Job No. 156900
            
            
              - Job Title:
- Senior Programmer/Analyst
- Employer:
- 
              	Dartmouth College 
              
- Location:
- 
              Hanover , NH              
- Posting Date:
- 30-Oct-2025
- Description:
- 
              Position Purpose	
 This position is as the senior programmer/analyst in the New Hampshire Birth Cohort Study – a large ongoing maternal/child cohort funded by an NIH program grant until 2030. This study is a large and complex one that obtains a vast array of survey and laboratory data on its participants on an ongoing basis, and this needs exceptional level of expertise and ability.
 Description
 Design, develop and maintain analysis tools to support the New Hampshire Birth Cohort Study as a member of an academic research support team in the Department of Epidemiology. The Children’s Center New Hampshire Birth Cohort Study (NHBCS) is an NIH-funded Birth Cohort established in the department of Epidemiology in 2009 by Dr Karagas (PI) that is a part of the US-wide Environmental influences on Child Health Outcomes (ECHO) program. ECHO program is in its 2nd cycle and includes a vast and complex array of data collection instruments and tools that require extensive data management.
 Required Qualifications - Education and Yrs Exp	Masters or equivalent combination of education and experience
 Required Qualifications - Skills, Knowledge and Abilities
 Master’s degree in public health, statistics, or related field or the equivalent combination of education and experience.
 5-7 years of professional experience in statistics, data management, epidemiology, or related field.
 3-5 years of demonstrated experience in health services research, claims data, managing complex data systems, and mentoring junior research programmers/analysts.
 Extensive understanding of rigorous and efficient research design, implementation, and analytic methodologies, particularly around health services research.
 Advanced SAS knowledge required, including demonstrated experience using SAS functions, developing SAS macros, merging large datasets, and modeling.
 Advanced knowledge of the R programming language is required, along with a general understanding of object-oriented computing.
 Demonstrated claims data expertise with knowledge and understanding of other types of data preferred.
 Proven ability to effectively mentor analytic activities, interacting with all levels of staff, management, and executive leadership internally and externally.
 Preferred Qualifications
 Other statistical software and/or programming languages (i.e., SPSS, STATA, Python) preferred.
 Demonstrated data management and statistical methodology expertise.
 Ability to work independently, taking initiative to advance methods and studies proactively.
 Proven ability to use sound judgment when interacting with internal and external collaborators.
 Commitment to diversity and to serving the needs of a diverse population.
 Outstanding interpersonal, oral & written communication skills.