Senior Clinical Bioinformatics Data Scientist at Labcorp Sacramento, CA

Itlearn360; Sacramento (CA); Remote; USD 150,000 - 200,000; Full time

Job summary

A leading company in the genetics field is seeking a Senior Clinical Bioinformatics Data Scientist. This remote position requires expertise in data engineering and analytics, aiming to enhance healthcare diagnostics through data-driven insights. Ideal candidates will possess strong programming skills and experience in managing bioinformatics projects.

Benefits

Medical insurance

Dental insurance

Vision insurance

Life insurance

401(k)

Paid time off

Tuition reimbursement

Employee Stock Purchase Plan

Qualifications

• Minimum of a master's degree with 8 years of relevant experience.
• Experience with cloud-based BI tools and data privacy/security regulations.
• Proven ability to collaborate with multi-disciplinary teams.

Responsibilities

• Lead development of data processing infrastructure and business intelligence platforms.
• Mentor and collaborate with scientists, engineers, and stakeholders.
• Ensure data privacy and compliance standards are maintained.

Skills

Data engineering

Analytics

Statistical process control

Predictive analytics

Machine learning

Python

Java

Education

Master's degree in relevant field

Ph.D. in Data Science, Bioinformatics, Engineering, or related field

Tools

AWS

Looker

Tableau

Postgres

Datomic

Snowflake

Redshift

Job description

Senior Clinical Bioinformatics Data Scientist Job at Labcorp, Sacramento, CA

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• Labcorp

Job Description

Labcorp is dedicated to bringing comprehensive genetic information into mainstream medicine to improve healthcare for billions of people. Our Invitae team, now part of Labcorp, 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.

We have an excellent career opportunity for a Senior Clinical Bioinformatics Data Scientist to join our growing team. This is a remote US-based position. If you are an expert in data engineering, analytics, and providing insights to drive business decisions, this is an ideal position for you!

Position Summary

The primary responsibility of this role is to lead the development of data processing pipelines and business intelligence platforms for comprehensive performance monitoring and to apply statistical methods to ultimately drive exceptional quality and turn-around-time in healthcare diagnostics. This position is not eligible for visa sponsorship.

Qualifications

• Extensive experience with programming (e.g., Python, Java), version control, databases (e.g., Postgres, Datomic, Snowflake, Redshift), APIs, and bioinformatics software.
• Experience developing within cloud-based business intelligence tools (e.g., Looker, Tableau) and cloud computing infrastructure (e.g., AWS).
• Proficiency in data science techniques including statistical process control, anomaly detection, predictive analytics, and machine learning on laboratory and clinical data.
• Experience with production lab environments, NGS genomics data, and bioinformatics analytical pipelines.
• Strong understanding of data privacy, security, and ethical issues in a regulated industry.
• Proven ability to collaborate with cross-functional teams, including scientists, clinicians, engineers, and business analysts.
• Excellent communication skills to clearly articulate technical problems, methodologies, and findings.

Essential Duties

• Design and execute the technical roadmap for data processing infrastructure, aligning with other data engineering teams.
• Develop business intelligence platforms for performance monitoring.
• Lead early detection systems for trend shifts and anomalies, diagnosing their causes.
• Lead high-impact data science projects in genomics, translating business needs into technical solutions.
• Ensure data privacy, security, and compliance standards are maintained.
• Provide governance and best practices for enterprise data across teams.
• Mentor scientists and engineers, fostering skill growth and knowledge sharing.
• Collaborate with stakeholders to drive impactful initiatives.

Education

• Minimum of a master's degree with 8 years of relevant experience.
• Ph.D. in Data Science, Bioinformatics, Engineering, or related field preferred.

Application Window

Open through: 05/27/2025

Pay Range

$150,000 - $200,000 annually (USD). Compensation includes potential bonuses and incentive packages based on performance.

Benefits

Includes Medical, Dental, Vision, Life, STD/LTD, 401(k), PTO/FTO, Tuition Reimbursement, and Employee Stock Purchase Plan.

Why Work at Labcorp

Join a diverse and collaborative environment focused on improving health outcomes and developing medicines. Labcorp values inclusion and merit-based employment decisions.

Equal Opportunity Employer

Labcorp is committed to diversity and inclusion, providing equal employment opportunities regardless of protected characteristics. Accommodations are available for applicants with disabilities.