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Bioinformatics NGS Data Analyst

|  Posted On: Jul 17, 2025

Pearl River, NY 10965

12 Months, Contract

On-site

Job Summary

Job Title:  
Bioinformatics NGS Data Analyst

Posted Date:  
Jul 17, 2025

Duration:  
12 Months, Contract

Shift(s):  

08:00 - 16:00


Salary ($): 
40.11 - 41.38 per Hourly (compensation based on experience and qualifications)

Description

 Rangam is seeking candidates for a Contract Hire role as a Bioinformatics NGS Data Analyst  with our client Pfizer, one of the world’s largest pharmaceutical companies. Seeking candidates in Pearl River, NY, or willing to relocate.

 

Position Summary

  • We are seeking a highly motivated contractor with a passion for using high-dimensional single cell immune profiling data in conjunction with innovative computational approaches and systems immunology knowledge to transforming vaccine research.
  • Responsibilities will be developing analytical tools used for bulk RNAseq, single cell RNAseq, TCR sequencing, BCR sequencing, and host immune profiling.
  • This role will integrate multi-omics data with preclinical/clinical data and provide scientific insights to immune responses elicited by vaccines or pathogens.
  • This person will collaborate in a cross-functional teams and make strong impact to all stages of vaccine R&D.

 

Key Responsibilities:

  • Integrate and analyze multi-omics datasets (e.g., transcriptomics, proteomics, metabolomics) to identify biomarkers and molecular signatures relevant to vaccine efficacy and safety.
  • Familiar with state-of-art technology related to bulk RNAseq, single cell RNAseq, TCR profiling, and BCR profiling.
  • Leverage public omics databases (e.g., GEO, ENCODE, UK Biobank, CELL×GENE) to support hypothesis generation and validation. Provides scientific insights to innate and adaptive immune responses induced by vaccines.
  • Ability to handle single-cell data from raw data acquisition to data visualization and data analysis.
  • Develop, document, and maintain reproducible computational pipelines and scripts using R and Python.
  • Communicate complex data and results clearly to both technical and non-technical stakeholders. Collaborate extensively with those from other scientific disciplines from within the group, from other subdivisions of Vaccines R&D, from other divisions of Pfizer, and potentially from external partners.

 

Required Qualifications:

  • Ph.D. in a relevant scientific field with a strong background in computational biology or bioinformatics.
  • Extensive experience in analyzing multi-omics data (e.g., genetics, bulk RNA-seq, single-cell RNA-seq, spatial omics, proteomics, etc.) for biomedical research.
  • Experience in biomarker discovery, particularly in the context of vaccine or immunology research.
  • Familiarity with public omics databases and data repositories.
  • Familiar with Linux environments, high-performance computing and/or cloud computing environment and broad experience with open-source bioinformatics tools to generate immunological insight.
  • Strong communication and collaboration skills with the ability to work effectively in a hybrid team environment.

 

Preferred Qualifications:

  • Extensive hand-on experience generating immunological insight from single cell sequencing data is highly desirable.
  • Knowledge of machine learning techniques applied to biological data.
  • Familiarity with artificial intelligence-empowered multimodal foundation models such as scGPT, UCE, scFoundation, Mal-ID
  • Strong organizational skills and attention to detail in managing multiple projects and deadlines.
  • Ability to document code thoroughly to ensure reproducibility and clarity for collaborative projects.

 

 

Hard Skills:

  • Integrate and analyze multi-omics datasets (e.g., transcriptomics, proteomics, metabolomics) to identify biomarkers and molecular signatures relevant to vaccine efficacy and safety.
  • Familiar with state-of-art technology related to bulk RNAseq, single cell RNAseq, TCR profiling, and BCR profiling.
  • Leverage public omics databases (e.g., GEO, ENCODE, UK Biobank, CELL×GENE) to support hypothesis generation and validation. Provides scientific insights to innate and adaptive immune responses induced by vaccines.

 

Skill:

  • 10X Single Cell, BCR TCR, Bioinformatics, Computational biology, data science, Next Generation Sequencing (NGS), transcriptomics, immunology, Vaccines, proteomics, and Genomics.

 Sunshine Act

 

Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations.  These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure.  Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act.  Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government.  If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.

 

 

EEO & Employment Eligibility

 

It is the policy of Rangam Consultants, Inc. to provide equal employment opportunities to all applicants and employees without regard to any legally protected status such as race, color, religion, gender, national origin, age, disability or veteran status. 

 

To find out more about Rangam, and this role, click the apply button.

 

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