Grad Intern – Machine Learning Engineer (Biotech)

Location: United States - Remote. Candidates must be located in the United States for the duration of the internship and authorized to work in the U.S.

Salary: $35.34–$41.20 per hour

Company

hirify.global is a biotechnology company developing and delivering medicines for serious illnesses across oncology, inflammation, general medicine, and rare disease.

What you will do

• Assist with designing, developing, and testing scalable data pipelines for enterprise data lakes and warehouses.
• Clean, prepare, and analyze structured and unstructured data with data engineers and scientists.
• Support automation of model training, evaluation, deployment, and production monitoring pipelines.
• Analyze pharmaceutical commercial datasets and create visualizations and dashboards for internal stakeholders.
• Apply statistical techniques including hypothesis testing, regression, and classification.
• Document technical processes, models, and tools while participating in agile ceremonies and MLOps experimentation.

Requirements

• Must be located in the United States for the full internship program.
• Must be authorized to work in the U.S.; sponsorship for future full-time roles is not guaranteed.
• Must be at least 18 years old, hold a bachelor's degree, and be enrolled in the first year of an accredited master's, MBA, PharmD, or Ph.D. program as applicable.
• Must be available for a full-time schedule and remain enrolled after the internship.
• Foundational experience with Python or R, data manipulation and visualization libraries, and machine learning libraries such as scikit-learn or XGBoost.
• Basic SQL, cloud platform exposure, Git familiarity, and strong analytical, quantitative, communication, and collaboration skills.

Nice to have

• Biotechnology, pharmaceutical, or healthcare industry experience.
• Interest or coursework in NLP, time-series analysis, or statistical modeling.
• Awareness of Databricks, Apache Spark, or Apache Airflow.
• Coursework in business systems, Agile/Scrum, software development, database modeling, cloud applications, or enterprise systems.

Culture & Benefits

• Collaborative, innovative, science-based working environment.
• Opportunities to build a professional network through executive and social networking events.
• Community volunteer projects and an inclusive culture valuing diverse perspectives.
• Competitive benefits supporting professional and personal growth.