The Opportunity
Global drug development productivity is declining exponentially, with an overall failure to develop effective treatments for many increasingly prevalent complex diseases affecting millions of patients per year. We seek to solve this by combining cutting-edge machine learning techniques with recent advances in life sciences to drastically improve how drugs are discovered and developed.
This summer we are looking for highly motivated interns looking to work at the intersection of machine learning and life sciences. As a core imaging intern, you will develop ML methods to process and analyze images from multiple microscopy modalities and integrate our in-vitro imaging data to extract insights about disease mechanisms.
Insitro has a highly dynamic and collaborative culture in a custom-built open office in South San Francisco. You will work closely with machine learning engineers and scientists, biologists, chemists, microscopy experts, and automation engineers. You will be mentored by one of our senior researchers, who has significant experience in machine learning for Computer Vision and disease modeling. You will also attend our machine learning team meetings and will be exposed to a diverse set of novel technologies and machine learning concepts that tackle various biological questions.
Join us, and help make a difference to patients!
About You
- Working towards a BS, MS, or Ph.D. in an engineering, computer science, mathematics, statistics, life science, chemistry, physics, or a related discipline
- Proficiency in one or more general-purpose programming languages. We primarily use Python
- Demonstrated ability to use and develop cutting edge statistical and machine learning methods inspired by real problems
- Demonstrated ability to write high-quality, production-ready code (readable, well-tested, with well-designed APIs)
- Experience with Machine and Deep Learning frameworks (e.g., scikit-learn, PyTorch, etc.)
- Ability to communicate effectively and collaborate with people of diverse backgrounds and job functions
- Passion for making a difference in the world
Nice to Have
- Experience with Computer Vision libraries (e.g., OpenCV, scikit-image, etc.)
- Experience in Linux environment, database languages (e.g., SQL, No-SQL) and version control practices and tools such as Git or Mercurial
- Familiarity with the SciPy/PyData ecosystem (numpy, pandas, scipy, dask etc.)
- Familiarity with cloud computing services (AWS or GCP)
Compensation & Benefits at insitro
Our target starting salary for successful US-based applicants for this role is $50 - $55 per hour. To determine starting pay, we consider multiple job-related factors including a candidate’s skills, education and experience, the level at which they are actually hired, market demand, business needs, and internal parity. We may also adjust this range in the future based on market data.
In addition, insitro also provides our interns:
- Excellent medical, dental, and vision coverage; insitro pays 100% of premiums for employees
- Excellent mental health and well-being support
- Access to free onsite baristas and cafe with daily lunch and breakfast
- Access to free onsite fitness center
- Commuter benefits
- Competitive pay
- Flexible work schedule (on site and remote)
About insitro
insitro is a data-driven drug discovery and development company using machine learning and data at scale to transform the way that drugs are discovered and developed for patients. insitro is developing predictive machine learning models to discover underlying biologic state based on human cohort data and in-house generated cellular data at scale. These predictive models can be brought to bear on key bottlenecks in pharmaceutical R&D to advance novel targets and patient biomarkers, design therapeutics, and inform clinical strategy. insitro is advancing a wholly owned and partnered pipeline of biologic insights and molecules in neuroscience and metabolic diseases. Since formation in mid 2018, insitro has raised over $700 million from top tech, biotech, and crossover investors and from collaborations with pharmaceutical partners. For more information on insitro, please visit the company’s website at www.insitro.com .