Data Analyst II
NEW Health
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.
MGH NCRI is seeking qualified applicants with skill and experience manipulating complex medical data sets to serve as a Statistical Programmer within the NCRI Biostatistics group. This is a unique role for a programmer who enjoys hands-on, cross-disciplinary work in a mission-driven setting. The position offers the opportunity to contribute to the implementation, analysis, and reporting of important research while working with a diverse team across academia, industry, and regulatory bodies. While housed within a renowned academic institution, the position offers the fast-paced, solution-oriented environment of industry and is ideal for a candidate who thrives on meaningful real-world applications.
Job Purpose
The Data Analyst II will be responsible for supporting statistical operations through development, validation, and execution of statistical programming to facilitate the analysis and reporting of data for clinical research and investigational product development. The individual will work closely with faculty biostatisticians and clinical investigators on a variety of projects focused on neurodegenerative diseases, including academic and FDA-regulated clinical trials, observational studies, and registries. The individual will ensure the application of rigorous and error-free statistical programming (using SAS and R) to produce accurate, reliable, and reproducible results. The individual will be expected to work closely with other team members to achieve larger goals while taking ownership of specific projects and tasks and independently identifying areas that require additional attention or improvement in both their own and the team’s work.
PRINCIPAL DUTIES AND RESPONSIBILITIES:
• Assemble analysis data sets based on interpretation of statistical analysis plans and consultation with biostatisticians and clinical investigators
• Develop code for reports used in study management and independently review code from other team members for efficiency and coding standards
• Closely review data; produce code to systematically validate data and identify data issues; work with data management to resolve those issues
• Advise in the development of study databases
• Understand and utilize relevant application programming interfaces (APIs)
• Develop and maintain pipelines for logging and maintaining reproducible code
• Produce efficient, readable, error-resistant, extensible, and well-documented code
• Utilize effective version control and maintain systems to protect source data and archives
• Implement functional programming and assist others in optimally utilizing those functions
• Understand and utilize concepts of advanced R (https://adv-r.hadley.nz/) and SAS
• Independently develop coding specifications based on study protocol
• Generate data reports for external safety monitoring boards, including tables, figures, and listings, and assist in the design of these reports
• Generate custom and de-identified datasets for data repositories, ancillary studies, and public distribution
• Collaborate with clinical investigators and biostatisticians in preparation of tables and figures for study manuscripts. Help with manuscript review and validation of data abstraction
• Assist in onboarding, training, and mentoring Statistical Programmer I’s
• Engage in professional development opportunities
SKILLS AND COMPETENCIES:
Applicants should meet the following qualifications:
• Bachelors (BS/BA) or Masters (MS/MA/MPH) in Biostatistics, Statistics, Data Analytics, Data Science, Epidemiology, Computer Science, Mathematics, Engineering, Life Science or related field.
• Strong background in fundamental programming logic, algorithmic programming, and database manipulation, including facility with SQL
• Strong background in statistical programming using SAS or R
• Strong communication skills including proficiency in written and spoken English
• Exceptional attention to detail
• Deep knowledge of programming concepts
• Advanced ability to identify potential issues in data and in code
• Strong ability to identify and resolve issues, manage competing priorities, and meet timelines consistently
• Self-motivated with a commitment to producing high quality, on-time deliverables
• Excellent written and verbal communication skills, with the ability to effectively collaborate with multidisciplinary teams
• Team-oriented mindset with the ability to foster collaboration and build productive working relationships
Field of Study/Additional Specialized Training:
Biostatistics, Statistics, Data Analytics, Data Science, Epidemiology, Computer Science, Mathematics, Engineering, Life Science, or related field
Job Summary
Summary<br>Responsible for extracting knowledge and insights from data in order to investigate business/operational problems through a range of data preparation, modeling, analysis, and/or visualization techniques.<br><br>Does this position require Patient Care?<br>No<br><br>Essential Functions<br>-Collects, analyzes, and reports data to support decisions on day-to-day operations, strategic planning, and/or specific business performance issues. <br>-Collates, models, interprets, and analyzes data. <br>
-Explains variances and trends in data. <br>
-Identifies and documents enhancements to modeling techniques. <br>
-Completes thorough quality assurance procedures, ensuring accuracy, reliability, trustworthiness, and validity of work. <br>
-Performs data validation of source-to-target data for data visuals and dashboards. <br>
Qualifications
Education
Bachelor's Degree Analysis required or Bachelor's Degree Related Field of Study required
Can this role accept experience in lieu of a degree?
Yes
Licenses and Credentials
Experience
Experience working with data, preferably healthcare data 2-3 years required
Knowledge, Skills and Abilities
- Healthcare knowledge, particularly as it pertains to electronic medical record data, is preferred but not required.
- Working knowledge of relational databases, SQL, data visualization, and Business Intelligence tools such as Tableau.
- Knowledge and application of statistical analyses, including variance analysis and statistical significance, are preferred.
- Project management skills and/or experience are a plus.
- Proficiency with Microsoft Office Suite, including Word, Excel and PowerPoint.
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
$63,648.00 - $90,750.40/Annual
Grade
6
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.