FSP Epidemiologist/Senior Epidemiologist (Molecular Epidemiology)

Location: Remote candidates must be US-based

This role will be embedded on a Molecular Epidemiology team that supports biomarker activities by integrating real-world data and epidemiologic evidence within the translational biomarker and development strategy. Under the supervision of Molecular Epidemiology Head will be responsible for conduct and analysis of epidemiology studies using observational real-world databases. The position is expected to work across therapeutic areas that include oncology virology and immunology.

Responsibilities: Responsibilities will include but not limited to the following:

• To lead design and analysis of epidemiologic studies using large administrative and electronic health records (EHR) data including clinico-genomic and specialized EMR data to support biomarker and drug development activities.
• To work with lead epidemiologist to develop analysis plan for RWD studies
• To lead or co-lead study protocol writing or team GxP Manual Development
• To work with functional partners to access RWD data repositories and conduct analysis in compliance with company policies
• To work collaboratively on multi-functional projects and interact with other epidemiologists biomarker scientists and scientists from other functions including clinical pharmacology biology clinical research and clinical data science on a regular basis.
• To effectively communicate study findings through internal presentations assist in drafting conference abstracts and manuscripts for publication in peer reviewed journals.

Qualifications:

• Candidates should have a doctoral degree in epidemiology or other relevant fields with at least 2 years of experience post-degree or masters degree with at least 5 years of relevant post-degree experience preferably in pharma/biotech or related research organizations/academia
• Should have experience in developing analysis plan and conducting analysis for observational studies using real-world EMR or claims data or large observational data. Experience with multi-omics database and/or experience in molecular epidemiology studies is a plus
• Should have a good grasp of statistical methodology required for observational studies (descriptive bivariate and multivariate statistics). Should have proficiency with statistical software (SAS R etc.) and programming. Experience in applying novel analytical or computational (machine learning) technique and data science expertise to integrate and mine large complex data is a plus.
• Candidates are expected to have familiarity with large healthcare databases including electronic health records specialized EMR databases and claims data.
• Knowledge of population biobank (e.g. UKBB) or clinico-genomic (e.g. Tempus AI) and publicly available genomic databases (e.g. TCGA) is a plus.
• Should have general knowledge of drug discovery and development process.
• Should have good oral and written communication skills demonstrated by a track record of publication(s) in major scientific journals and presentations in national or international conferences.
• Candidates are expected to have the ability to work mostly independently in collaboration with lead epidemiologist or other functional partners
• Candidates are expected to work in a diverse collaborative cross-functional environment

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

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. potential base pay range for this role when annualized is $110500.00 - $276100.00. 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.