Software Engineer Intern, Genesis Therapeutics

Winter/Summer 2025

Salary not provided

San Francisco Bay Area

2+ days a week in office (Burlingame, CA)

Unifying AI and biotechnology for drug discovery

Job no longer available

Unifying AI and biotechnology for drug discovery

21-100 employees

HealthcareB2BArtificial IntelligenceDeep TechBiologyMachine LearningScienceMedTech

Job no longer available

Salary not provided

San Francisco Bay Area

2+ days a week in office (Burlingame, CA)

21-100 employees

HealthcareB2BArtificial IntelligenceDeep TechBiologyMachine LearningScienceMedTech

Company mission

To transform small molecule drug discovery to solve critical patient needs.

Job

Company

Role

Who you are

We are looking for engineers excited to help develop new medicines and play a critical role in building out our software platform
A strong software engineer who will write code quickly and uphold our code quality standards
A deep thinker who reasons from first principles over pattern matching
Interested in learning about biochemistry and the drug development process

What the job involves

Build and expand on tools for visualizing molecules and proteins, analyzing machine learning models, and managing complex chemical workflows
Work closely with machine learning engineers and medicinal chemists to develop and productionize new computational methods for molecular property prediction
Help scale our data infrastructure to handle billions of datapoints and thousands of parallel deep learning and molecular dynamics jobs

Our take

Genesis Therapeutics is at the forefront of advancing drug creation to foster better healthcare outcomes. the company offers an AI-powered molecule discovery platform, known as GEMS, designed to empower medical researchers. By seamlessly integrating AI with biotech, GEMS leverages deep learning and molecular simulations to explore uncharted territories within chemical space, unveiling novel opportunities for functional drugs.

Boasted to be the "industry's most advanced molecular AI platform", GEMS accelerates the discovery of small molecules while also enhancing potency and selectivity. This breakthrough capability not only expedites the development process but also paves the way for creating medications targeting previously inaccessible domains.

With significant funding backing its endeavours, Genesis Therapeutics is poised to transition into clinical testing. Moreover, the company aims to broaden the scope of its platform, extending its reach to encompass a wider array of therapeutic targets.

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

Few candidates hear
back within 2 weeks

Company

Funding (last 2 of 3 rounds)

Aug 2023

$224.1m

SERIES B

Dec 2020

$52m

SERIES A

Total funding: $280.2m

Company benefits

Stock Option Eligibility
401(k) Plan
Open PTO Policy
Paid Company Holidays
Free lunch and snacks at our offices
Health Care Plan, including Medical, Dental, and Vision, fully covered for the employees

Company HQ

Country Club Manor, Hillsborough, CA

Articles

After AI drug discovery pact with Genentech, Stanford spinout lines up $52M Series A round

Genesis Therapeutics Secures $52M Series A to Further Accelerate AI Innovation

Andreessen Co-Leads $200 Million Investment in Biotech Startup Genesis Therapeutics

Genesis Therapeutics Closes Oversubscribed $200 Million Series B

Gilead Therapeutics and Genesis Therapeutics Announced Strategic Collaboration to Discover and Develop Novel Therapies

Gilead and Genesis Therapeutics Announce Strategic Collaboration to Discover and Develop Novel Therapies

Leadership

Evan Feinberg

(CEO & Co-Founder)

PhD Graduate from Stanford, where they were an Algorithm Developer, collaborating with the Office of Technology Licensing to develop BraneRank (which uses graph substructures to rank search results). Was then a Deep Learning Consultant for Merck for 11 months.

Ben Sklaroff

(CTO & Co-Founder)

Graduated from UC Berkeley with a degree in Electrical Engineering and Computer Science. Worked at Markforged for 3 years, ultimately as Director of Software Engineering.

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