Post doctoral Research Scientist Emergency Medicine

Partner's Healthcare; Boston (MA); Hybrid; USD 70,000 - 72,000; Full time

Job summary

The Brigham and Women's Hospital, Inc. is seeking a Postdoctoral Research Fellow in the RESPOND Lab at MGH to apply network science methods to pediatric health data. A PhD in biostatistics, statistics, computer science, or a related quantitative field is required.

The role involves independent analysis, collaboration with health services researchers, and development of analytic techniques. Starting date negotiable; hybrid work arrangement.

Qualifications

• PhD in biostatistics, statistics, or a related field.
• Strong computational skills and expertise in R is required.
• Data science or health services research and electronic data management systems experience.
• Proficiency with MS Office products.
• Experience with Python and network science is preferred but not required.

Responsibilities

• Perform independent analytic tasks.
• Design and modify research protocols.
• Troubleshoot problems and instruct colleagues in statistical and network science techniques.
• Synthesize and interpret results.
• Perform advanced analysis using various software programs and statistical techniques.
• Maintain organized and detailed records.
• Present results at lab meetings and national conferences.
• Prepare and submit research manuscripts to peer-reviewed journals.
• Assist with preparation of grant applications.

Skills

Biostatistics

Data science

R programming

Health services research

Electronic data management

Education

PhD in biostatistics or statistics

Tools

R

Python

Job description

Site

The Brigham and Women's Hospital, Inc.Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.

Job Summary

The RESPOND Lab at MGH (https://mesk.mgh.harvard.edu/) is seeking candidates with a Ph.D. in biostatistics, applied mathematics, computer science, or a related quantitative field for a two-year Postdoctoral Research Fellow position. This position involves applying established methods from network science to pediatric health access and outcome data. Working with a multi-disciplinary team of health services researchers, including experts in pediatric emergency medicine and network science, the successful candidate will apply techniques from network science to pediatric emergency care data, and develop expertise in project administration and applications of advanced analytic methods to health services. Candidates should have a doctoral degree in biostatistics, statistics, or a related field. Strong computational skills and expertise in R is required. Experience in Python and network science are desired but is not required. Start date is negotiable.

Qualifications

• Performing independent analytic tasks
• Designing and implements modifications of research protocols
• Troubleshooting problems and instructing colleagues in statistical and network science techniques
• Synthesizing and interprets results
• Performing advanced analysis using various software programs and statistical techniques
• Maintaining organized and detailed records
• Presentation of results at lab meetings and national conferences
• Preparation and submission of research manuscripts to peer-reviewed journals
• Assisting with preparation of grant applications
• Other duties as assigned

A successful candidate will

• Work independently under general direction of the Principal Investigator
• Be motivated, meticulous, organized, and detail-oriented
• Demonstrate initiative and enthusiasm for learning new techniques
• Have strong analytical and problem-solving skills
• Possess strong technical abilities and computer science skills
• Possess exceptional written and oral communication skills as demonstrated by publications and presentation
• Possess the ability to make independent and effective decisions in a timely fashion
• Possess competence in research techniques and methodologies
• Have excellent interpersonal skills
• Be a team player who works well with other lab members

Must have experience with

• Data science or health services research and electronic data management systems
• MS Office products
• Statistical software (R)

Must have

• Doctoral degree (PhD) in biostatistics, statistics, or a related field
• Strong computational skills and expertise in R is required

Cover letter with 2 references

Excellent written and verbal communication skills. The ability to work well with a diverse group of individuals.

Preferred

Experience in Python and network science are desired but is not required

Salary

The salary for this position ranges from $70,000 to $71,750.

Remote Type

Hybrid

Work Location

125 Nashua Street

EEO Statement

2200 The Brigham and Women's Hospital, Inc. is an Equal Opportunity Employer. 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. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran's Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.

Mass General Brigham Competency Framework

At Mass General Brigham, our competency framework defines what effective leadership "looks like" by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused, half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance, make hiring decisions, identify development needs, mobilize employees across our system, and establish a strong talent pipeline.