Job Details

Level
Experienced

Job Location
Phoenix, AZ - 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 Senior Data Science 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.

Required Qualifications

• Master's degree in Bioinformatics, Computational Biology, Mathematics, Computer Science, Engineering or a related field with exposure to cancer biology.
• 2+ years of professional experiences in working with large data sets, structured and unstructured, that include (but not limited to) data wrangling and modeling.
• 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.
• 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.
• Conditions of Employment: Individuals must successfully complete pre-employment process, which includes criminal background check, drug screening, and reference verification. Also, individual must be fully vaccinated for COVID-19 by the date of hire to be considered for U.S.-based jobs, if not currently employed by Caris Life Sciences.

Preferred Qualifications

• 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.

Core Skills & Competencies:

• 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.

Physical Demands

• Visual acuity and analytical skill to distinguish fine detail.
• Must possess ability to sit and/or stand for long periods of time.
• Must possess ability to perform repetitive motion.

Training

• All job specific, safety, and compliance training are assigned based on the job functions associated with this employee.

Other

• This position may require travel and some evenings, weekends and/or holidays.

This job description reflects management's assignment of essential functions. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time.

Caris Life Sciences is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.