Senior Vice President of Machine Learning, Insitro
$300-375k
This role is 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
Machine learning drug discovery & development
Job no longer available
Machine learning drug discovery & development
201-500 employees
Job no longer available
$300-375k
This role is 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
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 technical field (Computer Science, Electrical Engineering, Bioinformatics, etc.) or equivalent practical experience
- Extensive experience with a broad spectrum of state-of-the-art ML methods, including probabilistic modeling and deep learning
- Significant familiarity with concepts in biology and medicine; experience working directly with biomedical data (genetics, omics, microscopy, clinical imaging) is a strong plus
- A strong track record in developing novel, cutting edge machine learning algorithms that go considerably beyond the use of standard methods, as demonstrated by publications in highly refereed venues or software platforms of comparable innovation
- 12+ years of work experience in a role involving ML method development for real world problems, ideally also in tasks that involve data at petabyte scale
- Demonstrated track record of building a top-notch ML team, including the ability to source, identify, recruit and effectively manage top talent
- 8+ years of experience leading a high-performance team, including setting a vision, and creating a culture of effective, high-quality methods development and reducing those methods to a practical implementation
- Ability to interact effectively across disciplinary boundaries, including with people from very diverse backgrounds
- A can-do attitude consistent with a small startup environment, including ability to move quickly, work hard, and do what it takes to be successful
- Passion for making a difference in the world
What the job involves
- In this leadership role, you will report directly to the CEO, and be a key member of insitro's executive team
- Guide your team to develop and deploy ML methods for analyzing and building predictive models for biology and chemistry discovery that build on state-of-the-art approaches, while also accounting for the unique needs of biomedical data
- Lead and continue to grow our world-class DSML team, including building and mentoring a strong layer of managers who exemplify effective internal and x-functional leadership
- Work with colleagues in the therapeutic areas and in drug discovery to enable the use of machine learning models to select therapeutic interventions that are safe and effective
- Work with biologists and automation engineers to design experiments that generate datasets that are fit for purpose for machine learning, including ones generated explicitly for training ML models
- Work with other executives to lead the scientific direction of the company, including identifying technologies, data modalities, and data sets that are synergistic with machine learning methods and provide differentiated value
- Lead yearly and quarterly planning, set impactful goals, and align with cross-functional stakeholders
- Work in partnership with the software engineering team to ensure that your team implements good software engineering practices and generates robust, reusable platform components
- Collaborate with colleagues in corporate development to generate and support high value collaborations with data or pharma partners
- Partner in building the larger insitro team, setting the culture, and building alignment with company values
- Help to continue to build and cultivate the Board and the Scientific Advisory Board to ensure open and productive communication
- Represent the company within the machine learning and computational biology communities so as to enhance company visibility and stature
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
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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