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

Summary
Responsible for designing statistical models that support clinical research efforts. Designs and develops research projects and manages data and statistical analysis interpretation. May assist a clinical researcher with preparation of reports and documents.

Does this position require Patient Care?
No

Essential Functions
-Draw conclusions or make predictions, based on data summaries or statistical analyses.

• Analyze clinical or survey data, using statistical approaches such as longitudinal analysis, mixed-effect modeling, logistic regression analyses, and model-building techniques.
  
• Write detailed analysis plans and descriptions of analyses and findings for research protocols or reports.
  
• Calculate sample size requirements for clinical studies.
  
• Read current literature, attend meetings or conferences, and talk with colleagues to keep abreast of methodological or conceptual developments in fields such as biostatistics, pharmacology, life sciences, and social sciences.
  
• Design research studies in collaboration with physicians, life scientists, or other professionals.
  

QUALIFICATIONS

Please make sure to discuss qualifications in your cover letter and provide relevant examples in your sample code/GitHub.

• Master’s degree in Biostatistics, Statistics, Computational Neuroscience, Bioinformatics, or related fields.
• Proficiency with statistical software (e.g., R is required; Python, SAS, Stata) and machine learning platforms and techniques.
• Familiarity or strong interest in proteomics data analysis is highly desirable.
• Experience or interest in neuroimaging data analysis and familiarity with imaging data structure (BIDS).
• Strong quantitative skills and experience applying statistical methods to biological and clinical data.
• Excellent communication and teamwork abilities within multidisciplinary teams.
• Independent and highly organized, capable of managing multiple projects and deadlines.

Can this role accept experience in lieu of a degree?
No
Licenses and Credentials

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.

MAIN RESPONSIBILITIES:

• Assist in the design and statistical analysis of studies exploring inflammation-associated proteins in OCD and PANS/PANDAS.
• Perform targeted proteomics analysis and manage proteomic data, creating reproducible visualizations and summary statistics.
• Apply advanced machine learning techniques to identify biomarkers and differentiate symptom states (i.e. flare vs. remission).
• Analyze structural neuroimaging data (e.g., MRI) using established pipelines (Freesurfer, FSL, SPM) and BIDS imaging structure.
• Prepare and manage datasets for publication, contribute to scientific manuscripts, collaborate on presentations at scientific conferences, and assist in the submission of future grant proposals and R01 applications.
• Develop models for person-specific inflammation protein expression levels and contribute to diagnostic tool development.
• Maintain and regularly update GitHub repositories ensuring transparency and reproducibility.
• Participate in coordination research activities, including securing IRB submissions, finalizing study logistics, and coordinating with proteomic analysis providers.
• Train and mentor incoming team members in statistical and proteomic analyses.

Summary
Responsible for designing statistical models that support clinical research efforts. Designs and develops research projects and manages data and statistical analysis interpretation. May assist a clinical researcher with preparation of reports and documents.

Does this position require Patient Care?
No

Essential Functions
-Draw conclusions or make predictions, based on data summaries or statistical analyses.

• Analyze clinical or survey data, using statistical approaches such as longitudinal analysis, mixed-effect modeling, logistic regression analyses, and model-building techniques.
  
• Write detailed analysis plans and descriptions of analyses and findings for research protocols or reports.
  
• Calculate sample size requirements for clinical studies.
  
• Read current literature, attend meetings or conferences, and talk with colleagues to keep abreast of methodological or conceptual developments in fields such as biostatistics, pharmacology, life sciences, and social sciences.
  
• Design research studies in collaboration with physicians, life scientists, or other professionals.