JUNIOR LEVEL

How do you handle situations when experiments or assays do not produce the expected results?

Sample answer to the question

When experiments or assays do not produce the expected results, I first analyze the data to determine the possible reasons for the outcome. I review the experimental procedure, recheck calculations, and verify the quality control measures. If no obvious issues are found, I consult with my colleagues or supervisor to gather different perspectives and insights. I believe in the power of collaboration and brainstorming to identify potential problems and solutions. Additionally, I am not afraid to go back to the drawing board and redesign the experiments or assays if necessary. Ultimately, I view unexpected results as valuable learning opportunities that can lead to important discoveries or improvements in the scientific process.

A more solid answer

When experiments or assays do not produce the expected results, I follow a systematic approach to troubleshooting. First, I carefully review the experimental design to ensure proper controls, sample handling, and instrument calibration. I then analyze the data using statistical tools and data analysis software to identify any anomalies or trends. If no obvious issues are detected, I consult with my colleagues or supervisor to gather different perspectives and insights. Together, we brainstorm possible explanations and develop alternative hypotheses to investigate. In some cases, I may need to modify the experimental protocol, adjust parameters, or repeat the assay to further investigate the problem. Throughout this process, I maintain detailed documentation of my observations, methods, and results. This approach allows me to effectively identify the root cause of unexpected results and implement appropriate corrective actions.

Why this is a more solid answer:

The solid answer expands on the basic answer by providing specific details about the candidate's approach to handling situations when experiments or assays do not produce expected results. It demonstrates their ability to follow a systematic troubleshooting process, utilize statistical tools and data analysis software, seek collaboration and input from colleagues or supervisors, and maintain detailed documentation. The answer could be further improved by providing specific examples of how the candidate applied their problem-solving skills and worked effectively in a team in past experiences.

An exceptional answer

When experiments or assays do not produce the expected results, I believe in taking a proactive and comprehensive approach to identify the underlying factors. I start by thoroughly reviewing the experimental design, including variables, controls, and sample handling procedures, to ensure integrity and reproducibility. Next, I meticulously analyze the data using advanced statistical methods and data visualization techniques to uncover any potential patterns or outliers. If no immediate explanations arise, I collaborate with my colleagues, leveraging their diverse perspectives and expertise to brainstorm potential hypotheses. I believe that open and transparent communication is key during this process, as it allows for knowledge sharing and fosters a collaborative environment. Additionally, I actively seek feedback and guidance from senior researchers or subject matter experts, as their insights can provide invaluable guidance. In some cases, I may need to modify the experimental protocol or introduce new techniques to explore alternative approaches. Throughout the entire process, I maintain detailed records, documenting every step and decision taken. By embracing unexpected results as learning opportunities, I continuously strive to improve the scientific process and contribute to the generation of meaningful and impactful data.

Why this is an exceptional answer:

The exceptional answer goes above and beyond by providing a comprehensive and detailed response. It showcases the candidate's ability to thoroughly review experimental designs, utilize advanced statistical methods and data visualization techniques, collaborate effectively with colleagues, seek guidance from senior researchers or subject matter experts, and maintain detailed records. The answer demonstrates a proactive and growth-oriented mindset, highlighting the candidate's dedication to continuous improvement and generating impactful data. By emphasizing the importance of open communication and knowledge sharing, the candidate exhibits strong teamwork skills and a desire to contribute to a collaborative scientific environment.

How to prepare for this question

Familiarize yourself with different types of bioassays and their principles to have a solid foundation of knowledge.
Stay updated on the latest advancements in bioassay techniques and industry standards by regularly reading scientific literature and attending relevant conferences or webinars.
Develop your skills in data analysis and statistical tools, as they play a crucial role in interpreting and analyzing experimental results.
Practice documenting experimental procedures and results accurately and in a timely fashion to demonstrate your attention to detail.
Consider real-life scenarios or case studies where experiments or assays did not produce expected results, and think about how you would handle those situations based on your knowledge and skills.
Seek opportunities to collaborate with colleagues or work on team projects to enhance your ability to work effectively in a team setting.

What interviewers are evaluating

Working knowledge of bioassays and related laboratory techniques
Problem-solving skills
Ability to work effectively in a team
Attention to detail