Computer Vision Machine Learning Engineer

insitro inc
South San Francisco, CA
Jan 05, 2022
Biotech Bay
Required Education
Position Type
Full time
The Opportunity
Imaging based high content phenotyping is at the heart of insitro’s efforts to rethink drug development. Our goal is to use machine learning to extract disease phenotypes from high throughput, high content, microscopy image datasets of cellular disease model systems and identify connections to clinical disease phenotypes. 

As a machine learning engineer with expertise in microscopy image analysis you will develop cutting edge ML approaches to analyze data from multiple microscopy technologies and platforms. You will integrate in vitro imaging data produced at insitro with other data modalities such as transcriptomics and data from large-scale human cohorts to extract insights about disease mechanisms. You will be part of a cross-functional team of life scientists, bioengineers and machine learning scientists to identify therapeutic targets and develop drugs that have high efficacy and low toxicity.

You will be joining a biotech startup that has long-term stability due to significant funding, providing many opportunities for meaningful impact. You will work closely with a very talented team, learn a broad range of skills, and help shape insitro’s culture, strategic direction, and outcomes. Join us, and help make a difference to patients!

About You
- Ph.D. in computational biology, computer science or a related discipline, or equivalent practical experience (e.g., a Master degree plus 2 years in relevant industry experience)
- Demonstrated ability to use and develop cutting edge methods for analyzing imaging data
- Extensive hands on experience working with microscopy data or similar biomedical or biophysical imaging modalities
- Experience developing models for diverse computer vision tasks (e.g. segmentation, recognition, classification, domain adaptation) including using modern deep learning frameworks (TensorFlow, PyTorch, Keras, etc)
- Proficiency in Python and working with large-scale image datasets 
- Ability to communicate effectively and collaborate with people of diverse backgrounds and job functions
- Passion for providing better medicine to patients in need 

Nice to Have
- Demonstrated ability to write software in a team, industry experience or  substantial involvement with open source projects. 
- Experience working with OpenCV, CUDA, OpenGL, etc
- Experience working with various image file formats
- Experience with microscopy data acquisition 
- Good understanding of image formation models (Fourier optics)
- Familiarity with cloud computing services (especially AWS) and workflow management tools or batch scheduling systems (e.g. SLURM)
- Experience with database languages (e.g., SQL) and experience with version control practices and tools (e.g. Git)
- Experience working with histopathology images
- Proficiency in C++ or other compiled, statically-typed languages

Benefits at insitro
- Excellent medical, dental, and vision coverage; insitro pays 100% of premiums for employees
- Excellent mental health and well-being support
- Open vacation policy
- Access to free onsite baristas and cafe with daily lunch and breakfast
- Access to free onsite fitness center
- Commuter benefits
- Paid parental leave
- Competitive pay and 401(k) matching
- This role may be based remotely, if preferred

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