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Research Scientist, Molecular Epidemiology (REMOTE)

  • Location: Foster City
  • $ Salary: US$68.00 - US$73.33 per hour per hour
  • Job Type:Contract

Posted 12 months ago

  • Sector: Life Sciences
  • Contact: Calum Nelson
  • Duration: 6 months
  • Start Date: 17/04/2023
  • Expiry Date: 28 April 2023
  • Job Ref: JN -032023-478250

Research Scientist (RWE Analytics- Contingent) - Molecular Epidemiology

Location: Remote, USA

Contract: 6 months (starting 04/17/2023)

Salary : $68-$73/hour



A leading biopharmaceutical company are looking for a Molecular Epidemiology Scientist to join their team! The 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.



Summary

The Biomarker Sciences department is dedicated to conduct biomarker and translational research to further understanding of specific aspects of biology, inform research, development and pipeline decisions, and advance the effectiveness of available therapies in appropriate patient populations. The Molecular Epidemiology team supports biomarker activities by integrating real-world data and epidemiologic evidence within the biomarker discovery and development strategy.



Responsibilities

· 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 novel analytical or computational (machine learning) technique and data science expertise to integrate and mine large complex data is a plus.



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