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Sands Capital
Sands Capital

Senior Data Scientist

Personal Genome Diagnostics

Personal Genome Diagnostics

Data Science
Posted on Wednesday, July 3, 2024

Labcorp is hiring a Senior Data Scientist. This person will produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. Apply knowledge of statistics, data modeling, data science, artificial intelligence, software engineering / architecture to recognize patterns, identify opportunities and make valuable discoveries. Use a flexible, analytical approach to design, develop, deploy, and evaluate predictive models. Generate and test hypotheses.


  • Interpret data and learn how to present to others (team members, business stakeholders) the stories they represent through rich and intuitive visualizations at an audience-appropriate level.
  • Develop and use novel techniques to explore, visualize, and understand diverse, high dimensional and poorly curated data sets.
  • Present technical ideas and analytical findings to non-technical partners and senior leadership, including underwriters and IT professionals.
  • Build underlying software infrastructure to better manage, integrate and mine the data that Labcorp processes daily.
  • 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 in a collaborative code environment.
  • Experience with multiple deep learning techniques such as Transformers, CNN, LSTM, RNN, etc., in addition to standard machine learning approaches such as those found in scikit-learn.
  • Master of evaluation techniques for supervised and unsupervised techniques. Knows how to evaluate the quality of data and determine gaps in data or assumptions.
  • Strong data visualization skills.

Technologies and Tools

  • Experience using cloud technologies such as AWS with services such as S3, Lambda, Athena, API Gateway, SageMaker, Glue, ECR, ECS, EKS, Quicksight, Step Functions, VPC, Cloudwatch, IAM, Kinesis, and Bedrock
  • Languages: Python, SQL, R, Spark (PySpark)
  • Packages: Scikit-learn, Pandas, Numpy, Scipy, Tensorflow, Pytorch, SpaCy, Spark/PySpark, Spark Mllib, Matplotlib, Seaborn, Statsmodel, Keras, OpenCV, Prophet, Plotly, Boto3
  • Technologies: git, Docker, Jira, Bitbucket, Jenkins, Splunk, Urban Code Deploy, Veracode


  • Experience in data analysis, statistical learning, and machine learning.
  • Experience with statistical methodologies and machine learning techniques such as: neural networks, graphical models, ensemble methods, forecasting, linear programming, natural language processing, LLMs.
  • Proficiency with Python. Can develop meaningful python code using object-oriented programming and functional programming. Writes tests for code. Can debug errors quickly.
  • Strong data visualization skills.
  • Familiarity with one or more machine learning libraries or frameworks such as: PyTorch, Tensorflow, scikit-learn.
  • Programming experience in bash, SQL, and other non-relational databases (e.g. vector) is highly desirable.
  • Technical proficiency and demonstrated success in scientific creativity, collaboration, 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.
  • Drive project execution and implement a robust plan for measuring success.
  • Lead discussions with senior leadership at the department or functional level.
  • Regularly work with a computer for approximately 6-8 hours a day.
  • Must be able to read and understand scientific and complex directions.
  • Must provide evidence of relevant research expertise in the form of presentations, software, technical publications, and/or knowledge of applications.


  • Masters + 4 years of experience or PhD + 2 years of experience.

Application Window closes July 22, 2024

Pay Range: $88,000 - 180,000

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. If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site or contact us at Labcorp Accessibility.

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