Postdoctoral Scholar in the UCLA Tanigawa Lab

Are you passionate about using your skills in biomedical data science, statistical modeling, or human genetics to make a real-world impact on human health? The Tanigawa Lab at UCLA is looking for a highly motivated individual with exceptional research creativity to join our new lab as a Postdoctoral Scholar to address one of the most significant challenges in the field: why do diseases affect each of us so differently? The position is available immediately, and the start date is negotiable. The initial appointment is two years, with the potential for renewal subject to satisfactory progress.

The Tanigawa Lab investigates disease heterogeneity, asking why individuals differ in disease onset, progression, and treatment response. We apply computational and statistical approaches to uncover the mechanistic basis of inter-individual variation in the disease, with the long-term goal of providing more tailored prevention and treatment strategies for everyone. We are interested in the following topics:

* Computational genomics for disease heterogeneity dissection

* Statistical modeling (e.g., predictive modeling on large-scale data, causal inference)

* Artificial Intelligence (AI) and Machine Learning (ML) for investigating disease mechanisms from genetics, single-cell, and multi-omics

* Cross-ancestry polygenic prediction and integration of biological annotations

* Therapeutic target discovery and validation from human genomic evidence

The Postdoctoral Scholar will work closely with Prof. Yosuke Tanigawa on mutually agreed interdisciplinary projects to develop foundational methodologies for dissecting disease heterogeneity and apply them to study specific aspects of disease biology.

Before you apply, please read the extended description on this website and follow the instructions: https://bit.ly/2025-tanigawa-lab.

Lab: https://tanigawalab.org/

Contact: joinus@tanigawalab.org

Lab: https://tanigawalab.org/

Ph.D. or equivalent in Biomedical Data Science or a closely related discipline at date of hire.

Highly motivated candidates with demonstrated evidence of research creativity are encouraged to apply. The successful candidates should have a substantial background and research experience in biomedical data science, statistical modeling, or human genetics. Being an expert in working with cloud computing environments, building complex statistical or deep learning models, and analyzing large-scale or heterogeneous biomedical data is a plus.

Essential qualifications for this position include:

* Proficiency in programming languages (e.g., Python or R);

* Strong quantitative skills with a basic familiarity with statistical inference; and

* Excellent scientific communication skills (both oral and written)

• 3-5 required (contact information only)

Shortlisted applicants should arrange for recommendation letters to be sent from at least three references.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.

• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer.
• 
  UC Sexual Violence and Sexual Harassment Policy
• 
  UC Anti-Discrimination Policy for Employees, Students and Third Parties
• APM - 035: Affirmative Action and Nondiscrimination in Employment