Senior Computational Biologist

ROLE SUMMARY
Pfizer's Rare Disease Research Unit (RDRU) is dedicated to the development of novel therapeutics for orphan diseases. Our growing Integrative Biology team, located in Cambridge, Massachusetts, is looking for a highly motivated and skilled computational biologist to contribute to our target discovery and drug development efforts. You will work together in teams with laboratory biologists, computational biologists, geneticists, and statisticians within the RDRU and across the broader Pfizer community in a friendly and highly collaborative environment to deliver impactful and actionable insights predominantly from multi-omics data sets. A successful candidate will understand the statistical principles underlying the analysis of common data types such as bulk RNAseq, scRNAseq, proteomics, and genomics in addition to the technical skills required to process these data types in HPC and cloud-based environments.
ROLE RESPONSIBILITIES
There is some flexibility to tailor the responsibilities of this role commensurate to the skill and experience of the applicant.
- Design, execute, document, and communicate analysis of multiple 'omics data types
- Apply principles of sound statistical design
- Stay current with relevant biological and computational literature, conference proceedings, and emerging methodologies
- Execute data analysis projects consistent with specified timelines and milestones
- Synthesize and clearly communicate study findings and analyses to a diverse audience of internal partners, leadership, and collaborators
- Integrate analyses of multiple data types to uncover novel insights
BASIC QUALIFICATIONS
- Background in biological and/or quantitative sciences; PhD in a biology, cellular/molecular biology, genetics, computational biology, data science, or a related field with 3+ years of relevant experience
- Sound understanding of core statistical principles
- Proficient in R, familiar with at least one scripting language (e.g., Python) and SQL
- Proficient in Unix-based command line interface and familiar with high performance computing and cloud-based environments
- Fluency in start-to-end analysis of at least two types of 'omics data such as bulk RNAseq, scRNAseq, spatial transcriptomics, ChIP-seq, proteomics, metabolomics, or epigenetics with particular expertise in at least one
- Proficient in standard methods for reproducible research such as Jupyter Notebook and/or Rmarkdown
- Familiarity with versioning tools such as git
- Excellent communication, interpersonal, and presentation skills
- Ability to multi-task and prioritize amongst competing time-sensitive projects
- Strong desire and demonstrated ability to continually learn new skills
PREFERRED QUALIFICATIONS
- Intermediate or advanced understanding of human biology/medicine, ideally with experience in any one of the following: neurology/neurodegenerative disease, repeat expansion disease, cardiomyopathy, non-oncological hematology, or metabolic disease
- Track record of innovative and impactful research including peer-reviewed publications
- Experience coding and deploying data visualization applications such as R Shiny
- Experience implementing and maintaining a relational database
PHYSICAL/MENTAL REQUIREMENTS
- Ability to perform mathematical calculations
- Ability to perform complex data analysis
Other Job Details
Eligible for Relocation Package
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