Grad Intern – Machine Learning Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Assist in the design, development, and testing of scalable data pipelines for the ingestion and transformation into enterprise data lakes and warehouses.

• Clean, prepare, and analyze both structured and unstructured data in collaboration with data engineers and scientists.

• Support the development and automation of model training, evaluation, and deployment pipelines.

• Explore and analyze pharmaceutical commercial datasets to derive data-driven insights.

• Engage in the design of visualizations and dashboards for internal stakeholders.

• Learn and implement hypothesis testing, regression, and classification techniques.

• Collaborate on the implementation and monitoring of machine learning models in production settings.

• Document technical processes, models, and tools used in projects.

• Experiment with data engineering and MLOps tools and techniques.

• Take part in agile ceremonies, including sprint planning and retrospectives.

⛳️ Requirements

• Must be available for a full-time schedule.

• Expected to remain enrolled in an accredited college or university following the internship program or co-op.

• Student must be based in the United States for the entirety of the internship program.

• Must be prepared to accept and commit to future full-time employment by July 2028, if offered.

• Must be at least 18 years old.

• Must hold a bachelor’s degree from an accredited college or university.

• Currently enrolled in an MBA, Master’s, PharmD, or Ph.D. program at an accredited institution and have completed the first year prior to the start of the internship.

• In the process of completing the first year of a Master’s program with a focus in Information Technology, Computer Science, Engineering, Business, or a related field.

• At least one year of relevant work experience.

• Experience in the biotechnology, pharmaceutical, or healthcare industries.

• Intermediate proficiency in Microsoft Word, Excel, and PowerPoint.

• Foundational experience in Python or R, including libraries such as pandas, NumPy, matplotlib, seaborn, scikit-learn, and XGBoost.

• Exposure to AWS, GCP, or Azure platforms.

• Basic understanding of SQL with experience querying relational or big data sources.

• Interest or coursework in Natural Language Processing (NLP), time-series analysis, or statistical modeling.

• Familiarity with Git and collaborative coding practices.

• Awareness of Databricks, Apache Spark, or Apache Airflow is advantageous.

• Strong interpersonal, project management, analytical, quantitative, and communication skills.

• Relevant coursework in Business Systems analysis, Lean, Agile (SCRUM), Software Development Life Cycle (SDLC), Software Development, Database Modeling, Web Design and Development, IT Management, cloud-based application management, B2B Collaboration, or enterprise systems.

• Candidates must be authorized to work in the U.S. for the duration of the program.

🏝️ Benefits

• Competitive benefits.

• Collaborative culture.

• Support for professional and personal growth and well-being.

• Opportunities for executive and social networking events.

• Community volunteer projects.

• Inclusive culture that values diversity of thought and experience.

• Reasonable accommodations for individuals with disabilities.