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Postdoctoral Fellow, CTV / I&I


Cambridge, MA
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Job Details

The use of genomics and molecular biomarkers data in biopharmaceutical research and development is undergoing a phase of rapid transition. Large-scale integrated public datasets are increasingly available to contextualize human diseases and biology. Instead of analyzing individual experiment with a small number of samples, there is an opportunity to learn patterns of disease regulation and regulatory constraints from hundreds of thousands of observations or more. Alternatively, in some cases genomics data is increasingly paired with clinical, other biomarker, and genetics data.

We are looking for a highly skilled candidate with expertise in machine learning/AI, computational statistics, and interactive/statistical visualization that is excited to advance the next generation of therapies and methods of drug discovery through knowledge-driven approaches.

Techniques including unsupervised learning, causal inference, deep learning, time-series modeling, and probabilistic modeling will be used to address questions related to:

+ Understanding shared and orthogonal mechanisms across diseases

+ Confidence in a rationale and understanding of molecular mechanisms underlying clinical manifestations

+ Integrating and understanding translatability between model organisms and patient outcomes.

+ Precision medicine and patient selection

This position offers an opportunity to execute cutting-edge computational research within one of the world's leading developers of human therapeutics, at the Pfizer Biomedical Institute based in the Cambridge Innovation Hub.

The Postdoctoral Scientist position will be appointed for an initial period of two years, with an option for two annual extensions, based on research needs and progress.

**Role Responsibilities**

The Postdoctoral Scientist's responsibilities will include:

+ Evaluation and application of machine learning methods on high-dimensional genomics and biomarker data.

+ Construction of predictive models for precision medicine (PM) applications

+ Understanding / mechanistic reasoning modeling of diseases

+ Deployment of deep learning models to Genotype-to-Phenotype (G2P) resources for early discovery efforts

+ Creation of a computational framework that integrates relevant analytical methods into Pfizer's research ecosystem

+ Publications in informatics or clinically oriented journals; presentations at relevant conferences


Recent Ph.D. in Applied Mathematics, Bioinformatics, Biomedical Engineering, Biomedical Informatics, Computer Science, Statistics, or other relevant quantitative field. All candidates with suitable technical backgrounds will be considered.

Required Skills:

+ Desire for learning and growth in advanced computational and methodological research as applied to medicine.

+ Grasp of advanced machine learning / deep learning methods, computational statistics, and probabilistic modeling

+ Ability to prototype analyses and algorithms in a high level language (python, R)

+ Strong programming skills, including knowledge of version control (git)

+ Exposure to computational biology, bioinformatics, or genomics

+ Ability to leverage technologies for data visualization (d3, plotly, ggplot2)

+ Basic data engineering skills - experience with use of RESTful clients, SQL databases, and extract-transform-load (ETL) pipelines.

Desired Skills:

+ Knowledge of functional programming, advanced type systems (e.g. Haskell, Purescript)

+ Knowledge of cloud computing and container technologies

+ Emerging data science / data engineering technology stacks (luigi, airflow, neo4j)

Other Skills for Successful Candidates:

+ Excellent written and oral communication skills

+ Strong research skills and work ethic

+ Ability to work independently

+ Effective problem solving and critical thinking skills

+ Ability to collaborate in a highly inter-disciplinary environment

+ Great organizational skills

**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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