Cancer Biology Omics Associate Data Scientist

Cancer Biology Omics Associate Data Scientist

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The Associate Data Scientist’s primary responsibility will be to assist in the computational analysis of spatial single‑cell transcriptomic and proteomic data from patient tumors generated from platforms such as Cos Mx Spatial Molecular Imager. Analyses will involve identifying spatially localized cellular niches, characterizing immune and epithelial cell states, modeling cell‑cell communication, and uncovering pathways through which host‑microbe interactions influence tumor biology.

• Analyzation and Integration of Single‑Cell and Spatial Omics Data
  • Process and interpret single‑cell RNA‑seq and spatial proteomic and transcriptomic datasets to identify cellular states and tumor microenvironment features.
  • Integrate multimodal data from platforms such as Cos Mx, MIBI, STOmics or Geo Mx to uncover spatial niches and model cell‑cell and host‑microbe interactions.
  • Apply analytical methods including clustering, differential expression, trajectory inference, and spatial proximity analyses.
• Computational Pipelines for Biological Insight Development
  • Build, document, and maintain reproducible analysis pipelines in Python and R for high‑dimensional omics datasets.
  • Conduct pathway enrichment and network‑based analyses to identify biologically relevant trends in cancer and immune responses.
  • Generate publication‑ready visualizations and figures that communicate key findings for manuscripts, grants, and presentations.
• Collaborate, Communicate, and Document Research Outputs
  • Partner with interdisciplinary team members to interpret data, support experimental planning, and contribute to scientific publications.
  • Present analytical results in lab meetings and project discussions to inform ongoing research directions.
  • Maintain well‑organized code, metadata, and supplementary materials to support reproducibility and data sharing.

Required:

Bachelor’s degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or a related field.

Required:

Two years of experience in scientific software or industry development/analysis.

Preferred:
Knowledge of transcriptomics and proteomics is a plus.

• Paid employee medical benefits (zero premium) starting on first day for employees who work 30 or more hours per week
• Group Dental, Vision, Life, AD&D and Disability coverage
• Paid time off (PTO) and Extended Illness Bank (EIB) paid leave accruals
• Paid institutional holidays, wellness leave, childcare leave, and other paid leave programs
• Tuition Assistance Program after six months of service
• Teachers Retirement System defined‑benefit pension plan and two voluntary retirement plans
• Employer paid life, AD&D and an illness‑related reduced salary pay program
• Extensive wellness, recognition, fitness, employee health programs and employee resource groups

• Requisition
• Employment Status:
  Full‑Time
• Employee Status:
  Regular
• Work Week:
  Day/Evening, Days
• Minimum Salary: USD 88,000
• Midpoint Salary: USD 110,000
• Maximum Salary: USD 132,000
• FLSA: exempt and not eligible for overtime pay
• Fund Type:
  Soft
• Work Location:
  
  Hybrid Onsite/Remote
• Pivotal Position:
  Yes
• Referral Bonus Available?:
  Yes
• Relocation Assistance Available?:
  Yes

Entry level

Full-time

Engineering and Information Technology

Hospitals and Health Care