Data Scientist

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<p>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. </p> <h3> </h3> <h3>OVERVIEW</h3> <p>eClinical Solutions is expanding our Data Science team and we are seeking a highly skilled, creative, and driven Senior Data Scientist to design and build breakthrough approaches and solutions for our clients using clinical trial data.</p> <p>As a Senior Data Scientist, you will take ownership for the design, implementation, and support of AI-enabled products for the company’s elluminate software platform. You will need strong analytical and technical skills in classical machine learning (ML), deep learning (DL), and large language models (LLMs). You will work in close collaboration with the company’s business clients and internal stakeholders, including the product and engineering teams. You will also serve as a mentor to other team members as we build AI-enabled products that enhance the experience and efficiency of elluminate users using structured and unstructured clinical trial data.</p> <p> </p> <h3>KEY TASKS & RESPONSIBILITIES</h3> <p>Our ideal candidate is an accomplished expert with deep technical credibility and implementation skills in the clinical trials and/or healthcare domains – the Senior Data Scientist: </p> <ul> <li>designs, prototypes, develops, and fields predictive models and analytical approaches that power a critical business function,</li> <li>has a track record of diving into data to discover hidden patterns and conducting error/deviation analysis</li> <li>has a track record of successful AI-enabled products that utilize ML, DL, and LLMs</li> </ul> <p>The role of the Principal Data Scientist will include the entire workflow of an AI project:</p> <ul> <li>from ensuring data quality throughout all stages of acquisition and processing,</li> <li>to the cleaning, visualizing, analyzing and building of predictive models with the data,</li> <li>to consulting with and assisting our internal and external stakeholders to consume the results of AI-enabled models</li> </ul> <p> </p> <p><strong>Preferred Qualifications</strong>:</p> <ul> <li>Minimum bachelor’s degree in Computer Science, Engineering, Math, Physics, or a related field. Master’s or PhD preferred.</li> <li>Track record of building successful products with ML, DL, and LLMs.</li> <li>Strong experience working with healthcare and/or clinical trial data.</li> <li>Strong Python and SQL skills.</li> <li>Some experience with MLOps preferred.</li> <li>Proven ability to work independently and with technical and non-technical team members.</li> <li>Excellent verbal and written communication</li> </ul> <p> </p> <p>Accelerate your skills and career within a fast-growing company while impacting the future of healthcare. We have shared our story, now we look forward to learning yours!</p> <p>eClinical is a winner of the 2023 Top Workplaces USA national award! We have also received numerous Culture Excellence Awards celebrating our exceptional company vision, values, and employee experience. See all the details here: <a href="https://topworkplaces.com/company/eclinical-solutions/">https://topworkplaces.com/company/eclinical-solutions/</a></p> <p>eClinical Solutions is a people first organization. Our inclusive culture values the contribution that diversity brings to our business. We celebrate individual experiences that connect us and that inspire innovation in our community. Our team seeks out opportunities to learn, grow and continuously improve. Bring your authentic self, you are welcome here!</p> <p>We are proud to be an equal opportunity employer that values diversity. Our management team is committed to the principle that employment decisions are based on qualifications, merit, culture fit and business need.</p> <p> </p>

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