Computational Biologist jobs in United States
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UMass Chan Medical School · 23 hours ago

Computational Biologist

UMass Chan Medical School is seeking a Computational Biologist to join an interdisciplinary research group focusing on autoimmune disease mechanisms. The role involves analyzing large-scale datasets, developing analysis methods, and integrating genetic and clinical data to build predictive models of disease progression.

EducationHigher EducationMedical
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H1B Sponsor Likelynote

Responsibilities

Process, analyze, and interpret large-scale datasets including bulk and single-cell RNA-seq, ATAC-seq, proteomics, and spatial transcriptomics
Develop new analysis methods as needed and as they arise during investigations
Perform clustering, trajectory inference, and regulatory network reconstruction to define immune cell states and pathways relevant to autoimmune pathogenesis
Work closely with clinicians, immunologists, and experimentalists to formulate biologically grounded hypotheses and computational analyses
Integrate genetic, molecular, and clinical features to identify mediators linking genotype to phenotype using mediation and causal inference frameworks (e.g., Bayesian networks)
Combine data from wearable sensors (e.g., Fitbit activity, sleep, heart rate), clinical surveys, and biomarker measurements to model temporal dynamics of disease activity
Present findings in lab meetings, consortium calls, and scientific conferences; contribute to manuscripts and grant proposals
Generate publication-quality figures and interactive visualizations that communicate complex data intuitively

Qualification

RPythonStatistical modelingData visualizationUnix/Linux environmentsMachine learningHuman geneticsCausal inferenceMulti-omic data analysisImmunology knowledgeContainerizationWorkflow management systems

Required

Masters degree in Computational Biology, Bioinformatics, Genetics, Statistics, Physics, Math or a related quantitative field; Ph.D. strongly preferred
1-3 years of related experience
Strong proficiency in R or Python, statistical modeling, and data visualization
Strong understanding of linear models, mixed-effect models, and in general machine learning approaches to complex datasets
Experience working in Unix/Linux environments and using HPC or cloud-based computational resources

Preferred

Background in human genetics or clinical genomics, including genotype imputation, association testing, and fine-mapping
Experience with integrative or multi-omic data analysis and familiarity with single-cell and spatial transcriptomic data
Knowledge of causal inference, longitudinal modeling, or Bayesian hierarchical modeling
Exposure to wearable-device or digital-phenotyping datasets and experience linking such data to molecular or clinical outcomes
Understanding of immunology or autoimmune disease biology
Familiarity with containerization (Docker/Singularity), workflow management systems (Snakemake, Nextflow), and reproducible-research practices

Company

UMass Chan Medical School

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Massachusetts’ first and only public academic health sciences center is made up of three graduate schools.

H1B Sponsorship

UMass Chan Medical School has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (2)
2022 (1)
2021 (1)

Funding

Current Stage
Late Stage
Total Funding
$13.6M
Key Investors
Centers for Disease Control and PreventionCommonwealth of Massachusetts
2025-11-18Grant· $2M
2024-04-03Grant· $11.6M

Leadership Team

M
Marc Uknis
Adjunct Associate Professor Of Surgery, Microbiology & Applied Physiology
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Michael Collins
Chancellor
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