Senior/Staff Research Engineer, Insitro

LLM Tools

$185-225.6k

Eligible for participation in our Annual Performance Bonus Plan (based on company targets by role level and annual company performance) and our Equity Incentive Plan, subject to the terms of those plans and associated policies

Python

Senior and Expert level

San Francisco Bay Area

Machine learning drug discovery & development

Job no longer available

Machine learning drug discovery & development

201-500 employees

B2BBiologyMachine Learning

Job no longer available

$185-225.6k

Python

Senior and Expert level

San Francisco Bay Area

201-500 employees

B2BBiologyMachine Learning

Company mission

To bring better drugs faster to the patients who can benefit most, through machine learning and data at scale.

Job

Company

Role

Who you are

M.S. in computer science, statistics, mathematics, physics, engineering, plus five years additional experience, or equivalent experience (for example, BS plus 7 years experience)
Experience working with applications of LLMs or other natural-language systems
Fluency in one or more general-purpose programming languages (strong preference for experience in scientific Python)
Experience working with teams throughout the full lifecycle of designing, implementing, deploying, and maintaining software, including deploying at least one real-world ML system
Strong desire to deliver work that aids in pioneering drug discovery!

Desirable

Experience training, shipping, and benchmarking large-scale ML systems, foundation models, or large language models (LLMs)
Experience with data modalities relevant to drug discovery, such as microscopy, genetics, or natural language, including patient records, and scientific literature
Experience working on ML experimentation tooling and platforms
Experience working with high-performance computing resources, such as GPU clusters
Past experience working on multi-functional teams
Previous open-source contributions or publications demonstrating impact in relevant projects

What the job involves

As a Research Engineer, you will help implement, validate, and deploy our largest and most complex methods and models
We work on a variety of problem domains and datasets, including multi-petabyte collections of high-content biological imaging, genomics, and biomolecular structures
To support insitro's work at this scale, our team is passionate about the craft of scientific software engineering, ensuring that our tools, infrastructure, and models are scalable, correct, maintainable, and robust
We are looking for an experienced engineer to help us harness the potential of recent improvements in large language models (LLMs) throughout the drug discovery process
You will work closely with our data scientists, software engineers, biologists, and laboratory scientists to identify, build, and deploy innovative internal tools and products based on LLMs
Potential projects might include providing natural-language data analytics to our scientists, querying scientific literature, or building co-pilots specialized to our ecosystem
While not required, some knowledge of biological or chemical data is valuable in understanding the unique requirements and applications of ML to biology and drug discovery

Our take

The synthetic biology market is rapidly growing, projected to increase from $10.7B in 2021 to over $74.7B by 2031. This growth is fueled by advances in biotechnology and expanding applications in healthcare, agriculture, and energy.

With these rapid advancements, insitro is seizing the opportunity to lead the way. The company is transforming drug discovery by combining machine learning with high-throughput biology. By using AI, insitro aims to overcome the bottlenecks of traditional methods, driving down costs and enabling the development of more effective treatments.

To help it on its mission, insitro secured strategic agreements in 2024 with Eli Lilly for metabolic disease treatments, and it also expanded its leadership in AI/ML. With this, the company is surely set to accelerate drug development, promising a future of faster and more effective treatments for patients.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Led by a woman

Top investors

28% employee growth in 12 months

Glassdoor (2.7)

Company

Funding (last 2 of 3 rounds)

Mar 2021

$400m

SERIES C

May 2020

$143m

SERIES B

Total funding: $643m

Company benefits

Complete Healthcare Coverage: Take your health seriously without worrying about the costs. insitro offers comprehensive coverage with low premiums for you and your family
Wellness Benefits: Prioritize your well-being beyond medical care. insitro offers a comprehensive range of benefits tailored to support all aspects of wellness
Mental Health Support: Our generous healthcare plans include access to digital mental health platforms with a range of services for you and your loved ones
Supportive Time Off Policies: Flexible vacation time, generous paid parental and bereavement leaves, and a year-end shutdown week
Support for Hybrid Work: Balance work and your personal commitments with in-person, hybrid and remote options based on the team and role. We support you with home office setup reimbursement as well as co-work space stipends for remote workers
Formal Learning and Training Programs: Partake in formal programs to help you grow and develop, from day 1 onboarding to new manager training to our annual, in vivo week
Self Development: Annual personal budget for books, external training, and conferences that nurture you professional passions and development interests
Access to Knowledge Leaders: Engage with in-house and visiting scholars and experts throughout the year at special events designed exclusively for insitrocytes
Extensive HQ Benefits: Our insitro HQ offers free daily meals via an onsite cafe and coffee shop, a free fitness facility, an onsite childcare center, and free commuter shuttle buses
Social Connection: get to know your colleagues at our weekly HQ happy hours, celebrations for special cultural events, and casual meet-ups for sports, music, outdoor activities, and more

Company HQ

The East Side, South San Francisco, CA

Leadership

Daphne Koller

(Founder & CEO)

Co-founder of engageli and previously Coursera. They also spent a year at CalicoLabs as the Chief Computing Ofificer and over 18 years at Stanford University as a Professor.

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