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Senior Scientist Bioscience

|  Posted On: Oct 15, 2026

location:Cambridge, MA 02142

Duration:12 Months, Contract

mode of work:On-site

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Job Summary

Job Title:  
Senior Scientist Bioscience
Posted Date:  
Oct 15, 2026
Duration:  
12 Months, Contract
Shift(s):  
  • 09:00 - 17:00
Salary ($): 
52.94 - 61.00 per Hourly (compensation based on experience and qualifications)
We care about you! Explore Rangam’s benefits information

Talk to our Recruiter

Name:
 
Mohd Nayeem Uddin

Email:
 
mohd@rangam.com

Phone:
 
973-788-8117

Description

hours: 9-5
Duration - 1 year possible conversion

Senior Scientist Contractor – Multiomics, Oncology Bioscience

Position Summary

We are seeking a highly motivated Senior Scientist contractor with broad expertise in multiomics, functional genomics, and next-generation sequencing (NGS) workflows to support oncology research. This hands-on role will be based in Cambridge, Massachusetts, with responsibilities divided approximately equally between laboratory work (50%) and data analysis (50%).

The successful candidate will design and execute multiomics studies spanning genomic, transcriptomic, epigenomic, and single-cell approaches; analyze and integrate resulting datasets; and communicate findings to cross-functional project teams. The role requires strong experimental judgment, computational capability, and the ability to independently advance multiple projects in a collaborative research environment.

Key Responsibilities

  • Devote approximately 50% of time to laboratory work, including experimental design, sample preparation, assay execution, optimization, troubleshooting, and documentation.
  • Perform and coordinate multiomics assays, including RNA-seq, ATAC-seq, CUT&RUN, and single-cell workflows, using fit-for-purpose approaches for each study.
  • Devote approximately 50% of time to data analysis, including quality control, processing, visualization, interpretation, and reporting across multiple omics data types.
  • Integrate genomic, transcriptomic, epigenomic, and single-cell datasets to generate biologically meaningful insights and support target discovery and validation.
  • Develop, optimize, and document robust, reproducible experimental and analytical workflows and standard operating procedures.
  • Maintain accurate sample metadata, experimental records, analysis outputs, and project documentation to enable cross-study data integration.
  • Present integrated findings and recommendations clearly to scientists and cross-functional project teams.
  • Collaborate with internal colleagues and external partners to coordinate study design, execution, data delivery, and timelines.
  • Stay current with emerging multiomics technologies and analytical approaches, and recommend fit-for-purpose methods.
  • Follow laboratory safety, data integrity, and quality standards.

Required Qualifications

  • Ph.D. in molecular biology, cell biology, genomics, bioinformatics, computational biology, or a related discipline, with relevant research experience.
  • Demonstrated hands-on experience designing and executing multiomics or functional genomics studies.
  • Experience with two or more complementary omics modalities, such as bulk or single-cell RNA-seq, ATAC-seq, CUT&RUN, DNA sequencing, proteomics, or related workflows.
  • Demonstrated ability to analyze, integrate, and interpret complex multiomics datasets using appropriate computational tools, quality-control methods, and clear visualizations.
  • Working proficiency in commonly used data-analysis environments such as R, Python, or equivalent tools.
  • Strong experimental design, troubleshooting, problem-solving, and organizational skills.
  • Ability to manage multiple priorities, work independently, and deliver high-quality results on schedule.
  • Clear written and verbal communication skills and demonstrated effectiveness in cross-functional collaboration.

Preferred Qualifications

  • Experience automating NGS sample preparation or related laboratory workflows.
  • Experience integrating multiomics datasets to identify biological mechanisms, biomarkers, or therapeutic opportunities.
  • Experience supporting oncology drug discovery or translational research.
  • Familiarity with sample tracking systems, reproducible analysis workflows, cloud or high-performance computing environments, and data-management best practices.

Work Arrangement

This is a contractor position based in Cambridge, Massachusetts. The role requires regular on-site laboratory work, with the remaining time focused on data analysis, interpretation, documentation, and collaboration.

AI-Assisted Application Screening

As part of our recruitment process, we may use automated tools or AI-enabled technologies to assist with resume screening and candidate matching. These tools help our recruitment team review applications more efficiently, but they do not make hiring decisions. All final decisions are made by human reviewers.