Job description
Data Analyst I
- (3238509)GENERAL SUMMARY/ OVERVIEW STATEMENT: Summarize the nature and level of work performed. Please note that this section should be written in a paragraph format and provide a broad description of the role and its purpose as well as the reporting structure.
The MGH Cardiovascular Imaging Research Center (CIRC) seeks a dynamic and goal-oriented individual for a Data Analyst I position to work on ongoing and future research studies.
CIRC is a world-leading multidisciplinary academic research center with national and international scientific leadership in clinical trials and machine learning. CIRC faculty have led major NIH- and industry-funded funded clinical trials using cardiac imaging, including the PROMISE (NEJM 2015) and REPRIEVE clinical trials (https://reprievetrial.org).
The Data Analyst I will have direct interaction on a team of approximately 35 people including multidisciplinary faculty, Research Fellows, Clinical Research Coordinators, Project Manager, Grants Administrator, and Grants Coordinator under the guidance of CIRC faculty. The optimal candidate has strong problem-solving skills, and is detail oriented with excellent technical, communication, and team skills. The individual in this position will be responsible for developing and evaluating machine learning models, data management, and statistical analysis of clinical research.
This position is ideal for an individual interested in pursuing graduate school or a career in medicine, public health, or clinical research.
PRINCIPAL DUTIES AND RESPONSIBILITIES: In order of importance, list essential areas of responsibility, major job duties, special projects and key objectives for this position. These items should be evaluated throughout the year and included in the written annual evaluation. This section should be completed as a bulleted list and explain how the role is performed.
Primary anticipated responsibilities include:
- Data and statistical analyses using Python, R, Stata, and similar tools
- Development and evaluation of machine learning models involving medical imaging
- Data wrangling and data management.
- Maintaining Standard Operating Procedures for data management.
- Maintaining IT infrastructure and collaborating with MGB IS and external vendors as needed.
- Close collaboration with CIRC faculty, research fellows, project managers, and clinical research coordinators
- Visualization of data and development of interactive tools
- Literature review and preparation of abstracts and manuscripts
SKILLS & COMPETENCIES REQUIRED: This section should be a bulleted list of minimum requirements explaining the skills (what the individual is trained for) and competencies (measurable as defined by the job) necessary to perform the job.
- At minimum a Bachelor’s degree, Master’s preferred.
- A strong interest in participating in clinical and machine learning research
- Proficient with Python, R, and Stata (or similar software).
- Willingness to learn and work with machine learning and statistical models.
- Strong creative skills for data visualization and analysis.
- Ability to perform medical literature searches.
- Strong database management and statistical skills
- Excellent communication skills, including the ability to interact with physicians and researchers.
- Strong work ethic, excellent organization skills, and meticulous attention to detail.
LICENSES, CERTIFICATIONS, and/or REGISTRATIONS: Specify minimum credentials and clearly indicate if required or preferred.
Not Applicable
EDUCATION: Check boxes that best describe the minimum and preferred education requirements.
Minimum Required:
High school diploma, GED or equivalent
Certificate : Please specify
Some college or Associate’s Degree
Bachelor’s Degree
Master’s Degree
Doctoral Degree
None required
Preferred:
High school diploma, GED or equivalent
Certificate : Please specify
Some college or Associate’s Degree
Bachelor’s Degree
Master’s Degree
Doctoral Degree
Field of Study/Additional Specialized Training:
Bachelor's degree in a technical, scientific, or healthcare field is required. A masters in a technical, scientific, healthcare informatics or data management field is preferred.
Equivalent Experience – please document if educational requirements can be met through equivalent experience:
Not Applicable
EXPERIENCE: Indicate the required and preferred (optional) amount and type of experience.
Not Applicable
Required: None
Preferred:
SUPERVISORY RESPONSIBILITY (authority to hire, promote, or terminate): Indicate supervisory “scope” and list the number of employees supervised.
Not Applicable
FISCAL RESPONSIBILITY: Indicate financial “scope” information, e.g. size of budget, volume, revenue, etc.
Not Applicable
WORKING CONDITIONS: Describe the conditions in which the work is performed. Use this section to detail any physical requirements for the position (lifting, carrying, etc). Use this section to also detail any environmental conditions associated with the position (outdoor weather requirements, hazardous materials, etc).
Standard office conditions; hybrid on-site and off-site position.
The information contained in this document is intended to describe the general contents and requirements of work being performed by people assigned to this classification. It is not intended to be construed as an exhaustive statement of all duties, responsibilities or skills of individuals so classified
Massachusetts General Hospital is an Equal Opportunity Employer. By embracing diverse skills, perspectives and ideas, we choose to lead. Applications from protected veterans and individuals with disabilities are strongly encouraged.
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