Sr. Research Investigator, Translational Medicine, Computational Biology and Data Science
Found in: Resume Library US A2 - 1 week ago
Incyte is a biopharmaceutical company focused on the discovery, development, and commercialization of novel medicines to meet serious unmet medical needs in oncology and inflammation and autoimmunity. Incyte is committed to the rigorous pursuit of research and development excellence to improve the lives of patients, make a difference in health care, and build sustainable value.
The Company strives to discover and develop first-in-class and best-in-class medicines-advancing a diverse portfolio of large and small molecules.
The Sr. Research Investigator in Computational Biology and Data Science will provide advanced analytical, bioinformatics, and machine learning support for Translational and Discovery projects in Translational Medicine. The successful candidate will perform integrative analysis of diverse data types, develop and utilize next generation sequencing (NGS) and other analytical pipelines, and collaborate with internal and external investigators for interpretation of high dimensional data sets to inform biomarker hypotheses, target discovery, and other biological queries.
Essential Functions of the Job (Key responsibilities)
Provide analytical support for translational biomarker data in preclinical projects and clinical programs
Analyze and interpret genome-scale NGS data sets (DNA-seq/RNA-seq/scRNA/CITE-seq)
Identify and evaluate pharmacodynamic and predictive biomarkers for translational programs
Provide strong technical and biological expertise within a highly collaborative cross-functional environment
Utilize and contribute to next generation sequencing pipelines and other advanced analytical methods
Qualifications (Minimal acceptable level of education, work experience, and competency)
Strong scientific background with an advanced degree in the field of computational biology, bioinformatics, systems biology, data science, or biostatistics and at least 2 years of industry or related experience in Oncology (Ph.D. - and at least 2 years experience; MS - and at least 4 years relevant oncology experience).
Proficiency in R (tidyverse, Bioconductor), Shiny, and scripting languages (Python, Perl) required with working experience with RStudio, git, and Jupyter Notebooks and/or VScode.
Strong Linux/Unix skills and experience with AWS cloud computing and Nextflow experience preferred.
Deep experience with Oncology and data driven projects for hematologic malignancies preferred.
Working knowledge and experience with public Oncology resources including TCGA, ICGC, CCLE, cBioPortal, dbGaP, CRISPR, etc.
Experience in applying high performance computing for analysis of large omics data sets.
Experience with high dimensional data mining, machine learning, artificial intelligence and statistics preferred.
Ability to balance execution of multiple tasks to accomplish program and project goals.
High level of emotional intelligence and willingness to work closely and collaboratively with other functional groups, internal and external to the company, with the ability to independently troubleshoot and solve problems creatively.
Excellent verbal and written communication skills.
Disclaimer: The above statements are intended to describe the general nature and level of work performed by employees assigned to this job. They are not intended to be an exhaustive list of all duties, responsibilities, and qualifications. Management reserves the right to change or modify such duties as required.
Incyte Corporation is committed to creating a diverse environment and is proud to be an equal opportunity employer.
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During the process, you may be asked to respond to questions that will screen out your application if you do not meet certain objective criteria required by the job. You can learn more about this process .
You may have the right to access, delete, restrict, edit, move, or object to the use of your personal data. You may also have a right to report concerns to the authority responsible for data privacy in the country where the position is based or where you live or work.
You can learn more about Incyte’s data protection practices . By accessing this link you can learn about the types of personal data we collect, how we use it, whether collection and processing is optional, sources of the personal data we process, how it is shared, where it is stored or transferred to, how long we keep it, and contact information for Incyte, Incyte’s data protection officer, and your supervisory authority (if applicable).
Please contact (url removed) if you have any questions or concerns or would like to exercise your rights.
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