Research Bioinformatician - Precision Medicine Research - Days

Full Time (80 hours/biweekly)

Shift: Days (8am - 4:30pm)

Monday - Friday

General Summary

Responsible for enhancing precision medicine delivery through efficient analyses of genomic data, accelerating research and development through streamlined data processes, fast-tracking discovery and validation of new genetic markers, and improving genomic data integration through cutting- edge statistical methods. This position requires the soft skill of story-telling through data, by turning technical information into easy-to-understand non-technical action items.

Essential Functions:

• Design, develop, and maintain bioinformatics pipelines for genomic data analysis.
• Perform quality control, alignment, variant calling, and annotation of sequencing data.
• Accesses data from third-party vendor tools.
• Utilize advanced statistical techniques to identify and validate genetic associations.
• Collaborate on the development of predictive models for disease risk and treatment response.
• Develop and manage databases and data warehouses for large-scale genomic datasets.
• Implement data integration solutions to combine genomic data with clinical and phenotypic information.
• Applies appropriate techniques and programming languages (e.g. R, Python, SQL) to identify patterns and trends. Provide interpretation of results to stakeholders, applying visualization techniques (e.g. Microsoft Power BI) as needed.
• Integrate new methodologies to improve existing workflows and analytical capabilities.
• Works with the Precision Medicine team to ensure best practice standards in the area of genomic analysis.
• Work closely with geneticists, clinicians, and data scientists to interpret results.
• Contribute to research projects, grants, and publications.

Common Expectations:

• Enhances professional growth and development through participation in educational programs, current literature, in-service meetings, and workshops.
• Provides outstanding service to all customers; fosters teamwork; and practices fiscal responsibility through improvement and innovation.
• Stay updated on emerging bioinformatics tools, statistical methods, and data engineering technologies.

Qualifications

Minimum Education:

• Masters Degree Computational Biology, Statistics, Data Science, Computer Science, or related fields. Required
• Doctorate of Philosophy (Ph.D.) Preferred

Work Experience:

• 5 years Data Analytics or Data Science within a healthcare organization Required
• Mathematics, Finance, Statistics, or Computer science or related field Preferred

Knowledge, Skills, and Abilities:

• Proficient in programming languages such as Python, R, Java, or C++.
• Experience with statistical software and tools (e.g., SAS, SPSS) and data analysis visualization tools (e.g., R Shiny, MATLAB)
• Familiarity with big data technologies (e.g., Hadoop, Spark) and database systems (e.g., SQL, NoSQL).
• Extensive experience with next-generation sequencing data analysis.
• Knowledge of genomic databases and resources.
• Proficient with Genome GPS, Pickard, Hail, GWAS tools, PheWAS tools
• Expertise in data modeling, and implementation of data pipelines for analysis.
• Experience with developing research data enclaves and lifecycle management.
• Confidence in presentation of findings and excellent communication skills are required.
• Strong analytical and problem-solving abilities.
• Excellent communication skills and ability to work in a multidisciplinary team.
• Attention to detail and a commitment to data quality and integrity.
• Experience with cloud computing and distributed compute platforms (e.g., AWS, Azure, Google Terra Verily) preferred.

Benefits Offered: 

• Comprehensive health benefits 
• Flexible spending and health savings accounts 
• Retirement savings plan 
• Paid time off (PTO) 
• Short-term disability 
• Education assistance 
• Financial education and support, including DailyPay 
• Wellness and Wellbeing programs 
• Caregiver support via Wellthy 
• Childcare referral service via Wellthy 

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