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 microscopy image datasets of cellular disease model systems and learn connections to patient disease phenotypes. As a Machine Learning Scientist with expertise in microscopy image analysis you will lead the development of cutting edge ML approaches to analyze data from multiple microscopy technologies and platforms. You will integrate in vitro imaging data produced in our lab with imaging studies of large-scale human cohorts to extract insights about disease mechanisms. You will also work closely with a cross-functional team of life scientists, bioengineers and machine learning scientists to integrate imaging data with other data modalities (such as clinical data and transcriptomics) to identify therapeutic targets and develop drugs that have high efficacy and low toxicity.
You will be joining as the founding team of a biotech startup that has long-term stability due to significant funding, but yet is very much in formation. 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!
Ph.D. in computational biology, computer science or a related discipline, or equivalent practical 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)
Experience applying or developing computer vision models using modern deep learning frameworks (TensorFlow, PyTorch, Keras, etc)
Proficiency in working with large-scale image datasets in Linux/Bash and Python
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 working with OpenCV, CUDA, OpenGL, etc
Experience working with various image file formats
Experience with microscopy data acquisition
Experience working with histopathology images
Familiarity with cloud computing services (e.g., AWS or GCP) 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)
Proficiency in C++ or other compiled, statically-typed languages
Benefits at insitro
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