Bioinformatics Analyst III - # 26-15006

US Tech Solutions, Inc.

Cambridge, MA

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JOB DETAILS

SALARY

$55–$59.50 Per Hour

SKILLS

Analysis Skills, Artificial Intelligence (AI), Bioinformatics, Biology, Biostatistics, Cell Analysis, Cell Biology, Cloud Computing, Communication Skills, Computer Science, Construction, Cross-Functional, Data Science, Data Sets, Detail Oriented, Disease, Documentation, Establish Priorities, Genetics, Git, Identify Issues, Immunology, Machine Learning, Python Programming/Scripting Language, Regulations, Science Library, Source Code/Configuration Management (SCM)

LOCATION

Cambridge, MA

POSTED

1 day ago

Duration: 6 months Contract

Job Description:
The successful candidate will work closely with stakeholders across the TIEV (Target Identification and Validation in Immunology Discovery) group to advance the Single-Cell Atlas initiatives. The role will focus on analyzing large-scale single-cell transcriptomic and epigenomic datasets to build reference maps, define tissue-specific niches, and uncover their roles in health and disease.

Key Responsibilities:

Curate, harmonize, and analyze large-scale scRNA-seq and scATAC-seq datasets from internal and public sources.
Integrate multi-modal data to support single-cell atlas construction.
Develop and apply computational and AI/ML methods to classify cell states, identify regulatory networks, and generate disease-relevant insights.
Support interpretation of model outputs to better understand cell-state biology, tissue-specific function, and fibroblast heterogeneity.
Collaborate with immunology, computational, and cross-functional stakeholders to translate biological questions into computational solutions.
Document data curation, processing, and analysis pipelines to ensure reproducibility and transparency.
Contribute to time-sensitive projects supporting target discovery and prioritization.

Qualifications:

MS degree with 5+ years of experience, or PhD with 0+ years of experience, in a quantitative field such as Bioinformatics, Computational Biology, Computer Science, Computational Genetics, Biostatistics, AI/Machine Learning, or a related discipline.
Proficiency in Python and standard ML/data science libraries.
Experience working in HPC or cloud environments for large-scale omics datasets.
Domain knowledge in single-cell analysis, chromatin accessibility analysis, or systems immunology.
Strong attention to detail, documentation, and communication skills.
Ability to independently design, execute, and troubleshoot computational workflows.

Preferred Technical Skills:

Experience with NumPy, Pandas, Scikit-learn, Matplotlib, and Seaborn.
Familiarity with TensorFlow and/or PyTorch.
Proficiency with Git for version control and collaboration.
Hands-on experience with single-cell analysis tools such as Scanpy, Seurat, or Bioconductor.
Exposure to multi-modal integration methods such as CITE-seq, ATAC-seq, or spatial transcriptomics.

Additional Technical Skills (a plus):

Experience with cell type annotation, clustering, and trajectory inference.
Knowledge of regulatory network inference and peak-to-gene linking.
Experience building multi-modal AI/ML models that connect transcriptomic, proteomic, and imaging data.

1. About US Tech Solutions:
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com.
2. Equal Employment Opportunity (EEO) Statement:
US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
3. AI Statement:
By applying, you acknowledge that AI-assisted tools may be used during hiring.

About the Company

US Tech Solutions, Inc.

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