Overview
Description
We are looking for a candidate to join our research team as a staff associate II. 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.
Qualifications
Minimum Qualifications:
· Bachelor’s degree in statistics, physics or a related quantitative area.
· 4 years of experience recommended.
· 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 scientific analyses
· Strong analytic, organizational, and time management skills
· Proficiency in STATA, SAS, R, or other statistical programs
· Experience in computer coding in a specific language: Python, R or C/C
· Critical thinking and creative problem solver who enjoys both autonomy and working within a team
Preferred Qualifications:
Master’s Degree
Programming/coding experience
Experience in scientific analysis
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.
EEOA Statement :
Equal Opportunity Employer / Disability / Veteran
Columbia University is committed to the hiring of qualified local residents.
Application Process
This institution is using Interfolio’s Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.
Apply Now via: https://apply.interfolio.com/143095
Equal Employment Opportunity Statement
Columbia University is an Equal Opportunity Employer / Disability / Veteran
Pay Transparency Disclosure
The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University’s good faith and reasonable estimate of the range of possible compensation at the time of posting.
