This job has expired

Data Science Associate Director, Digital Sciences and Translational Imaging Quantitative Sciences, E

Employer
Pfizer
Location
Cambridge, Massachusetts
Salary
Competitive
Closing date
Oct 14, 2022

View more

Discipline
Physical Sciences, Information Technology
Position Type
Full Time
Job Type
President/CEO/Director/VP
Organization Type
All Industry, Pharma
You need to sign in or create an account to save a job.
ROLE SUMMARY

Data Science Associate Director, Digital Sciences and Translational Imaging Quantitative Sciences, Early Clinical Development will be responsible for developing, validating, and deploying solutions enabling digital measures of health in clinical trials across therapeutic areas at Pfizer. The Associate Director will support Digital Sciences & Translational Imaging (DSTI) projects from inception to completion by leveraging their technical expertise in machine learning, software development and analytics knowledge to develop fit-for-purpose algorithms. They will inform the selection of devices, write code to ingest data from these devices, implement the pipelines bringing together data from multiple sources and develop novel digital endpoints by using advanced signal processing and machine learning techniques. A key function of this role will be ensuring data quality, traceability, and integrity are maintained, as well as ensuring scalability of the solutions across sites/studies. They will also play a key role in mentoring junior colleagues and providing guidance to help inform the strategic direction of the data science team.

ROLE RESPONSIBILITIES
  • Lead the development and implementation of novel algorithms for monitoring health using wearable and connected devices by leveraging machine learning, signal processing, and statistical modeling expertise across DSTI projects
  • Ensure repeatability and robustness of analytics solutions, as well as data traceability
  • Partner with internal (e.g. Pfizer Digital, asset teams) and external stakeholders (e.g. vendors, CROs) to scale-up algorithms pipeline for deployment across multiple studies/sites in late stage clinical trials
  • Coordinate with DSTI research project leads and project managers to monitor progress, mitigate technical risk, and implement processes to ensure timely delivery of data analytics solutions and nurture the reliance on data driven decisioning
  • Integrate and summarize large-scale data and information across multiple scientific, translational, and clinical domains
  • Collaborate with DSTI medical informatics team to develop fit-for-purpose, automated data management pipelines using AWS tools
  • Effectively communicate findings with team members, colleagues, external experts, and regulatory authorities, leading the conversation and advancing the field
  • Mentor junior colleagues on the data science team, helping establish DS role models and best practices.


BASIC QUALIFICATIONS
  • PhD in a quantitative field (e.g., data science, statistics, mathematics, computer science, engineering, physics) with 2 or more years of industrial, postdoctoral or similar work experience; or MS with 7 or more years of work experience in biomedical data science
  • Strong background in data science, signal processing, and machine learning
  • Experience with analysis of data from motion (e.g. accelerometer, gyroscope), physiological (e.g. ECG, EMG) and acoustics (e.g. microphone, hydrophone) sensors
  • Proficient in one or more programming languages, e.g., Python, R, Java, MATLAB, and experience using these to build machine learning models
  • Knowledge of human biomechanics and/or physiology is a strong plus
  • Experience with software development in a regulated environment is a plus
  • Experience with implementing cloud native solutions using services such as AWS, Azure, GCP is a plus
  • Experience building data processing pipelines using, e.g., MapReduce, Spark, containers (Docker)
  • Excellent communication (written and verbal) and presentation skills


PREFERRED QUALIFICATIONS
  • Successful track record in data-related sciences such as Computational Biology, Bioinformatics, Statistics, Applied Mathematics, Computer Science, Machine Learning and/or Physics
  • Demonstrated ability to develop and implement innovative algorithms and analytics to facilitate scientific progress
  • Strong publication record is a plus
  • Experience working in a translational, collaborative and multi-disciplinary environment


Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.

Other Job Details
Relocation support available

Work Location Assignment: On Premise

#LI-PFE

\n

Relocation assistance may be available based on business needs and/or eligibility.

\n

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.

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
You need to sign in or create an account to save a job.

Get job alerts

Create a job alert and receive personalized job recommendations straight to your inbox.

Create alert