Associate Computational Biologist

Overview

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

• 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

At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff who offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and compassionate professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply.

Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law.

Pay Transparency Statement

The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate’s relevant experience, skills and qualifications.

For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA).