Remote Precision Medicine Clinical Data Scientist – Dallas, TX at Texas Oncology #vacancy #remote

Overview:

Texas Oncology is looking for a full-time Precision Medicine Clinical Data Scientist to join our team! This is a fully remote position that is based out of the corporate office in Dallas, Texas.

Texas Oncology is the largest community oncology provider in the country and has approximately 600+ providers in 220+ sites across Texas and southeastern Oklahoma. 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 todayat Texas Oncology, we use leading-edge technology and research to deliver high-quality, high-touch, 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.

Why work for us?

Come join our team that is responsible for helping lead Texas Oncology in treating more patient diagnosed with cancer than any other provider in Texas. We offer our employees a competitive benefits package that includes Medical, Dental, Vision, Life Insurance, Short-term and Long-term disability coverage, a generous PTO program, a 401k plan that comes with a company match, a Wellness program that rewards you practicing a healthy lifestyle, and lots of other great perks such as Tuition Reimbursement, an Employee Assistance program and discounts on some of your favorite retailers.

What does the Clinical Data Scientist do?

The Precision Medicine Clinical Data Scientist will be 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 person will also assist in the transcription of precision medicine tests ordered by the physician, receipt, and placement of the results into the EMR, as necessary. This person will 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.

Responsibilities:

Essential duties and responsibilities :

  • Analyze, interpret, and visualize complex EMR datasets to identify trends, patterns, and insights.
  • Use Python, Pandas, and REST APIs to retrieve, process, and integrate data from various sources.
  • Perform data cleansing and transformation to ensure data integrity and usability.
  • Design and develop reports and dashboards for various business stakeholders, leveraging the best-in-class visualization tools.
  • Collaborate with cross-functional teams to define business questions and hypotheses.
  • Build and refine statistical models to predict, classify, and understand critical business outcomes.
  • Stay updated with the latest data science trends, tools, and techniques to ensure the company remains at the forefront of technology and best practices.
  • Assist in data governance and ensuring data privacy standards are met.
  • Provide mentorship and guidance to junior data scientists and analysts.
  • Communicate complex data findings and insights in a clear and concise manner to non-technical stakeholders.

Qualifications:

The ideal candidate will have the following background and experience:

  • Bachelors degree in data science, computer science, statistics, or a related field. A masters or higher is preferred.
  • Minimum of 5 years experience working with EMR data.
  • Oncology and genomics data experience is strongly preferred.
  • Extensive prior experience in the analysis of cancer genomics data.
  • Proficiency in Python and SQL for data analysis.
  • Solid experience with REST APIs for data extraction and integration.
  • Strong experience in data cleansing, transformation, and validation techniques.
  • Proficiency in reporting and data visualization tools such as [Tableau, Power BI, or similar].
  • Excellent analytical and problem-solving skills.
  • Strong communication skills, both written and verbal.
  • Familiarity with other data science tools and libraries is a plus.

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. Physical demands of this job typically require full range of body motion including manual and finger dexterity and eye-hand coordination and the ability to read and note appropriate measurements. Requires sitting/standing for extensive periods of time. Occasionally lifts and carries items weighing up to 40 lbs. Requires corrected vision 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 essential functions. While performing the duties of this job, the employee is regularly exposed to direct contact with patients with potential for exposure to toxic substances, medicinal preparations, and chemotherapeutic agents.

Data transformation Business Analyst Tableau data-integrity statistics Analytical skills Computer Science Amazon EMR Writing reports and proposals validation Communication Mentoring lifting data governance data cleansing vision Power BI REST pandas Python Data Science Problem-solving data-visualization Privacy management data-integration SQL

Leave a Reply