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 seeking a highly motivated, exceptionally creative researcher to join our new lab.

Our group investigates disease heterogeneity: why individuals differ in disease onset, progression, and treatment response. We develop statistical models and computational tools to uncover the mechanistic basis of inter-individual variation in the disease. Our long-term goal is to provide more tailored prevention and treatment strategies for everyone.

Postdoctoral Scholars recruited for this position (JPF11031) will work closely with Prof. Tanigawa on a mutually agreed-upon interdisciplinary project focused on representation learning for computational dissection of disease heterogeneity.

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.

A mutual fit between the advisor and the trainee is critical to ensuring that your time in the lab is productive and rewarding. Before you apply, please carefully read our lab website to learn about our research interests, mentoring philosophy, and expectations for application materials.

Lab: Tanigawa Lab

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.

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)

Additional qualifications suitable for this position include:

* Familiarity with representation learning (e.g., variational autoencoders);

* Experience with analyzing large-scale real-world datasets; or

* Familiarity with causal inference techniques in human genetics (e.g., Mendelian Randomization)

• 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.

• "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.
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