[MOGAM Life Science Research Institute Corp.] Research Scientist

Research Scientist (Computational Biology & AI Drug Discovery)

MOGAM Life Science Research Institute Corp.
Seocho District, Seoul, South Korea (On-site)

This job posting is for MOGAM Life Science Research Institute Corp. and is supported by KOTRA Silicon Valley.

[About Company]

Established in 1984 with approval from the Ministry of Science and Technology, MOGAM Institute for Biomedical Research is the first privately funded, non-profit research institute under the Ministry of Science and ICT in Korea.

Since its founding, the institute has contributed to improving public health through the development of vaccines and protein therapeutics.

Today, MOGAM has transformed into a specialized AI-driven drug discovery research institute, pursuing a data-driven approach to increase the probability of success in pharmaceutical development.

Our vision is simple:

“Smart AI for Smarter Drug Discovery.”

Even without a traditional laboratory environment, we aim to generate and validate hypotheses using data-driven models, driving innovation that addresses unmet medical needs.

The institute focuses particularly on next-generation therapeutic platforms, including:

mRNA therapeutics

Lipid Nanoparticle (LNP) delivery systems

Antibody-based therapeutics

Disease exploration research

[Position]

Research Scientist (Computational Biology & AI Drug Discovery)

[Computational Biology Role (3–13 years experience)]

About the Role

Collect, preprocess, and normalize large-scale biological datasets including genomics, transcriptomics, and single-cell RNA sequencing data

Identify disease mechanisms and therapeutic targets using network analysis and systems biology modeling

Contribute to cancer vaccine research utilizing genomic and proteomic sequence data

Perform multi-omics integration for translational research bridging discovery and clinical applications

Collaborate with AI researchers to integrate biological datasets with predictive modeling and machine learning workflows

[AI Drug Discovery Role (3–13 years experience)]

About the Role

Develop multimodal AI models integrating structural, chemical, and multi-omics data to map disease–target–compound relationships

Apply graph learning and causal inference approaches to uncover mechanisms from integrated biological and knowledge-based datasets

Utilize Graph Neural Networks (GNNs) and generative models to design and optimize candidate molecules for activity, synthesizability, and ADMET properties

Design, refine, and validate ADMET and pharmacokinetic (PK) prediction models

Build scalable cloud/GPU-based training pipelines and distributed inference systems using MLOps practices

Translate model outputs into biologically and pharmacologically interpretable insights

[Common Responsibilities]

Develop machine learning models and write research code directly

Conduct data analysis and visualization of results

Lead research projects when required and provide strategic direction for technical problem solving

Collaborate with external partners such as CROs to establish closed-loop experimental validation workflows

[Location]

Gangnam-daero 41-gil
Seocho-gu, Seoul
Republic of Korea

[Job Type]

Full-Time

Working Hours:
5 days per week / 8 hours per day

[Required Qualifications (Preferred)]

Experience

Over 3 years of industry and/or academic experience in Computational Biology, AI Drug Discovery, or related fields

Hands-on experience applying machine learning or deep learning models to biological or chemical data

Experience leading research or technical projects (prioritization, code review, research direction setting)

Demonstrated research outcomes such as peer-reviewed publications, patents, or open-source contributions

Major

Relevant majors include:

Biology

Chemistry

Pharmacy

Medicine

Computer Science

Statistics

Physics

However, demonstrated research achievements and experience will be prioritized over academic background.

Skills

Proficiency in at least one programming language: Python, R, or C/C++

Experience with deep learning frameworks such as PyTorch or TensorFlow

Experience working in Git-based collaborative environments (GitHub / GitLab)

Experience handling large-scale datasets and models in Cloud, HPC, or GPU environments

Strong analytical and problem-solving abilities

Fluency in Korean for effective collaboration and communication

Degree

Doctoral Degree (PhD)

[Benefits]

Lunch provided

Health checkups

Training and development opportunities

Base salary commensurate with experience

Statutory benefits according to Korean labor law:

National pension

Health insurance

Employment insurance

Workers’ compensation insurance

Severance pay

Paid annual leave and national holidays

Research-oriented work environment

[How to Apply]

Please send your resume to:

Email: syoon@kotra.or.kr

Only qualified candidates will be contacted for interviews.

[Remarks]

KOTRA is not responsible for any matters related to the interview process, employment decisions, contractual agreements between the employer and the candidate, or visa issuance for employment in the relevant country.

The expected hiring schedule may change depending on the employer’s circumstances.

The job posting may close earlier than scheduled if the position is filled.