Precision Medicine Associate Director, Data Science - Dallas, Tx

The US Oncology Network is looking for an Precision Medicine Associate Director, Data Science - Dallas, Texas, to join our team! The position schedule is M - F, 8:00am - 5:00pm with occasional after-hours work.

As a part of The US Oncology Network, Texas Oncology delivers high-quality, evidence-based care to patients close to home. Texas Oncology is the largest community oncology provider in the country and has approximately 600+ providers in 280+ sites across Texas, our founders pioneered community-based cancer care because they believed in making the best available cancer care accessible to all communities, allowing people to fight cancer at home with the critical support of family and friends nearby. Our mission is still the same today-at Texas Oncology, we use leading-edge technology and research to deliver high-quality, evidence-based cancer care to help our patients achieve "More breakthroughs. More victories." in their fight against cancer. Today, Texas Oncology treats half of all Texans diagnosed with cancer on an annual basis.

The US Oncology Network is one of the nation's largest networks of community-based oncology physicians dedicated to advancing cancer care in America. The US Oncology Network is supported by McKesson Corporation focused on empowering a vibrant and sustainable community patient care delivery system to advance the science, technology, and quality of care.

What does the Precision Medicine Associate Director, Data Science position do? The Precision Medicine Associate Director, Data Science oversees a team responsible for the translation and documentation of non-structured information into structured data, such as reviewing clinical information in a non-structured, textual/pdf format and transcribing that information into structured data fields. This manager may collaborate with data scientists within the Precision Medicine Team and clinicians within Texas Oncology and US Oncology Research for the identification of patients who may be eligible for enrollment in clinical trials. This individual will also assist in managing the department's efforts in NLP and AI to transform unstructured documents into useable results and structured data. The manager will be responsible for the delivery of clinical data analysis that encompasses real world data utilizing both structured and unstructured sources. Supports and adheres to the US Oncology Compliance Program, to include the Code of Ethics and Business Standards.

The essential duties and responsibilities:

• Manages a team of data scientists who are responsible for research and deliverables.
• Manage team members on projects to determine data requirements and extraction of patient data from EHR/LIS/CVP and into clinical data repository.
• Manages and contributes to the development of RWD proposals, scientific protocols.
• Works with study sponsors to identify and refine study concepts and deliver study research results in accordance with organizational policies.
• Oversee any department publications and approves research results, abstracts, posters, and manuscripts.
• Should have clinical knowledge and familiarity with working with an EMR for transactional patient management notes.
• Manges the data queries within a database and completing chart reviews within specific application(s), such as the EMR.

The ideal candidate will have the following background and experience:

• Bachelor's degree in science/health care
• Master/PhD preferred.

Or

Associate's Degree + Four (4) years of related work experience

Or

Eight (8) years of related work experience

• Minimum of five (5) years of experience.
• Minimum of four (4) years working with HEOR and RWE/RWD.
• Strong oncology background.
• Experience identifying training needs, providing coaching and mentoring, and creating opportunities for professional growth.
• Strong publication record.
• Excellent research and analytical skills.
• Experience working within an EMR/LIS, and have knowledge about precision medicine, molecular profile testing, genomics, transcriptomics, and proteomics.
• Proficiency in Microsoft Excel, SQL and Python are required.
• Experience with AI projects utilizing NLP is strongly desired.
• Experience with both SQL Server and Azure is strongly desired.
• Experience working in data visualization software, like Tableau
• Possess strong verbal and written communication skills

Physical Demands:

• The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.
• Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
• This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings.
• Requires correct vision, color perception and hearing to normal range.

Work Environment:

• The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job.
• Reasonable accommodations may be made to enable individuals with disabilities to perform the essentials functions.
• Work may require travel by air or automobile, approximately 20% of the time