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    Senior Clinical Data Scientist - San Francisco County, United States - ConcertAI

    ConcertAI
    ConcertAI San Francisco County, United States

    2 weeks ago

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    Description
    Job Requirements

    Company Overview

    ConcertAI's mission is to accelerate insights, advance research, and improve patient outcomes in oncology and across life sciences. ConcertAI's leading real-world evidence, AI technology and software-as-a-service solutions support healthcare decision-making across clinical research & development through commercialization.

    Top biopharma sponsors, clinical research organizations, healthcare providers and institutions rely on ConcertAI's evidence-generation and digital transformation capabilities to advance precision medicine and medical innovation.

    Role Summary


    The Product Insights & Evidence (PIE) team, responsible for supporting epidemiological and analytical utilization of ConcertAI data products, is building an analytics unit.

    We are recruiting data people of various experience levels who enjoy asking questions, testing assumptions and making sense of messy healthcare data.

    Responsibilities


    • Be an expert in the usability and creation of ConcertAI data products from end-to-end
    • Contribute to discussions with internal and external stakeholders in the design, analysis, and interpretation of clinical real world evidence studies
    • Contribute to analyses on epidemiological research projects with potential to write and publish abstracts and manuscripts and participate in poster presentations
    • Conduct in-depth data investigations across the ConcertAI data pipeline to maintain a high level of data quality, completeness, and usability of ConcertAI data products
    • Present key findings to internal and external stakeholders to provide guidance on the usability of ConcertAI data products
    • Publish reproducible reports and develop applications to Posit Connect and/or Github for company-wide consumption
    • Contribute functions, algorithms, and business rules to ConcertAI R packages and Github repositories to increase efficiency and reproducibility of analyses
    Requirements


    • Advanced degree in Epidemiology/Biostatistics or 2+ years of epidemiological research in a health care, pharmaceutical, or health-related academic field
    • 1+ years of relevant work experience in epidemiological research, oncology, and/or RWD
    • Proficiency with statistical modeling methods, including time-to-event analysis (TTE), and methodology expertise with observational datasets
    • Strong proficiency in querying databases with SQL
    • Strong proficiency in programming languages (R preferred)
    • Experienced conducting studies with medical coding sets (e.g. HCPCS, ICD, CPT, SNOMED, LOINC, and NDC)
    • Experience working with EHR-based RWD is a plus
    • Familiarity with oncology data and studies is a plus
    • Proactive and enjoys the data discovery process, digging deep and getting hands-on with data
    • Has an inquisitive mindset to constantly test assumptions and effectively communicate findings to both a technical and non-technical audience
    Learn More About ConcertAI


    Our team at ConcertAI is dedicated to transforming healthcare decision-making through the application of RWE and AI to improve patient outcomes.

    We work in a fast-paced, dynamic, high-performing culture where diversity, collaboration, and innovation are valued. Join us on our quest to create a world free of disease. Learn more about ConcertAI at , or follow us on LinkedIn.


    EEO


    ConcertAI provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

    This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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