Senior Software Engineer, Clinical CMS (Remote)

Senior Software Engineer, Clinical CMS - (Remote) Labcorp Genetics (formerly Invitae) is dedicated to bringing comprehensive genetic information into mainstream medicine to improve healthcare for billions of people. Our team is driven to make a difference for the patients we serve. We are leading the transformation of the genetics industry by making clinical-grade genetic information affordable and accessible to guide health decisions across all stages of life. The mission for the Clinical CMS team is to build tools and provide services that help our scientists interact with, manage, and consume knowledge from scientific literature to support accurate and timely genetic results. We address horizontal requirements like monitoring, alerting, security, and scalability at the platform level, which allows the interpretation platform teams to focus on delivering new tests to our customers quickly. The genetic testing space is moving and expanding quickly. In support of our mission, our services need to be reliable, scalable, and easy to build. We are looking for an engineering leader who can guide us through this transformation. Your experience, passion, and leadership skills will be instrumental in shaping the continued success of Labcorp Genetics. Responsibilities • Leverage scientific domain and technical knowledge to support genetic scientists with identifying most relevant information, published knowledge as well as decision-making in R&D projects and deliver customer specific search & analysis solutions. • Provide unique scientific insights and expertise by establishing, streamlining, and automating a knowledge extraction pipeline for collecting, extracting, curating, and visualizing knowledge from scientific publications including statistical context. • Collaborate with internal data scientists, variant scientists and software developers to design and implement Biomed solutions to meet well-defined stakeholder requirements. • Monitor continuously newest technology trends relevant for literature analysis and knowledge discovery and establish an external presence through conferences and publications as a SME in analytical text-mining and data extraction. ​ Requirements • Bachelor’s degree with 10 + years of experience, or Master’s degree with 8 years of experience, or Ph.D. with 6 years of experience in preferred degrees include Bioinformatics/Computational Biology, or life sciences. • Solid programming and informatics/data science/computer science background: Proficiency in Python (intermediate level or higher) required. Ability to understand and modify existing code as well as develop new scripts and set up new data processing workflows. • Experience with relational databases and web development frameworks is essential • Solid biomedical knowledge and ability to translate complex scientific questions from research scientists into information solutions preferred. • Experience with biomedical information resources (e.g. PubMed), literature and/or patent research, information analysis and data normalization is needed. Experience in Spark, text mining, natural language processing, semantic enrichment, ontologies, data mining or machine learning/AI is a plus. • Strong analytical skills to process, analyze, visualize, and present results. Knowledge of technologies for data analysis and visualization of complex data (e.g. Rest APIs, XML, JSON, KNIME, or Spotfire) as well as knowledge of public domain standard biomedical terminologies (e.g. MeSH, NCIt, HGNC) is desirable. • Systematic problem-solving, quick learner and superior attention to detail in developing tailored solutions, high degree of reliability and integrity. • Demonstrates an interest in working collaboratively, cross-functionally, and in inter-disciplinary teams with an ability to effectively communicate, both verbally and in writing to scientists and non-scientists. • Well-organized and balances taking direction from others (sponsors, partners, clients) with taking initiative to manage multiple projects and learning responsibilities. • Innate scientific curiosity, technical creativity, and innovative thinking, motivated to break new ground in the field of information/literature analysis and knowledge discover ​ This position is not eligible for visa sponsorship. Application window closes: 12/17/2025 Pay Range: Pay Range: $145,000.00 - $185,000.00 a year 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. The position is also eligible for an annual bonus under the Labcorp Bonus Plan. Bonuses are payable based on corporate and/or business segment performance and are subject to individual performance modifiers. Compensation may also include discretionary short- and long-term incentive packages. Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Casual, PRN & Part Time employees regularly scheduled to work less than 20 hours are eligible to participate in the 401(k) Plan only. For more detailed information, please click here. Labcorp is proud to be an Equal Opportunity Employer: Labcorp strives for inclusion and belonging 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 and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), 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. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law. 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