Computational Biologist, Immuno-oncology

Role Description We seek a highly motivated computational immunologist/biologist to be part of a larger inter-disciplinary team that focuses on target discovery, validation and biomarker research in immune-oncology. The successful candidate should have a strong computational background with proven track record of having applied computational solutions to solve biological problems. The candidate should have the ability to work independently and come up with quick, robust and creative computational solutions to various research goals. Responsibilities Conduct computational analysis on available FACS/cyTOF, imaging and next-gen sequencing datasets including single-cell sequencing from pre-clinical model systems, and clinical trials to identify novel targets, biomarkers, resistance mechanisms of current therapies, and effective therapeutic combinations Develop innovative algorithmic approaches to integrate diverse datasets and provide for robust and testable hypothesis from analyzed experimental and clinical data Be up-to-date on state-of-the-art methods and techniques in computational biology and provide support on an as-needed basis to cross-disciplinary project teams Qualifications EDUCATION AND EXPERIENCE: PhD in Bioinformatics/Computational Biology, Immunology, Mathematics, Statistics, Biostatistics or closely related field with 2-5 years relevant experience applying state-of-the-art computational approaches to solving biological problems Proven record of scientific rigor and scientific success Ability to work effectively on teams and good team player attitude required Excellent communication skills (oral and written) as demonstrated by publications & presentations Ability to multi-task and project prioritization required TECHNICAL SKILL REQUIREMENTS: Expertise in ability to understand and extend computational algorithms for multi-color (>15 markers) flow and cyTOF analysis (and other single-cell technologies), including but not limited to viSNE, Spade, Citrus, Scaffold. Proficiency in scripting languages such as R, Matlab, Perl, or Python Experience in informatics on multiplex imaging technologies and familiarity with image analysis algorithms is preferable Demonstrated an understanding of biology (specifically immunology) and is able to identify biological problems that can be efficiently solved through computational methods and algorithms Ability to work closely with bench scientists to solve complex biological problems Authorship demonstrating the application of mass or flow cytometry in high quality publications desirable Experience in analysis of large-scale genomic data such as RNA-seq, Exome-seq, whole-genome seq, ChIP-Seq, genotype, microarrays as well as biological pathway related analysis desirable Proficiency in developing web-based applications and ability to code in Java desirable Other Job Details: Eligible for Relocation Package Eligible for Employee Referral Bonus EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.

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