Bioinformatics Scientist Intern, MRD - Summer 2026 Job at Exact Sciences, San Diego, CA

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  • Exact Sciences
  • San Diego, CA

Job Description

Help us change lives

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 looking for a highly motivated summer intern to join the Minimal Residual Disease (MRD) program at Exact Sciences. The intern will work closely with senior bioinformatics scientists to develop novel methods for identifying and integrating genomic and epigenetic biomarkers to improve the sensitivity and specificity of MRD assays. This role involves end-to-end participation in the data science workflow, including collecting public datasets, curating internal data, forming hypotheses, building and validating models, and exploring machine learning and AI-based approaches. The ideal candidate should be pursuing a PhD in Bioinformatics, CS, mathematics or data sciences.

This position is onsite at our San Diego office.

Essential Duties

Include, but are not limited to, the following:
  • Analyze genomics data including NGS data.
  • Apply and evaluate machine learning and AI techniques for biomarker discovery.
  • Collect and curate public and internal datasets relevant to MRD research.
  • Program in python and/or R efficiently.
  • Able to use computing resources on AWS effectively.
  • Summarize the work for internal discussion and result sharing.

Scheduling Requirements
  • Ability to work designated schedule.

Minimum Qualifications
  • Currently pursuing or recently completed Ph.D. in Computer Science, Bioinformatics, Data Science, Mathematics or a related field. Preference giving to candidates with a record of outstanding academic achievement.
  • Strong expertise in machine learning, including familiarity with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch) and model evaluation techniques.
  • Strong background in statistical analysis.
  • Experience with genomics data preprocessing, feature engineering.
  • Demonstrated ability to perform the essential duties of the position with or without accommodation.
  • Authorization to work in the United States without sponsorship.

Preferred Qualifications
  • Experience with deep learning frameworks and techniques.
  • Experience handling and analyzing large NGS datasets.
  • Familiar with relational databases and SQL.

#LI-AT1

Salary Range:
$40,250.00 - $64,400.00

The annual base salary shown is for this position located in US - CA - San Diego on a full-time basis.

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.

Not ready to apply? Join our Talent Community to stay updated on the latest news and opportunities at Exact Sciences.

We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, and any other status protected by applicable local, state, or federal law.

To view the Right to Work, E-Verify Employer, and Pay Transparency notices and Federal, Federal Contractor, and State employment law posters, visit our compliance hub. The documents summarize important details of the law and provide key points that you have a right to know.

Job Tags

Full time, For contractors, Summer work, Internship, Summer internship, Work at office, Local area,

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