Offer summary

Qualifications:

Doctoral degree in epidemiology or relevant fields with at least 2 years of post-degree experience, or a master's degree with at least 5 years of relevant experience., Experience in developing analysis plans and conducting observational studies using real-world EMR or claims data., Proficiency in statistical software such as SAS or R, and familiarity with large healthcare databases., Good oral and written communication skills demonstrated by publications and presentations. .

Key responsibilities:

Lead design and analysis of epidemiologic studies using large administrative and electronic health records data.

Develop analysis plans for real-world data studies in collaboration with lead epidemiologist.

Communicate study findings through internal presentations and assist in drafting conference abstracts and manuscripts.

Work collaboratively on multi-functional projects with other scientists and epidemiologists.

Job description

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 master’s 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 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 $110,500.00 - $276,100.00. 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.

Required profile