Data Scientist

1 month ago

Noida, India Innovaccer Full time

**Your Role**

The technology that once promised to simplify patient care has brought more issues than anyone ever anticipated. At Innovaccer, we defeat this beast by making full use of all the data Healthcare has worked so hard to collect, and replacing long-standing problems with ideal solutions.

**A Day in the Life**
- Be an expert in the usability and creation of data products from end-to-end
- Provide thought leadership on epidemiological use cases and data quality of data products
- Lead discussions with internal and external stakeholders in the design, analysis, and interpretation of clinical real world evidence studies
- Lead 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 data pipeline to maintain a high level of data quality, completeness, and usability of data products
- Present key findings to internal and external stakeholders to provide guidance on the usability of data products
- Contribute functions, algorithms, and business rules to R packages and Github repositories to increase efficiency and reproducibility of analyses

**What You Need**
- Advanced degree in Epidemiology/Biostatistics or 2+ years of epidemiological research in a health care, pharmaceutical, or health-related academic field
- 4+ 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

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