Biomedical Data Scientist

What you’ll be doing: 

• Lead biomedical data science and biostatistics efforts to analyze clinical and video datasets in strong collaboration with machine learning engineers and scientists

• Cross-functional collaboration with Clinical, scientific, and machine learning teams to analyze large-scale datasets  using bioinformatics and data science

• Develop high-quality computational methods and build scalable tools to enable data-driven approaches for retrospective and prospective trial studies

• Identify scientifically relevant findings within datasets and machine learning results spanning multiple modalities.

• Communicate findings both internally and externally and recommend follow-up actions.

Required Skills: 

• Ph.D. in biomedical engineering, bioinformatics, biostatistics, engineering, or other quantitative fields with practical experience in an industrial or research setting.

• Aptitude for collaborating cross-team and cross-functionally to specify and improve designs, estimate timelines, and deliver results.

• Working experience with R and Python program languages to analyze large high-dimensional and multi-modal datasets.

• Track record of conducting systematic and pragmatic analyses to formulate and test multiple important hypotheses.

• Strong written/verbal technical communication and interpersonal skills

Preferred Skills: 

• Strong publication record

• Start-up experience, 

• Life science experience

• Background in Gastroenterology

• Working knowledge of Cloud Computing (AWS), PostgreSQL, Docker

• Maintain deep knowledge of the relevant state-of-the-art methods

• Extensive experience with various services of Cloud Computing (AWS)

• Experience developing or validating deep learning models, preferably in Python using PyTorch.

• Experience with computer vision libraries such as Pillow, scikit-image, and OpenCV.