CAS 2027 Bioinformatics Scientist Summer Intern

CAS

Columbus (OH)

On-site

USD 18,000 - 22,000

Full time

2 days ago
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Job summary

CAS invites the next generation of bioinformatics and computational biology talents to join its Summer Intern Program in the United States. You will analyze and visualize complex datasets from drug development and related biology areas, helping harmonize data for products and pipelines.

You will collaborate across teams, build influential relationships, and participate in ongoing training to stay ahead of trends in the field.

Qualifications

  • Pursuing a degree in bioinformatics, computational biology, biostatistics, or closely related field.
  • Proficiency in R or Python within a Unix-like environment.
  • Strong problem-solving and critical-thinking skills.
  • Excellent communication, collaboration, and data presentation skills.
  • Background in molecular biology, immunology, genetics, or related biomedical domains is a plus.
  • Experience with GitHub, Java, Linux and pathway visualization software (Pathview, GSEA) is a plus.
  • Experience applying machine learning to large datasets is a plus.
  • Familiarity with data modeling is a plus.
  • Ability to work independently as well as part of a team.

Responsibilities

  • Support analysis, visualization and interpretation of a drug development, medical biology, or related dataset.
  • Support harmonization, normalization, or enhancement of CAS content for delivery to products, content pipelines, or business solutions.
  • Connect across the organization through the Summer Intern Program to build influential working relationships.
  • Stay abreast of the latest trends through individual and team training opportunities.

Skills

R or Python
Problem-solving
Communication
GitHub
Java
Linux
Pathview/GSEA
Machine learning
Data modeling
Team work

Education

Bioinformatics/Computational biology/Biostatistics degree (pursuing)

Tools

GitHub
Java
Linux
Pathview
GSEA

Job description

CAS uses intuitive technology, unparalleled scientific content and unmatched human expertise to help companies create groundbreaking innovations that benefit the world. As the scientific information solutions division of the American Chemical Society, CAS manages the largest curated reservoir of scientific knowledge, and for over 117 years, has helped innovators mine, assess and apply that information to keep businesses thriving. The CAS team is global, diverse, endlessly curious and strives to make scientific insights accessible to innovators worldwide.

The Internship will run from May 17th, 2027, to August 6th, 2027.
Job Accountabilities:
  • Support analysis, visualization and interpretation of a drug development, medical biology, or related dataset.
    Support harmonization, normalization, or enhancement of CAS content for delivery to products, content pipelines, or business solutions.
    Connect across the organization through the Summer Intern Program to build influential working relationships, preparing your career for tomorrow.
    Stay abreast of the latest trends through individual and team training opportunities.
Qualifications:
  • Pursuing a degree in bioinformatics, computational biology, biostatistics, or closely related field.
  • Proficiency in a high-level programming language such as R or Python within Unix-like environment.
  • Strong problem-solving and critical-thinking skills.
  • Excellent communication, collaboration, and data presentation skills.
  • Background in molecular biology, immunology, genetics, or other relevant biomedical domains is a plus.
  • Experience with technologies such as GitHub, Java, Linux, and pathway visualization software's like Pathview, GSEA is a plus.
  • Experience in applying machine learning to large datasets is a plus.
  • Familiarity with data modeling a plus.
  • Ability to work independently as well as part of a team.

Candidates for this position must be authorized to work in the United States and not require work authorization sponsorship by our company for this position now or in the future.

EEO/Minority/Female/Disabled/Veteran

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