Senior Data Science Manager
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Job Summary
When our values align theres no limit to what we can achieve.
At Parexel we all share the same goal - to improve the worlds health. From clinical trials to regulatory consulting and market access every clinical development solution we provide is underpinned by something special - a deep conviction in what we do.
Each of us no matter what we do at Parexel contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally we do it with empathy and were committed to making a difference.
We are looking for a candidate with strong computational statistical and biological capabilities and a demonstratedtrack recordof translating complex multi-modal data into testable hypotheses and actionable insights in support of clinical development activities and decisions.
You will driveexploratoryand confirmatory analyses (both hypothesis-generating and hypothesis-driven) across diverse data types generated in drug development including clinical trial data genomics proteomics imaging flow cytometry and other biomarker modalities. You will define and implement approaches processes algorithms and pipelines that support the analytics visualization and decision support needs of drug development scientists and project teams while collaborating closely with Biostatistics leads Translational and Clinical Scientists and cross-functional partners across the organization.
Key Qualification Experience and Skills Requirements;
Ph.D. in a relevant quantitative field(e.g. Computational Biology Biostatistics Statistics Biomedical Engineering Computer Science or related field) and1 yearsof academic/industry experience;orMasters Degreein a relevant quantitative field and3 yearsof industry experience
Strong experience in data science and statistical analysis with data generated from clinical trials or electronic health records particularly in application to pharma R&D
Experience in developing andvalidatingstatistical and machine learning models on high-dimensional data for time-to-event longitudinal and multivariate outcomes
Experience in the application of AI/ML andproficiencyin Python R SQL and cloud platforms (e.g. AWS Azure Databricks)
Familiarity with clinical trial design drug development processes and the role of biomarkers in regulatory and clinical decision-making
Perspective inleveraginginnovative approaches toexpeditedrug development and address the complexities of emerging data
Ability to work both independently and collaboratively and to handle several concurrent fast-paced projects
Strong problem-solving and collaboration skills and rigorous and creative thinking
Excellent communication data presentation and visualization skills
Capable ofestablishingstrong working relationships across the organization
Preferred Qualifications
Experience withgenomics proteomics imaging flow cytometry or immunobiology datasetsfrom clinical trials is highly preferred
Experience withNLPis highly preferred
Experience withSurvival Analysisand time-to-event modeling is highly preferred
Experience withcausal ML and explainable AIis highly preferred
Knowledge of molecular biology and understanding of disease pathways is preferred
Experience with real-world data (RWD/RWE) sources and associated analytical methods is preferred
Familiarity with digital health data and wearable/sensor-derived data types is a plus
Experience with scalable compute and deployment patterns including cloud-based platforms and parallelization for large-scale data processing and model training is a plus
Outline of Daily Key Responsibilities;
* Data Science & Analytics
* Data Engineering & Reproducibility
* Collaboration & Technical Contribution
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Required Experience:
Manager
About Company
Parexel is in the business of improving the world’s health. We do this by providing a suite of biopharmaceutical services that help clients across the globe transform scientific discoveries into new treatments. From clinical trials to regulatory, consulting, and market access, our the ... View more
