System Analytics Intern

Rapidly Growing Life Sciences Technology Company

Ultima Genomics is a rapidly growing company that is developing ground-breaking genomics technologies. Our mission is to continuously drive the scale of genomic information to enable unprecedented advances in biology and improvements in human health. We have developed a foundational new approach to sequencing at scale that overcomes limitations due to the high costs of current technologies. We are well-funded and have raised approximately $600 million from global top-tier investors. Our team brings together unique and diverse expertise across multiple disciplines, from healthcare and life sciences, to engineering, to technology and software and beyond. We are a collaborative group, including successful entrepreneurs, chemists, hardware and software engineers, genomics and biotechnology experts, molecular and computational biologists, software and algorithm experts, and operations and commercial leaders. Join us to develop and commercialize technologies that unleash the power of genomics at scale and empower the future of human health. 

We are looking for a highly motivated System Analytics Intern to join our System Analytics team!

We are an analytics and bioinformatics team in a high-tech, fast-paced, R&D environment. We produce internal-facing tools to monitor sequencer performance and uncover drivers of data quality. Our customers and collaborators are scientists and engineers across the company, from biology and chemistry to optics and systems engineering. Our internship program offers real-life, hands-on biotech analytics experience, coaching and mentoring, and networking opportunities. Experience what it’s like to work in a company that is developing ground-breaking genomics technology and products that will transform the future of medical and life sciences.   

This internship also offers graduates priority consideration for full-time hires in 2027.

How You’ll Contribute

• Work in a fast-paced cross-functional, technologically advanced corporate environment in an internship program focused on developing individual engineers capable of pursuing careers in biotech

• Improve your industry knowledge through a collaborative work environment 

• Develop AI solutions for internal facing analytics tools

Qualifications, Skills, Knowledge & Abilities

• Currently a student in an accredited degree program pursuing a bachelor’s or master’s degree in Computer Science, Engineering, or Physics.

• At least 1 year of programming experience

• Experience with statistics and data science

• Experience with LLMs/genAI and associated tooling

• Have an overall cumulative GPA of 3.00 or higher

• Ability to work onsite and work full-time (40 hours per week) for at least 8 weeks during summer 2026

• Self-motivated, detail-oriented, willing to learn, and interested in working in a team environment

• Great work ethic and an enthusiasm for problem-solving

• Good presentation, writing and communication skills

• Strong organizational and analytical skills

What to include when you apply: 

• Cover letter should include:

  • Description of your relevant experience and qualifications

  • List your availability for the internship (start date and end date)

  • Expected graduation year

  • How you found out about the internship

• Resume (PDF)

• Unofficial academic transcripts

• A project portfolio, GitHub repository, or sample work of any kind, if possible

At Ultima Genomics, this internship pays between $30 and $36 per hour, and your hourly rate will depend on your skills, qualifications, experience, and location.

Ultima Genomics is proud to be an equal opportunity workplace and is an affirmative action employer. We provide equal employment opportunity for all applicants and employees. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws.