"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.

Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS, and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals.

• 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

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