Bioinformatics Jobs

Bring more to life. Are you ready to accelerate your potential and make a real difference within life sciences, diagnostics and biotechnology? At Integrated DNA Technologies (IDT), one of Danaher’s (https://danaher.com/our-businesses) 15+ operating companies, our work saves lives—and we’re all united by a shared commitment to innovate for tangible impact. You’ll thrive in a culture of belonging where you and your unique viewpoint matter. And by harnessing Danaher’s system of continuous improvement, you help turn ideas into impact – innovating at the speed of life. Our team at Integrated DNA Technologies (IDT), is united by a commitment to collaboration and scientific excellence, building on a strong foundation of innovation, expertise, and reliability. Guided by our vision to help researchers rapidly move from the lab to life-changing advances, we work closely with global partners to accelerate progress and genomics breakthroughs across fields like cancer, infectious disease, rare genetic disorders, and more. At IDT, you’ll be part of a culture rooted in continuous learning and improvement—where your growth fuels our mission to accelerate the pace of genomics and helps shape a healthier, brighter future for all. Learn about the Danaher Business System (https://www.danaher.com/how-we-work/danaher-business-system) which makes everything possible. The Bioinformatics Scientist – Field Applications is responsible for the bioinformatics support for IDT’s secondary analysis software Archer Analysis which is utilized by Next Generation Sequencing product lines FusionPlex, VariantPlex, LiquidPlex and Immunoverse. The focus of this position is to enable our customer’s success and satisfaction by providing dedicated onsite and remote assistance on the data analysis related inquiries. This position’s main territory will be North America, with primary responsibility within the United States. This position reports to the Manager, Bioinformatics Science – Field Applications AMR/APAC and is part of the Global Scientific Applications Support Organization working remotely to cover Mid-West United States. In this role, you will have the opportunity to: Coordinate and conduct software trainings and data reviews using Archer Analysis and associated data at customer sites and/or remotely. Provide remote/onsite customer educations on software pipelines and features. Investigate and resolve customer inquiries and troubleshooting cases via email and calls. Discuss and resolve challenging cases collaboratively with other members of the Customer Success team. Engage in pre-sales conversations when technical expertise is required. The essential requirements of the job include: Postgraduate degree in Genomics or Bioinformatics (or a related discipline). An equivalent combination of training and experience (minimum 3-5 years) will also be considered  Hands on involvement analyzing NGS data through academic or professional experience Previous experience in customer support/field applications or another customer facing role with demonstrated internal and external relationship-management skills in the genomics industry Travel, Motor Vehicle Record & Physical/Environment Requirements: Ability to travel at least 50% within defined territory and occasionally supporting other territories as needed Must have a valid driver’s license with an acceptable driving record Ability to lift, move or carry equipment up to 20lb, any other physical requirements It would be a plus if you also possess previous experience in: Ideal candidate will have extensive experience with NGS clinical oncology solutions applications and/or experience within the Life Sciences industry Experience working with CRM systems, Salesforce preferred IDT, a Danaher operating company, offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it’s a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info (https://leplb1040.upoint.alight.com/ah-angular-afirst-web/#/web/danaher/cp/preauth-home) . At IDT we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible, remote working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a remote work arrangement in which you can work remotely from your home. Additional information about this remote work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for IDT can provide. The annual salary range for this role is $105,000-$120,000. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future. This job is also eligible for bonus/incentive pay. We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law. #LI-JP1 #Remote Join our winning team today. Together, we’ll accelerate the real-life impact of tomorrow’s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life. For more information, visit www.danaher.com . Danaher Corporation and all Danaher Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. The U.S. EEO posters are available here (http://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) . We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact:1-202-419-7762 or applyassistance@danaher.com .

Join the Pack! A community with nearly 8,000 faculty and staff, and 30,000 students. NC State is one of the largest employers in North Carolina, offering a large range of career opportunities. Visit us at https://jobs.hr.ncsu.edu/. Location: Raleigh, NC Essential Job Duties: The Research Scholar serves as a highly visible leader in the implementation of applied genomics and bioinformatics to support genomics-based selection decisions in breeding programs across the United States. This position plays a critical role in bridging research innovation with applied breeding outcomes by designing and deploying bioinformatics pipelines, coordinating multi-institutional breeding efforts, and enabling the integration of genomics into decision-making processes. The work directly impacts national breeding programs and contributes to improving crop performance, efficiency, and data-driven selection across multiple commodities. Applied Genomics & Bioinformatics Leadership Design, develop, and implement applied genomics strategies to support genomics-based selection decisions in public breeding programs.Develop, integrate, and maintain bioinformatics pipelines and analytical tools for efficient and accurate genotyping across diverse crop systems.Perform large-scale genomic and phenotypic data analyses spanning multiple field programs and breeding populations.Evaluate historical and current breeding program practices to establish standardized, scalable data management and analysis protocols.Breeding Program Coordination & CollaborationCoordinate applied genomics efforts across multiple university and USDA-ARS breeding programs, including cotton and peanut.Collaborate with breeding teams to develop genomic resources and genotyping platforms aligned with program-specific breeding objectives.Serve as a liaison among breeders, researchers, and partner institutions to ensure streamlined collaboration and consistent implementation of genomics tools.Manage logistical procedures related to genomics implementation, data flow, and coordination across breeding programs.Training, Communication & Stakeholder EngagementProvide leadership, guidance, and training to breeders, research staff, and collaborators on applied genomics tools, data interpretation, and best practices.Communicate genomics strategies, results, and impacts effectively to growers, breeders, stakeholders, and program leaders.Support knowledge transfer and adoption of genomics-based breeding approaches through presentations, workshops, and collaborative discussions.If you are a strategic scientific leader who thrives at the intersection of genomics, data science, and applied breeding and you are motivated by translating complex research into practical tools that strengthen national breeding programs we encourage you to apply and help drive the future of data-informed crop improvement. Minimum Experience/Education: Ph.D. genetics, bioinformatics, computational biology or relevant terminal degree), or relevant Master's degree with at least 2 years of formal post-degree professional work experience, or in rare instances, an individual with a comparable professional experience but less than a master's degree, plus 8 years of exceptional relevant professional experience, will be considered. All degrees must be from appropriately accredited institutions. Required Qualifications: Strong knowledge of informatics tools such as Linux, linkage mapping software, Python, R-statistical analysis software, and SQL or other databases.Demonstrated leadership, mentorship, and interdisciplinary group collaboration skills with scientists from diverse disciplines and backgrounds, including good interpersonal and clear English communication skills, both orally and in writing of reports and publications, effective work habits, and the ability to work as part of a team and in a self-directed manner.Experience with the BreedBase database structure and experience with using it in an applied breeding program. Preferred Qualifications: Strong knowledge of operations in breeding programs with at least 1 year post-PhD experience in an applied informatics program, proficiency in high-throughput bioinformatics analyses integrating phenotypic and genomic data, and demonstrated associated publications.Experience in applied genomics in cotton and/or peanut. Required License or Certification: n/a AA/EEO Statement: NC State University is an equal opportunity employer. All qualified applicants will receive equal opportunities for employment without regard to age, color, disability, gender identity, genetic information, national origin, race, religion, sex (including pregnancy), sexual orientation, and veteran status. The University encourages all qualified applicants, including protected veterans and individuals with disabilities, to apply. Individuals with disabilities requiring disability-related accommodations in the application and interview process are welcome to contact 919-513-0574 to speak with a representative of the Office of Equal Opportunity. If you have general questions about the application process, you may contact Human Resources at (919) 515-2135 or workatncstate@ncsu.edu. Final candidates are subject to criminal & sex offender background checks. Some vacancies also require credit or motor vehicle checks. Degree(s) must be obtained prior to start date in order to meet qualifications and receive credit. NC State University participates in E-Verify. Federal law requires all employers to verify the identity and employment eligibility of all persons hired to work in the United States.

Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position, please review this tip sheet. CORE JOB SUMMARY The Senior Bioinformatics Analyst works with research staff to extend capabilities in bioinformatics and improve understanding of genetic variation in human health and disease. The Senior Bioinformatics Analyst also assumes responsibility for the development and maintenance of novel bioinformatics methods. CORE JOB FUNCTIONS 1. Develops and maintains next generation data analysis pipelines. 2. Assists in analysis pipeline and algorithms development and validation. 3. Extracts features of interest from data relating to specific biological questions. 4. Contributes to the development and maintenance of genomic and clinical databases. 5. Performs statistical and integrative data analysis on genomics and clinical data. 6. Supervises team members and other data analysts. 7. Establishes standard operating procedures, documentation, and scripts to generate custom reports. 8. Progresses material for bioinformatics tutorials and training courses. 9. Tests the characterization and integration of diverse third-party bioinformatics algorithms. 10. Adheres to University and unit-level policies and procedures and safeguards University assets. This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. CORE QUALIFICATIONS Education: Bachelor’s degree in relevant field required Experience: Minimum 3 years of relevant experience required Certification and Licensing: Refer to department description for applicable certification requirements Knowledge, Skills and Abilities: Learning Agility: Ability to learn new procedures, technologies, and protocols, and adapt to changing priorities and work demands.Teamwork: Ability to work collaboratively with others and contribute to a team environment.Technical Proficiency: Skilled in using office software, technology, and relevant computer applications.Communication: Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders. This is a core job profile description and is not reflective of all duties that may be assigned to a specific position in each individual department. The above statements are intended to describe the general nature and primary responsibilities of this core job profile. Specific duties and tasks may vary based upon departmental needs. Other duties may be assigned to the above consistent with the knowledge, skills, and abilities required for the job. The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more. UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We're the challenge you've been looking for. The University of Miami is an Equal Opportunity Employer. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Job Status: Full time Employee Type: Staff

Job Description We are seeking a Full Stack Software Developer to join our Bioinformatics team, focused on advancing patient care through innovative software solutions. The successful candidate will design, implement, and maintain applications handling genetic data. Collaborating closely with the Data Science and Bioinformatics teams, the developer will work in an agile environment, contributing to the modernization of our systems while enhancing their own technical skills. This professional will work in a hybrid capacity involving at least 3 days a week onsite in one of the following office locations: Secaucus, NJ Tampa, FL Schaumburg, IL Lenexa, KS Marlborough, MA Chantilly, VA Addison, TX Responsibilities: Feature Development: • Design, implement, and maintain software application. • Ensure user requirements and performance standards are met. Cloud Deployment: • Deploy and manage applications for scalability and reliability. Agile Collaboration: • Participate in agile workflows, including sprint planning, daily stand-ups, and retrospectives. • Collaborate with cross-functional teams to ensure seamless integration and delivery. Quality Assurance: • Write unit, integration, and end-to-end tests to ensure code quality. • Conduct peer code reviews to uphold development standards. Qualifications: Required Work Experience: Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience. 1+ Years of Relevant Experience Proficiency in modern software development practices and tools (e.g., CI/CD pipelines, version control, testing frameworks). Experience with PHP, Laravel, MySQL Familiarity with agile methodologies. Test-driven development mindset and experience writing tests. Excellent communication skills to engage with both technical and non-technical stakeholders Preferred Work Experience: Knowledge of the health industry or interest in genetics and bioinformatics. Experience implementing solutions in the cloud. AWS is preferred. Experience with designing and working with application programming interfaces (e.g. JSON based RESTful APIs) Physical and Mental Requirements: This role is required to collaborate with teams in US and EU, and at least 2 hour overlap during their business hours is expected Knowledge: • Proficiency in full stack development, including front-end, back-end, and databases. • Strong problem-solving abilities and a commitment to continuous learning. Skills: • Excellent collaboration and communication skills. • Adaptability to new tools and technologies 46860 Quest Diagnostics honors our service members and encourages veterans to apply. While we appreciate and value our staffing partners, we do not accept unsolicited resumes from agencies. Quest will not be responsible for paying agency fees for any individual as to whom an agency has sent an unsolicited resume. Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.

Why Mayo Clinic Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. Benefits Highlights Medical: Multiple plan options. Dental: Delta Dental or reimbursement account for flexible coverage. Vision: Affordable plan with national network. Pre-Tax Savings: HSA and FSAs for eligible expenses. Retirement: Competitive retirement package to secure your future. Responsibilities The Research Scientist must play a key supporting role in the sponsoring research program. Will significantly contribute to grant writing and serve as co-principal investigator (if necessary) on extramural grant applications submitted by the principal investigator. May apply as the co-investigator or co-principal investigator with other investigators or principal investigator for an extramural grant or contracts if done in collaboration with his/her Mayo sponsor. The Research Scientist is expected to serve as the principal investigator's internal and external representative and resource contact person for the research program and may represent the principal investigator at national or international meetings if necessary. Brings a unique skill, technique or knowledge to the program and will significantly participate in personnel and resource management on behalf of the principal investigator. Will independently manage assigned projects and the projects of other program personnel. Will provide input for the direction and design of other's projects and direct teaching activities within the investigator's program. Qualifications A Research Scientist candidate must have a doctoral level degree and a minimum of 6 years of postdoctoral research training at Mayo or elsewhere. Must hold academic rank (i.e. Instructor, Assistant Professor) at Mayo at the time of accepting the Research Scientist position or achieve it immediately thereafter. The candidate must bring a unique skill, technique or knowledge to the sponsoring program as documented by professional accomplishments and publication record and will have made a career decision to pursue regular employment at Mayo in support of an established research staff program. Preferred qualifications and skills: Languages and Scripting (such as R and Python); Data Science and AI Frameworks; Genomics and Multi-Omics Analysis (such as GWAS, scRNA-seq, scTCR-seq, ATAC-Seq,); Cloud and HPC Tools. Exemption Status Exempt Compensation Detail $99,070.40 - $148,616.00 / year Education, experience and tenure may be considered along with internal equity when job offers are extended. Benefits Eligible Yes Schedule Full Time Hours/Pay Period 80 Schedule Details Monday - Friday (Normal Business Hours) Weekend Schedule Some weekends possible. International Assignment No Site Description Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. Equal Opportunity All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the 'EOE is the Law'. Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization. Recruiter Matt Burdick

Required Qualifications B.Sc. in computer science, bioinformatics, computational biology, or a related field Familiarity with genomic data and common methods of NGS data analysis Experience working with R and unix Full professional proficiency in English A strong and customer-success oriented work ethic Advantageous qualifications: B.S Bioinformatics or life science with 1-2 years of industry experience M.Sc. in a relevant field such as statistics, life science, or computational biology Experience working with tidyverse, ggplot2, Python, Git, and high-performance computing environments and AWS or other cloud environments Exposure to the analysis of large-scale microbiome data and the use of relevant open-source tools and/or statistical models Familiarity with the use of open-source bioinformatics software, including applications employing ontologies, pathways, networks, and/or phylogenetics at both the individual gene and genomic scales The ability to work well within a multidisciplinary team environment

The Department of Molecular Diagnostics at MD Anderson Cancer Center is at the forefront of precision oncology, leveraging advanced genomic technologies to deliver clinically actionable insights that directly impact patient care. The department supports a wide range of next-generation sequencing (NGS)-based assays and computational platforms that enable accurate diagnosis, prognostication, and treatment selection for cancer patients in a highly regulated clinical environment. As a Data Scientist (Bioinformatics Developer), you will develop, implement, and maintain clinical informatics applications and bioinformatics pipelines that support molecular diagnostic testing and genomic reporting. Working closely with molecular diagnostics scientists, bioinformaticians, pathologists, software engineers, and clinical stakeholders, you will translate complex biological and clinical questions into scalable, reproducible computational solutions. In this role, you will support and enhance enterprise-level platforms such as the OncoSeek genomics annotation and reporting engine, which has been used at MD Anderson for clinical NGS reporting for over a decade. You will also contribute to the development and ongoing maintenance of the MDLConductor laboratory informatics system (LIS), integrating laboratory workflows with hospital informatics systems and automating critical processes such as sample tracking, labeling, robotic storage, quantitation, and plate-based workflows. Your work will directly enable high-throughput, high-fidelity clinical laboratory operations. You will design and implement algorithms and statistical methods for interpreting genomic data, including variant detection, differential expression, pathway analysis, and other advanced analytics. This position requires deep expertise in bioinformatics theory and hands-on data analysis, along with the ability to apply these methods to real-world clinical datasets in compliance with laboratory and regulatory standards. The role includes developing and maintaining bioinformatics pipelines for a broad range of NGS applications, including whole genome, whole exome, whole transcriptome, targeted sequencing, single-cell sequencing, liquid biopsy analysis, and minimal residual disease detection. You will perform and optimize key analytical steps such as quality control, alignment, variant calling, annotation, and reporting, adapting pipelines to meet evolving clinical and research needs. You will also integrate existing bioinformatics tools and databases into custom workflows, evaluate emerging technologies, and incorporate new methods to improve efficiency, accuracy, and reproducibility. Maintaining thorough documentation, version control, and software development best practices is essential to ensure transparency and long-term sustainability of analytical pipelines. Collaboration is central to this role. You will actively participate in interdisciplinary project teams, contribute to scientific discussions, present work in meetings and seminars, and provide training and technical support to laboratory staff, precision oncology scientists, pathologists, and clinicians. Through these interactions, you will help drive innovation, support clinical decision-making, and expand the effective use of genomics and artificial intelligence in cancer care. MD Anderson offers a comprehensive total rewards package, including paid medical benefits, generous paid time off, retirement plans, and additional benefits, providing stability and long-term career growth within one of the world's leading cancer centers. **The ideal candidate will have NGS & C#/.NET experience** JOB SPECIFIC COMPETENCIES Development, Optimization, Deployment and Maintenance of Clinical Informatics Applications and Bioinformatics Pipelines Support functional development of the OncoSeek genomics annotation and reporting engine which has been used to generate genomic next-generation sequencing panel reports at MD Anderson since 2012. Support, develop and maintain MDLConductor laboratory informatics system(LIS) and applications for MDL. Specific efforts include but are not limited to, integrate MDL LIS with hospital informatics system, develop automated rack label and vial label printing with real-time Micronics tube mapping for stock tube management for all derivative sample types (e.g. DNA, RNA, cDNA), coordinate interfacing with existing robotic sample storage (ASR), quantitation devices (Synergy), and robotic fluid handlers for plate setups & core laboratory workflows. Design and implement algorithms and statistical methods for the interpretation of genomic data, including identification of genetic variants, differential expression analysis, and pathway analysis. This requires a deep understanding of both bioinformatics theory and practical applications to derive meaningful insights from complex genomic datasets. Collaborate with molecular diagnostics professionals to understand project requirements, propose solutions, and provide technical support for data analysis and interpretation. This involves actively engaging with project teams to translate biological questions into computational workflows and troubleshooting issues that arise during data analysis. Develop Bioinformatics pipelines for various next generation sequencing (NGS) applications such as whole transcriptome sequencing(WTS), whole genome sequencing (WGS), exome sequencing (WES), targeted sequencing, single-cell sequencing, liquid biopsy analysis, and minimal residual disease (MRD) detection. This includes adapting existing pipelines and developing new methodologies to address the specific requirements and challenges associated with each application. This also includes processing and analyzing NGS and other genomic data, including tasks such as quality control, alignment, variant calling, and annotation. Integrate existing bioinformatics tools and databases into custom workflows to address specific clinical application needs and improve analysis efficiency. This includes evaluating the suitability of available tools and databases for particular analyses and developing scripts or wrappers to automate data processing tasks and facilitate reproducibility. This involves staying up-to-date with the latest tools and methods in the field and integrating them into existing pipelines to ensure accurate and efficient analysis, and actively monitoring scientific literature, attending conferences, and participating in online forums and community discussions to identify emerging trends and technologies relevant to genomics research. Maintain documentation and version control for developed software and pipelines, ensuring reproducibility and transparency of analyses. This includes writing comprehensive documentation for code and pipelines, managing code repositories using version control systems such as Git, and adhering to best practices for software development and data management. Participate in team meetings, seminars, and training sessions to share knowledge and best practices in bioinformatics analysis. This includes presenting updates on ongoing projects, leading discussions on relevant topics in bioinformatics, and providing training to team members on new tools and methods. Provide support and training to other team members, including laboratory staff, precision oncology scientists, bioinformaticians, pathologists and clinical oncologists, on the use of bioinformatics tools and data analysis techniques. This involves offering guidance on experimental design, data preprocessing, and interpretation of results, as well as troubleshooting issues and answering technical questions to facilitate productive collaborations across disciplines. Required: • Bachelor's Degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field Preferred: • Master's Degree in Science, Engineering, or related field • PhD in Science, Engineering, or related field Work Experience Required: • 3 years of scientific software or industry development/analysis experience OR • 1 year of required experience with a Master's Degree OR • With a PhD, no experience required The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition. This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment. It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state, or local laws unless such distinction is required by law.http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html Additional Information Requisition ID: 178990 Employment Status: Full-Time Employee Status: Regular Work Week: Days Minimum Salary: US Dollar (USD) 106,500 Midpoint Salary: US Dollar (USD) 133,000 Maximum Salary : US Dollar (USD) 159,500 FLSA: exempt and not eligible for overtime pay Fund Type: Hard Work Location: Onsite Pivotal Position: Yes Referral Bonus Available?: Yes Relocation Assistance Available?: Yes #LI-Onsite

Mercor is hiring a Bioinformatics Researcher on behalf of a leading AI lab. In this role, you’ll **build reproducible pipelines for genomics and proteomics data**, applying machine learning and statistical methods to sequence, expression, or imaging datasets. You’ll surface meaningful biological signals that drive scientific discovery and AI-powered biological research. This position is ideal for candidates at the intersection of biology, data science, and machine learning. * * * ### **You’re a great fit if you:** - Have a background in **bioinformatics, computational biology, or related fields**. - Are proficient in **Python and R**, with libraries like **pandas, NumPy, SciPy, and scikit-learn**. - Have hands-on experience with **Biopython** and formats like **FASTA and VCF**. - Are skilled in building **reproducible pipelines** for large-scale biological data. - Understand **genomics, proteomics, and molecular biology datasets**. - Have experience with **statistical modeling and ML methods** for biological data. - Use **Jupyter** notebooks or similar tools for experimentation and collaboration. - Care about bridging **biology, computation, and AI research**. * * * ### **Primary Goal of This Role** To design and implement reproducible pipelines for genomics, proteomics, and imaging datasets, applying ML and statistics to uncover biological insights. * * * ### **What You’ll Do** - Build and maintain **pipelines** for genomics and proteomics datasets. - Apply **machine learning and statistical models** to biological sequence and expression data. - Use **Biopython and scikit-learn** to extract meaningful biological signals. - Work with **FASTA, VCF, and related data formats** in large-scale pipelines. - Collaborate with AI researchers and biologists to integrate bioinformatics into research. - Document workflows to ensure **reproducibility and transparency** in biological analysis. * * * ### **Why This Role Is Exciting** - You’ll drive discovery at the **intersection of AI and biology**. - You’ll apply **ML and statistical tools** to cutting-edge biological datasets. - You’ll help unlock insights in **genomics, proteomics, and imaging data**. - You’ll build the foundation for **AI-powered breakthroughs in life sciences**. * * * ### **Pay & Work Structure** - Weekly Bonus of **$500–$1000 USD** per 5 tasks.

Imagine being involved with innovation that changes the course of our industry daily! 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 Clinical Bioinformatics Scientist II to join our growing team! This is a remote US based position. Work schedule: Normal daytime business hours from Monday through Friday. No travel required. (This position does not offer employment visa sponsorship.) Position Summary The team as a whole is responsible for the evaluation of the truth of clinically reportable variants and often required to investigate unique genetic or genomic signals identified in production data. In addition to handling production data, the team is responsible for monitoring data quality metrics and troubleshooting the root cause of quality control failures related to both the mainline Next Generation Sequencing (NGS), Whole Genome Sequencing (WGS), and confirmatory assays. All the team’s work directly impacts patient results, making problem-solving both motivating and rewarding and making quality and data integrity the most important aspects of the role. Review and assess the veracity of specific genetic variants (SNVs and CNVs) in NGS or WGS data flagged for manual intervention. This process entails making decisions that will determine if a variant is reported to a patient or not. Review and assess the veracity of specific genetic variants (SNVs and CNVs) in NGS or WGS data that are flagged for manual intervention. Review results from confirmatory assays that corroborate or refute calls made in the primary assay. This can lead to contradictory results between assays where the scientist will need to make the final decision. Troubleshoot quality control anomalies generated by automated pipelines at the sample and/or batch level. Triage stuck samples, variants, and reports. Support other production duties like requests from other teams, production on-call shifts, and program development. Work collaboratively with other teams such as bioinformatics, automation, engineering, clinical genomics, laboratory scientists, laboratory directors, and research scientists in a cross-functional manner Minimum Qualifications: Bachelor's degree in a biological field (e.g., biology, microbiology, genetics, genomics, bioinformatics, biochemistry, etc.) and four years of relevant professional experience OR Master's Degree in a biological field (e.g., biology, microbiology, genomics, bioinformatics, biochemistry, etc.) and two years of relevant professional experience. Strong knowledge of genetics Experience with NGS data analysis in either an academic or industry environment Familiarity with IGV or other genome browsers Knowledge of common NGS alignment, variant calling, and visualization tools Familiarity with any of the following: Laboratory Information Management Systems (LIMS) Python, R, SQL, or other programming languages git, GitHub, or other version control systems Project management software such as Jira, Asana, Monday, etc. Preferred Familiarity and/or hands-on experience with NGS wet lab protocols, preferably in a production setting and academic knowledge may be sufficient Additional Job Standards Excellent written and verbal communication skills Able to work on a computer and look at a screen for long periods of time Application window open through: 02/20/2026 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.

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.