Brigham and Women's Hospital
Overview
We are seeking a motivated Bioinformatics Engineer to join 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.
Responsibilities
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.
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
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%)
The Brigham and Women\'s Hospital, Inc. is an Equal Opportunity Employer. By embracing diverse skills, perspectives and ideas, we choose to lead. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
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We are seeking a motivated Bioinformatics Engineer to join 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.
Responsibilities
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.
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
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%)
The Brigham and Women\'s Hospital, Inc. is an Equal Opportunity Employer. By embracing diverse skills, perspectives and ideas, we choose to lead. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.
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