Biostatistician I CDNM
Somerville, NJ - USA
Job Summary
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 Channing Division of Network Medicine represents a diverse and highly collaborative research community that is focused on deciphering the etiology of complex diseases. The lab benefits from active collaborations with computational biostatistical and networking experts. We also work with state-of-the-art laboratories for the generation of omics data and have established bioinformatic pipelines for cleaning and preparing data for analysis. The Statistician will be contributing to the statistical analysis and scientific write up of projects within RECOVER Systems Biology and other epidemiological studies led by Dr. Lasky-Su which will have a wealth of multi-omic data that cover lifestyle behavior dietary and environmental risk factors. These outstanding resources offer the potential for a high-quality candidate to address scientific questions of interest and to develop their research career in a vibrant environment. We are seeking highly motivated and analytically-capable applicants who have a strong interest in progressing the field through impactful science.Qualifications
Education
Masters Degree Biostatistics required or Masters Degree Related Field of Study required
Can this role accept experience in lieu of a degree
No
Licenses and Credentials
Experience
Experience as a biostatistician or data analyst 1-2 years preferred
Knowledge Skills and Abilities
- High degree of computer literacy.
- Sound analytical and organizational skills.
- Requires excellent oral and written communication skills.
- Must be able to logically and effectively structure tasks and set priorities.
- Ability to identify problems and troubleshoot solutions.
- Demonstrated ability to analyze data statistically and to logically present it.
Additional Job Details (if applicable)
Physical Requirements
- Standing Occasionally (3-33%)
- Walking Occasionally (3-33%)
- Sitting Constantly (67-100%)
- Lifting Occasionally (3-33%) 20lbs - 35lbs
- Carrying Occasionally (3-33%) 20lbs - 35lbs
- Pushing Rarely (Less than 2%)
- Pulling Rarely (Less than 2%)
- Climbing Rarely (Less than 2%)
- Balancing Occasionally (3-33%)
- Stooping Occasionally (3-33%)
- Kneeling Rarely (Less than 2%)
- Crouching Rarely (Less than 2%)
- Crawling Rarely (Less than 2%)
- Reaching Occasionally (3-33%)
- Gross Manipulation (Handling) Constantly (67-100%)
- Fine Manipulation (Fingering) Frequently (34-66%)
- Feeling Constantly (67-100%)
- Foot Use Rarely (Less than 2%)
- Vision - Far Constantly (67-100%)
- Vision - Near Constantly (67-100%)
- Talking Constantly (67-100%)
- Hearing Constantly (67-100%)
Remote Type
Work Location
Scheduled Weekly Hours
Employee Type
Work Shift
Pay Range
$75275.20 - $109553.60/AnnualGrade
6EEO Statement:
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.
Required Experience:
IC
About Company
Patients at Mass General have access to a vast network of physicians, nearly all of whom are Harvard Medical School faculty and many of whom are leaders within their fields.