Data Scientist

Labcorp
Durham, NC Full Time
POSTED ON 10/31/2023 CLOSED ON 11/7/2023

What are the responsibilities and job description for the Data Scientist position at Labcorp?

Labcorp is hiring a Data Scientist to join their existing team. You will produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, data modeling, data sciences and artificial intelligence to recognize patterns, identify opportunities and make valuable discoveries. Use a flexible, analytical approach to design, develop, and evaluate predictive models. Generate and test hypotheses and be involved from ideation through delivery.  

Duties and Responsibilities:

  • Interpret data and learn how to present to others the stories they represent through rich and intuitive visualizations.
  • Learn to develop novel ways of integrating, mining and visualizing diverse, high dimensional and poorly curated data sets.
  • Develop, test and validate predictive models.
  • Build underlying software infrastructure to better manage, integrate and mine the data that LabCorp processes on a daily basis.
  • Work closely with engineering teams and with some supervision participate in the full development cycle from product inception, research and prototyping to release in production.
  • Write production quality code while implementing your own ideas.

Knowledge, Skills & Abilities:

  • Experience in data analysis and statistical learning
  • Experience with statistical methodologies and machine learning techniques such as: neural networks, graphical models, ensemble methods and natural language processing
  • Proficiency with R/S-PLUS, R, Matlab is highly desirable.
  • Strong data visualization skills.
  • Familiarity with one or more machine learning libraries or frameworks such as: PyTorch, Tensorflow.
  • Programming experience in Java, Python or Perl and experience with rational and non-structure databases is highly desirable
  • Demonstrated success in technical proficiency, scientific creativity, collaboration with others and independent thought.
  • Ability to collaborate with the team and translate existing research into practical solutions and products ability to build and manage relationships with various collaborators across and outside the company.
  • Comfortable working with both technical and non-technical staff to translate concepts and algorithms into working prototypes.

Requirements:

  • Advance degree is required in Computer Science, Engineering, Statistics, Math or related field
  • Must be able to provide evidence of relevant research expertise in the form of presentations, software, technical publications, and/or knowledge of applications.
  • Master with at least 2 years’ or Ph.D. with experience in a Data science setting.

Benefits: All job offers will be based on a candidate’s skills and prior relevant experience, applicable degrees/certifications, as well as internal equity and market data. Regular, full-time or part-time employees working 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(K), ESPP, Paid time off (PTO) or Flexible time off (FTO), Commissions, and Company bonus where applicable.  For more detailed information, please click here

Labcorp is proud to be an Equal Opportunity Employer:

As an EOE/AA employer, Labcorp strives for diversity and inclusion in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications of the individual and do not discriminate based upon race, religion, color, national origin, gender (including pregnancy or other medical conditions/needs), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. We encourage all to apply.

For more information about how we collect and store your personal data, please see our Privacy Statement. 

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