We are looking for a candidate to join our research team as a staff associate. For this full-time officer of research position, we seek a person with strong programming, data management, analytic, and communication skills to join our team in the assessment of national claims data, clinical registry data, and disease simulation modeling to evaluate drivers of outcomes, quality, and value for patients with cancer. The larger mission and goal of the research group is to conduct health outcomes research to guide the development, evaluation and utilization of cancer screening, prevention and treatment.

The staff associate’s primary job responsibilities will include the analysis of large-scale datasets and the development of disease simulation model. We seek candidates with a strong background in a quantitative field in public health (epidemiology, statistics, health policy). As a part of this work, a strong foundation in programming is essential.

We are looking for a person with experience and graduate training related to health services research, biostatistics and epidemiology. The ideal candidate will have had some experience working with health administrating/insurance claims data and/or electronic health records. While the position requires technical skills, we are particularly looking for a person passionate about for making the health system work more efficiently and effectively for patients with cancer and in growing as a member of our team.  The research scientist will work closely with a multidisciplinary team of physicians, clinical researchers, epidemiologists, and statisticians. Hence the ability to work well in teams and communicate effectively are paramount.


Job Responsibilities:

Working directly with the PI to design and implement new projects and to make sure analyses are useful, accurate, and clearly communicated.

Merging, cleaning, documenting, and managing administrative and clinical registry-based datasets; analyzing data quality and integrity; identifying and solving data quality problems; coding and creating new variables; preparing analysis files; producing statistical summaries, charts and tables; and communicating results.
Perform statistical analyses according to the study design (e.g., hierarchical modeling, survival analyses, weighted analyses, difference-in-difference, simulation, etc.
Development and validation of simulation models, including Markov models, to examine effectiveness of treatments in cancer patients.
Assist in writing and editing manuscripts for publication.
Clearly communicate processes used and results achieved, and suggest new and alternative approaches.
Cultivate deep familiarity with methodological approaches and data
No prior knowledge of clinical oncology is required, but a desire to learn and to join a team aimed at improving quality and value of care is essential.
The Scientific Community: Situated on a 20-acre campus in Northern Manhattan CUIMC provides global leadership in scientific research, health and medical education, and patient care. CUIMC is especially proud of its relationship with the surrounding Washington Heights community and has numerous research and clinical programs in Northern Manhattan, including Harlem, Washington Heights, and Inwood. CUIMC also has more than 40 state-of-the-art shared research facilities physically housed in and administered by its departments, centers, and institutes. These resources offer the highest-quality scientific technology to the community, and many also offer education and training, as needed. We offer competitive salary and benefit packages.


The Department of Obstetrics and Gynecology is dedicated to the goal of building a multicultural faculty and staff committed to teaching, working and serving in a diverse community, and strongly encourages applications from candidates of traditionally underrepresented backgrounds.

We are continuously seeking to recruit individuals who will enhance the diversity of our workplace and the effectiveness of our organization.


Minimum Qualification:

Bachelor’s degree in specific research field and 4-6 years experience
Strong verbal and written communication and interpersonal skills and a desire to grow as a member of the team
Attention to detail
Ability to manage complex research projects and analyses
Strong analytic, organizational, and time management skills
Proficiency in STATA, SAS, R, or other statistical programs

Preferred Qualification:

Master’s degree in public health, health care administration, economics, statistics, computer science, or a related quantitative area preferred

Application Instructions
Hiring Salary Range: $60,000 – $90,000


To be considered for this role, you must apply via this link: https://apply.interfolio.com/116994