Principal Data Scientist

March 26

🍂 Massachusetts – Remote

Although this job is listed in Massachusetts, this company may be open to hiring remote in other states.

⏰ Full Time

🔴 Lead

📊 Data Scientist

🦅 H1B Visa Sponsor

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eClinical Solutions

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eClinical Solutions is a clinical data management company that provides integrated data review and management solutions for the biotech and pharmaceutical industries. Their platform, elluminate, empowers organizations to modernize and automate their clinical data workflows, ensuring efficient data acquisition, management, and analysis. By leveraging advanced analytics and technology-driven approaches, eClinical Solutions helps streamline trial operations and improve productivity, enabling better decision-making in clinical research.

Clinical Data Management • EDC Services • Statistical Programming • Clinical Data Reporting and Analytics • Clinical Data Repository Development and Management

201 - 500 employees

Founded 2012

🧬 Biotechnology

💊 Pharmaceuticals

⚕️ Healthcare Insurance

💰 Private Equity Round on 2020-01

📋 Description

• 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. • 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. • Accelerate your skills and career within a fast-growing company while impacting the future of healthcare.

🎯 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. • 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