Senior Clinical Bioinformatics Data Scientist

Location: home-based anywhere in the United States only

Job Overview:

IQVIA is hiring to expand our dedicated Real World Evidence (RWE) FSP team, working fully within the environment of a prominent Pharma company supporting biomarker and translational research activities using real-world data. The Sr Data Scientist will be responsible for conducting and analysis of studies using clinic-genomic and observational real-world databases across oncology, virology, and immunology therapeutic areas. It is important for this individual to have knowledge in observational research and bioinformatics, a strong statistical programming skillset, and experience managing multiple studies and complex analyses.

Responsibilities:

• Conduct complex analysis of real-world observational or clinico-genomic data that are available publicly or commercially (e.g., TCGA, Tempus, etc.).
• Review and contribute to development of study protocols and/or statistical analytical plans for studies.
• Work collaboratively on multi-functional projects and interact with biomarker scientists and scientists from other functions including clinical pharmacology, biology, bioinformatics, clinical research, and clinical data science on a regular basis.
• Effectively communicate study findings through internal presentations, assist in drafting conference abstracts and manuscripts for publication in peer reviewed journals.

Qualifications:

• Doctoral degree in bioinformatics, computational biology, statistics, data science, other relevant fields with 1-3 years of relevant experience or master’s degree with 5-7 years, preferably in pharma/biotech or related research organizations/academia. Combination of relevant years of industry experience and education will be considered in lieu of a degree
• Experience in developing analysis plans and conducting analysis for studies using large real-world observational data or with multi-omics databases.
• Experience running bioinformatics pipelines and familiarity with bioinformatics methods and tools.
• Good understanding of statistical methodology including multivariate methods
• Proficiency in programming languages such as SAS, R, Python, and Shell and familiarity with cloud computing environment.
• Understanding of novel analytical or computational (machine learning) techniques and data science to integrate and mine large complex data is a plus.
• Familiarity with clinico-genomic and publicly available genomic databases (e.g., TCGA) required.
• Experience with large healthcare databases including electronic health records, specialized EMR databases, and claims data is a plus (including Tempus)
• General knowledge of drug discovery and development process.
• Expertise in immune-oncology concepts including clinical timelines, lines of therapy, treatment outcomes, survival analysis, statistical comparisons (univariate / multi-variate), etc., required.

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IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com

IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe

The potential base pay range for this role, when annualized, is $88,300.00 - $220,900.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.