Senior Computational Biologist, Tumor BiologyJob Description
We are looking for a talented and highly motivated computational biologist to join a team focused on discovery and development of new therapies targeting tumor cell vulnerabilities, such as regulating cell cycle, DNA damage repair or epigenetics mechanisms. The scientist will work in an inter-disciplinary environment and will have the opportunity to advance cutting-edge cancer therapeutics through Pfizer's robust oncology pipeline. The scientist will closely collaborate with bench biologists to discover molecular mechanisms of novel cancer drugs and identify patients most likely to benefit from new and existing therapies. The scientist will also collaborate with biologists, technologists, translational oncology leads, statisticians and computational biology colleagues on applying machine learning algorithms in drug discovery problems such as predicting drug response and translating findings from in vitro, to in vivo and patient data. The scientist is expected to contribute to development of novel methods for integrative analysis and biological interpretation of high-dimensional molecular data. The successful candidate should have strong biological and computational background, with proven capability of solving complex problems by creating innovative analytical solutions.Responsibilities:
- Collaborate with bench scientist to design experiments and execute computational analysis of large-scale molecular data from preclinical research
- Conduct in silico analysis to help address questions such as identifying predictive biomarkers, prioritizing tumor indication and drug combination, elucidating resistance mechanisms, and identify new drug targets.
- Process, analyze and interpret high dimensional data from diverse OMICS platforms.
- Collaborate with translational oncologists on analysis of early-stage clinical trials molecular biomarker data.
- Contribute to the development of data packages supporting decision making.
- Actively participate in multidisciplinary project teams to formulate data-driven, actionable hypotheses.
- Apply machine learning algorithms for drug discovery.
- Contribute effectively to a shared codebase that can be leveraged broadly for multiple applications.
- Ph.D. or equivalent in computational biology, genetics/genomics, biostatistics or a related field.
- Proficiency in statistical analysis using R, a scripting language (Perl or Python) and working with the UNIX/LINUX environment.
- Deep knowledge of high throughput molecular profiling and experience in mining "big OMICS data", e.g. RNA-Seq, WES, CRISPR etc.
- Strong background in machine learning methods, particularly deep learning methods, is highly desired.
- Expertise applying machine learning methods to multi-omics/high-dimensional data analysis is a plus.
- Track record of innovative and proactive problem solving, preferably in cancer biology and medicine.
- Experience in productive collaboration with bench scientists is highly desirable.
- Ability to multi-task, effectively communicate (oral and written) and work with diverse expertise teams.
\nRelocation support available\n
Relocation assistance may be available based on business needs and/or eligibility.
\nPfizer 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.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. 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