Senior Machine Learning Engineer
Apply NowCompany: eClinical Solutions
Location: Mansfield, MA 02048
Description:
eClinical Solutions helps life sciences organizations worldwide 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.
OVERVIEW
The Senior Machine Learning Engineer 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, and research of prior art, to designing, generating, and augmenting a dataset, training, testing, implementing, and embedding it within a production environment.
KEY TASKS & RESPONSIBILITIES
CANDIDATE'S PROFILE
Education & Experience
Professional Skills
Technical Skills
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.
OVERVIEW
The Senior Machine Learning Engineer 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, and research of prior art, to designing, generating, and augmenting a dataset, training, testing, implementing, and embedding it within a production environment.
KEY TASKS & RESPONSIBILITIES
- 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
CANDIDATE'S PROFILE
Education & Experience
- 5+ years of working full-time on ML/NLP tasks preferred
- Master's or PhD degree in STEM preferred
- Experience productizing AI/ML solutions
- Experience in ML Ops/Dev Ops is a required
- Experience working on Pharma-related, or Fraud detection use cases is a plus
- Experience working with SQL Server databases is a plus
- Experience taking an ML solution developed by another team member, productionizing, deploying, and optimizing performance regarding latency, memory and throughput.
- Experience monitoring ML solutions in production and debugging problems that occur.
- Experience building strategies for keeping version control of models and experiments.
- Knowledge of clinical trial data is a plus
Professional Skills
- 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
Technical Skills
- Demonstrated experience with at least three of the following frameworks: Pytorch, Scikit learn, TensorFlow, Keras, CoreNLP, Caffe
- Coding experience in Python and other high-level languages for at least 3 years
- Familiarity with common CS concepts such as Data Structures.
- Familiarity with best practices in Software Engineering.
- Familiarity with common Machine Learning frameworks such as Sagemaker and Scikit learn.
- Familiarity with common Machine Learning MLOps tools such as Databricks, Neptune.ai and Sagemaker Experiments.
- Experience running algorithms on various hardware such as CPU vs. GPU
- Experience with deployment tools such as Docker and scaling frameworks such as Kubernetes.
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.