Mass General Brigham
Job Summary
We are seeking a highly motivated Bioinformatics Specialist to join our research team. This position will focus on implementing and maintaining the hardware and software infrastructure for deep learning, high‑dimensional image analysis using proteomic, genomic and transcriptomic data analysis, and data management/husbandry. The successful candidate will work closely with biologists, computational scientists, and clinicians to extract meaningful insights from multimodal datasets.
Key Responsibilities
Data Management & Computational Infrastructure
Develop and maintain data pipelines for large‑scale imaging and sequencing datasets.
Set up and maintain multi‑user GPU/HPC infrastructure for large‑scale multi‑omics analysis and deep learning model training/inference.
Manage data storage, versioning, and retrieval in compliance with FAIR data principles.
Maintain documentation and reproducible workflows using Snakemake, Nextflow, or WDL.
Multiplex Immunofluorescence Image Analysis & Spatial Biology
Develop and implement workflows for Lunaphore COMET and Singular Genomics G4X multiplexed immunofluorescence image analysis.
Process and analyze high‑dimensional imaging datasets using QuPath, ImageJ, Cellpose, and other computational tools.
Integrate spatial biology data with transcriptomic/genomic data for multimodal analysis.
Genomic & Transcriptomic Data Analysis
Develop and implement workflows for bulk RNA‑seq, single‑cell RNA‑seq, and spatial transcriptomics data analysis.
Conduct NGS analysis, including variant calling, gene expression analysis, and pathway enrichment studies.
Utilize bioinformatics pipelines (STAR, Cell Ranger, Seurat, DESeq2, Monocle, Scanpy) for data processing.
Work with long‑read sequencing (PacBio, Oxford Nanopore) and epigenomics as needed.
Qualifications
MSc or PhD (or BSc with equivalent experience)
in Bioinformatics, Computational Biology, Biostatistics, or related field.
Proficiency in Python, R, Java/Groovy and Bash scripting.
Familiarity with containerized environments (Docker, Apptainer).
Familiarity with machine learning / AI for image and genomic data analysis.
Experience working in Unix/Linux environments and using HPC/cloud‑based pipelines.
Strong organizational skills for handling large and complex datasets.
Ability to collaborate effectively in a multidisciplinary research team.
Employment Details Remote Type:
Onsite
Work Location:
149 Thirteenth Street Building, 149
Scheduled Weekly Hours:
40
Employee Type:
Regular
Work Shift:
Day (United States of America)
Pay Range:
$73,798.40 - $107,400.80 Annual
EEO Statement 1200 The General Hospital Corporation is an Equal Opportunity Employer. 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. To ensure reasonable accommodation for individuals protected under Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran’s Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.
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Key Responsibilities
Data Management & Computational Infrastructure
Develop and maintain data pipelines for large‑scale imaging and sequencing datasets.
Set up and maintain multi‑user GPU/HPC infrastructure for large‑scale multi‑omics analysis and deep learning model training/inference.
Manage data storage, versioning, and retrieval in compliance with FAIR data principles.
Maintain documentation and reproducible workflows using Snakemake, Nextflow, or WDL.
Multiplex Immunofluorescence Image Analysis & Spatial Biology
Develop and implement workflows for Lunaphore COMET and Singular Genomics G4X multiplexed immunofluorescence image analysis.
Process and analyze high‑dimensional imaging datasets using QuPath, ImageJ, Cellpose, and other computational tools.
Integrate spatial biology data with transcriptomic/genomic data for multimodal analysis.
Genomic & Transcriptomic Data Analysis
Develop and implement workflows for bulk RNA‑seq, single‑cell RNA‑seq, and spatial transcriptomics data analysis.
Conduct NGS analysis, including variant calling, gene expression analysis, and pathway enrichment studies.
Utilize bioinformatics pipelines (STAR, Cell Ranger, Seurat, DESeq2, Monocle, Scanpy) for data processing.
Work with long‑read sequencing (PacBio, Oxford Nanopore) and epigenomics as needed.
Qualifications
MSc or PhD (or BSc with equivalent experience)
in Bioinformatics, Computational Biology, Biostatistics, or related field.
Proficiency in Python, R, Java/Groovy and Bash scripting.
Familiarity with containerized environments (Docker, Apptainer).
Familiarity with machine learning / AI for image and genomic data analysis.
Experience working in Unix/Linux environments and using HPC/cloud‑based pipelines.
Strong organizational skills for handling large and complex datasets.
Ability to collaborate effectively in a multidisciplinary research team.
Employment Details Remote Type:
Onsite
Work Location:
149 Thirteenth Street Building, 149
Scheduled Weekly Hours:
40
Employee Type:
Regular
Work Shift:
Day (United States of America)
Pay Range:
$73,798.40 - $107,400.80 Annual
EEO Statement 1200 The General Hospital Corporation is an Equal Opportunity Employer. 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. To ensure reasonable accommodation for individuals protected under Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran’s Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.
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