BigHat Biosciences Data Scientist Interview Questions
& Process
Real candidates share what happened, how many rounds they had,
and how the experience turned out.
Based on 7 interview experiences · FREE TO READ
Candidate interview experiences
First-hand accounts from people who interviewed at BigHat Biosciences.
BigHat Biosciences
Data Scientist
Entry Easy Positive experience No offer 2 rounds
Interview process
Recruiter call Technical screen
Interview formats
Technical Behavioral
Got a call from HR to set up an interview for that week. The hiring manager interviewed me the next day, and then I had a technical screen the week after. I didn't pass the first technical interview. I felt like their technical screen for Data Scientists was more focused on candidates with a biology background, particularly in proteins, and some stats/data analysis knowledge.
Confirmed questions2 questions
- Can you tell me about a project you worked on and what you would change if you could do it over?
- Could you describe a past project and one thing you'd alter in hindsight?
BigHat Biosciences
Data Scientist
Mid Average Neutral experience No offer 4 rounds
Interview process
Recruiter call Technical screen Onsite Background check Offer
Interview formats
Technical Behavioral
The interview process was pretty standard for a biotech company, nothing out of the ordinary. There were a good number of case studies and discussions about my background with the team members. Everything was conducted on Zoom and on time. Overall, it was a good experience.
Confirmed questions1 question
- Can you tell me which databases you have experience with?
BigHat Biosciences
Data Scientist
Mid Average Positive experience Accept offer 4 rounds
Interview process
Recruiter call Take home Technical screen Onsite
Interview formats
Behavioral Technical Coding Presentation
The interview process had a few parts. First, there were two chats with the Head of Talent and hiring manager about my experience. Then, I had a coding test to do at home, which should have taken 1-3 hours. After that, there was a 45-minute session where I had to act like I was working on a data science project for the company. Lastly, I had a full-panel day with multiple 30-minute 1:1 interviews with various people from different teams. It all went smoothly and felt well-organized. The technical parts helped me see what the job would be like. I got lots of chances to ask questions about the company and the role, and they answered everything thoroughly. It was a really well-put-together process.
Confirmed questions2 questions
- Can you explain PCA (principal component analysis)?
- When analyzing an RNAseq experiment, what two factors would be important to consider?
BigHat Biosciences Data Scientist Interview Questions
Quoted word for word from BigHat Biosciences interview reports.
“When analyzing an RNAseq experiment, what two factors would be important to consider?”
Read reports →“Can you explain a situation where a linear mixed effects model would be appropriate and what its underlying assumptions are?”
Read reports →“Can you explain PCA (principal component analysis)?”
Read reports →“Can you set up hypothetical experimental situations?”
Read reports →“What are your ideas for improving experimental design?”
Read report →“Given experimental scenarios, how would you analyze the data?”
Read report →“Have you ever had to explain difficult scientific concepts to engineers who aren't from a science background?”
Read report →“Can you tell me which databases you have experience with?”
Read report →“Can you tell me about a time you developed a data processing pipeline for a scientific query?”
Read report →Formats, difficulty and experience
Across all 7 BigHat Biosciences interview reports.