Lead Research Bioinformatics, Pathological Models & Analysis Position Available In Middlesex, Massachusetts
Tallo's Job Summary: This job listing in Middlesex - MA has been recently added. Tallo will add a summary here for this job shortly.
Job Description
- Lead
- ,•Pathological Models and Analysis•Do you want to be part of an inclusive team that works to develop innovative therapies for patients?
Every day, we are driven to develop and deliver innovative and effective new medicines to patients and physicians. If you want to be part of this exciting work, you belong at Astellas! Astellas Pharma Inc. is a pharmaceutical company conducting business in more than 70 countries around the world. We are committed to turning innovative science into medical solutions that bring value and hope to patients and their families. Keeping our focus on addressing unmet medical needs and conducting our business with ethics and integrity enables us to improve the health of people throughout the world. For more information on Astellas, please visit our website at
- www.astellas.com
The Role:
The candidates should demonstrate proficiency in advanced computational tools and high dimensional analysis relevant to cutting-edge biological research. The candidate should have exceptional analytical skills enabling them to interpret and communicate intricate scientific insights effectively. A successful candidate will contribute to a deeper understanding of cancer biology in focused cancer indications and support the enabling of Astellas pipeline in oncology.
-
Responsibilities:
- + Provide technical leadership in the analysis of bulk and single cell NGS and DNA methylation to inform target discovery and mechanism-of-action studies.
+ Design and implement novel bioinformatics algorithms for sequence analysis. + Serve as an individual contributor on key projects, delivering high-impact analyses and tool development using Python, R, or similar languages + Partner with wet-lab biology research scientists, protein engineers and chemists to guide experimental design and validate computational predictions. + Design and implement computational algorithms to analyze multi-omics, multi-modal, and high-content data, with applications in target engagement evaluation, patient stratification, response prediction, indication selection, assay development, and diagnostic development. + Work with translational teams on biomarker discovery and, as needed, patient stratification strategies
ReqID:
25-POS00077552
