Labcorp is implementing an exciting new "big data" approach to cancer testing. We are integrating the test results from our national oncology testing business into an enterprise data warehouse to enable a variety of data mining applications. We have an excellent opportunity for a highly motivated data scientist leader within our new Real World Data (RWD) Informatics group. You will be part of a collaborative, cross-functional team bringing together software engineers, clinicians, data scientists, and informaticists to extract clinical insights from oncology real world data. Oncology testing data is complex and heterogeneous; we need people who can bring both biomedical understanding and data management skills to the task of making this data usable.

Essential Duties and Responsibilities:

• Act as an expert resource for the RWD Informatics team and the broader company for RWD insight generation, analytical techniques, data limitations and requirements to enhance and interrogate Labcorp’s RWD assets

• Supervise and perform the analysis of complex, multi-modal RWD assets to drive internal insight generation and collaborative research

• Ensure the delivery of data payloads in fulfillment of contracted RWD commercial activities

• Oversee the development, testing, and deployment of dashboards and analytics user interfaces supporting a variety of use cases and internal and external users

• Represent analytical stakeholders as we identify, prioritize, and integrate additional RWD assets

• Own the implementation of end-to-end data quality metrics to ensure that data pipelines are operational and data is being processed as expected

• Function as a mentor for junior team members, driving team upleveling and adoption of best practices in data science and adoption of the latest methodologies

• Contribute strategic input into the data asset roadmap, helping to align the needs of the analytics team with the broader data asset development

• Work collaboratively with broader IT organization to ensure that infrastructure and tooling meets the needs of the RWD analytics team

• Push recognition of Labcorp as an industry leader of both creation and utilization of RWD via publication and/or conference presentations

Knowledge, Skills & Abilities:

Demonstrated competency in all the following areas is desired, but not required. The ability to think logically, be self-directed, learn technical and subject matter related materials quickly, and communicate effectively are all highly desired.

• Substantial understanding of oncology and cancer biology

• Track record working with messy RWD sources

• Prior experience working with molecular diagnostics data, including NGS and histopathology reports

• Expert level proficiency in Python, SQL, and database navigation/management

• Significant, hands-on working experience with relational or graph databases, Databricks or Jupyter notebooks, and/or HANA

• Previous experience designing, sourcing data, and publishing dashboards using Tableau, Power BI, Plotly, Jupyter, etc

• Exposure to LIMS and/or EMR data representing the oncology patient journey

• Extensive use of cloud-based (AWS, Azure, GCloud, etc) and on prem computing infrastructures

• Awareness of the use of Large Language Models (LLMs) and their application to data processing and analytics workflows

• Familiarity with HIPAA, GDPR, and other data privacy regulations and of regulatory considerations when developing software or delivering data in regulated spaces

• Experience interacting with HEOR/RWE/Med Affairs stakeholders at pharma/life sciences companies

• Intimate knowledge of the use of JIRA, Confluence, gantt charts, and version control (git) and best practices therein

• Excellent communication skills, capable of explaining complex topics to non-experts and pitching pragmatic solutions to diverse audiences

• Ability to interact and work well with members of other functional groups in project teams and a strong sense of project ownership

Requirements:

• Requires an advanced degree (MS/MD/MPH/PhD) in a STEM field with 5+ years of relevant experience

• Demonstrated competence in data visualization, statistics, software engineering, product development, data modeling/querying, and/or data integration/harmonization

• Must be able to provide evidence of relevant expertise in the form of presentations, software, technical publications, and/or knowledge of applications

Application window open until : 9/30/2024

Pay Range: $160-180k

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 (https://careers.labcorp.com/global/en/us-rewards-and-wellness) .

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

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