City University of New York (CUNY) – PhD in Biochemistry

University
City University of New York (CUNY)
Region
US
Subject
Biochemistry
Intake
Fall
Duration
5-6 years
Format
In person

Research Focus

In the PhD programme in Biology and Biochemistry at the Graduate Center of the City University of New York, the Cancer Biology and Molecular Mechanisms track focuses on the structure, function and regulatory principles of biomolecules in normal and pathological states, and on their key roles in tumour initiation, progression and treatment. It covers frontier research areas including molecular biology, cell biology, biochemistry, oncogenetics, epigenetics, tumour metabolism, signal transduction and precision therapeutics.

The programme emphasises interdisciplinary research methods that combine experimental biology, chemical biology, genomics, proteomics, computational biology and systems biology to analyse in depth the molecular basis of cancer development, the mechanisms regulating cell fate, and the influence of the tumour microenvironment on disease progression and treatment response.

Research priorities include: functional analysis and regulatory networks of oncogenes and tumour suppressor genes; the mechanisms of action of key signalling pathways in tumour initiation and development; DNA damage repair and genome stability; epigenetic regulation and remodelling of transcriptional programmes; tumour metabolic reprogramming and cellular energy regulation; regulation of protein structure and function; cancer stem cells and drug resistance mechanisms; tumour immune regulation and immune evasion; targeted therapy and combination therapy strategies; and biomarker discovery and molecular diagnostic technologies.

By combining molecular and cellular experiments, high-throughput sequencing and multi-omics analysis, structural biology, computational modelling, functional genomics and disease model systems, the programme is dedicated to advancing full-chain innovation from basic life science research to cancer precision medicine and the development of novel therapeutic strategies. The programme places strong emphasis on interdisciplinary integration, deeply merging biology, biochemistry, medicine, chemistry, data science and artificial intelligence methods to provide systematic research support for cancer mechanism analysis, target discovery, drug development and individualised therapy.

Programme Structure and Funding

This is a full-time PhD programme: applicants may enter directly from a bachelor’s degree, with a duration of 5–6 years; location of study: United States. Scholarship: students may receive full funding through the City University of New York Science Scholarship. This includes full tuition remission, a stipend, teaching assistantship allowances and other funding typically provided by research grants. Autumn entry, with an application deadline of 1 January of the same year.

Entry Requirements

· Academic background: a bachelor’s or master’s degree from an accredited institution. Special admission requirements: applicants with a bachelor’s degree should have a background in the physical and biological sciences, including biochemistry, biology, mathematics, organic chemistry, physical chemistry and physics. GPA ≥ 3.0/4.0 · Language requirements: no specific requirements for TOEFL iBT or IELTS scores. Language score exemption: a bachelor’s or master’s degree obtained from an institution where English is the sole language of instruction and which is located in a country where English is an official language.

Application Materials

  1. Academic CV 2) Applicant statement (including past educational and work experience, academic and career plans, reasons for pursuing a graduate degree, intended field of specialisation, and other information for assessing academic ability) 3) Personal statement (background in academic literacy and life experience, limited to 250 words) 4) Official transcripts and degree certificates (if not in English, a certified English translation must be submitted) 5) TOEFL or IELTS score report (no specific score requirements) 6) GRE score report valid within 5 years (may be submitted if available) 7) 2 letters of recommendation

Career Prospects

Under systematic supervision by their supervisor, doctoral students will gain an in-depth command of the core theories and frontier research methods of molecular biology, biochemistry, cell biology and cancer biology, receive systematic training in key techniques such as gene regulation, signalling pathway analysis, protein structure and function research, multi-omics analysis and disease model construction, and develop comprehensive research capabilities spanning the life sciences, medicine, chemistry and data science. Graduates have broad prospects for development in the following areas: ● Universities and research institutions: engaging in research and teaching in biology, biochemistry, molecular biology, cancer biology and related fields, and developing into lecturers, assistant professors or independent research scholars at research universities.

● Research institutions and medical research centres: engaging in basic life science research, cancer mechanism analysis, target discovery and the development of novel therapeutic strategies at national or international life science research institutions, cancer research centres and biomedical laboratories. ● Biopharmaceutical and biotechnology industries: engaging in drug development, translational research, biomarker development and the industrialisation of research outcomes at biopharmaceutical, oncology drug development, gene and cell therapy, biotechnology and precision medicine enterprises.

● Computational and data-driven life science roles: engaging in data modelling, algorithm analysis and systems research in bioinformatics, computational biology, multi-omics data analysis, precision medicine and drug development support. Through systematic academic training and interdisciplinary research practice, doctoral students will develop a solid theoretical foundation in the life sciences and biochemistry, advanced experimental and data analysis capabilities, and independent research thinking, innovation ability and interdisciplinary collaboration skills, laying a firm foundation for long-term development in academic research, biomedical research and the biopharmaceutical industry.