to work in a fast-paced environment, and a collaborative mindset.
• Nice-to-have skills: Prior experience in a clinical or biotech setting, familiarity with regulatory standards (e.g., HIPAA), and experience with cloud-based data environments.

Q: How difficult are the technical interviews? A: The difficulty is generally described as average, but the expectation for precision is high. Focus on being able to explain your methodology clearly rather than just arriving at the right answer.

Q: Will I need to know specific medical terminology? A: Yes. You don't need to be a doctor, but you must be able to communicate effectively with those who are. Brush up on the core terminology relevant to the specific department you are interviewing for.

Q: How long does the process take? A: Candidates often report a swift process, with interviews scheduled closely together. Expect to move from the initial screen to final interviews within a few weeks.

Q: What is the company culture like? A: The culture is described as professional, intelligent, and mission-driven. Team members are typically very engaged and interested in your personal motivation for joining the company.

• Prepare for the "Why": Be ready to clearly articulate why you want to work at Tempus AI specifically, rather than any other tech or biotech firm.
• Own your projects: Be prepared to discuss every line of a project on your resume. If you mention a specific method, know why you chose it over the alternatives.
• Be concise: During your interviews, aim for answers that are structured and to the point. Respect the interviewer's time by getting to the core of your response quickly.

The Research Analyst position at Tempus AI is a unique opportunity to contribute to the future of precision medicine. By combining your analytical skills with a deep understanding of clinical data, you will help bridge the gap between technical innovation and patient care.

Preparation is your greatest asset. Focus on mastering your past projects, understanding the medical context of your work, and practicing clear, structured communication. You have the potential to make a significant impact here; approach your interviews with confidence, curiosity, and a focus on how your skills can serve the Tempus AI mission. Explore additional insights on Dataford to further refine your strategy and head into your interviews fully prepared to succeed.