2026 Summer Intern - Biostatistics (PhD Student)

<div class="content-intro"><p><strong><span data-contrast="auto">About Us</span></strong><span data-ccp-props="{}"> </span></p> <div data-olk-copy-source="MessageBody">Kardigan is a heart health company working to make cardiovascular disease preventable, curable and no longer the leading cause of death in the world.<br><br></div> <div>It is Kardigan’s mission to develop multiple targeted treatments in parallel that bring people with cardiovascular diseases to the cures they deserve.</div> <div> </div> <div>Led by Tassos Giannakakos, Jay Edelberg, <span data-olk-copy-source="MessageBody">M.D., Ph.D.,</span> and Bob McDowell, Ph.D., Kardigan’s co-founders have reunited after leading MyoKardia to discover and develop mavacamten, the first cardiac myosin inhibitor, resulting in an acquisition by Bristol Myers Squibb in 2020.</div> <div> </div> <div>We have a cutting-edge discovery and translational research platform, a pipeline of late-stage candidates, and an industry-leading team that is driven to improve the lives of patients.</div> <div> </div> <div>At Kardigan, we are motivated by our values which guide how we work, interact, and achieve our goals. <strong>Driven by patients and their families</strong>, we are deeply committed to improving the lives of patients and prioritizing their needs above all else. We believe in <strong>being authentic</strong>—leading with truth to bring out the best in others by creating an environment where every person knows they will be fully accepted. With an <strong>eagerness to learn</strong>, we encourage the highest levels of curiosity and are open to changing our minds. We are committed to <strong>winning as a team</strong> with urgency, excellence, and intention, and support each other no matter what role we play or where we sit. Lastly, we strive to <strong>enable the impossible</strong> because patients are counting on us. We are not afraid to take risks to unlock innovation and advance scientific discoveries.</div> <div> </div> <div>These values are the foundation of our work, empowering us to make a real difference, every day.</div> <div> </div> <div> </div></div><p><strong>Position Title: </strong>2026 Summer Intern - Biostatistics (PhD Student)</p> <p><strong>Department: </strong>Biostatistics</p> <p><strong>Reports To:</strong> Director, Biostatistics</p> <p><strong>Location: </strong>Princeton, NJ – On-site 4 days per week (Mon to Thurs)</p> <p> </p> <p><strong>Job Overview</strong></p> <p>Kardigan is looking for a Biostatistics Intern to join our Biostatistics team to explore and evaluate data handling strategies including missing data handling for analyzing clinical trial data and digital health data streams. If you’re interested in learning about the latest clinical trials and analysis methods within a supportive and fast-moving environment, this role is a great fit.  You’ll contribute to real projects, learn from experienced teammates, and make a meaningful impact on our biostats programs across our portfolio.</p> <p> </p> <p><strong>What You’ll Do</strong></p> <ul> <li>Evaluate data processing and modeling strategies for clinical trial and digital health data using both real study data and simulation-based.  ​ </li> <li>Compare different data handling approaches, including missing data imputation techniques and estimand strategies, and summarize their strengths, limitations, and best practices in a structured report.​ </li> <li>Explore wearable device data to better understand its structure, quality, and analytical considerations. Interpret results and communicate insights clearly and translate findings into actionable recommendations. </li> <li>Develop clear, well-documented, and reproducible code in R/Python/SAS to support analyses and simulation work.  </li> </ul> <p> </p> <p><strong>Qualifications </strong></p> <ul> <li>Current Ph.D. level student enrolled in an accredited institution in <strong>Biostatistics, Statistics, Data Science</strong>, or a related field. </li> <li>Experience with <strong>R, Python, or SAS </strong>for data analysis. </li> <li>Interest in clinical trials, digital health analytics, and simulation methods. </li> <li>Familiar with advanced statistical methods, including longitudinal data analysis and multiple imputations </li> <li>Nice to have someone who has completed an internship in the past.</li> <li>Strong curiosity, attention to detail, problem-solving mindset, and enthusiasm for learning. </li> </ul> <p> </p> <p><strong>Pay:</strong> $33 per hour <br><strong>Location requirement:</strong> Candidates must be based in the Princeton, NJ Area (no housing or relocation stipend is offered for this role)</p> <p> </p>