Associate Computational Biologist

The Associate Computational Biologist is training to become a Computational Biologist. They are responsible for routine data analysis or processing of biological data, with a focus on high-throughput technologies and genomic databases, under the supervision of mentor. The Computational Biologist is a quantitative scientist who collaborates with scientific investigators and with other research staff in the analysis of high-throughput data, and dissemination of scientific results. The Computational Biologist may work on many types of projects and areas of research including cancer genomics, functional genomics, immuno-oncology, molecular imaging, data management and integration, and querying biological databases.

• Data Processing: Builds data processing pipelines to convert raw data into formats compatible with conventional statistical analysis and visualization under supervision of mentor
• Data Analysis: Follows a detailed manual to perform routine
• Data and Software Management: Monitors, downloads, organizes, and manages data from public data repositories or generated by collaborates
• Manuscript Preparation: Helps prepare tables and figures
• Research Portfolio Management: Trains to develops timelines and components for multiple routine projects; masters multi-tasking so that complex projects involving many interdisciplinary individuals move forward smoothly
• Works with postdoctoral mentor Priyanka Sharma to complete ribosome profiling analysis from start to final graphs. This will include building genotype-specific RNA expression maps that include aberrant RNA species (ptRNAs and ERV RNAs) and predicting novel open reading frames for interpretation of immunopeptidomic data.
• Collaborate with Priyanka to expedite analysis of direct RNA long-read sequencing data for gene expression and RNA modifications, with the goal of this reaching submission February 2027.
• Complete single cell RNA sequencing pipelines for mutant and wild-type CDK13 patient samples. Help Megan to identify the correct controls for the literature and take ownership over this part of the project.

KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:

• Knowledge of UNIX/Linux. Familiarity with scripting in Python and statistical programming using R
• Familiarity with principles of experimental design and the modern data analysis paradigms is required
• Able to discuss and present results, share ideas accurately and communicate them effectively, both in writing and verbally with supervisory oversight
• Strong interpersonal skills - ability to effectively interact with all levels of staff and external contacts
• Excellent analytical, organizational and time management skills

MINIMUM JOB QUALIFICATIONS:

The position requires a bachelor's degree in a STEM field, with no prior experience necessary.

SUPERVISORY RESPONSIBILITIES: None

PATIENT CONTACT: None