Mass General Brigham
Statistical Data Analyst – Part Time
Job Description
GENERAL SUMMARY/ OVERVIEW STATEMENT: Summarize the nature and level of work performed.
The Massachusetts General Hospital (MGH) Corrigan Minehan Heart Center and Cardiovascular Research Center is seeking a highly motivated Statistical Data Analyst to work on multiple clinical and translational research projects focused on cardiovascular disease. The position will be a central investigator for high-impact research projects presented at international conferences and published in major medical journals. This position is part-time, 20 hours per week.
This Statistical Data Analyst position works with Principal Investigators (PIs) who are faculty members at Harvard Medical School and in the Divisions of Cardiology and Cardiac Surgery at MGH. Investigators and analysts work as members of a collaborative multidisciplinary team of clinicians, scientists, and trainees. Under the supervision of a PIs, the selected candidate will lead data analyses for projects related to heart disease and is expected to leverage conventional and advanced data science/machine learning approaches in the analysis of high-dimensional clinical datasets. This work often involves advanced causal inference methods including econometric techniques. Additional responsibilities include developing research protocols, compiling data, managing databases, performing quality assurance, validating programming, and generating outputs and visuals that summarize study results.
The selected candidate will also contribute to the preparation of manuscripts, conference abstracts, and other publications, as well as assist in coordinating collaborative research activities with internal and external investigators. Strong communication skills and the ability to convey statistical concepts in simpler and relatable terms is highly desired.
PRINCIPAL DUTIES AND RESPONSIBILITIES: Indicate key 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.
The Statistical Data Analyst has the following duties and responsibilities:
- Lead the efficient synthesis and analysis of clinical data for all assigned projects related to cardiovascular disease.
- Participate in study design meetings with internal and external investigators, providing guidance on sample size requirements, approaches to measurement, and clinical endpoints.
- Assist with preparation of IRB submissions and renewals.
- Assist investigators in the development and implementation of statistical analysis plans, ensuring analytical activities are within scope, timeline, and reach the overall aims of each project.
- Participate in the preparation and presentation of study results in manuscripts, conference abstracts, or other publication mediums.
- Coordinate and participate in collaborations with investigators within other Harvard departments and at other institutions across the U.S.
- Participate in and report on assigned project status at bi-weekly team meetings.
- Actively participate in continuing education and mentorship of other research team members.
- Proactively conduct quality control/quality assurance of programming and statistical models, automating processes whenever possible.
- Assists with other research-related tasks as needed.
SKILLS/ABILITIES/COMPETENCIES REQUIRED: Must be realistic, objective, measurable and related to essential functions of this job.
Position Requirements:
- A Masters degree in statistics, biostatistics, mathematics, or a related field is required.
- Proficiency in biostatistical methods such as quasi-experimental methods appropriate for analysis of complex, observational datasets (claims data, observational cohorts, and clinical trial data); survival analysis; regression; dimension reduction and methods appropriate for clustering and panel data; and machine learning is required.
- Experience in econometric statistical techniques including instrumental variables methods and regression discontinuity is required.
- Proficiency in oral and written English communication is required.
- Experience and proficiency in one or more of the following statistical programming languages is required: Python, R, SAS, NCSS, MPlus, SPSS, and Stata.
Skills/Competencies that are highly desired:
- Experience and proficiency in prioritizing tasks and requesting support (when needed) while adhering to project deadlines is highly desired.
- An ability to convey complex statistical concepts to a diverse team of clinical professionals with a varying levels of expertise in statistics is highly desired.
- Experience in new machine learning platforms such as Tensorflow, Keras, Pytorch is highly desired.
- Experience in implementing Bayesian analysis is highly desired.
LICENSES, CERTIFICATIONS, and/or REGISTRATIONS (if applicable): Specify minimum credentials and clearly indicate if preferred or required
EDUCATION: Specify minimum education and clearly indicate if preferred or required
- Minimum education required: A Masters degree in statistics, biostatistics, mathematics, or a related field is required
EXPERIENCE: Specify minimum creditable years of experience and clearly indicate if preferred or required
- None; if newly graduating from graduate school, prefer course experience in advanced statistical methods and machine learning
SUPERVISORY RESPONSIBILITY (if applicable): List the number of FTEs supervised.
- None.
FISCAL RESPONSIBILITY (if applicable): Indicate financial “scope” information, i.e.: size of budget, volume, revenue, etc.; Indicate total physician/non-physician FTE scope
- None
WORKING CONDITIONS: Describe the conditions in which the work is performed.
- Duties will be performed remotely and in an office setting.
EEO Statement
Massachusetts General Hospital is an Affirmative Action Employer. By embracing diverse skills, perspectives and ideas, we choose to lead. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
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