Responsibilities :
- Leads bioinformatics strategy and develop analysis plans to address asset team’s clinical development questions
- Utilizes state of the art bioinformatics methods, internal and external data to address translational questions related to indication selection, patient segmentation, and biomarker identification
- Conducts bioinformatics analysis of clinical trial omics data to support POM and patient selection
- Supports data ingestion and conducts analysis using translational and biomarker data management platforms
- Selects the appropriate data sets and analytical approaches for drug target identification and validation to support drug research
- Develops new analysis tools and databases to meet the current and future portfolio needs
- Identifies and evaluates external resources (CRO / academic collaborator) to complement internal capabilities
Requirements
Qualifications : Required
Required
- PhD. in computational biology, bioinformatics, or other biomedical sciences with a minimum of seven years’ experience in applying bioinformatics approaches to drug discovery / development, preferably in a biopharma setting
- Strong publication record in peer reviewed journals
- Demonstrated experience in cancer genomics and omics data analyses, including experience with developing pipelines for next-generation sequencing data analysis and QC
- Strong capability in designing and performing bioinformatics analyses to address translational questions, and to obtain insight on patient segmentation and biomarker selection
- Excellent programming skills (including R, Python, SAS) and deep-knowledge for statistical analysis and machine learning
- Experience with data visualization using web application such as Shiny / plotly
- Experience with highly parallel, clustered, or supercomputing systems.
- Complete independence in providing project level bioinformatics support, from planning to execution and reporting.
- Strong communication skills and demonstrated ability to influence and lead in a matrix environment.
Preferred
- Experience in analyzing single cell sequencing data and proteomics data
- Experience in maintaining in-house Laboratory Informatics Management System (LIMS)
- Administration experience of clustered-computing systems
- Experience with human genetics data and RWD
Benefits :
- Medical, Dental and Vision Insurance
- Generous Paid Time Off options, including Vacation, Sick time, plus national holidays including Heritage Days, and Summer and Winter Breaks
- 401(k) match and annual company contribution
- Company paid life insurance
- Annual Corporate Bonus and Quarterly Sales Incentive for eligible positions
- Long Term Incentive Plan for eligible positions
- Referral bonus program
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