At BioSymetrics our mission is to develop leading Machine Learning technology to serve customers and corporate partners in healthcare, life sciences, biopharmaceutical, diagnostics, and precision medicine industries. Our team, which has grown steadily since founding in 2015, is based in New York, Boston, and Toronto. Our solutions and services are focused on the analytics of complex biomedical data, and the development of platform technologies for advanced, large-scale integrated and predictive analytics. Opportunity: We are seeking a Scientific Software Engineer to join our team.
This technology position is primarily responsible for developing applications and software that calls for competency and expertise in the Hadoop Framework, data-intensive machine learning, GPU programming (CUDA). Successful candidates will have a proven track record of success within entrepreneurial startup and technology environments and be familiar with machine learning methods. We are looking for an intelligent, team-oriented, and creative individual who is comfortable in the world of technology and data science, and wants to take part in developing our capabilities and market leadership in biomedical and healthcare AI and machine learning. Our company is made up of talented people who believe in teamwork and making a difference.
Since our founding, we have developed and launched Augusta , which is a machine learning and predictive modeling platform for massive and complex data in biomedicine. We have deployed this technology with clients in healthcare, pharmaceutical, and biotechnology sectors. Roles and Primary Responsibilities Building cutting-edge capacity in the machine learning space Enhancing the speed of existing preprocessing modules using CUDA capabilities. Building a customized Hadoop-based infrastructure.
Working with clients and collaborators on projects, case studies, and pilot applications or use cases Preparing reports and documentation to communicate outcomes and evaluate software capabilities Required Qualifications and Skills Expert in big data systems and infrastructure including Apache Spark, Hadoop, and distributed file systems Advanced skills in Python and Scala (or Java) Parallel programming Familiarity with CUDA programming Familiarity with tools, concepts and methodologies of analytics and machine learning Strong communication skills Attention to detail and ability to handle pressure and meet deadlines Skills in multi-tasking or prioritizing and triaging obligations Excellent time management and organization Excellent problem-solving and analytical skills Possess the ability to work both independently and within a team Masters degree (PhD preferred) and 3 or more years prior work experience We invite you to join us in building our company, and team. We offer great perks and benefits for our staff, including: Competitive base salary and stock options Engaging and productive team culture Focused, collegial, hard-working and talented co-workers