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. RequiredDoctorate of Philosophy (Ph.D.) Preferred

Work Experience:

5 years Data Analytics or Data Science within a healthcare organization RequiredMathematics, 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 toolsExpertise 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

#LI-HYBRID

You’re unique and you belong here.

At WellSpan Health, we are committed to treating all applicants fairly and equitably, regardless of their job classification. If you require assistance or accommodation due to a disability, please reach out to us via email at . We will evaluate requests for accommodation on a case-by-case basis. Please note that we will only respond to inquiries related to reasonable accommodation from this email address. Rest assured, all requests for assistance or accommodation are handled confidentially, allowing applicants to share their needs openly and honestly with us.