Senior Scientist, Computational Biology/Data Science

Key Skills

Azure, Java Programming, MATLAB Programming, Python Programming, R Programming, SQL

Job Description

New hires in office-based roles in the US & Puerto Rico will be required, subject to applicable law, to demonstrate that they have been fully vaccinated for COVID-19 or qualify for a medical or religious exemption to this vaccination requirement that can be accommodated without an undue burden to the operation. However, subject to applicable law, employees working in roles that the Company determines require routine collaboration with external stakeholders, such as employees in health services, customer facing commercial, or research based roles, will be required to be fully vaccinated as a condition of employment.

We are seeking a highly motivated and enthusiastic computational scientist to join a team dedicated to advancing our company's oncology pipeline.

The successful candidate will:

• Analyze, visualize and summarize NGS and other molecular data from oncology clinical trials and proprietary and public large molecular databases, including bulk tissue nucleotide acid sequencing and liquid biopsies.
• Use oncology molecular data to identify biomarkers and molecularly defined groups of patients as well as molecular mechanisms of modulation of therapeutic response reflected in longitudinal analytes, with a focus on identifying novel targets matched to groups of cancer patients with unmet medical need.
• Effectively present data analyses to inform and interact with stakeholders representing a wide span of internal organizations, including Translational Oncology, Molecular Diagnostics, Clinical Development, Statistics and Therapeutic Area Biology.

Position Qualifications:

Education Minimum Requirement:

• PhD (preferred) in Engineering, Applied Mathematics, Bioinformatics, Computational Biology or related field with a significant computational and statistical component or MSc with 7+ yrs experience applying computational methods in cancer biology in a pharma, biotech or academic setting.

Required Experience and Skills:

• 5+ years experience and demonstrated expertise with scientific computation environments (Matlab and/or R/Python highly preferred).
• Strong communication and presentation skills; ability to guide and influence decisions through use of data-driven hypotheses.
• Independent, flexible and collaborative mindset.
• Hands-on analysis experience with algorithms for large genetic, genomic, and clinical datasets (e.g. TCGA, GTEx, DepMap), and with analyses focused on liquid biopsies.

Preferred Experience and Skills:

• Experience with analysis of genomic data originating from clinical trials.
• Understanding of the major concepts of cancer biology as represented in molecular data.
• Working knowledge of methods of statistical learning and data mining and application to biological problems.
• Experience with a matrix environment and ability to effectively collaborate with colleagues from a wide range of disciplines.
• Record of publishing in high profile scientific journals.

We are a research-driven biopharmaceutical company. Our mission is built on the simple premise that if we “follow the science that great medicines can make a significant impact to our world. We believe that a research-driven enterprise dedicated to world-class science can succeed by inventing medicine and vaccine innovations that make a difference for patients across the globe.