ML Scientist for Computer Vision, Microscopy (All levels)

The OpportunityImaging based phenotyping of in-vitro biology is at the heart of insitro’s efforts to accelerate drug development. At insitro we use machine learning to derive clinically relevant insights from rich datasets generated in-house. 
As a machine learning computer vision applied scientist  with emphasis on microscopy you will develop ML methods to process and analyze images from multiple microscopy modalities. You will integrate our in-vitro imaging data to modalities like transcriptomics and human cohort data in order to extract insights about disease mechanisms. You will be part of a cross-functional team of life scientists, bioengineers and machine learning scientists that strive to identify therapeutic targets and develop drugs of high efficacy and low toxicity.
You will be joining a vibrant biotech startup that has long-term stability, due to significant funding, and is in a high growth phase. A lot can change in this early and exciting phase, providing many opportunities for significant 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 computer vision, machine learning, computer science or a related discipline, or equivalent practical experience (e.g., a Master’s degree plus 2 years of relevant industry experience)- Effective in team-based software design and development- 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 (PyTorch, TensorFlow, Keras, etc)- Strong programming skills in Python, including processing TB-scale image datasets - 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- Demonstrated ability to write software in a team, industry experience or  substantial involvement with open source projects. - Experience modeling with video or imaging time-series datasets- Experience building infrastructure for image preprocessing- Experience with microscopy data acquisition - Some understanding of image formation models (Fourier optics)- Familiarity with cloud computing services (e.g., AWS or GCP)- Experience with database languages (e.g., SQL) - Publication record of meaningful contributions to high-quality work in relevant computer vision, clinical ML, or biomedical venues- Proficiency in C++/OpenCV/CUDA, or other compiled, statically-typed languages and related computer vision/graphics libraries

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- Flexible work schedule (on site and remote)About insitroinsitro 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.