Bioinformatics Scientist I - Clinical Labs and R&D Group
To see similar active jobs please follow this link: Remote Healthcare jobs
Labcorp 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.
We have an excellent opportunity for a motivated and enthusiast Bioinformatics Scientist I to join our growing team!
This is a remote US based position.
(This position does not offer employment visa sponsorship.)
Position Summary
Apply advanced knowledge and skills in bioinformatics, computational biology, and data analysis to support both clinical labs and R&D groups. You will collaborate closely with our research scientists and data analysts, contributing to high-impact projects that involve complex data interpretation and algorithm development.
Key Responsibilities:
Advanced Data Analysis: Perform sophisticated analysis of genomic, transcriptomic, or proteomic datasets using state-of-the-art bioinformatics tools and pipelines.
Algorithm Development and Optimization: Develop, refine, and implement algorithms for data processing, including sequence alignment, variant calling, gene expression analysis, and network biology.
Software Development: Contribute to the development and enhancement of bioinformatics software tools and pipelines, ensuring they meet the research needs of the team.
Collaborative Research: Work collaboratively with cross-functional teams, providing bioinformatics expertise to support ongoing research projects and studies.
Data Interpretation and Reporting: Analyze and interpret complex biological data, preparing detailed reports and presentations to communicate findings to both technical and non-technical stakeholders.
Literature Review and Research: Stay abreast of the latest bioinformatics methodologies and advancements, integrating new approaches into ongoing projects.
Mentorship and Guidance: Provide guidance to junior team members or interns, sharing your expertise and contributing to a collaborative learning environment.
Minimum Qualifications
Education: Master’s degree in Bioinformatics, Computational Biology, Genetics, Computer Science, or a related field.
Technical Expertise: Strong proficiency in programming languages commonly used in bioinformatics, such as Python, R, Perl, or Java. Experience with high-throughput sequencing data (e.g., RNA-Seq, DNA-Seq) and familiarity with bioinformatics tools like BLAST, GATK, Bowtie, and others.
Analytical Skills: Demonstrated ability to analyze large, complex datasets and derive meaningful insights.
Experience: Previous research experience in bioinformatics, computational biology, or a related field.
Preferred Qualifications
Ph.D. in Bioinformatics, Computational Biology, Genetics, Computer Science, or a related field.
Experience with machine learning or AI applications in biology.
Additional Job Standards
Communication Skills: Excellent written and verbal communication skills. Ability to convey complex technical information to both scientific and non-scientific audiences.
Collaboration: Strong interpersonal skills with the ability to work effectively in a multidisciplinary team environment.
Attention to Detail: Meticulous attention to detail with strong organizational and documentation skills
Application window open through: 02/21/2026
Pay Range: $90,000 - $110,000 annually (USD)
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. Casual, PRN & Part Time employees regularly scheduled to work less than 20 hours are eligible to participate in the 401(k) Plan only. 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.
Why People choose to work at Labcorp: At Labcorp, it is our people that make us great – it is what our clients, our partners and, most importantly, what our employees say. Here, you will have the opportunity to collaborate with extraordinary people with diverse viewpoints. You will discover your own outstanding potential as we build an even stronger organization with industry leaders from early development to the clinic and beyond. We help our clients develop medicines that improve health and improve lives of their family and friends.
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.
About the job
Bioinformatics Scientist I - Clinical Labs and R&D Group
To see similar active jobs please follow this link: Remote Healthcare jobs
Labcorp 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.
We have an excellent opportunity for a motivated and enthusiast Bioinformatics Scientist I to join our growing team!
This is a remote US based position.
(This position does not offer employment visa sponsorship.)
Position Summary
Apply advanced knowledge and skills in bioinformatics, computational biology, and data analysis to support both clinical labs and R&D groups. You will collaborate closely with our research scientists and data analysts, contributing to high-impact projects that involve complex data interpretation and algorithm development.
Key Responsibilities:
Advanced Data Analysis: Perform sophisticated analysis of genomic, transcriptomic, or proteomic datasets using state-of-the-art bioinformatics tools and pipelines.
Algorithm Development and Optimization: Develop, refine, and implement algorithms for data processing, including sequence alignment, variant calling, gene expression analysis, and network biology.
Software Development: Contribute to the development and enhancement of bioinformatics software tools and pipelines, ensuring they meet the research needs of the team.
Collaborative Research: Work collaboratively with cross-functional teams, providing bioinformatics expertise to support ongoing research projects and studies.
Data Interpretation and Reporting: Analyze and interpret complex biological data, preparing detailed reports and presentations to communicate findings to both technical and non-technical stakeholders.
Literature Review and Research: Stay abreast of the latest bioinformatics methodologies and advancements, integrating new approaches into ongoing projects.
Mentorship and Guidance: Provide guidance to junior team members or interns, sharing your expertise and contributing to a collaborative learning environment.
Minimum Qualifications
Education: Master’s degree in Bioinformatics, Computational Biology, Genetics, Computer Science, or a related field.
Technical Expertise: Strong proficiency in programming languages commonly used in bioinformatics, such as Python, R, Perl, or Java. Experience with high-throughput sequencing data (e.g., RNA-Seq, DNA-Seq) and familiarity with bioinformatics tools like BLAST, GATK, Bowtie, and others.
Analytical Skills: Demonstrated ability to analyze large, complex datasets and derive meaningful insights.
Experience: Previous research experience in bioinformatics, computational biology, or a related field.
Preferred Qualifications
Ph.D. in Bioinformatics, Computational Biology, Genetics, Computer Science, or a related field.
Experience with machine learning or AI applications in biology.
Additional Job Standards
Communication Skills: Excellent written and verbal communication skills. Ability to convey complex technical information to both scientific and non-scientific audiences.
Collaboration: Strong interpersonal skills with the ability to work effectively in a multidisciplinary team environment.
Attention to Detail: Meticulous attention to detail with strong organizational and documentation skills
Application window open through: 02/21/2026
Pay Range: $90,000 - $110,000 annually (USD)
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. Casual, PRN & Part Time employees regularly scheduled to work less than 20 hours are eligible to participate in the 401(k) Plan only. 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.
Why People choose to work at Labcorp: At Labcorp, it is our people that make us great – it is what our clients, our partners and, most importantly, what our employees say. Here, you will have the opportunity to collaborate with extraordinary people with diverse viewpoints. You will discover your own outstanding potential as we build an even stronger organization with industry leaders from early development to the clinic and beyond. We help our clients develop medicines that improve health and improve lives of their family and friends.
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.