Data Analyst II

Mass General Brigham•Somerville, MA

11h•Hybrid

About The Position

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. Massachusetts General Hospital (MGH) is the largest research hospital in the United States with an annual research budget of over one billion dollars. The Neurological Clinical Research Institute (NCRI) at MGH was formed in 1994 by Dr. Merit Cudkowicz to help foster clinical research in the Department of Neurology and conduct clinical research in neurological disorders. Under the direction of Drs. James Berry, Sabrina Paganoni, and Suma Babu, NCRI functions as a Clinical and Data Coordination Center for research studies and therapeutic trials, including the HEALEY ALS Platform Trial and the MyMatch Trial. NCRI also serves as the Coordination Center for the Network of Excellent in ALS (NEALS) consortium and the NeuroNEXT network. Research at NCRI is supported by a Biostatistics group that includes multiple faculty statisticians, an operational director, and staff biostatisticians and statistical programmers. The group is supplemented by close collaborations with MGH Biostatistics and with colleagues at the Departments of Biostatistics and Epidemiology at the TH Chan School of Public Health at Harvard University. 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.

Requirements

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
Experience working with data, preferably healthcare data 2-3 years 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.

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
Collects, analyzes, and reports data to support decisions on day-to-day operations, strategic planning, and/or specific business performance issues.
Collates, models, interprets, and analyzes data.
Explains variances and trends in data.
Identifies and documents enhancements to modeling techniques.
Completes thorough quality assurance procedures, ensuring accuracy, reliability, trustworthiness, and validity of work.
Performs data validation of source-to-target data for data visuals and dashboards.