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.

The eClinical Solutions Engineering team has true greenfield opportunities for software engineers who want to develop innovative revenue-generating products that are revolutionizing the life sciences industry. You will work on a team that is developing enterprise-level clinical data software. At eClinical Solutions, you will be recognized and rewarded for your ideas and accomplishments, all while contributing to the latest disruptive technology incorporating modern software architectures, data science, and advanced analytics.

You will make an impact:

As the Principal Data Scientist, you will be primarily responsible for the design, implementation and support of machine learning enabled products for the company’s elluminate software platform. These products facilitate our clients’ work on clinical trials. You will need to have strong analytical and technical skills to design best practice AI/ML solutions in close collaboration with the company’s business clients. In addition, you will serve as a subject matter expert on the use of AI/ML for structured and unstructured clinical trials data both internally and with the company’s partners and clients.

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

Your day to day:

• Work with business stakeholders to design and build breakthrough approaches and solutions for our clients using AI/ML techniques
• Deliver end-to-end solutions, including demonstrating deep understanding of the problem, research of prior art, design, generation, and augmentation of datasets, and model training, testing, and deployment
• Work with the engineering team to deploy models in production environments and to track and identify any performance issues
• Assist internal and external teams in consuming the results of these AI/ML models
• Act as both senior technical contributor and mentor to provide technical guidance, training, and support to other members of a highly collaborative team

Take the first step towards your dream career. Here is what we are looking for in this role.

Qualifications:

• 10+ years of relevant work experience in data science and machine learning working with clinical trials, life sciences, or healthcare data preferred
• Doctorate or master’s degree in engineering, computer science, math, physics, or a related field preferred
• Track record of successful implementation of AI/ML models in real-world environments
• Ability to work with incomplete or messy data from disparate sources
• 3+ years of experience with Python preferred. Proficiency with SQL
• Experience with natural language processing, deep learning, and MLOps a plus
• Strong communication skills with both technical and non-technical audiences

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!

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: https://topworkplaces.com/company/eclinical-solutions/

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!

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.