Research Data Analyst - PVD Group, Per Diem, Remote
Mass General Brigham
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 Research Data Analyst will work under the direction of the Principal Investigator to assist graduate students, post-doctoral fellows, clinical fellows, and others with research projects that focus on analytical and computational needs. May perform bench research as neededDoes this position require Patient Care? No
Essential Functions: Provide direct assistance with experimental studies.
-Performs basic computational modeling and statistical analysis; prepares drafts of work for review; applies feedback received to create final analyses and/or reports.
-Meets with the PI and team to discuss work plans, activities, and results to support the applicability of efforts, learning opportunities, and professional development.
-Reviews, collates, and prepares standard analyses of medical record data.
-Perform administrative tasks, such as required for data collection; prepare documentation and record-keeping; update databases; run reports.
-Conducts literature searches and submits appropriate articles to PI and team for consideration; identifies topics of interest for personal reading and may present at lab meetings.
Qualifications
Education
Bachelor's Degree Computational Biology required or Bachelor's Degree Related Field of Study required
Can this role accept experience in lieu of a degree?
Yes
Experience
Experience as attained through education 0-1 year required
Knowledge, Skills and Abilities
- Understanding of human pathophysiology, hematologic function, pregnancy physiology and related fields of study.
- Understanding of mathematical modeling, including dynamical systems, statistical analysis, and computational methods.
- Ability to work collaboratively as part of a team and with supervision from team members.
- Ability to work productively with scientists and clinicians at all levels.
- Works in an organized manner with the ability to follow instructions, processes and timelines.
- Can identify roadblocks occurring within areas of responsibility and refer them to the appropriate party(s) for assistance.
- Strong computer skills, including accurate data entry.
Additional Job Details (if applicable)
Contribute to the acquisition, organization, and processing of data including interfacing with the vendor that manages initial data, managing the storage of the data and organizing the data into a database. Additionally, this role will run and adjust custom made scripts to help process data into usable distinct forms (such as wave forms) which will then serve as input into other research projects.
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
EEO 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.