eClinical Solutions
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eClinical Solutions helps life sciences organizations around the world accelerate clinical development initiatives with expert data services and the elluminate Clinical Data Cloud – the foundation of digital trials. Together, the elluminate platform and digital data services give clients self-service access to all their data from one centralized location plus advanced analytics that help them make smarter, faster business decisions.
eClinical Solutions is expanding our Data Science team and we are seeking a highly skilled, creative, and driven Principal Data Scientist to design and build breakthrough approaches and solutions for our clients using clinical trial data.
As a Principal Data Scientist, you will be working in our Engineering team to deliver data-driven solutions for various aspects of our elluminate platform. You will work on projects that enhance the experience and efficiency of elluminate users by utilizing machine learning techniques.
Requirements
- Bachelor’s degree in computer science, Engineering, Math, Physics, or equivalent work experience preferred
- Excellent knowledge of English
- Strong primary expertise as data scientist, with the ability to stretch beyond one’s core field of expertise. Successful candidates share the following requirements:
- High-level knowledge of various machine learning techniques and key parameters that affect their performance
- 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.
- 5+ years of experience building secure, concurrent, distributed applications
- 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)
- Proven ability to work independently and with technical team members
- Excellent verbal and written communication skills
- Master’s or Ph.D in related discipline
- Expert in deep learning, distributed systems, and working with ‘big’ image data
- 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
To apply for this job please visit builtin.com.