IQVIA

We are seeking a highly creative, passionate, and motivated individual to design, development and implementation of statistical, bioinformatics, and machine learning methods that integrate large multi-modal datasets to derive quantitative biological insights that support clinical development, translation of clinical findings, and other business decision-making. The candidate should have a passion for working collaboratively with biomarker scientists and other computational scientists to enable building the necessary tools for advancing bioinformatics platform of clinical drug development support.

The candidate will develop and utilize a comprehensive understanding of biological and related data and foster learning using data engineering, automation and visualization tools, and applications to broaden efficiency with data accessibility while enabling a culture of data-driven decision-making. May also contribute to presentations and publications of clinical genomics and biomarker findings either as conference publications, journal publications, or regulatory documents.

Description:

• Build scripts, tools, and algorithms to advance assay/new product development
• Build Bioinformatic workflows/pipelines using Nextflow in a system agnostic manner (on-prem, aws)
• Develop standard methodologies for analysis of NGS data including optimization of parameters, and consensus approaches across various tools
• Plays a key role in both internal and external collaborations in complex data analysis, including but not limited to genomic data, protein assay data, cytokine and chemokine data from patient samples, to support patient stratification and biomarker selection for clinical development programs.
• Develops predictive models using statistical techniques and machine learning for analysis of large omics and high dimensional data from internal, publicly available, commercial and Real-World datasets to enable target identification / assessment, drug combinations, understanding of MOA, disease mechanisms, etc.
• Coordinates infrastructure requirements with the business and IT to support the biological and related data architecture.
• Develops data dashboards, visualizations, and analytical tools to improve visualization, integration, and accessibility of complex clinical data and enable data analysis and exploration by the broader Research & Development organization.
• Identifies and recommends continuous improvement opportunities that advanced computational methods can address for biomedical data lifecycle management, integration, data security, data quality management, and metadata management.
• Ensures assigned work complies with established practices, policies, processes, and any regulatory or other requirements.

MS in statistics, mathematics, bioinformatics, genomics, computer science or related discipline with 2+ years’ bioinformatics or related experience.

• BS in statistics, mathematics, bioinformatics, genomics, computer science or related discipline with 4+ years’ relevant experience in bioinformatics or related field.
• At least 2 years' experience working in a bioinformatics pipeline or algorithm development role.
• Experience developing bioinformatics pipelines, including expertise with standard Next-generation sequencing analysis tools such as BWA, GATK, samtools, etc.
• Basic statistical and algorithmic understanding of NGS-based bioinformatics analyses
• Experience with Nextflow or other Distributed Workflow orchestration tools
• Experience with Docker or other containerization/virtualization
• Experience using high-performance compute clusters using SGE, Torque, Slurm or equivalent.
• Fluency in multiple programming/scripting languages such as Python, Bash, R.
• Familiarity with different assays and sequencing applications (WGS, WES, RNA-seq).
• Experience with software development best practices, including unit testing, continuous integration, issue tracking, software life cycle, and code sharing.
• Significant experience working with multi-omics and large-scale biological datasets.
• Significant experience working with a broad range of statistical methods, including machine learning methods.
• Strong programming skills in key languages used by Bioinformatics and Statistics, e.g., R, Python, etc., with proven capabilities to manipulate large and sophisticated datasets.
• Significant experience working with cloud computing systems, data management systems, advanced statistical software and visualization tools.
• Strong proficiencies in problem-solving, bioinformatics or other data analytics algorithm design, genomic and proteomic technologies, and high throughput experimental techniques, e.g., next generation sequencing technologies, single cell technologies, and/or their applications.
• A track record in publications within own field is preferred.
• Domain knowledge in molecular biology and genomics, particularly in areas of cancer, virology and inflammation disease, is a plus
• Database knowledge, for instance MySQL
• Demonstrated ability to be a fast learner.
• Demonstrated ability to be flexible and adaptable to change, to move between projects easily and provide support/expertise where needed.
• Proven ability to conduct effective and efficient exploratory analysis on large volumes of data and identify key descriptive and inferential properties.
• Strong communication and organizational skills.

IQVIA is a leading global provider of advanced analytics, technology solutions and clinical research services to the life sciences industry. We believe in pushing the boundaries of human science and data science to make the biggest impact possible – to help our customers create a healthier world. Learn more at https://jobs.iqvia.com

We are committed to providing equal employment opportunities for all, including veterans and candidates with disabilities. https://jobs.iqvia.com/eoe

As the COVID-19 virus continues to evolve, IQVIA’s ability to operate and provide certain services to customers and partners necessitates IQVIA and its employees meet specific requirements regarding vaccination status. https://jobs.iqvia.com/covid-19-vaccine-status