Postdoctoral Fellow - Spatial Omics & Oncology Software

Boston Medical Center; Boston (MA); On-site; USD 66,000 - 96,000; Full time

Benefits offered by this job

Competitive pay

Tuition reimbursement

Medical/Dental/Vision insurance

Career development

Pioneering research

Job summary

Boston Medical Center in Boston, MA invites applications for a Postdoctoral Research Fellow in Hematology and Oncology Research. The role focuses on developing scalable computational methods and high-performance software tools for spatial omics data analysis, combining software engineering with oncology research.

The successful candidate will design analytical pipelines using R, SQL, and Rust, assist lab members with data analysis, and contribute to manuscript preparation under PI supervision.

Qualifications

• Requires PhD in Genomics, Computational Biology, Computer Science, or related field, with strong programming fundamentals and translational data interest.
• Strong analytical and mathematical skills.
• Excellent oral and written communication; ability to collaborate across disciplines.

Responsibilities

• Performs analyses of clinical case data to evaluate methods.
• Designs protocols and selects analysis techniques.
• Advises on method development and writing abstracts.
• Collaboratively designs experimental protocols to achieve objectives.
• Develops and modifies methodologies; records and analyzes data.
• Participates in interpretation of results and presentation of findings.

Skills

Analytical skills

Communication skills

Collaboration

Programming fundamentals

Education

PhD in Genomics/Computational Biology/CS

Tools

R

SQL

Rust

Job description

Boston Medical Center in Boston, MA invites applications for a Postdoctoral Research Fellow in Hematology and Oncology Research. The role focuses on developing scalable computational methods and high-performance software tools for spatial omics data analysis, combining software engineering with oncology research.

The successful candidate will design analytical pipelines using R, SQL, and Rust, assist lab members with data analysis, and contribute to manuscript preparation under PI supervision.