The McGraw/Patterson Center for Population Sciences at the Dana-Farber Cancer Institute (DFCI) is seeking a motivated entry-level Bioinformatics Engineer to join its Data Management team, supporting high-impact research initiatives while contributing to the development of scalable data and AI-driven platforms.

This position is closely aligned with research programs at the Lowe Center for Thoracic (Lung) Oncology, leveraging a robust engineering and multi-cloud ecosystem, and providing a unique opportunity to collaborate directly with research and clinical teams focused on thoracic cancers within a cross-center model.

The successful candidate will work at the intersection of biology, data science, engineering, and AI-supporting immediate research needs while helping design and develop systems that scale across teams, centers, and the broader institute.

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.
 

PRIMARY DUTIES AND RESPONSIBILITIES:

• Designs and develops software, databases and interfaces for analyzing and manipulating biological data. 
• Draws upon knowledge of biology to improve data mining and management techniques.
• Collaborates with laboratory researchers to develop high throughput data processing and analysis capability.
• Adds new software that has been internally developed or imported from outside sources to in-house systems.
• Directs and guides DNA, RNA and protein sequence database searches and the computational analysis of resulting data.
• Provides direct technical and scientific customer support and helps guide, implement and maintain further improvements to bioinformatics software.
• Works with the entire life science team to diagnose and fix issues with software.

MINIMUM JOB QUALIFICATIONS:

Bachelors degree required, MS preferred or PhD in bioinformatics, computer science and/or the life sciences and 0-2 years relevant experience. Performs primary duties as above as directed and requires close to moderate supervision.  

KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:

• Familiarity with simple programming using Perl/Python or Java, statistical programming using R or related tools, web-development, and database query through SQL.
• Familiarity with principles of experimental design and modern data analysis paradigms is required.
• Strong interpersonal skills - ability to effectively interact with all levels of staff and external contacts.
• Excellent analytical, organizational and time management skills.

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.  

EEO Poster

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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).

$75,000.00 - $81,500.00