Statistical Data Analyst
Massachusetts General Hospital(MGH)


Job Info


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 junior to mid-level Statistical Data Analyst to work on multiple clinical and translational research projects focused on cardiovascular disease.

This Statistical Data Analyst position works with Principal Investigators in the Division of Cardiology at MGH and is a member of a collaborative multidisciplinary team of clinicians, scientists, and trainees. Under the supervision of a PI, 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. 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.


Qualifications
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 common biostatistical methods such as incidence and prevalence; survival analysis; logistic and multinomial regression; multivariable and multivariate regressions; dimension reduction and clustering; and machine learning 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.
  • Experience in developing dashboards or interactive visuals 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 GeneralHospital is an Equal Opportunity Employer. By embracing diverse skills, perspectives and ideas, wechoose to lead. Applications from protected veterans and individuals withdisabilities are strongly encouraged.



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