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10F, Biomedical Technology Building, No.301, Yuantong Rd., Zhonghe Dist., New Taipei City (Shuang-Ho Campus, Taipei Medical University)

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"Postdoctoral Fellow"

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Postdoctoral Fellow

Postdoctoral Fellow Position Announcement

School of Public Health, Taipei Medical University (Lab of Dr. Wei-Cheng Lo)

Job Title

Postdoctoral Fellow

Affiliation

School of Public Health, College of Public Health, Taipei Medical University (TMU)

Work Location

10F, Biomedical Technology Building, No.301, Yuantong Rd., Zhonghe Dist., New Taipei City (Shuang-Ho Campus, Taipei Medical University)

Research Overview

The lab is led by Associate Professor, Dr. Wei-Cheng Lo (Nicholas). Our research mainly focuses on Burden of Disease estimation in Taiwan, as well as the long-term health impacts of lifestyle and environmental exposures.

Using disease burden metrics as an integrated analytical framework, we apply comparative risk assessment, disease modeling, machine learning, and survival extrapolation methods to systematically quantify the long-term impacts of diverse health risks on population health and societal burden. Our goal is to strengthen the evidence base for health policy planning and evaluation.

In recent years, the laboratory has led multiple externally funded research projects supported by national funding agencies, including the National Health Research Institutes (NHRI), the National Science and Technology Council (NSTC), the National Health Insurance Administration (NHIA), and the Health Promotion Administration (HPA).

Key Responsibilities

  1. Conduct research projects funded by the NSTC and assist with additional assigned academic and administrative tasks.
  2. The laboratory maintains long-standing collaborations with the Taiwan Burden of Disease Center, the Institute of Epidemiology and Preventive Medicine at National Taiwan University (NTU), and the Institute of Statistical Science at Academia Sinica. The successful candidate will have opportunities to engage in cross-institutional research projects and participate in interdisciplinary academic discussions with collaborating scholars.

Working Hours

Monday to Friday, standard 9-hour shift (including a 1-hour lunch break).

Qualifications

  1. Ph.D. or Master’s degree in Public Health, Epidemiology, Biostatistics, or related medical/pharmaceutical fields.
  2. Proficiency in statistical software such as R, SAS, STATA, or Python.
  3. Experience analyzing large-scale databases (e.g., NHIRD, Biobank) is highly preferred.
  4. Strong interest and commitment to medical and public health research.
  5. Proactive, eager to learn, and able to work effectively in a team environment.

Salary and Benefits

  1. This postdoctoral research fellowship will be funded by the National Science and Technology Council (NSTC). Salary will follow NSTC’s approved pay scale.
  2. Starting salary may be adjusted based on academic qualifications and experience; candidates with extensive relevant experience may negotiate salary.
  3. Year-end and other bonuses, as well as additional benefits, are provided according to university regulations.

Application Method

Interested candidates should submit the following materials via email: CV (including contact information), autobiography, degree certificate, thesis/publications, and other supporting documents.

  • Email: jenny612010@gmail.com (Please specify "Application for Postdoctoral Fellow" in the subject line).
  • Contact Person: Ms. Chih-Yu Liao (Jenny)
  • Phone: 02-6620-2589 #16094

Selection Process

Qualified candidates will be contacted via phone or email to schedule an interview. Candidates who do not meet the requirements will not receive separate notification.

Additional Information

The lab provides a supportive and dynamic working environment. Dr. Lo is approachable and highly committed to the career development of lab members. Research publication and continuous learning are actively encouraged, including participation in domestic and international conferences and professional training, with financial support provided within available resources.

10

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