Research Data Analyst

Job description

About The Company

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.

About The Role

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.

Qualifications

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.

Responsibilities

• Collect, manage, and clean large datasets from laboratory experiments, clinical trials, and public repositories to ensure data integrity and readiness for analysis.
  
  
• Utilize existing and develop new computational tools to interpret, analyze, and visualize complex multivariate data, including genomic, proteomic, and clinical datasets.
  
  
• Create and maintain databases, develop algorithms, and build statistical models to extract meaningful insights from high‑dimensional data.
  
  
• Perform detailed data quality assessments, identify and rectify data inconsistencies, and troubleshoot issues related to input errors or inadequate data collection practices.
  
  
• Generate comprehensive reports, visualizations, charts, and tables to support research findings, publications, and presentations.
  
  
• Collaborate with faculty and research staff to refine data collection methodologies and optimize analytical workflows.
  
  
• Document analytical procedures, data processing steps, and results to ensure reproducibility and compliance with research standards.
  
  
• Engage with external stakeholders, including government agencies, grant organizations, and industry partners, to communicate research progress and findings effectively.
  
  
• Participate in the development of innovative protein design strategies employing AI and machine learning techniques.
  
  

Benefits

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.

Equal Opportunity

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.

Seniority Level

• Associate

Employment Type

• Full‑time

Job Function

• Research, Analyst, and Information Technology
• Data Infrastructure and Analytics

Required Skill Profession

Gestión Y Dirección