NGS/Deep Learning Bioinformatics Intern

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At Exact Sciences, we’re helping change how the world prevents, detects and guides treatment for cancer. We give patients and clinicians the clarity needed to make confident decisions when they matter most. Join our team to find a purpose-driven career, an inclusive culture, and robust benefits to support your life while you’re working to help others.

Position Overview

We are seeking a motivated and enthusiastic summer intern to join our bioinformatics team. This internship will provide hands-on experience in testing and benchmarking start-of-art deep learning-based variant callers, contributing to cutting-edge research in genomic data analysis. The intern will work closely with our bioinformatics scientists, gaining practical skills in variant calling pipelines, data processing, and performance evaluation.

Essential Duties

Include, but are not limited to, the following:

• Set up and run deep learning-based variant calling tools including DeepSomatic on synthetic or R&D generated genomic datasets.
• Test and benchmark various variant callers, focusing on accuracy, speed, and resource utilization.
• Analyze and compare results from different tools to determine their strengths and weaknesses.
• Collaborate with team members to refine evaluation criteria and report findings.
• Document processes, results, and insights gained during testing.
• Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.
• Support and comply with the company’s Quality Management System policies and procedures.
• Maintain regular and reliable attendance.
• Ability to act with an inclusion mindset and model these behaviors for the organization.

Scheduling requirements:

• Ability to work designated schedule from June 2025 to August 2025.

Physical requirements:

• Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 100% of a typical working day.

Minimum Qualifications

• Senior Masters or Ph.D. student, majoring in Bioinformatics, Computational Biology, Data Science or a related field
• Have extensive experience of handling and analyzing Next Generation Sequencing (NGS) datasets.
• Familiarity with major bioinformatics algorithms, particularly variant calling process.
• Have experience with genomics data preprocessing and feature engineering.
• Must have a good understanding of genomics data and bioinformatic algorithm development process
• Experience with deep learning frameworks, concepts and techniques.
• Strong problem-solving skills and attention to detail.
• Good communication skills and the ability to work independently.
• Demonstrated ability to perform the essential duties of the position with or without accommodation.
• Authorization to work in the United States without sponsorship.

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Salary Range:

$37,000.00 - $59,000.00

The annual base salary shown is for this position located in US - CA - San Diego on a full-time basis, and may differ by hiring location.

Exact Sciences is proud to offer an employee experience that includes paid time off (including days for vacation, holidays, volunteering, and personal time), paid leave for parents and caregivers, a retirement savings plan, wellness support, and health benefits including medical, prescription drug, dental, and vision coverage. Learn more about our benefits.

Our success relies on the experiences and perspectives of a diverse team, and Exact Sciences fosters a culture where all employees can develop personally and professionally with a sense of respect and belonging. If you require an accommodation, please contact us here.

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We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to age, color, creed, disability, gender identity, national origin, protected veteran status, race, religion, sex, sexual orientation, and any other status protected by applicable local, state, or federal law. Any applicant or employee may request to view applicable portions of the company’s affirmative action program.

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