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 Machine Learning Scientist , you will work as part of a world class team developing and deploying AI/ML solutions to transform clinical research. In this role, you will be responsible for delivering end-to-end solutions; from deeply understanding the problem and its characteristics, research of prior art, to design, generate and augment a dataset, training, testing, implementing, and embedding it within a production environment.

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

Your day to day:

• Work in technical teams to develop, deploy, and apply artificial intelligence techniques
• Perform exploratory and targeted data analyses using descriptive statistics and other methods

• Work with data engineers on data quality assessment, data cleaning, and data analytics
• Apply machine learning algorithms such as natural language processing, classification, cluster analysis, anomaly detection and multivariate regression
• Research and utilize new technologies
• Develop analytics to address customer needs and opportunities
• Work alongside software engineers and product managers to translate algorithms into commercially viable products and services.

• Collaborate with the Quality Assurance team to test the algorithms' functionality
• Provide technical guidance, training, and support to other team members
• Ensure compliance with eClinical Solutions and industry quality standards, regulations, guidelines, and procedures
• Manage multiple timelines and deliverables and managing client communications as assigned
• Other duties as assigned

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

Qualifications:

• 3+ years of working full time on ML/DL/CV/NLP tasks

• MS or PhD degree in STEM
• Demonstrated experience with at least three of the following frameworks: Pytorch, Scikit learn, TensorFlow, Keras, CoreNLP, Caffe
• Coding experience in Python of at least 3 years
• Working (closely) on at least three of the following problems: classification, detection, clustering, anomaly detection, genetic algorithms, NLP
• Experience productizing AI/ML solutions

• Team player and collaborator
• Strong communication skills and can explain sophisticated concepts to people outside the field
• Attitude for purpose-driven learning to solve business problems driving business value
• Demonstrate independence and project ownership
• Experience in ML Ops/Dev Ops is a plus

• Experience working on Pharma-related, or Fraud detection use cases is a plus
• Experience working with SQL Server database is a plus
• Knowledge of clinical trial data is a plus

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!

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.