Clinical Bioinformatics Scientist Jobs

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:

• Develop standard methodologies for analysis of NGS data including optimization of parameters, and consensus approaches across various tools
• 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.
• Build Bioinformatic workflows/pipelines using Nextflow in a system agnostic manner (on-prem, aws)
• Build scripts, tools, and algorithms to advance assay/new product development
• 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.
• 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.
• Coordinates infrastructure requirements with the business and IT to support the biological and related data architecture.
• Ensures assigned work complies with established practices, policies, processes, and any regulatory or other requirements.
• 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.

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

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