Senior Scientist Bioscience

Zenith LifeScience LLC.

Cambridge (MA)

On-site

USD 120,000 - 180,000

Full time

3 days ago
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Job summary

Zenith LifeScience LLC. in Cambridge, MA seeks a Senior Scientist contractor with broad expertise in multiomics, functional genomics, and NGS workflows to support oncology research. The role is on-site in Cambridge with roughly equal time in the lab and in data analysis.

The successful candidate will design and execute omics studies across genomic, transcriptomic, epigenomic, and single-cell approaches, analyze and integrate data, and present findings to cross-functional teams.

Qualifications

  • Ph.D. in molecular biology, cell biology, genomics, computational biology or related field.
  • Hands-on experience designing and executing multiomics or functional genomics studies.
  • Experience with two or more omics modalities (e.g., RNA-seq, ATAC-seq, CUT&RUN).
  • Proficiency in R, Python or equivalent for data analysis.
  • Clear written and verbal communication and cross-functional collaboration.

Responsibilities

  • Design and execute multiomics studies across genomic, transcriptomic, epigenomic, and single-cell assays.
  • Analyze and integrate datasets; present findings to cross-functional teams.
  • Develop reproducible workflows and SOPs.
  • Maintain accurate metadata and project documentation.
  • Stay current with emerging multiomics technologies.
  • Collaborate with internal and external partners on study design and timelines.

Skills

Multiomics study design
Data integration
Communication
Independent project management

Education

Ph.D. in molecular biology, cell biology, genomics, computational biology, or related field

Tools

R
Python
Bioconductor

Job description

Cambridge, MA

12 Months with possibility of conversion

Job Description

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%).

Senior Scientist

Location: Cambridge, MA

Term: 12 Months with possibility of conversion

Job Description

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,, 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.

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