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Scientific Writing & Data Analytics Unpaid Intern

Discovery Life SciencesNewtown, PA

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Overview

Schedule
Part-time
Career level
Senior-level
Remote
On-site
Benefits
Career Development
Tuition/Education Assistance

Job Description

Are you ready to turn your classroom knowledge into real-world impact? As a Scientific Writing & Data Analytics Intern, you'll gain hands-on industry experience in scientific communication and data analysis while contributing to projects that help shape the future of personalized medicine. You'll work alongside experts, learn industry tools, and help transform data into insights.

ABOUT OUR COMPANY: We work with pharmaceutical leaders and biotech innovators to develop and implement diagnostic tests that make personalized medicine a reality. Our research helps inform treatment decisions, enables clinical trial enrollment, and advances the future of precision healthcare.

ABOUT OUR TEAM: We turn complex lab data into clear, useful information for scientists and industry experts. We craft reports that explain research findings, visualize results, and communicate data accurately to support decision-making. You'll be part of a team that bridges the gap between the lab and industry leaders, helping ensure scientific findings are communicated in a compelling and meaningful way.

WE ARE SEEKING: Students currently pursuing a degree in life sciences or related field with strong writing skills and problem-solving mindsets who are interested in the process of analyzing and communicating scientific results through written reports. They should be eager to learn and receptive to guidance.

INTERNSHIP COMPONENTS:

  • Interact with our team to gain knowledge and experience through guided assignments.
  • Learn the background of immunohistochemistry (IHC) and its use in assay development, validation, and clinical trial testing.
  • Learn the basics of data analysis in Excel including formatting, formulas, graphing, and basic statistics.
  • Learn the basics of tissue histology and pathology to identify tumor cells and perform microscopic imaging using digital software and physical microscopes with cameras and imaging programs.
  • Follow the structure of our scientific reports in Word to compile the Summary, Materials & Methods, Results, Figures, Tables, and Graphs for IHC assay transfer studies between laboratories.
  • Complete necessary requirements for college credit and present culmination of internship experience to the Discovery Scientific Writing & Data Analytics Team.

LOCATION & SCHEDULE:

  • Onsite in Newtown, PA
  • Part-time- Approximately 15 hours per week
  • Summer (Early June- Late July)

We value diversity of all kinds and are committed to building a diverse and inclusive workplace where we learn from each other. We are an equal opportunity employer and welcome people of all different backgrounds, experiences, and perspectives.

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FAQs About Scientific Writing & Data Analytics Unpaid Intern Jobs at Discovery Life Sciences

What is the work location for this position at Discovery Life Sciences?
This job at Discovery Life Sciences is located in Newtown, PA, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Discovery Life Sciences?
Employer has not shared pay details for this role.
What employment applies to this position at Discovery Life Sciences?
Discovery Life Sciences lists this role as a Part-time position.
What experience level is required for this role at Discovery Life Sciences?
Discovery Life Sciences is looking for a candidate with "Senior-level" experience level.
What benefits are offered by Discovery Life Sciences for this role?
Discovery Life Sciences offers following benefits: Career Development and Tuition/Education Assistance for this position. Actual benefits may vary depending on the employer's policies and employment terms.
What is the process to apply for this position at Discovery Life Sciences?
You can apply for this role at Discovery Life Sciences either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.