Bioinformatics Engineer bei Mass General Brigham
Mass General Brigham · Boston, Vereinigte Staaten Von Amerika · Onsite
- Professional
- Optionales Büro in Boston
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
We are seeking a motivated Bioinformatics Engineer to join the Walt Lab at Brigham and Women’s Hospital. The ideal candidate will have experience working with large, complex datasets, transforming them into analysis-ready formats, and leveraging high-performance computing for machine learning and statistical modeling. This role focuses on developing scalable pipelines to process real-world electronic health records (EHR) and clinical data, enabling data-driven discovery in collaboration with clinical and research teams—with the ultimate goal of advancing diagnostic technologies for low- and middle-income countries. This position is an excellent opportunity for someone with strong data analysis or computational experience who is eager to apply those skills to cutting-edge biological and clinical research.Data Engineering & Analysis
• Design and implement pipelines for processing large-scale electronic health records and clinical datasets
• Develop automated data cleaning, validation, and quality control workflows
• Build scalable data processing systems capable of handling multi-million record datasets
• Create and maintain data transformation scripts for standardizing clinical data formats
• Collaborate with clinical scientists to translate research questions into analytical workflows
• Ensure all data processing activities comply with HIPAA, IRB protocols, and institutional data governance policies
Machine Learning & AI Implementation
• Develop and deploy machine learning models for clinical prediction and classification tasks
• Implement feature engineering strategies specific to clinical and biomedical data
• Build model validation frameworks appropriate for healthcare applications
• Create automated model monitoring and performance evaluation systems
• Stay current with ML/AI best practices in healthcare and regulatory requirements
This position involves working with sensitive patient data in secure computing environments. The role requires collaboration with clinical researchers, IT teams, and regulatory compliance officers. Some projects may involve tight deadlines related to clinical studies or regulatory submissions.
Qualifications
Education
Bachelor's, Master's, or PhD in Bioinformatics, Computer Science, Bioengineering, Statistics, Mathematics, or a related quantitative field
Can this role accept experience in lieu of a degree?
Yes
Experience
Experience in bioinformatics engineering or other software engineering 1-2 years required
Experience with large-scale data processing and analysis
Understanding of statistical methods and experimental design principles
Proficiency in Python for data transformation, analysis, and visualization
Experience with distributed, parallel, or cloud computing environments
Familiarity with machine learning tools (scikit-learn, PyTorch, or TensorFlow)
Knowledge, Skills and Abilities
- Strong interpersonal skills and ability to effectively interact with all levels of staff and external contacts.
-Solid analytical, organization, and time management skills.
-Strong analytical and problem-solving skills
-Excellent communication and documentation habits
-Ability to work independently and collaboratively across multidisciplinary teams
-Familiarity with cloud-based and containerized computing environments
-Knowledge of HIPAA compliance, PHI handling, and secure data environments
-Understanding of EHR data structures and clinical coding systems (ICD-10, LOINC, etc.)
-Experience with workflow management systems
-Experience with data governance and reproducibility best practices
-Commitment to data integrity, security, and reproducible research-Back-end and API development using programs such as Python, NodeJS, C#, Java, R, and/or Perl.
- SQL proficiency.
- Web development using programs such as Angular 6+ and Python Flask.
- Familiarity with SDLC principles.
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
$73,798.40 - $107,400.80/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.
