BioTech Investors

Find BioTech investors actively deploying capital. VC Sift gives you direct access to email addresses and LinkedIn profiles for BioTech-focused venture capitalists, angels, and institutional investors at every stage.

4,602 investors
JA

James Arrowsmith

NVM Private Equity

Angel Investor
Seed Early Stage Investment Management Biotechnology Hospitality +7 more
LG

Lydia Green

Angel / Independent

Angel Investor
Seed Crypto Web3 Blockchain Marketplaces Security Privacy +5 more
DB

Demian Bellumio

Jnana Therapeutics

Angel Investor
Early Stage Biotechnology
PF

Peter Fenton

Angel / Independent

Angel Investor
Seed Early Stage Marketplaces Biotechnology Consumer Internet +3 more
AC

Alan Chan

Vectr Ventures

VC Firm
Seed Early Stage Crypto Web3 Blockchain Investment Management Biotechnology +7 more
MF

Michael Fritz

Angel / Independent

Angel Investor
Seed Biotechnology Digital Media Consumer Internet +5 more
ME

Marcelo Echeverria

Y Combinator Continuity Fund

VC Firm
Pre-Seed Seed Vr Metaverse Crypto Web3 Blockchain Small And Medium Businesses +7 more
SB

Susan Biglieri

Kleiner Perkins

Angel Investor
Pre-Seed Seed Crypto Web3 Blockchain Small And Medium Businesses Marketplaces +7 more
MW

Marc Weber

Apeiron Investment Group

Corporate VC
Pre-Seed Seed Biotechnology Healthcare Real Estate Technology +3 more
DP

Deborah Pascoe

Angel / Independent

Angel Investor
Seed Biotechnology
JP

James Petras

Early Stage Partners

Angel Investor
Seed Early Stage Investment Management Biotechnology Insurance +7 more
SG

Samara Gordon

Hyperplane

Angel Investor
Seed Early Stage Vr Metaverse Crypto Web3 Blockchain Marketplaces +7 more
PL

Peter Levine

Angel / Independent

Angel Investor
Seed Crypto Web3 Blockchain Data Databases Biotechnology +4 more
CH

Carolyne Holtorf

Good Growth Capital

VC Firm
Seed Early Stage Small And Medium Businesses Investment Management Analytics +7 more
LG
Angel Investor
Seed Early Stage Crypto Web3 Blockchain Data Databases Security Privacy +7 more
TK

Terence Karnal

Deerfield Management

Angel Investor
Seed Early Stage Investment Management Analytics Biotechnology +7 more
AI

Alex Iskold

2048 Ventures

VC Firm
Pre-Seed Seed Crypto Web3 Blockchain Small And Medium Businesses Marketplaces +7 more
BA

Brian Ascher

Venrock

Angel Investor
Seed Early Stage Crypto Web3 Blockchain Big Data Small And Medium Businesses +7 more
SS

Sravish Sridhar

TrustCloud

Angel Investor
Early Stage Biotechnology Digital Health Insurance +5 more
BS

Brian Singerman

Angel / Independent

Angel Investor
Seed Early Stage Biotechnology Space Travel Technology Healthcare Services +3 more
MG

Maikao Grare

Bolt Threads

Angel Investor
Early Stage Biotechnology
ME

Mike Edelhart

Angel / Independent

Angel Investor
Seed Biotechnology Internet Of Things Iot Healthcare Services +1 more
DK

Dhinakar Kompala

Angel / Independent

Angel Investor
Seed Biotechnology Manufacturing Life Sciences +1 more
JK

Jaclyn Kossmann

Applied Ventures

VC Firm
Seed Early Stage Big Data Investment Management Biotechnology +7 more
AS

Ari Shomair

Point Biopharma

Angel Investor
Early Stage Biotechnology

Frequently Asked Questions about Institutional LP Investors

VC Sift maintains a comprehensive list of BioTech investors across all stages, from pre-seed angels to growth-stage VC firms. Our database includes verified contact information for each investor.
The BioTech space includes investors active at every stage. Use our filters to narrow down by pre-seed, seed, Series A, and beyond to find the right stage match for your company.
Yes. VC Sift Essentials subscribers can export up to 1,000 BioTech investor contacts per month as a CSV file. Pro subscribers have unlimited exports.
Combine the BioTech sector filter with a country filter on the VC Sift search page to find investors matching both criteria. You can also browse our pre-built sector + country combo pages.
VC Sift validates email addresses and updates investor records on a rolling basis. We use a combination of automated verification and manual research to maintain data accuracy.