Education & Science
Scientist / Senior Scientist / Principle Scientist, Bioinformatics
Scientist / Senior Scientist / Principle Scientist, Bioinformatics POSITION SUMM
Type: Full Time
Location: San Diego,
We seek a talented, collaborative inter-disciplinary scientist to catalyze computational analysis of large volumes of genomic
and clinical data with the aim of developing precision medicine approaches for the rescue of drugs that have failed late
stage clinical trials. This individual will play a key scientific role leveraging innovative computational analysis strategies
and a wide range of data sources to discover novel clinical biomarkers to improve therapeutic outcomes in complex
diseases of unmet medical need.
This position will particularly focus on the identification of genetic biomarkers that relate to disease subgroups and
therapeutic response. Other data sources will include genomic, transcriptomic, and proteomic assays applied to preclinical
models and patient samples. Expertise in genetic association studies and the analysis and interpretation of next-
generation sequencing data are prerequisites. Applications are encouraged from those looking to bridge the gap between
academic and industrial research environments to impact delivery of truly innovative and life-changing therapies.
A strong interest in the inter-disciplinary application of computational analysis to life sciences data is imperative, as is a
rich background and experience in bioinformatics and computational biology research. Areas of particular focus include
systems-level analysis of genetic association studies to discover novel biomarkers for oncology and CNS diseases.
ESSENTIAL FUNCTIONS AND RESPONSIBILITIES:
These include, but are not limited to:
Coordinated application of novel computational analysis and biological interpretation approaches to leverage internal,
public and partner datasets to empower pharmacogenomics biomarker research.
Data integration across various omic platforms.
Participation in and oversight of scientific report writing. Presentation of methods, results and conclusions to a publishable
Contribution to planning and execution of collaborative projects with leading academic and commercial research groups.
Participate in brainstorming sessions, maintain a highly productive and motivating work environment.
EDUCATION, EXPERIENCE, KNOWLEDGE, SKILLS AND ABILITIES REQUIRED:
Ph.D. in computational biology, bioinformatics, or related field.
5+ years post-doctoral experience of inter-disciplinary computational and drug discovery research in a university, hospital
or biotechnology environment.
2+ years experience in pharma/biotech research environment is preferable.
Strong knowledge required of genetic association analysis and interpretation, and applied computational research of large
Strong proficiency and understanding of machine learning algorithms & principles.
Experience working with data from clinical trials and health care data.
Previous experience in the field of precision medicine is preferred.
Track record of peer-reviewed publication in relevant scientific journals.
Expertise in algorithmic implementation, statistical programming and data manipulation, using R/Bioconductor, Matlab,
Python, and a wide range of contemporary open-source bioinformatics tools and databases.
Excellent verbal and written communication skills. Fluent verbal and written English language skills prerequisite.