Planet Pharma
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https://www.propharmagroup.com
https://www.propharmagroup.com
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Target PR Range: 57-67/hr
*Depending on experience
Description
Research Scientist (Bioinformatics Consultant) - Molecular Epidemiology
The Biomarker Sciences department at client 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: Responsibilities will include, but not limited to, the following:
To conduct statistical analysis from real-world observational or clinico-genomic data from Tempus and publicly available databases (e.g., TCGA, clinical trials, etc).
To lead or co-lead development of study protocols and/or statistical analytical plans for studies.
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 bioinformatics, computational biology, statistics, data science, other relevant fields with at least 1-3 years/ masters degree with at least 5-7 years/BS degree with at least 10 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 studies using real-world large observational data or with multi-omics databases.
Should have experience in running bioinformatics pipelines and familiarity with bioinformatics methods and tools. Should have a good grasp of statistical methodology including multivariate regression methods
Proficiency in programming languages such as R and Python.
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 clinico-genomic and publicly available genomic databases (e.g., TCGA). Experience with large healthcare databases including electronic health records, specialized EMR databases, and claims data is a plus.
Should have general knowledge of drug discovery and development process.
Should have good oral and written communication.
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.
Required Years of Experience: 1-3 for PhD, 5-7 for Masters, and 8 or more for BS degrees
*CO/NYC candidates might not be considered
Research Scientist (Bioinformatics Consultant) - Molecular Epidemiology
Posted: 04/29/2024
2024-04-29
2024-05-30
Employment Type:
Contract
Job Category: Data Sciences
Job Number: 604042
Is job remote?: Yes
Country: United States
Job Description
Target PR Range: 57-67/hr
*Depending on experience
Description
Research Scientist (Bioinformatics Consultant) - Molecular Epidemiology
The Biomarker Sciences department at client 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: Responsibilities will include, but not limited to, the following:
To conduct statistical analysis from real-world observational or clinico-genomic data from Tempus and publicly available databases (e.g., TCGA, clinical trials, etc).
To lead or co-lead development of study protocols and/or statistical analytical plans for studies.
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 bioinformatics, computational biology, statistics, data science, other relevant fields with at least 1-3 years/ masters degree with at least 5-7 years/BS degree with at least 10 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 studies using real-world large observational data or with multi-omics databases.
Should have experience in running bioinformatics pipelines and familiarity with bioinformatics methods and tools. Should have a good grasp of statistical methodology including multivariate regression methods
Proficiency in programming languages such as R and Python.
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 clinico-genomic and publicly available genomic databases (e.g., TCGA). Experience with large healthcare databases including electronic health records, specialized EMR databases, and claims data is a plus.
Should have general knowledge of drug discovery and development process.
Should have good oral and written communication.
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.
Required Years of Experience: 1-3 for PhD, 5-7 for Masters, and 8 or more for BS degrees
*CO/NYC candidates might not be considered
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