Senior Data Scientist

I am working with a company that has a platform product that offers data services collectively in the cloud for clients. Need a Data Scientist that has previous development of this technical product that is used for advanced analytics in clinical studies.

Must have true product development experience and working with the software/platform engineers along with the development versus clinical trial experience as data scientist.

My own questions as I work the job:

• Have you worked in a product development role, specifically within an enterprise software environment.
• Have you designed and built breakthrough approaches and solutions for clients using clinical trial data.
• Have you had experience working in healthcare data in at least one prior role.
• Do you have -x-ray data? It’s a HUGE plus.
• Have you developed experimental and analytic plans for data modeling process?
• Have you worked at any of these companies? Viva, Medadata, Cluepoint?
• Need strong product development versus clinical trial experience as data scientist title.
• Also don’t see product development, enterprise software, application related experience.

Principal Data Scientist to design and build breakthrough approaches and solutions for our clients using clinical trial data.

Must collaborate with the Engineering team to create data-driven enhancements for the company platform (CLINICAL data cloud designed for life sciences focusing on data integration, review and analytics), utilizing machine learning techniques to improve user experience and operational efficiencies.

FULLY REMOTE*

Required:

• Bachelor's degree in computer science, Engineering, Math, Physics, or equivalent work experience preferred
• Master's or Ph.D in related discipline is a major plus!
• 5+ years of experience building secure, concurrent, distributed applications
• Expert in deep learning, distributed systems, and working with 'big' image data
• Ability to develop experimental and analytic plans for data modeling process
• Use of strong baselines, ability to accurately determine cause and effect relations
• Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.
• Experience in Computer Vision and Deep Learning (e.g., TensorFlow, Keras, Caffe, Torch, CNTK, MXNet)
• Proficient in SQL, and NoSQL databases (e.g., MongoDB, Cassandra, Redis, MySQL, PostgreSQL)
• Proficient in data science, analytics, or big data solutions (Hadoop, Spark, AWS, Python, etc)
• Strong Software Development Lifecycle experience (Agile methodology (Sprint) experience is a plus)
• Experience with general software release cycles/shipping machine learning or predictive analytics models at scale
• Strong troubleshooting skills and use of defect/feature management systems

FULLY REMOTE IN THE US - Paying $145,000 - $185,000 bust check all the boxes for the higher salary and there is a bonus.