Title : Research Scientist (RWE Analytics- Contingent) - Molecular Epidemiology
Location : 100% Remote
Pay : $50.00 - $70.00 on W2

The Molecular Epidemiology team supports biomarker activities by integrating real-world data and epidemiologic evidence within the biomarker discovery and development strategy.
Research Scientist, under the supervision of Molecular Epidemiology Head within the Biomarker Sciences, 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 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 protocol and analysis plan for RWD studies
• 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 biomarker scientists and scientists from other functions including clinical pharmacology, biology, bioinformatics, 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, statistics, data science, health or other relevant fields with at least 2 years 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 Client 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 clinico-genomic 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