At EVERSANA, we are proud to be certified as a Great Place to Work across the globe. We’re fueled by our vision to create a healthier world. Our global team of more than 7,000 employees is committed to creating and delivering next-generation commercialization services to the life sciences industry. We serve more than 650 clients ranging from innovative biotech start-ups to established pharmaceutical companies. Our products, services, and solutions help bring innovative therapies to market and support the patients who depend on them.
Across our growing organization, we embrace diversity in backgrounds and experiences. Improving patient lives around the world is a priority, and we need people from all backgrounds and walks of life to help build the future of healthcare and the life sciences industry. Our team culture is inclusive and embraces our cultural beliefs. We look for team members with strong aptitudes who care deeply about EVERSANA, our people, clients, and the patients we serve.
Job Description
The position of Senior Associate, reporting to Associate Director - Engineering, entails designing, developing, and maintaining scalable data pipelines and data infrastructure. The role involves close collaboration with data scientists, analysts, and other stakeholders to ensure efficient, reliable data systems that support complex analytical queries. Responsibilities include:
- Designing, building, and maintaining scalable data pipelines for machine learning model data flow.
- Collaborating with data scientists to ensure high-quality data for model training.
- Deploying machine learning models to production using tools like TensorFlow Serving, MLflow, or Seldon.
- Monitoring machine learning models in production for performance issues such as data drift or concept drift.
- Working with large datasets using frameworks like Apache Spark, Apache Kafka, and AWS Glue.
- Managing data versioning and experiment tracking using tools such as DVC and MLflow.
- Ensuring data integrity and quality through validation and profiling techniques.
Qualifications
Requirements include proficiency in Python and SQL, with Scala or Java as a plus; strong experience with Apache Spark, Apache Kafka, and other data processing frameworks; experience deploying machine learning models using TensorFlow Serving, MLflow, or similar tools; familiarity with data lakes and warehouses (AWS S3, Google BigQuery, Snowflake); experience with cloud platforms (AWS, GCP, Azure) and containerization tools like Docker and Kubernetes; understanding of machine learning workflows and collaboration with data scientists and ML engineers; strong knowledge of ETL processes, batch and real-time data processing, and orchestration tools like Apache Airflow.
Educational qualifications include a bachelor’s degree in engineering, technology, or computer science and 5+ years of relevant industry experience in healthcare, pharmaceutical consulting, or enterprise-level data analytical solutions.
Additional Information
EVERSANA’s cultural beliefs emphasize being patient-minded, client-focused, action-oriented, talent-growing, collaborative, communicative, diverse, and innovative. The company is aware of recruitment fraud and clarifies that it never requests personal information or payment during the employment process.
EVERSANA is an Equal Opportunity Employer that values diversity, equity, and inclusion across various identities and experiences. The company invites candidates passionate about improving patient lives and driving innovation in healthcare to join their team.
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To express interest in the Data Engineer position at EVERSANA, candidates can apply through the SmartRecruiters platform using the provided link on the job posting page.