Computational Biologist — Multimodal and Foundation Models for Breast Cancer

About the role

The Computational Biologist I is responsible for routine data analysis or processing of biological data, with a focus on high-throughput technologies and genomic databases. This role involves collaborating with scientific investigators and other research staff in the analysis of high-throughput data and the dissemination of scientific results.

Responsibilities

• Data Processing: Uses existing tools to build data processing pipelines to convert raw data into formats compatible with conventional statistical analysis and visualization.
• Data Analysis: Performs routine analysis for which established tools exist and are considered reliable. Keeps up with the computational biology literature to ensure pipelines components are up to date.
• Data and Software Management: Monitors, downloads, organizes, and manages data from public data repositories or generated by collaborators. Evaluates published tools and updates pipeline as necessary.
• Manuscript Preparation: Drafts the computational biology sections of a manuscript; assists in writing the results section; checks manuscripts for numerical accuracy; prepares tables and figures.
• Grant Preparation: Helps to formulate specific aims, explains options for experimental design, and develops data analysis plans.
• Research Portfolio Management: Develops timelines and components for multiple routine projects; masters multi-tasking so that complex projects involving many interdisciplinary individuals move forward smoothly.
• Team Interactions: Offers peer-to-peer training for new statisticians in design, analysis, and presentation of results. Offers insight into career growth to more junior statisticians.

Requirements

The position requires a bachelor's degree in a STEM field, with a master's degree in bioinformatics, computational biology, statistics, biostatistics, computer science, or life sciences preferred. Candidates need at least 1 year of experience with a bachelor's degree or no experience with a master's degree, with academic research or authorship in scientific publications potentially substituting for work experience.

Qualifications

• Bachelor's degree in a STEM field
• Master's degree in bioinformatics, computational biology, statistics, biostatistics, computer science, or life sciences preferred
• At least 1 year of experience with a bachelor's degree or no experience with a master's degree, with academic research or authorship in scientific publications potentially substituting for work experience

Skills

• Computational Skills: Knowledge of UNIX/Linux; familiarity with scripting in Python and statistical programming using R
• Data analysis Skills: Familiarity with principles of experimental design and the modern data analysis paradigms is required
• Collaboration: Ability to discuss and present results, share ideas accurately, and communicate them effectively, both in writing and verbally
• Strong interpersonal skills – ability to effectively interact with all levels of staff and external contacts
• Excellent analytical, organizational, and time management skills

Benefits

Located in Boston and the surrounding communities, Dana-Farber Cancer Institute offers a supportive and inclusive environment where every patient, family, and staff member feels they belong. As a leader in life-changing breakthroughs in cancer research and patient care, Dana-Farber Cancer Institute strives to create programs that promote public health particularly among high-risk and underserved populations. The institute conducts groundbreaking research that advances treatment, educates tomorrow's physician/researchers, and works with amazing partners, including other Harvard Medical School-affiliated hospitals.

Pay

$75,000.00 - $91,500.00

Schedule

N/A