Associate Principal Data Scientist - Early Cardiovascular, Renal and Metabolism

AstraZeneca plc
Boston, MA, United States
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Compensation
$143,323.0 - $214,984.0
Working hours
Regular working hours
Job source

Tech stack

Data Analysis Big Data Bioinformatics Clinical Data Repository Data Mining Python (Programming Language) Machine Learning Shell Script Electronic Medical Records

Job description

  • Analyse and interpret large, complex datasets, including exploratory biomarker data from clinical trials.
  • Validate existing drug targets using data-driven approaches.
  • Identify novel drug targets and biomarkers to support disease modulation and patient stratification.
  • Integrate and analyse big data sources, including genetics, dynamic omics, clinical observations, and electronic health records.
  • Collaborate with internal and external partners to access, assess, and apply relevant data sources.
  • Translate data-driven insights into findings that support drug discovery and development.

Requirements

  • Strong quantitative background with a PhD or equivalent experience in bioinformatics, systems biology, statistics, data science or other quantitative sciences.
  • 6 years of experience
  • Profound knowledge of cardiovascular, renal or metabolism disease biology and experience with analysis of associated molecular and exploratory clinical data.

  • Experience in using computational, statistical and machine learning techniques for the manipulation, visualization, and analysis of large complex datasets.

  • Proficiency in programming languages such as R, Python and experience with Unix/Linux and shell scripting.

  • Excellent consulting, communication, and presentation skills.

Desirable Skills/Experience:

  • Understanding of the biological systems and signaling involved in cardiometabolic disease.
  • Knowledge of statistical data analysis including experimental design, linear/nonlinear models, mixed effect models, exploratory biomarkers, diagnostic analyses, applied Bayesian statistics, data mining, multivariate data analysis, and statistical learning.

  • Experience leading statistical analysis projects aligned to drug discovery.

Benefits & conditions

The annual base pay (or hourly rate of compensation) for this position ranges from $143,323 to $214,984. Our positions offer eligibility for various incentives-an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans.

About the company

At AstraZeneca, we pride ourselves on crafting a collaborative culture that champions knowledge-sharing, ambitious thinking and innovation - ultimately providing employees with the opportunity to work across teams, functions and even the globe.

Recognizing the importance of individualized flexibility, our ways of working allow employees to balance personal and work commitments while ensuring we continue to create a strong culture of collaboration and teamwork by engaging face-to-face in our offices 3 days a week. Our head office is purposely designed with collaboration in mind, providing space where teams can come together to strategize, brainstorm and connect on key projects.

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