Math & Computational Scientist

JOB TITLE: Math & Computational Scientist

LOCATION: Center for Health Research, Danville, PA

DEPARTMENT: Research

WORK SCHEDULE: Days

WORK TYPE: Full Time

JOB SUMMARY:

The Department of Imaging Science and Innovation is seeking candidates for Math & Computational Scientist positions.

COMPETENCIES AND SKILLS:

Deep analytical skills with proficiency in theory and applications of machine learning and computational intelligence algorithms

Prior experience in classification and pattern recognition algorithms

Knowledge of data structures, and detection of signals/patterns within structured and unstructured data

Experience in coding mathematical/scientific computing languages (e.g. Python, R, SQL)

Ability to analyze large volumes of high dimensional datasets such as medical images and genomic and electronic patient data

Excellent communication skills, both written and oral, ability to convey complex findings in a clear and compelling manner using data visualization techniques

EDUCATION AND/OR EXPERIENCE:

A successful candidate has a PhD (Comp. Sci., Engineering, Biomedical Science, or Related) with experience in machine learning, image processing and computational science and seeks to apply their skills to real-world clinical problems, particularly in medical imaging and electronic health record data. The individual will conduct and manage multiple research and innovation projects under the supervision of a faculty principal investigator (PI). These projects will leverage world-class data resources at Geisinger:

·         20+ year longitudinal electronic health record encompassing over 1.8 million patients

o   Extensive longitudinal clinical data on population with low out-migration

·         18+ year clinical image Picture Archiving and Communication System [PACS]

o   10 million radiological studies and 1.3 petabytes of clinical images

§  500k echocardiograms

§  400k abdominal CTs

§  200k brain MRIs

o   Fully accessible imaging archive

§  Research PACS and automated image de-identification pipeline

·         GPU (DGX-1) resources and coding environment within the clinical network

·         Prospective genome project with rapidly growing exome sequence database

o   200k consented, 130k sampled, 90k participants sequenced from large biobank

o   Linked to the electronic health record and imaging data

o   Clinical return of results program

·         Extensive healthcare claims database

The specific statements shown in each section of this description are not intended to be all-inclusive. They represent typical elements considered necessary to successfully perform the job.

OUR PURPOSE & VALUES: Everything we do is about caring for our patients, our members, our students, our Geisinger family and our communities. KINDNESS: We strive to treat everyone as we would hope to be treated ourselves. EXCELLENCE: We treasure colleagues who humbly strive for excellence. LEARNING: We share our knowledge with the best and brightest to better prepare the caregivers for tomorrow. INNOVATION: We constantly seek new and better ways to care for our patients, our members, our community, and the nation.

ABOUT GEISINGER: Geisinger is a physician-led health system comprised of approximately 30,000 employees, including nearly 1,600 employed physicians, 13 hospital campuses, two research centers, and a 583,000-member health plan Geisinger is nationally recognized for innovative practices and quality care. Geisinger serves more than 3 million people in central, south-central and northeast Pennsylvania and also in southern New Jersey with the addition of National Malcolm Baldridge Award recipient AtlantiCare, A member of Geisinger. In 2017, the Geisinger Commonwealth School of Medicine became the newest member of the Geisinger Family.

We offer healthcare benefits for full time and part time positions from day one, including vision, dental and domestic partners.* Perhaps just as important, from senior management on down, we encourage an atmosphere of collaboration, cooperation and collegiality. For more information, visit www.geisinger.org, or connect with us on Facebook, Instagram, LinkedIn and Twitter.

If you would like to be considered for one of these positions, please submit your CV to alhaggerty@geisinger.edu 

** Does not qualify for J-1 waiver.  We are an Affirmative Action, Equal Opportunity Employer Women and Minorities are Encouraged to Apply.  All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of disability or their protected veteran status.

*Domestic partner benefits not applicable at Geisinger Holy Spirit.