Labcorp is seeking a US remote based Bioinformatics Specialist II to join it's team to support our Invitae Genetics lab. Work Schedule: Tuesday-Saturday, 8am-5pm (candidate local time zone) Job Responsibilities: - Ensure and maintain the delivery of accurate clinical reports by reviewing batch and sample level data for patient samples - Create tools and workflows to ensure the accurate processing and troubleshooting of sample data and clinical systems - Next generation sequencing (NGS) performance metric definition, analysis, and monitoring - Assess and troubleshoot the data systems that orchestrate the lab and bioinformatics processes - Track and improve measures of operational excellence (e.g. order turnaround time) - Address production bottlenecks, investigate their causes, and facilitate solutions - Serve as a subject matter expert representing the team in incident responses, process improvements, and product development - Execute SOP development and improvement - Develop software scripts and queries for analysis and automation - Monitor delayed samples and support their resolution - Must be able to work a flexible schedule, including being able to commit to periodic weekend support Minimum Qualifications: - High School diploma or equivalent with 9 years or more of experience working in a molecular biology environment (such as lab work, automation, or data analysis) OR Bachelors degree with 5 years or more of experience working in a molecular biology environment (such as lab work, automation, or data analysis) OR Masters degree with 3 years or more of experience working in a molecular biology environment (such as lab work, automation, or data analysis) OR Ph.D. with 1 year or more of experience working in a molecular biology environment (such as lab work, automation, or data analysis) - 1 year or more experience working in a high throughput manufacturing or lab processing environment - 1 year or more experience with troubleshooting or process improvement for lab or software pipelines ​ Preferred Qualifications: - 1 year or more of hands-on Next Generation Sequencing (NGS) wet lab experience - 1 year or more experience with bash scripting Additional Job Standards: - Strong process analysis, design, and improvement experience - Working knowledge of molecular genetics and experience with next generation sequencing (NGS) data, in a production setting - Strong experience manipulating data and troubleshooting applications in UNIX-based environments - Strong experience writing scripts to analyze data (e.g. Python, R) and well versed in software version control methods (e.g. Git) - Strong database querying experience (e.g. PostgreSQL) - Superior oral and written communication skills and the ability to clearly communicate technical findings to non-technical teammates - Familiarity with LIMS best practices and working in a high throughput lab environment - Excellent ability to work with people across different teams and specializations Application Window Closes: 3/27/26 **Salary Range: $90,000 - $110,000 / 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. 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. Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees are only eligible to participate in the 401(k) Plan. Employees who are regularly scheduled to work a 7 on/7 off schedule are eligible to receive all the foregoing benefits except PTO or FTO. 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. 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. For more information about how we collect and store your personal data, please see our Privacy Statement.

• Craft clear, actionable narratives using data • Proactively surface growth opportunities, user behavior shifts, or product mismatches across SEA • Design and build data products from scratch that bring visibility to SEA metrics • Define how we track success across the region by setting clear, relevant targets • Partner with Local, Regional, and Central Teams • Work closely with product teams to help design and measure new feature performance

Role Description We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions. - Identify valuable data sources and automate collection processes - Undertake to preprocess of structured and unstructured data - Analyze large amounts of information to discover trends and patterns - Build predictive models and machine-learning algorithms - Combine models through ensemble modelling - Present information using data visualization techniques - Propose solutions and strategies to business challenges - Collaborate with engineering and product development teams Qualifications - Proven experience as a Data Scientist or Data Analyst - Experience in data mining - Understanding of machine-learning and operations research - Knowledge of R, SQL and Python - Analytical mind and business acumen - Strong math skills (e.g. statistics, algebra) - Problem-solving aptitude - Excellent communication and presentation skills - BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred Company Description

• Architect and implement generative AI and Agentic solutions using LLMs, diffusion models, and other cutting-edge techniques for text, image, and multimodal generation. • Develop custom fine-tuning and prompt engineering strategies for foundation models to meet domain-specific needs. • Explore innovative applications of generative AI in areas such as conversational agents, automated content creation, and citizen engagement platforms. • Build scalable pipelines for model training, evaluation, and deployment on cloud and edge environments. • Collaborate with product and engineering teams to embed generative AI capabilities into enterprise platforms. • Conduct research and experimentation with emerging architectures (e.g., transformers, diffusion models, VAEs, GANs) to stay ahead of industry trends. • Establish best practices for responsible AI, including bias mitigation, explainability, and ethical use of generative models. • Communicate complex AI concepts to executives and non-technical stakeholders in a clear, actionable manner. • Mentor junior data scientists and contribute to frameworks, tools, and reusable components for generative AI development.