Intern - Process Development - Computational Biology

Описание вакансии

As a Gilead intern you will contribute to high-impact meaningful projects that will not only further advance our company’s mission but will allow you to gain real world experience at one of the most innovative organizations in the world. You will also have opportunities to participate in special events including professional development and leadership presentations, social/network building activities and local community volunteer programs.

Key Responsibilities will include, but are not limited to the following:

• Develop modular R-based tools and dashboards for automated flow cytometry data analysis, including gating, quality control, and visualization.

• Perform exploratory data analysis to identify patterns and predictors of manufacturing outcomes.

• Design and implement statistical or machine learning models to predict manufacturing performance based on biological and process-related inputs.

• Support multi-omics data analysis and interpret results through literature review.

• Showcase your work with a final presentation (PPT) near the conclusion of your internship

Required Qualifications:

• Must be at least 18 years old

• Must have a minimum GPA of 2.8

• Authorized to work in the United States without Sponsorship now or in the future or CPT/OPT through your University.

• Must be currently enrolled as a full-time student in a Bachelor’s/Masters/MBA/PhD program at an accredited US based university or college

• Must be a Rising Sophomore, Junior, or Senior in undergrad or a Graduate or Doctoral Student

• Must be enrolled full-time in the Fall Semester at an accredited university/college after the completion of the internship

• Must be able to complete a 10-12 consecutive week internship between May and August

• Must be able to relocate if necessary and work at the designated site for the duration of the internship

Preferred Qualifications:

• Undergrad

• Proficiency with MS Office Suite

• Ability to identify issues and seek solutions

• Ability to work both independently and collaboratively

• Demonstrated commitment to inclusion and diversity in the workplace

• Efficient, organized, and able to handle short timelines in a fast-paced environment

• Proficiency in R programming, with experience building data analysis tools or dashboards.

• Familiarity with flow cytometry data and basic immunological or cellular biology concepts.

• Experience with data visualization and exploratory data analysis techniques.

• Understanding of statistical modeling or machine learning approaches.

• Ability to interpret biological data through contextual analysis, integration of public resources, and scientific literature.

Gilead Core Values:

• Integrity (Doing What’s Right)

• Inclusion (Encouraging Diversity)

• Teamwork (Working Together)

• Excellence (Being Your Best)

• Accountability (Taking Personal Responsibility)