Work within an interdisciplinary team of molecular and computational biologists to integrate, interpret, and mine high-throughput immune phenotyping, genomics, and in vivo response data from clinical and pre-clinical datasets.
Implement and/or develop methods and algorithms to integrate and analyze data from various platforms.
Analyze and interpret high-throughput data from studies supporting development of novel IO therapies.
Analyze and mine public and internal multi-dimensional patient data for indications selection for new IO therapies.
Provide timely analysis and interpretation of experiments from preclinical models.
Support pre-clinical project progression to clinical trials.
Use and develop automated methods to support large-scale bioinformatics analysis.
Familiarity with single cell differential gene expression, clustering, pathway analysis, and other data types as required.
Internalize and analyze public datasets from data repositories or publications to inform new IO therapy development.
Monitor and evaluate analytical aspects of new and emerging computational immune oncology techniques.
Develop tools for data sharing and visualization.
Present scientific and technical data to both internal and external colleagues in a clear and cohesive manner.
Share and communicate all aspects of data analysis, tools, and methods developed.
Enable adoption of new methods and tools.
Work with teams towards publication of scientific methods and findings by providing documentation of analysis, reproducibility of code, and quality control.
Use, develop, and advocate technology platforms for sharing internal data company-wide and enabling user access.
The scientist will be responsible for processing, analyzing, and integrating data from diverse sources such as RNA-seq, WES, IHC, single cell sequencing, spatial transcriptomics, imaging, epigenomics, CRISPR screens, and clinical meta data.
Why Patients Need You
Pfizer’s purpose is to deliver breakthroughs that change patients’ lives. Research and Development is at the heart of fulfilling Pfizer’s purpose as we work to translate advanced science and technologies into the therapies and vaccines that matter most. Whether you are in the discovery sciences, ensuring drug safety and efficacy or supporting clinical trials, you will apply cutting edge design and process development capabilities to accelerate and bring the best-in-class medicines to patients around the world.
What You Will Achieve
As a member of the Bioinformatics team, you will be at the center of our operations and you’ll find that everything we do, every day, is in line with an unwavering commitment to quality. You will develop and employ computational tools to analyze biological data. With your in-depth knowledge of the discipline, you will regularly contribute at the therapeutic area level and can represent the department on multidisciplinary teams.
It is your hard work and dedication that will make Pfizer ready to achieve new milestones and help patients across the globe.
How You Will Achieve It
Provide guidance to and lead moderately complex projects.
Conduct analysis to help address translational questions such as predictive biomarker, tumor indication, drug combination and resistance mechanisms.
Contribute to the development of data packages supporting well-informed decision making; interface closely with project teams and colleagues with multidisciplinary backgrounds to formulate data-driven and actionable hypotheses.
Work in collaboration with research biologists and project teams to identify the best opportunities to translate genetic and related data to inform and prioritize assets in the portfolio; and with clinical teams to inform optimum patient selection, stratification and trial design.
Manage, develop and maintain internal and external collaborative projects to specified timelines and milestones.
Communicate study findings and analyses with internal partners, leadership, administration, and collaborators.
Devise and leverage state of the art computational approaches for target identification and precision medicine.
Provide ad-hoc bioinformatics support to cross-disciplinary project teams.
Contribute effectively to a shared codebase that can be leveraged broadly for multiple applications.
Develop innovative algorithmic approaches to provide for robust and testable hypothesis from analyzed experimental 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.
· Ph.D. in Bioinformatics, Computational Biology, Computer Science, or related field.
· Fluency in programming in R, Perl, or Python in a UNIX/LUNIX environment.
· Experience processing and interpreting high-volume genomics data.
· Experience in immune oncology or immunology research.
· Excellent communication skills (oral and written).
· Experience in computational methods for analysis of genomics data such as RNA-seq, scRNA-Seq, and spatial transcriptomics.
· Experience in integrative omics analysis, data mining, clinical study analysis, or epigenetics analysis.
· Experience with a cloud computing platform for genomics like seven bridges, AWS, GCP, etc.
· Experience with machine learning / AI frameworks.
· Strong scientific understanding of molecular biology, immunology, and genomics.
· 2+ years of post-degree experience or equivalent.
Relocation support available
Work Location Assignment:On Premise
Relocation assistance may be available based on business needs and/or eligibility.
Pfizer requires all U.S. new hires to be fully vaccinated for COVID-19 prior to the first date of employment. As required by applicable law, Pfizer will consider requests for Reasonable Accommodations.
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.
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.
Research and Development