Associate Scientist​/Scientist in Bioinformatics

Hansoh Bio is a U.S.

-based subsidiary of Hansoh Pharmaceutical Group Company Limited, a biopharma company founded in 1995. Hansoh Pharma discovers and develops breakthrough therapies for serious diseases and disorders affecting patients around the world, employing 9,000 workers and 1,400 R&D professionals. With over 40 products in commercialization, the Company’s pipeline programs and products cover therapeutic areas such as oncology, central nervous system, anti-infectives, diabetes, as well as gastrointestinal and cardiovascular diseases.

Hansoh Bio is a biotech Research and Development (R&D) arm of Hansoh Pharma based in Rockville, MD, focused on de novo drug discovery and development of novel therapeutics. The Maryland R&D site focuses on the discovery of novel drug candidates for the treatment of cancer, metabolism, and autoimmune diseases. Hansoh Bio is thrilled to offer exciting opportunities for researchers and scientists to engage in target discovery and pre-clinical candidate development of high impact projects, while being an integral member of a collaborative, passionate, and goal-oriented team.

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We are seeking a motivated and detail-oriented Associate Scientist/Scientist in Bioinformatics to join Translational Medicine team in Maryland R&D site Hansoh Bio. The successful candidate will work closely with corporate partners, cross-functional teams and project teams to support our programs. This role offers the opportunity to apply advanced deep learning frameworks and bioinformatic tools to accelerate drug discovery. Candidate is expected to maintain diligent records of computational workflows and communicate data findings through visualizations.

The successful candidate will work closely with corporate partners, cross-functional teams and project teams to support our programs.

• Conduct the processing, analysis, and interpretation of Next-Generation Sequencing (NGS) data from different platforms in drug development.
• Assist in the development and implementation of AI/ML/deep learning models for drug discovery and pathology.
• Provide timely communication and high-quality visualizations of complex data to project teams and corporate partners.
• Maintain diligent records of computational workflows, code repositories (e.g., Git Hub), and data logs in accordance with standard practices.

• Master or Ph.D. degree in Bioinformatics, Computational Biology, Computer Science, or a related fields with 0-2 years of research experience.

• High proficiency in Python or R for genomic data analysis and statistical modeling.
• Hands-on experience with standard bioinformatics tools.
• Strong understanding of molecular biology and genomics; experience in oncology or immunology is desirable.
• Strong organizational skills, attention to detail, and the ability to work both independently and collaboratively in a team environment.

• Experience in applying AI, machine learning and deep learning frameworks to drug discovery and pathology is highly preferred.