Job Abstract

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai’s human health care (hhc) mission. We’re a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer’s disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference.  If this is your profile, we want to hear from you.

Translational Discovery group in Human Biology Integration covers oncology preclinical and clinical translational research to accelerate clinical development of candidate drugs and to enable identification of novel targets. Data science, computational biology and bioinformatics are a fundamentally important core discipline and integral part of the Translational Discovery group. Data scientists play a key role in leveraging internal and external cancer genomics and pharmacogenomics data for developing new breakthrough oncology drugs, with a sharp strategic focus on employing entrepreneurial collaborative and business models to accelerate delivery of innovative medicines that address unmet patient needs.

Job Summary:

We are seeking a highly motivated data scientist to join the Translational Discovery group. This person will be responsible for performing hands-on exploratory and regulatory related biomarker analysis, large-scale genetic, genomic, and other ‘omic analyses, with a primary goal of identifying and validating targets and biomarkers in preclinical studies and clinical trials for oncology. More specifically, this person will participate the design of genomic studies in preclinical and clinical research, implement cutting-edge informatics and statistical methods and tools to analyze the data including WGS/WES/targeted sequencing, RNAseq, proteomics data, metabolomics data, etc, and perform integrative analysis of genomic data and available clinical data in clinical trials. Furthermore, the individual will leverage external cancer genomic and pharmacogenomics data, and oncology real-world data (RWD) to integrate with Eisai internal data for biomarker analysis. All analysis work will be documented and will follow best practices for enabling reproducible research.

Principal Duties and Responsibilities:

• Perform data analysis activities including cleaning, handling, integration, and analysis of biomarker data generated in clinical trials, including WES, RNA sequencing, serum proteins, and other data types to identify biomarkers correlated with clinical endpoints.
• Perform data analysis activities integrating internal and external multi-scale data generated from cell lines, model organisms, and human subjects, including genetic, genomic data, functional data, phenotypic data, and RWD to inform novel targets, combination strategies, or novel cancer indications for oncology assets that are currently under development.
• Analyze large-scale analysis-ready datasets to answer specific focused questions of relevance to project teams.
• Provide appropriate visualization and interpretation of results in preclinical and clinical data to support decision making on drug development projects.
• Contribute to clinical biomarker study design to generate statistically meaningful information.
• Contextualize findings from internal experiments and generate hypotheses for new internal experiments by analyzing and interpreting externally available data.
• Prepare and track documentation including analysis plans, result reports, and progress reports.

Job Qualifications

• Ph.D. degree in Biomedical Sciences, Bioinformatics, Computational Biology, or closely related field. 2-5 years of post-graduate experience in hands-on cancer genomic data analysis.
• Must have analytic and statistical skills to conduct analysis of WGS/WES, transcriptomic, proteomic and epigenetic data. Must have experience in oncology clinical outcome analysis.
• Must have a good understanding of human biology. Experience in cancer research is highly desirable. Must demonstrate good understanding of drug discovery requirements and processes.
• Must have strong organizational skills and ability to prioritize work.
• Must have excellent communication skills and the ability to act on cross-disciplinary teams; must have demonstrated ability in scientific publications.
•Must have experience with R, Unix/Linux systems and AWS cloud computing. Additional experience with languages/software including Python, SQL, Spotfire is strongly preferred.

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Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status.  Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans.

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