Post-Doctoral Research Fellow, Integrative Medicine & Wellness Service, Department of Medicine, Memorial Sloan Kettering Cancer Center

Job details

The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursue our mission at MSK and around the globe.

Role Overview:

• Manage the day-to-day operations of a large, federally funded randomized clinical trial investigating an AI-assisted music therapy intervention for anxiety in patients living with advanced cancer
• Work collaboratively in an interdisciplinary research team comprised of music therapists, oncologists, psychologists, biostatisticians, machine learning engineers, software developers, and integrative medicine specialists.
• Conduct quantitative, qualitative, and mixed methods analyses of datasets in collaboration with the biostatistics team.
• Lead and contribute to manuscript preparation, grant applications, and presentations of research findings at scientific meetings.

Key Requirements:

• Doctoral degree (PhD, MD, PsyD, or equivalent) with a research focus in clinical psychology, palliative care, oncology, music therapy, or an oncology-related field
• Hands-on experience with clinical research, including IRB protocols, data management, and patient-facing procedures; prior involvement in randomized clinical trials is strongly preferred.
• Strong organizational and project management skills, including the ability to break multi-phase research projects into structured timelines and execute deliverables independently on time.
• Methodical, detail-oriented approach to research operations, including data management systems, regulatory documentation, and compliance tracking.
• Proficiency in quantitative research methods and statistical software (e.g., R, SAS, SPSS, or similar).
• Demonstrated intellectual curiosity and commitment to cross-disciplinary learning
• Strong written and oral communication skills

Application Requirements

Submit the following in your application:

• Curriculum vitae
• One-page cover letter addressing: (a) your research background and how it aligns with this position; and (b) your career goals and what draws you specifically to the intersection of music, technology, and cancer care.
• One writing sample (e.g., published article, dissertation chapter, or research report)
• Three letters of recommendation, including one from a current or recent research mentor or thesis/dissertation supervisor, submitted directly by referees to liouk@mskcc.org

​Pay Range: $72,000 – $87,641

Additional Detail about Dept of Medicine

MSK's Integrative Medicine and Wellness Service is home to a world-class research program whose practice-changing work has been cited in clinical guidelines from ASCO and NCCN. You will work on the first randomized clinical trial to evaluate an AI-assisted music therapy intervention for anxiety in people with advanced cancer, helping to advance novel applications of AI technology in integrative oncology. With dedicated mentorship from clinician-scientists with a track record of NIH funding and publication in top-tier journals, you will be well-positioned for a successful research career.

Closing:

At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills.

MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision.  

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