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Data Scientist - R&D (Phoenix, AZ or Dallas, TX)
Job Details
Level: Experienced
Job Location:Phoenix, AZ
Remote Type: N/A
Position Type: Full Time
Education Level: Graduate Degree
Salary Range: Undisclosed
Travel Percentage: Negligible
Job Shift: Undisclosed
Job Category: Science
Description
Position Summary:
Caris Life Sciences is looking for a sharp, driven and goal-oriented Data Scientist/Analyst to provide informatics support for target discovery and R&D missions. The candidate will be responsible for developing algorithms and analytic pipelines to drive forward Caris’ research initiatives. The successful candidate will possess proficient analytical capability, solid scientific background and strong communication skills. We are looking for team oriented, hands on experts with a passion for personalized medicine and innovation in statistical and mathematical analyses.
Job Responsibilities:
Developing and validating tools for target discovery and R&D support.
Tasked with developing, implementing, refining, and testing algorithms and workflows to achieve the specific goal in the project.
Statistical support for design and development of quality control process for diagnostic assays and products.
Manipulate and process large multisource data sets.
Respond to and manage ad hoc requests to ensure accurate, in-depth results/data are delivered in a timely manner.
Review clinical study reports for statistical content.
Provide general informatics support for laboratory research, technology development and clinical studies.
Adhere to coding and documentation standards and manage deliverables for area of responsibility.
Requirements:
Ph.D. or Master’s degree in Bioinformatics, Computational Biology, Mathematics, Computer Science, Engineering or a related field with exposure to cancer biology.
Ability to understand biological/pathological questions and formulate statistical and data analysis methods to provide solution to novel problems.
Ability to query complex data from database.
Experience in developing databases (SQL and noSQL) and data-driven applications.
Experience with state-of-the-art machine learning and deep learning methods and frameworks.
Familiar with visualization tools including Tableau, Looker, Plotly and/or Bekeh.
Proficient verbal and written communication skills to explain complex technical details in clear language.
Proficiency in modern programming languages including Python and/or R.
Proficiency in Linux environment.
Commitment to the successful achievement of team and organizational goals through a desire to participate with and help other members of the team.
Demonstrate a focus on listening to and understanding user needs and then delighting the customer by exceeding service and quality expectations.
