Senior / Staff Scientist, Insitro
Applied Machine Learning
$211-283k
+ Annual Performance Bonus Plan + Equity Incentive Plan
2+ days a week in office
Machine learning drug discovery & development
Be an early applicant
Machine learning drug discovery & development
201-500 employees
Be an early applicant
$211-283k
+ Annual Performance Bonus Plan + Equity Incentive Plan
2+ days a week in office
201-500 employees
Company mission
To bring better drugs faster to the patients who can benefit most, through machine learning and data at scale.
Role
Who you are
- PhD in computational chemistry, computer science, machine learning, cheminformatics, or related field
- 3+ years of industry experience applying machine learning to small molecule drug discovery
- Strong programming skills in Python and modern deep learning frameworks (PyTorch or TensorFlow)
- Demonstrated expertise in developing geometric deep learning and/or generative AI methods for small molecules
- Proficiency with at least 1-2 cheminformatics toolkits (RDKit, OpenEye, or Schrödinger)
- Excellent communication skills with ability to translate technical concepts to diverse audiences
- A solid familiarity with small molecule drug discovery process and design methods (e.g., SAR, MPO, DMTL cycles, ADMET assays, in silico enumeration)
What the job involves
- We're looking for an Applied Machine Learning Scientist who will be hands-on using our ChemML platform to drive design on multiple therapeutic programs while directly contributing to the development of our ChemML platform and ML models
- This role offers an opportunity to translate cutting-edge ML into real-world impact on drug discovery
- This role will report to the Senior Manager, Molecular Machine Learning
- Work with industry-leading ADMET/In Vivo PK datasets to train and finetune foundation chemistry AI models
- Develop small molecule generative AI and enumeration methods conditioned using our ADMET/affinity models for multi-parameter optimization (MPO)
- Collaborate with software engineering teams to build robust pipelines for active/iterative learning and automated DMTL cycles
- Directly shape the roadmap for our ChemML platform's evolution
- Collaborate cross-functionally with machine learning scientists, medicinal chemists, and computational chemists to design and prioritize novel compounds using model outputs
- Apply predictive models and AI-enabled design methods to solve real molecular optimization challenges across multiple therapeutic programs
- Track performance of our binding affinity, selectivity, and ADMET/PK models on discovery programs and translate those insights into model improvements
- Communicate model capabilities, results, limitations, and recommendations clearly to diverse stakeholders in regular discovery team meetings
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 recently secured strategic agreements 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
28% employee growth in 12 months
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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