10 months ago
Director of Computational Biology (Machine Learning, Epigenetics, DNA methylation)
We are currently seeking a Director of Computational Biology (Machine Learning, Epigenetics, DNA methylation) to join a biotechnology company that is creating innovations that will generate machine learning diagnostics to be used for cancer research. As the Director of Computational Biology (Neural Networks, Deep Learning, Medical) in our company, you will join us in our groundbreaking work towards the sustainability of human health.
Located in the Boston area, we are keen on bringing in some of the brightest and most talented engineers, researchers, and scientists to help us develop scientific methods that will innovate the medical field. Our company houses various ventures that each include leading technologists in their field. As the Director of Computational Biology (Machine Learning, Epigenetics, DNA methylation) you would be responsible for the management, design, and implementation of machine learning algorithms that are being used by a team of computational biologists.
Our ideal candidate would have a doctorate and expertise in either computer science, statistics, or bioinformatics, furthermore, an expert level understanding of machine learning techniques is a must-have. In addition to that educational background, the ideal candidate would have a background/experience as a leader, manager, and strong contributor in their field plus a passion to innovate medical breakthroughs. The goal for this role is to bring in a director that can build and lead a team through hands-on R&D assistance and leadership.
We can offer our Director of Computational Biology (Machine Learning, Epigenetics, DNA methylation):
- he freedom to explore unconventional ideas as we harness and achieve scientific breakthroughs
- A culture rooted in diversity that offers our employees the opportunity to work with some of the best scientists, engineers, and coders from around the globe
- The ability to work with highly resourceful team-players, while also having the ability to be extremely effective independently
- Expansive benefits, competitive salaries, and share options
Key Skills: PhD, computational biology, computer science, statistics, bioinformatics, machine learning, random forest, SVM, neural networks, C++, Java, Go, R, Python, TensorFlow, PyTorch, Theano, leadership, management