Computational Associate

Mass General Brigham · United States

Site: The General Hospital Corporation 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: 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. 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.

• Develop and apply machine learning and computer vision models for digital pathology and whole-slide image analysis.
• Analyze genomic, transcriptomic, epigenomic, and spatial biology datasets.
• Build computational workflows that integrate pathology images, molecular data, and clinical outcomes.
• Support biomarker discovery and prognostic model development through multimodal data analysis.
• Collaborate with a multidisciplinary team and contribute to scientific presentations, manuscripts, and publications.

• Bachelor's or Master's degree in Computer Science, Bioinformatics, Computational Biology, Biomedical Engineering, Statistics, Data Science, Genetics, Epidemiology, or a related quantitative field
• Proficiency in Python and/or R programming
• Experience with or strong interest in machine learning, artificial intelligence, bioinformatics, computational biology, or biomedical data science
• Strong analytical, organizational, communication, and collaboration skills
• Experience with digital pathology, whole-slide image analysis, computer vision, or medical imaging applications
• Familiarity with deep learning frameworks such as PyTorch or TensorFlow
• Experience analyzing genomics, RNA sequencing, spatial transcriptomics, single-cell, or epigenomic datasets
• Experience integrating and interpreting multiple biological data modalities across complex research projects

• Work on innovative research combining AI, digital pathology, genomics, and precision medicine.
• Collaborate with world-class investigators at Massachusetts General Hospital and Harvard Medical School.
• Gain hands-on experience with advanced computational and translational research methodologies.
• Receive mentorship and opportunities for scientific authorship, presentations, and career development.
• Contribute to discoveries that improve the understanding and treatment of cancer.

• 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.