Translational Bioinformatics Scientist- home-based
Translational Bioinformatics Scientist- home-based
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Job Description
Job Description
Contact:Neisha Camacho/Terra Parsons
No 3rd party agencies
The Position: Reporting to the Bioinformatics & Systems Biology Leader the Translational Bioinformatics Scientist will leverage their strong research experience and computational skills to work on biomarker discovery and mechanism understanding in disease prognosis/diagnosis and responses to intervention in support of our entire clinical development portfolio. You will play an important role to support the success of clinical trial development product licensure and implementation with the opportunity to impact diseases that affect millions disproportionally in low & middleincome countries. You will be a key partner to our product development teams and will work collaboratively with the biomarker biometrics clinical development and discovery groups to advance novel interventions against our diseases of interest. The successful candidate will primarily work on multiscale multidimensional data generated from the stateoftheart assay technologies and develop/leverage cuttingedge statistical and bioinformatics methods to drive Translational Medicine research that bridges between early discovery and latestage product development.
Responsibilities:
- Develop analytics pipelines for a range of varied types of highdimensional biomarker data including but not limited to data from next generation sequencing flow cytometry mass spectrometry 16S rRNA sequencing or imaging.
- Work collaboratively with our internal and external teams to conduct nonclinical/clinical data analysis data harmonization data visualization and methodology benchmarking.
- Support strategic planning for biomarker data analysis in support of exploratory biomarker strategies in clinical trial design.
- Manage and improve the bioinformatics teams code and data repository and training documents.
- Work with IT and biometric teams to establish and maintain an automated workflow for data acquisition and processing in a cloudbased environment.
- Be accountable for data interpretation presentation and manuscript preparation for the analysis results generated from our studies.
- The candidate will be passionate about scientific discovery with the datadriven approach and be excited to work at the interface between biomarker scientists biostatisticians and clinical researchers.
- Work with clinical biostatisticians and bioassay scientists to validate reproducibility of the predictive biomarker models prior to translating to clinical implementation.
Qualifications:
- PhD with 4year experience in Computational Biology Bioinformatics Statistics Computational Sciences or Biomedical/Biological Engineering or MS in a related field with 10 years of related experience.
- Strong scientific understanding of Molecular Biology Immunology Microbiology or Genomics.
- Strong experience in processing and analyzing data from highthroughput technologies such as next generation sequencing flow cytometry or mass spectrometry and understanding of pathway/network analyses and gene/cell/immune system regulation.
- Excellent programming skills across multiple languages such as Python and R.
- Strong background in statistical fundamentals and analysis.
- Demonstrated experience in cloudbased parallel computing environment and data science development platforms such as GitHub/GitLab Jupyter R shiny Anaconda and Docker is required.
- Solid experience applying multivariate statistical approaches such as machine learning and deep learning tools to model biological data is a big plus.
- Experience in infectious disease is preferred.
- Experience in microbiome data analysis is a plus.
- Capability for independent thinking innovative analyses of large biological datasets.
- Ability to communicate technical information and scientific concepts in a clear manner.
- Personal attributes: selfdriven fast learner problem solver. Must be able to meet deadlines consistently.
Employment Type
Contract
