Statistical Data Analyst - Part Time
Company: Massachusetts General Physicians' Organization
Location: Boston
Posted on: October 16, 2024
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Job Description:
Job Description - Statistical Data Analyst - Part Time (3307824)
Statistical Data Analyst - Part Time - ( 3307824 ) 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. FISCAL
RESPONSIBILITY (if applicable):Indicate financial "scope"
information, i.e.: size of budget, volume, revenue, etc.; Indicate
total physician/non-physician FTE scope WORKING CONDITIONS:
Describe the conditions in which the work is performed. - Duties
will be performed remotely and in an office setting.
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. 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. Primary Location Work Locations MGH Main Campus Job Job
Data/Analytics Organization Organization Massachusetts General
Hospital(MGH) Schedule Schedule Full-time Standard Hours 20 Shift
Shift Day Job Employee Status Employee Status Regular Recruiting
Department MGH Cardiovascular Research Center
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Keywords: Massachusetts General Physicians' Organization, Somerville , Statistical Data Analyst - Part Time, Professions , Boston, Massachusetts
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