Research Scientist (PhD in Genetics/ Cell Biology/ Immunoglogy)

Gene Solutions is a leading company in Vietnam specializing in the research, development and application of the most advanced genetic tests, providing genetic testing services for screening, diagnosis and treatment orientation.

We believe everyone deserves better healthcare via genetic testing. We unlock the power of genetics to transform the healthcare system for a healthier life, by making genetic testing more accessible and helpful than ever. We provide the most comprehensive and innovative solutions at the most competitive price so that everyone can access them easily.

We would like to invite you to join us to strengthen and fulfill together this greater purpose.

Project:

Multiomic analysis of blood biomarkers for multi-cancer screening and therapeutic decision-making

Position Overview:

We are seeking a highly motivated researcher to join our team in advancing multicancer early detection and diagnosis. This project leverages multi-omic analysis of circulating tumor biomarkers to detect cancer signals and predict treatment response, supporting the development of precision immunotherapy strategies.

Key Responsibilities:

1. Conduct advanced research in genetics with a strong focus on cancer diagnosis and personalized treatment selection.
2. Independently design and execute laboratory experiments, critically analyze results, and provide insightful interpretations.
3. Prepare research findings for publication in peer-reviewed journals and present at national conferences.
4. Collaborate effectively with interdisciplinary teams while maintaining a high level of autonomy.
5. Communicate complex scientific concepts clearly in both written and oral formats.

Education & Experience (Required):

• A Ph.D. degree (or Ph.D. submitted and awaiting defense) in Genetics, Cell Biology, Immunoglogy or a related field.
• At least one first-author publication in a peer-reviewed journal.

Preferred Qualifications:

• Solid research experience in immunogenetics, including cancer genetics, epigenetic regulation, and immune profiling technologies.

• Prior exposure to genetic data analysis pipelines and machine-learning methods for biomarker discovery is an advantage.