Grad Intern – R&D, Data Sciences Operations & Analytic

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

📋 Description

• Assist in the digitization of vivarium operations by implementing data standardization, designing workflows, developing and deploying web applications, and conducting analytics.

• Analyze current room-log workflows.

• Establish standardized data and metadata frameworks.

• Design a prototype digital workflow to capture and analyze vivarium activities.

• Aid in the creation of a web application or tool dedicated to structured data capture.

• Develop a visualization and analytics system surrounding vivarium operational data to enhance the efficiency of laboratory scientists.

• Support the Data Sciences team in the normalization and harmonization of FAIR data.

• Collaborate with and communicate new digital workflows to end users and non-technical stakeholders.

⛳️ Requirements

• Availability to work full-time.

• Expected ongoing enrollment in an accredited college or university after completing the internship program/co-op.

• Students must reside in the United States for the entire duration of the internship program.

• Must be 18 years of age or older.

• Must have graduated with a bachelor’s degree from an accredited institution.

• Currently enrolled in an MBA program for an MBA internship, a Master’s program for a Master’s internship, a PharmD program for a PharmD internship, or a Ph.D. program for a Ph.D. internship from an accredited college or university.

• Completion of the first year of the MBA, Master’s, PharmD, or Ph.D. program prior to the start of the internship.

• Candidates must possess authorization to work in the U.S. throughout the program's duration.

• Degree concentrations in Data Sciences, Computer Science, Software Engineering, Business Analytics, or a related field are preferred.

• Strong understanding of FAIR data standards, with proven experience in data transformation and harmonization.

• Experience leveraging artificial intelligence for structured workflow development and analytic systems with human-in-the-loop verification.

• Familiarity with quality control and explainable AI methodologies.

• Experience in data extraction using Smartsheet.

• Experience working with DataBricks, Plotly, or Lovable.

• Proven experience in developing web applications, centralizing disparate data, and creating analytics dashboards.

• Outstanding communication skills and a dedication to reproducible, transparent research practices.

• Demonstrated willingness to take on new challenges and explore unfamiliar topics.

• A background in biology or pharmaceutical research is advantageous.

• Experience with version control (Git), code documentation, and transitioning applications to future development teams.

🏝️ Benefits

• Competitive benefits package.

• Collaborative work culture.

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

• Opportunities for executive and social networking events.

• Participation in community volunteer projects.

• Inclusive working environment.

• Reasonable accommodations available for individuals with disabilities.

• Chance to establish a lasting network of colleagues.