Stanford University, renowned for its academic excellence and innovative research, is a leading institution committed to advancing knowledge and fostering interdisciplinary collaboration.
Located in the heart of Silicon Valley, Stanford offers a vibrant environment that encourages groundbreaking discoveries across various disciplines.
Its Department of Radiation Oncology and Stanford Cancer Institute are at the forefront of cancer research, integrating cutting‑edge science with clinical applications to improve patient outcomes.
As an employer, Stanford values diversity, inclusion, and the pursuit of excellence, providing a dynamic workplace where talented individuals can thrive and contribute to impactful scientific advancements.
Stanford University’s Stanford Cancer Institute is seeking a highly skilled Computational Biologist / Bioinformatician / Research Data Analyst 1 to join the Kalbasi Laboratory.
This position plays a crucial role in managing and analyzing high-throughput next‑generation sequencing data derived from laboratory experiments, clinical trials involving cancer patients, and publicly available datasets.
The successful candidate will contribute to innovative projects focused on understanding the interface between cancer and the immune system, with particular emphasis on T cell therapies and cytokine therapies for solid tumors such as sarcoma and melanoma.
The role involves applying advanced computational techniques, integrating diverse datasets, and participating in emerging protein design strategies utilizing artificial intelligence tools.
This is an excellent opportunity to work within a multidisciplinary team dedicated to translational cancer research, leveraging computational expertise to inform and accelerate therapeutic development and personalized medicine.
The ideal candidate will possess a Bachelor’s, Master’s, or PhD degree in Bioinformatics, Computational Biology, Computer Science, or a related field, along with at least two years of relevant experience.
A strong background in bioinformatics and biostatistics, particularly in analyzing next-generation sequencing data, is essential.
Experience with machine learning and AI tools, as well as an interest or background in protein design, will be highly valued.
Proficiency in working within UNIX/Linux environments and programming languages such as Python, R, Matlab, or Perl is required.
Candidates should demonstrate excellent communication skills, both written and spoken, and the ability to collaborate effectively within a team.
Additional preferred qualifications include knowledge of tumor purity and clonal heterogeneity analysis, familiarity with cancer biology and immunology, and experience with predictive modeling and statistical methods such as Monte Carlo simulations.
Stanford University offers a comprehensive benefits package designed to support the health, well‑being, and professional growth of its employees.
This includes competitive salary ranges, health insurance coverage, retirement plans, paid time off, and access to a wide array of professional development opportunities.
Employees also benefit from the university’s commitment to work‑life balance, diversity and inclusion initiatives, and a stimulating academic environment that encourages innovation and collaboration.
Specific benefits details will be discussed during the hiring process and may include access to research resources, tuition assistance, and wellness programs tailored to support employee success and satisfaction.
Stanford University is an equal employment opportunity and affirmative action employer.
The university is committed to fostering a diverse and inclusive workplace where all individuals are valued and respected.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.
Stanford provides reasonable accommodations to applicants and employees with disabilities to ensure equal opportunity and access throughout the employment process and beyond.
The university encourages applicants from diverse backgrounds to apply and contribute to its mission of excellence in research, education, and community engagement.