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Interview Guides/BigHat Biosciences
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BigHat BiosciencesCompany guide
Updated weekly · Reviewed by the Dataford team

BigHat Biosciences interview process & guide 2026

Interview difficulty 4.9 / 10Based on 54 interview reports

Everything we know about interviewing at BigHat Biosciences: the process stage by stage, what each round tests, and compensation by level.

Research ScientistData ScientistResearch AnalystMachine Learning EngineerSoftware Engineer
Practice BigHat Biosciences questionsSee the process

At a glance

4.9/ 10
Interview difficulty 4.9 / 10
Rated by candidates who reported interviewing here. Harder than 72% of companies we track.
5
Role guides
54
Interview reports
12
Topics tracked
$175k
Median total comp
4 rounds
  1. 1
    Recruiter Screen
  2. 2
    Technical Rounds
  3. 3
    Case Studies
  4. 4
    Leadership Panel
01 · Overview

Interviewing at BigHat Biosciences

BigHat Biosciences conducts a multi-stage interview process that is heavily focused on technical skills and real-world problem-solving. The process typically involves a recruiter screen, technical rounds, case studies, and a leadership panel. The company places a strong emphasis on aligning candidates with their strategic goals and cultural values.

The interview loop at BigHat Biosciences tests a range of skills, with a strong focus on Python programming, machine learning system design, and various aspects of protein and antibody engineering. Candidates can expect to engage with topics such as iterative optimization, predictive modeling, and the use of frameworks like PyTorch. The process is designed to assess both technical expertise and the ability to apply these skills to real-world biotech problems.

Candidates can expect a medium difficulty interview process, with a high offer rate of 74.1%. The timeline may vary, but candidates should be prepared for a series of technical evaluations followed by strategic discussions. Feedback is generally positive, with many candidates appreciating the thoroughness and relevance of the interview topics.

Good to know

The interview process at BigHat Biosciences is highly focused on real-world applications, particularly in the realm of protein and antibody engineering, making practical experience in these areas invaluable.

02 · Difficulty and outcomes

How hard is the BigHat Biosciences interview?

Aggregated from 54 interview experiences
Difficulty mix
Easy11%
Medium81%
Hard7%
Most loops land in the middle: hard enough to prep for, rarely brutal.
Offer rate
74%about 1 in 2

About 1 in 2 candidates with a known outcome convert.

40 offers across 54 reports with a stated outcome.
Experience sentiment
91%positive
Positive 91%Neutral 2%Negative 7%
03 · The loop

The interview process, end to end

4 rounds · based on 54 candidate reports
  1. 1
    Recruiter Screen

    This initial discussion aligns your goals and expectations with the company's needs. Be prepared to discuss your background and interest in the role.

    Alignment · Interest
  2. 2
    Technical Rounds

    Engage with team members to evaluate your technical capabilities. Focus on demonstrating your skills in Python, machine learning, and protein engineering.

    Python · Machine Learning · Protein Engineering
  3. 3
    Case Studies

    Solve case studies that reflect the actual work of the team. This stage tests your problem-solving abilities and practical application of technical skills.

    Problem Solving · Technical Application
  4. 4
    Leadership Panel

    Final evaluation of your ability to contribute to the company's long-term strategy and cultural growth. Prepare to discuss your vision and how you align with company values.

    Leadership · Cultural Fit
04 · Topic breakdown

What BigHat Biosciences actually tests for

How prominent each skill is across reported loops
100%
Python
100%
Take-home Coding Assignment
100%
Case study / technical exam
100%
Machine Learning Fundamentals
100%
Clinical/Discovery Medicine
96%
Machine Learning System Design (ML case studies)
96%
Coding Exercises
96%
End-to-End Machine Learning (ML) Solution Design
96%
CFPS Production
96%
Structured technical evaluation process
93%
Protein Engineering (antibody engineering)
62%
Problem Solving
Tested less
Tested more
05 · Role guides

Find the guide for your role

This is your next step: open the guide for the role you are interviewing for. Each one carries the questions BigHat Biosciences interviewers actually ask that position, the loop structure, and pay by level.

Most reported roles
Research Scientist
13 interview reports
Real questions · Loop structure · Pay bands
Open the guide
Data Scientist
8 interview reports
Real questions · Loop structure · Pay bands
Open the guide
Research Analyst
$75k-$113k total comp
Real questions · Loop structure · Pay bands
Open the guide
Showing 5 of 5 role guides
Machine Learning Engineer
$63k-$286k
Open guide
Software Engineer
$157k-$215k
Open guide
06 · Compensation

What BigHat Biosciences pays, by level

Estimated total compensation: base salary plus stock and annual cash bonus.

Median $175k
Level$50kTotal comp range$300kTotal
All levels
Base $75k-$281k
$63k-$286k
Ranges blend verified compensation data points. Base + stock + annual bonus shown. Estimates only.
07 · Insider tips

What separates offers from rejections

Patterns from candidates who got offers, and the mistakes that most often sink a loop.

Do this

  • Demonstrate strong proficiency in Python, as it is a key focus area in the interviews.
  • Prepare to discuss and solve case studies that mirror actual work performed by the team, showcasing your problem-solving skills.
  • Familiarize yourself with machine learning system design and frameworks like PyTorch, as these are prominent in the technical rounds.
  • Show your ability to align with the company's strategic goals and cultural values during the leadership panel.

Avoid this

  • Do not underestimate the importance of technical skills in protein and antibody engineering; lack of preparation in these areas can be detrimental.
  • Avoid being vague about your experience with machine learning and data management, as specific examples are crucial.
  • Do not neglect the importance of cultural fit; failing to demonstrate alignment with company values can hurt your chances.
  • Avoid overcomplicating your answers; clarity and precision in your technical explanations are key.
08 · FAQ

BigHat Biosciences interview FAQ

Answered from real candidate and workplace data
How difficult is the interview process at BigHat Biosciences?

The interview process is generally rated as medium difficulty, with 81.5% of candidates reporting this level.

What topics should I prioritize when preparing for the interview?

Focus on Python programming, machine learning system design, and protein/antibody engineering, as these are the most prominent topics.

How long does the interview process take?

The timeline can vary, but candidates should be prepared for multiple stages including technical and leadership evaluations.

What is the offer rate for candidates?

The offer rate at BigHat Biosciences is 74.1%, indicating a favorable outcome for many candidates.

Can I reapply if I am not successful the first time?

The data does not specify a reapplication policy, but it's generally advisable to gain additional experience before reapplying.

09 · Keep prepping

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