BigHat Biosciences
BigHat Biosciences is a biotech startup that uses AI and lab experiments to design antibody drugs, with $99M in funding and 96 employees. It raised a Series B in mid-2022 from investors including Amgen Ventures and Andreessen Horowitz.
The growth story
BigHat Biosciences grew from 28 to 96 employees between 2021 and 2026, raising $99M along the way, most recently a Series B in July 2022.
About
BigHat combines machine learning with high-speed lab testing to engineer antibody treatments faster. Pharmaceutical companies and researchers use its platform to develop therapies for complex diseases.
The company has grown to nearly 100 staff since its 2019 founding. Its $99M Series B suggests strong investor confidence in its approach to accelerating drug discovery.
Founders and leadership
Research is the largest function with 36 staff, indicating a heavy focus on scientific development. The leadership team comes from biotech and AI backgrounds, with a median tenure of 2 years suggesting recent growth.
The BigHat Biosciences org chart
Peyton Greenside (CEO) leads 32 mapped leaders with 4 direct reports. Click +N to expand a team; names link to the person’s public profile.
Departments, and which ones grew
Headcount by function: Research 37 (-3% YoY), Engineering 23 (-4% YoY), Business Development 11 (+22% YoY), Operations 4 (+33% YoY), Human Resources 3 (+50% YoY), Information Technology 3 (0% YoY).
Talent flow
The team draws heavily from UCSF (8 hires) and companies like Color (7) and Verily (6). Alumni have gone to NVIDIA and several biotech startups, with 5 founding their own companies.
Most common previous employers of BigHat Biosciences staff: University of California, San Francisco (8), Color (7), Verily Health (6), Broad Institute of MIT and Harvard (6), Stanford University (5), Harvard Medical School (4). Former BigHat Biosciences employees most often moved to Protillion Biosciences (2), NVIDIA (2), LiquidCell Dx (1), Medium Biosciences (1), Botrista (1), Genscience (1).
Alumni worth knowing
The BigHat Biosciences mafia
Five alumni-founded companies exist, including General Biological (22 staff) and Anygraph (6 staff). This suggests successful knowledge transfer from BigHat's antibody engineering work.
5Abhi Godavarthi, was Machine Learning Intern until 2021Mohamed Hassan Kane, was Machine Learning Consultant until 2020Kameel Khabaz, was Intern, Data Science and Machine Learning until 2023Sanjay Nagaraj, was Data Science/Machine Learning Intern until 2022Hiring now
Web traffic
Traffic mix: 47% direct, 36% search, 8% social, 1% paid.
What this company is made of
Most common skills at BigHat Biosciences: Data Analysis (35), Research Skills (32), Python (Programming Language) (31), Molecular Biology (28), Leadership (28), Cell Culture (24), Microsoft Office (21), Project Management (20).
Where the team actually sits
BigHat Biosciences people are concentrated in California, United States (41), San Francisco Bay Area (23), United States (5), Massachusetts, United States (4).
Search footprint
BigHat Biosciences attracts about 145 organic search visits a month, traffic worth roughly $1K a month if bought through ads. It gained 50 ranking keywords and lost 11 in the last period.
What employees say
- Compensation
- 4.30 / 5
- Career opportunities
- 4.50 / 5
- Senior management
- 4.50 / 5
- Work-life balance
- 4.00 / 5
Frequently asked
BigHat Biosciences has 96 employees as of September 2026.
BigHat Biosciences has raised $99M in total, most recently a Series B round in July 2022.
BigHat Biosciences was founded in 2019 by Peyton Greenside.
Peyton Greenside (CEO) sits at the top of BigHat Biosciences's reporting structure, with 4 direct reports.
The most common previous employers of current BigHat Biosciences staff are University of California, San Francisco (8 people), Color (7 people), Verily Health (6 people).
Former BigHat Biosciences employees most often move to Protillion Biosciences (2), NVIDIA (2), LiquidCell Dx (1).
At least 5 companies have a founder who previously worked at BigHat Biosciences, including General Biological, Anygraph, Medium Biosciences.
BigHat Biosciences attracts about 145 organic search visits a month, worth roughly $1K a month in equivalent ad spend.
The most common skills among BigHat Biosciences staff are Data Analysis, Research Skills, Python (Programming Language), Molecular Biology, Leadership.
BigHat Biosciences staff are concentrated in California, United States (41), San Francisco Bay Area (23), United States (5).
BigHat Biosciences has about 37 people in Research, down 3% over the past year, as of September 2026.
BigHat Biosciences has about 23 people in Engineering, down 4% over the past year, as of September 2026.
Computed from 89 current and 90 former BigHat Biosciences profiles, as of September 2026. Source: Crustdata.
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