RWD Data Scientist

4 weeks ago

Plymouth Meeting, United States CareerBuilder Full time

Work Experience

Role Summary

ConcertAIis looking for a talentedData Scientist to build advancedanalytics solutions as part of ourclient-facing data scienceteamengaging in projects and programs of high priority. You will be responsible for data exploration, analysis,development ofmachine learning methods forpredictive/descriptive modeling of patient datain the oncology domainusingConcertAIs Real World Datafrom electronic health records.You should have abackground inlife science, genomicsand/or medicinewith experience in data analytics, programming (Python) and some statistics/machine learning.You willworkcloselywitha cross-functional team ofsubject matter experts,data scientists,anddata and softwareengineersto assistourclients to derive valuable insights, advance oncology research and improve patient outcomes.

Responsibilities

Work with clientand internalteamsto advance approaches that best utilizeConcertAIs real world data (RWD) and technologies and provide solutions to ConcertAIsclients
Understand client goals, providing scientific andmethodologicaldirection and translate clinical questions into practical data science solutions
Develop deep understanding for oncology patient journeys and analyze, visualize, interpret, and contextualize results forand withclients
Convert complex longitudinal data into data frames ready for bespoke analysis and/or machine learning, iterating repeatedly with clinical and client stakeholders
Design and implement data science solutionsto find clinical and genomic biomarkers of response to oncology drugs such as immune checkpoint inhibitors, TKIs, ADTs etc. in diseases like lung, prostate and bladder cancers
Present your results in a simple and interpretable manner to the clients with diverse backgrounds
Contribute to publications with your research
Proactively communicate with internal experts from data curation, data products team and clinical experts to answer questions about our data

Requirements(not every successful candidate will have all of these)

MSin a STEM field or equivalent experience, with training inbiomedicine, stats,bioinformatics,computational biology,data science,physicsormath
Strong communication skills to present complex insights to clients on frequent basis
Enthusiasm for working with complex datasets and in an interdisciplinary, client-facingrole
2+ years hands-on experience in analyzing messy real world data
Subject matter expertise (oncology or RWD) or the drive to quickly learn these areas and the passion to deeply understand the data
Strong programmingskillsin Python and knowledge of SQL
Good understanding of statistical concepts and probability theory
Experience with basic modeling (regression, classification, survival analysis etc.) and familiarity with advanced machine learning approaches (random forest, XGBoost etc.).
Comfortable in working in a fast-paced and changinghigh growthenvironment

Preferred Qualifications

2+years experiencein client-facing role and comfortable torunand owna client workstream
2+ years experience in applying advanced machine learning (random forest, XGBoost etc.) and/ or deep learning and/or causal inference on healthcare related problems
Experience working with genomics data

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