Precision Medicine, Biological Data Intern

Join a Legacy of Innovation 125 Years and Counting!

Daiichi Sankyo Group is dedicated to the creation and supply of innovative pharmaceutical therapies to improve standards of care and address diversified, unmet medical needs of people globally by leveraging our world-class science and technology. With more than 125 years of scientific expertise and a presence in more than 20 countries, Daiichi Sankyo and its 18,000 employees around the world draw upon a rich legacy of innovation and a robust pipeline of promising new medicines to help people. In addition to a strong portfolio of medicines for cardiovascular diseases, under the Group’s 2025 Vision to become a “Global Pharma Innovator with Competitive Advantage in Oncology,” Daiichi Sankyo is primarily focused on providing novel therapies in oncology, as well as other research areas centered around rare diseases and immune disorders.   

We are currently seeking a Precision Medicine, Biological Data Intern from June 2026 – May 2027. This part-time position works for approximately 20 hours per week.

Responsibilities:

Project: Integrated Knowledgebase for Genomics Insights into Topoisomerase I inhibitor-Based Antibody–Drug Conjugates (ADCs)

Antibody–drug conjugates (ADCs) using topoisomerase I inhibitor payloads (DXd series) have demonstrated significant clinical success across multiple tumor types. However, diverse and multifaceted mechanisms of resistance contribute to heterogenous patient responses. These resistance mechanisms include (i) antigen loss (ii) reduced internalization (iii) increased clearance of payload (iv) alterations in payload target and (v) upregulation of anti-apoptotic proteins. Understanding of resistance mechanisms that affect each step of ADC MoA is crucial to stratify patient populations with a better clinical outcome and identify rational combination strategies to overcome resistance.

We propose to develop an Integrated ADC Genomics Knowledgebase that systematically aggregates, curates, and harmonizes experimental findings from multi-omics studies and CRISPR screens spanning distinct ADC MoA steps. This centralized resource will accelerate hypothesis generation, biomarker discovery, and cross-program learning within the ADC portfolio.

Scientific Scope
The knowledgebase will focus on topoisomerase I inhibitor payload ADCs and organize findings according to key mechanistic stages of ADC action

Data Sources and Integration
The resource will integrate data from both public and internal sources using standardized identifiers and metadata fields. Data Sources
 

• Public databases: DepMap, CCLE, GEO, ArrayExpress, PubMed
• Internal datasets: preclinical ADC and biomarker studies
• Literature-derived results via NLP-based text mining
 

Integration workflow

• Data Search: Create comprehensive list of relevant studies and datasets
• Data Processing and Curation: Develop processing pipelines for omics data and standardize metadata.
• Knowledge Integration: Create relational schema linking genes, pathways, functional assays, resources etc.
• Meta analysis: Identify consistent signatures associated with sensitivity or resistance
• Data Visualization: Build interactive dashboards (Shiny/Streamlit) for visualization and analytics.
 

Expected Outcomes
Centralized resource for ADC mechanism, cross-program learning, biomarker hypothesis identification or validation.

Responsibilities

• Aggregate and analyze large-scale RNA-seq, CRISPR, and proteomics datasets relevant to ADC MoAs.
• Conduct meta-analysis to identify consistent mechanisms across different studies and datatypes.
• Collaborate with translational scientists to interpret biological insights and MoA connections.
• Contribute to the creation of curated gene and pathway summaries for knowledgebase ingestion.

Qualifications:

• Enrolled in Ph.D. in Computational Biology, Bioinformatics, Systems Biology, or related field (2nd year onwards preferred).
• Strong experience with R/Bioconductor.
• Familiarity with public datasets (DepMap, CCLE, GEO, TCGA, MSigDB, Reactome).
• Knowledge of multi-omics integration, enrichment analysis, and data harmonization.
• Experience with oncology or ADC-related biology preferred.

Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer.  All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.  

Salary Range: