Bioinformatics Consultant

Duration: 12 months contract, Full-Time

Employment Type: W-2

Job Description:

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 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.

Experience qualifications:

• Doctoral degree in bioinformatics, computational biology, statistics, data science, other relevant fields with at least 1-3 years of experience, OR master’s degree with at least 5-7 years, OR BS degree with at least 10 years of relevant post-degree experience, preferably in pharma/biotech or related research organizations/academia.

• Experience in developing analysis plan and conducting analysis for studies using real-world large observational data or with multi-omics databases.

• 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 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.

• General knowledge of drug discovery and development process.

• Ability to work mostly independently in collaboration with lead epidemiologist or other functional partners.

Educational qualifications:

• Ph.D., MS, BS.

Top skill requirements:

• Bioinformatics methods, experience of analyzing large-scale genomic data, fair knowledge of statistical approach and experience with real-world clinico-genomic data. Preferred skills:

• Gene expression and pathway analysis, biopharma, or similar experience.

About US Tech Solutions:

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com.

Recruiter Details:

Name: Shivangi

Email: shivangi.s@ustechsolutionsinc.com

Internal Reference Id: 24-07787