Clinical Feasibility and Analytics Intern

POSITION TITLE: Clinical Feasibility & Analytics Intern

LOCATION: CAMBRIDGE, MA

This position sits in and reports to our global HQ in Cambridge, MA. There is no remote option and we have a hybrid work schedule. Local candidates only.

When: May 28 - August 23, 2024

Who we are:

TriNetX was founded on the idea that incorporating real-world data results in better clinical trial design, improves the site selection and patient recruitment process and generates real-world evidence (RWE) to advance the collective understanding of human health. TriNetX collaborates with the majority of industry leaders, including 13 of the top 15 pharmaceutical companies, and is powered by an impressive network of 170 healthcare organizations across 30 countries.

As a result of its reach and rapidly expanding network, TriNetX has become the market leader in protocol design, feasibility, and site selection. Researchers have leveraged the TriNetX network to analyze over 39,000 protocols, presented over 10,000 clinical trial opportunities to its healthcare members, and reduced site identification time in clinical trials by 50%.

Currently, TriNetX healthcare organization members contribute access to a patient population of 400 million, representing over 40 billion clinical observations. With headquarters in Cambridge, Massachusetts, TriNetX is one of the fastest-growing, privately held companies in the area’s life sciences corridor.

What challenges we work on:

TriNetX is the global health research network that optimizes clinical research and enables discoveries through the creation of real-world evidence. TriNetX combines real-time access to longitudinal clinical data with state-of-the-art analytics to answer complex research questions at the speed of thought. Each member of our community shares in the consolidated value of our global, federated health research network that connects clinical researchers to the patient populations which they are attempting to study.

Who we are looking for:

As we continue to grow globally, the Clinical Feasibility & Analytics team is looking for a candidate who is amicable, hardworking, and imaginative to join us this summer as an intern to continue the success of our multi-faceted and impactful team. In this position, the Clinical Feasibility & Analytics intern will draw upon their knowledge of clinical research and clinical trial design to assist with finding relevant patient cohorts using the TriNetX Network. The Clinical Feasibility & Analytics intern will also utilize existing clinical information and skills to help solve complex research questions. The ideal candidate for this position is someone who is willing to learn our platform, data, and tools with the determination to learn and optimize clinical research. Candidates will learn the particulars of clinical trial design and feasibility, use of real-world data in healthcare settings, and epidemiological research study design and analysis. The internship will culminate with a company-wide internship presentation, where you will discuss the work you’ve done and your experience.

What you will be doing:

• Learn to manage daily operations of the Clinical Feasibility & Analytics team
• Track task statuses against the specified timelines and deliverables, and communicate the statuses and activities with larger team
• Translate eligibility criteria and query for patient cohorts using the TriNetX Network
• Review professional journals and publications to help solve complex research questions
• Assure data quality, integrity, and confidentiality of information
• Collaborate with the Clinical Feasibility & Analytics staff as necessary, and communicating your concepts and ideas to the team

What you bring to TriNetX:

• Excellent communication skills and has experience working on a team
• Initiative to learn our platform, data, analytics and the particulars of clinical research and clinical trial design
• Previous experience in clinical research or patient data including clinical information systems, EMR, claims, etc.
• Strong, flexible, research skills and the ability to locate epidemiological information
• Time management and organizational skills, with the ability to meet deadlines
• Attention to detail and thoroughness in all work deliverables

Bonus points:

• Experience with data analysis or statistical software (SAS, R, etc.)
• Experience performing literature reviews

As a condition of employment, the individual must provide proof of Covid 19 vaccination unless a medical or religious exemption is granted by TriNetX