2027 Summer Intern - Translational Research

kyowakirinusa90; Princeton (NJ); Hybrid; USD 32,000 - 34,000; Full time

Benefits offered by this job

Hybrid work schedule (2–3 days on-site

Job summary

Kyowa Kirin North America, Inc. seeks a highly motivated university student for a Translational Research internship focused on omics analysis of clinical trial data.

You will explore relationships between gene/protein expression and treatment response, aiming to improve clinical outcomes. The internship is paid and temporary, designed for rising juniors or seniors within a commutable distance of Princeton, NJ.

Qualifications

• Rising junior or senior majoring in Molecular Biology, Proteomics, Bioinformatics, Biostatistics, or related Biological Science field.
• Available to work May 25, 2027 to August 20, 2027.
• Minimum GPA of 3.0.
• Hybrid work schedule near Princeton, NJ with commutable distance.
• Eligible to work in the United States without sponsorship.

Responsibilities

• Download, prepare datasets, and analyze omics and genetic screening data.
• Utilize bioinformatics tools and contribute to genomics data analytics processes including AI/ML-based predictive analytics.
• Coordinate with vendors and CROs on data transfer, QC and reconciliation.
• Collaborate with US and Japan teams.

Skills

Bioinformatics

R

Python

Communication

Education

Molecular Biology, Proteomics, Bioinformatics, Biostatistics or related Biological Science degree

Tools

R

Python

SAS/JMP

Job description

Kyowa Kirin is a global specialty pharmaceutical company backed by more than 70 years of breakthrough life science innovation, dedicated to discovering and advancing treatments for diseases in which unmet need is greatest. Based in Japan with worldwide operations, we work across the continuum from drug discovery to commercialization, guided by our commitment to patients and their families.

Our research teams, located in California and around the world, are focused on developing the next generation of antibody, cell, and gene therapies, with particular emphasis on bone and mineral disorders, hemato-oncology, and rare diseases. We accelerate development through collaborations with industry, academia, patients, and healthcare providers, and since 2018 we have introduced four new therapies serving patients with progressive illnesses often in need of new therapeutic alternatives.

Our culture is grounded in our values: Commitment to Life , Integrity , Innovation , and Teamwork/Wa , and brought to life through the Kabegoe Principles, which define the behaviors and actions that guide how we work together to deliver meaningful impact for patients.

We're proud of the progress we've made and mindful of the countless individuals still waiting for their own breakthroughs. A commitment to making people smile unites our efforts. Learn more at www.kkna.kyowakirin.com

We are seeking talented, highly motivated university students for our Translational Research department to participate in omics analysis of clinical trial data. The goal is to understand the relationship between gene and protein expression, genomic variation, and response/resistance to therapeutic interventions, ultimately improving clinical response success rates.

This is a paid, temporary internship open to rising juniors or seniors within a commutable distance of Princeton, NJ. The role is hybrid, with 2-3 days on-site required.

Key Responsibilities:

• Download, prepare datasets, and analyze omics and genetic screening data.
• Utilize bioinformatics web tools and participate in the development of genomics data analytics processes, including AI/ML-based predictive analytics.
• Participate in meetings with vendors and manage data transfer, quality control, and data reconciliation activities with vendors and CROs.
• Collaborate with colleagues in the US and Japan.

Requirements and Preferred Qualifications:

• Rising junior or senior in college/university with a major in Molecular Biology, Proteomics, Bioinformatics, Biostatistics, or related Biological Science degree.
• Availability to work from May 25, 2027 to August 20, 2027
• Minimum GPA of 3.0.
• Must live within a commutable distance to Princeton, NJ and work a hybrid schedule
• Must be eligible to work in the United States on a permanent and ongoing basis without sponsorship.
• Experience or interest in bioinformatics, genomics, multi-omics, cancer research, and AI/ML tools for predictive modeling preferred.
• Prior industry experience is desirable
• Good understanding of advanced molecular biology techniques and applications (NGS, gene expression methods/tools).
• Proficient in Microsoft Office; experience with R, Python, SAS/JMP, and other preferred computational tools.
• Strong oral and written communication skills.

Why Intern with Kyowa Kirin?

Interning at Kyowa Kirin means joining a team that values curiosity, collaboration, and continuous learning. You'll contribute to meaningful projects, receive mentorship from industry professionals, and experience a culture where every voice is welcomed and encouraged. If you're looking for an internship where you can learn, grow, and make a real impact, we'd love to meet you

The anticipated hourly rate for this position will be $23.00 to $25.00 per hour. The actual hourly rate offered for this role at commencement of employment may vary based on several factors including but not limited to relevant experience, skill set, qualifications, education (including applicable licenses and certifications, job-based knowledge, location, and other business and organizational needs.

KKNA and all of its employees have an obligation to act in accordance with the law and with integrity in all our operations and interactions

It is the policy of Kyowa Kirin North America, Inc. to provide equal employment opportunity to all qualified persons without regard to race, religion, creed, color, pregnancy, sex, age, national origin, disability, genetic trait or predisposition, veteran status, marital status, sexual orientation or affection preference or citizenship status or any other category protected by law.