Job Description

The mission of Cancer Science Institute (National University of Singapore) is to better understand the causes of human cancer across Asia, and thereby improve its detection, treatment, and prevention. Our outstanding researchers and exceptional facilities create an energetic environment for ground-breaking science and world-class training.

The position of Postdoctoral Fellow with an emphasis on computational cancer genomics is available immediately and will be attached to Dr Jason PITT’s laboratory. More information about his research is available at https://csi.nus.edu.sg/researcher/jason-pitt/

The selected candidate will be focused on building knowledgebases and algorithms to recommend cancer treatments based on a patient’s genetic profile. He/ She will also work closely with clinician-scientist Dr. Anand Jeyasekharan to help facilitate molecular tumor boards at National University Hospital. An experienced genome analyst will have the unique opportunity to impact real-world precision oncology while developing skills in cloud computing, data science, and augmented intelligence.

Join us and be part of our family today!

Interested applicants should include the following documents in the job application

1. Curriculum Vitae (CV)
2. Summary of past research experience
3. Description of long-term plans
4. At least 3 referees including their name, contact information (email) and relationship to applicant

Duties and Responsibilities

Candidate will work with the CSI Translational Team to deliver the following:

Aggregation and analysis of publicly available datasets

• Data wrangling of genomics and clinical datasets
• Processing and analysis of NGS data (e.g. DNA- & RNA-seq)
• Apply novel prediction algorithms over large-scale data

A knowledge graph for precision oncology

• Integrate drug, protein/gene, clinical trial, and genomics data
• Overlay analytics to discover novel biological and clinical insights
• Facilitate oncologist queries based on an entity of interest

Qualifications

• PhD in Bioinformatics, Genomics, Computer science, Information systems, Statistics, or related fields
• Experience analyzing data derived from high-throughput technologies
• Strong Python programming skills and proficiency with Unix-based systems
• Strong analytical and critical thinking skills
• Evidence of leading projects to completion
• Excellent written and spoken English

PREFERENCES

• Prior experience with cancer genomics data
• Familiarity with Amazon Web Services
• Database management experience (SQL, NoSQL, Elasticsearch, etc.)
• Experience with collaborative software development via github/gitlab