Bioinformatics Jobs

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 using the Career worklet, please review this tip sheet. The University of Miami/UHealth Department of SCCC has an exciting opportunity for a Full Time Bioinformatics Analyst (Cheminformatics) to work the UHealth Medical Campus in Miami, FL 33146. CORE JOB SUMMARY The Bioinformatics Analyst works with research staff to extend capabilities in bioinformatics and improve understanding of genetic variation in human health and disease. The Bioinformatics Analyst maintains and performs analysis with existing pipelines while assisting and benchmarking the development of novel methods. CORE JOB FUNCTIONS ● Runs and maintains existing next generation data analysis pipelines. ● Assists senior bioinformatics analysts in pipeline and algorithm development and validation. ● Extracts features of interest from data relating to specific biological questions. ● Contributes to the maintenance of genomic and clinical databases. ● Performs statistical and integrative data analysis on genomics and clinical data. ● Works along-side other team members and data analysts. ● Follows standard operating procedures, documentation, and scripts to generate reports. ● 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: PhD degree in relevant field Experience: Minimum 1 year of relevant experience Knowledge, Skills and Attitudes: ● Skill in collecting, organizing, and analyzing data. ● Ability to recognize, analyze, and solve a variety of problems. ● Ability to exercise sound judgment in making critical decisions. ● Ability to process and handle confidential information with discretion. ● Proficiency in computer software. Department Specific Functions & Qualifications The Sylvester Comprehensive Cancer Center & the Department of Molecular and Cellular Pharmacology are actively seeking a full-time Bioinformatics / Cheminformatics Analyst to work on the UHealth campus in Downtown Miami. At Sylvester, we are at the cutting edge of healthcare innovation, leveraging artificial intelligence and machine learning to transform drug discovery and development. Our mission is to accelerate the delivery of therapeutic solutions to patients through state-of-the-art technology and groundbreaking research. The Analyst will leverage expertise in computational chemistry, bioinformatics, and AI to process and analyze large-scale biomedical, small molecule bioactivity, structural biology, image, and clinicogenomic datasets, integrating them with the Sylvester Data Portal. The successful candidate will work within an interdisciplinary team of research scientists, data engineers, and full-stack developers, using state-of-the-art software development practices to enhance the university’s research activities. Primary Responsibilities: ● Process and analyze large-scale multi-omics and drug discovery datasets (WES, WGS, bulk/single-cell RNA-Seq, ATAC-Seq, Drug Screening, CRISPR Screening). ● Develop and maintain production-grade pipelines for processing and analysis of diverse biomedical datasets. ● Develop visualization and bioinformatic analysis tools for exploring diverse biomedical data. ● Integrate developed tools and pipelines with Sylvester’s internal end-user data analytics platform. ● Apply state-of-the-art AI, bioinformatics, and biostatistics approaches to cancer precision medicine. ● Write standard operating procedures and other relevant documentation. ● Develop and apply AI/ML models for structure-based and ligand-based drug design. ● Utilize computational tools to predict and optimize pharmacokinetic (PK) and pharmacodynamic (PD) properties of drug candidates. ● Design and implement algorithms to identify novel drug candidates and elucidate their mechanisms of action. ● Integrate and analyze large-scale biological, chemical, and clinical datasets to extract insights and inform drug discovery decisions. ● Collaborate with cross-functional teams to advance drug discovery projects. ● Analyze and interpret PK/PD data using advanced statistical and modeling software. ● Stay updated with advancements in computational chemistry, AI, and bioinformatics. ● Contribute to the development of new computational tools and methodologies. ● Present findings to both technical and non-technical stakeholders. ● Participate in scientific discussions and strategy meetings, providing AI/ML expertise. ● Author scientific papers, reports, and patents related to AI/ML in drug discovery. Preferred Requirements ● PhD or MSc degree in computational chemistry, computational biology, medicinal chemistry, pharmaceutical sciences, computational sciences, or a related field. ● Fluency in R or Python and Unix (bash). ● Experience with analyzing and interpreting different omics and/or drug discovery datasets (WES, WGS, bulk/single-cell RNA-Seq, ATAC-Seq, Drug Screening, CRISPR Screening). ● Experience with using common open-source bioinformatics/NGS workflows (BWA, STAR, Picard, GATK, etc.). ● Familiarity with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch), and developing and deploying machine learning models. ● Highly motivated, strong work ethic, and able to work independently and with a team. ● Excellent skills in communication, organization, and time management. Preferred Qualifications ● For Ph.D. holders: 0-3 years of relevant experience in computational chemistry, AI, and drug discovery. ● Deep expertise with chemical toolkits such as DeepChem, ChemAxon, OEChem, or RDKit. ● Familiarity with drug discovery databases (CTRP, GDSC, PRISM, CCLE, DepMap, LINCS) and publicly available clinicogenomic datasets (CPTAC, TCGA, AACR Project GENIE, etc.). ● Experience with Cloud Computing Environments (e.g., Azure). ● Familiarity with relational (e.g., PostgreSQL) and/or NoSQL databases (e.g., MongoDB). ● Familiarity with container technologies (e.g., Docker). ● Experience with Generative AI tools and techniques. ● Familiarity with High Performance Computing. ● Familiarity with version control (Git). #LI-YC1 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 - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information. Job Status: Full time Employee Type: Staff Pay Grade: A9

SHIFT: Day (United States of America) Bioinformatics Engineer I – Children’s Hospital of Philadelphia (Philadelphia, PA): Support computational environments focused on the management, transfer, formatting, and processing of complex data types associated with genomics and proteomics. Support the bioinformatics analytical groups and assist in the implementation of basic systems for data manipulation and analysis pipelines, applications, and bioinformatics-specific hardware configurations. Collaborate with bioinformatics group members to develop functioning pipelines upstream of customized analysis workflow, maintain data pipelines, and execute development testing for commonly used applications. Partner with cross-functional teams to gather requirements, plan, and execute the development of platforms that support healthcare research. Develop infrastructure automation for efficient resource management across multiple environments using Terragrunt and Terraform. Deploy and maintain scalable Kubernetes-based applications, ensuring secure and high-performance applications in production, and facilitating large-scale data analysis and research. Assist with building and maintaining secure cloud environments for the Arcus research platforms, ensuring robust data privacy and compliance with healthcare regulations. Requires a Bachelor’s degree in Bioinformatics or a related field and 1 year of experience working with bioinformatics data, Cloud infrastructure, and containerization, including developing bioinformatics pipelines in a Cloud environment and building ETL pipelines to transfer NGS/bioinformatics data, using Infrastructure as Code (IaC) to manage IT infrastructure, and Docker for containerization, as well as LINUX, R and Python. Telecommuters considered. Travel (<5%) for quarterly meetings. Send resumes to: oivs@chop.edu. #LI-DNI At CHOP, we are committed to fair and transparent pay practices. Factors such as skills and experience could result in an offer above the salary range noted in this job posting. Click here for more information regarding CHOP's Compensation and Benefits.

TRUE JOB TITLE: Scientific Application Specialist, Digital & AI LOCATION: 300 North Beacon, Suite 501 Watertown, MA SCHEDULE: Onsite 5 days, M-F DURATION: 6 months TOP SKILLS per MANAGER: 1. Experience in Laboratory Informatics 2. Experience in Data Analysis and Management 3. Technical knowledge of Digital Solutions TRUE JOB TITLE: Scientific Application Specialist Digital & AI Computational Biologist who has robust experience in Lab IT and scientific enterprise applications, with a capability to articulate project management concepts and IT terminologies clearly. Proficiency in processing biological numerical data, in addition to any bibliographic analysis work focused on LLMs, will be essential for success in this role. Expertise in data analysis and high-performance computing (HPC) application development, particularly in next-generation sequencing (NGS), which could be beneficial for analyzing population data. • Familiarity with bioinformatics workflows like mRNA, and has worked in both research and GMP contexts, illustrating distinct approaches to data capture in electronic lab notebooks (ELN). • Gathering requirements from scientists before tool development, has experience in creating large language models (LLMs) and end-to-end pipelines. ESSENTIAL FUNCTIONS 1. Develop and Implement Digital Innovation Solutions - Collaborate with researchers, laboratory staff, and the Digital Science team to understand their informatics needs and challenges - Identify, evaluate, and implement laboratory informatics solutions to access and visualize human data including public and proprietary data 2. Streamline Data Management: - Work on projects that enhance data accessibility, integrity, and usability while maintaining FAIR principles. - Ensure that data management practices are efficient and aligned with the latest digital technologies. 3. Collaborate with Digital & AI Team: - Partner with the Digital & AI team to identify and deploy new digital solutions. - Ensure that these solutions are effectively integrated into the research workflows for biology and pharmacology studies. 4. Training and Support: - Train scientists on the available digital solutions and provide ongoing support to ensure they are effectively utilized. - Develop training materials and conduct workshops as needed. 5. Propose New Solutions: - Continuously evaluate the current digital tools and propose new solutions that can further enhance the research capabilities of the team. - Stay updated with the latest advancements in digital technologies and their applications in scientific research. 6. Project Management: - Manage digital solution projects from conception to deployment, ensuring timely delivery and alignment with research goals. QUALIFICATIONS: Bachelor's Degree in in Bioinformatics, Computational Biology, or a related field from an accredited university OR Master’s degree in bioinformatics, Computational Biology, or a related field from an accredited university General qualifications: • Proven experience in Laboratory Informatics, preferably in a pharmaceutical research setting. • Proficiency in programming languages such as Python, R, or Java. • Experience with database management systems and data analysis tools as well as laboratory information management systems (LIMS). • Technical knowledge to configure / administer / maintain (vendor or home-built) digital solutions. • Knowledge of regulatory requirements and data privacy standards in research. • Excellent communication and interpersonal skills. • Ability to work independently and as part of a multidisciplinary team. • Strong problem-solving skills and attention to detail

We're hiringBioinformatics Scientists with strong backgrounds in database development, management and analysis as they relate to human health and disease biomarkers, with the goal of improving disease prediction and prevention. With ICR, you'll get to: • Design, build, test and refine multiple large biomarker databases in collaboration with multiple ICR teams • Work with biological data analysts to access and improve large databases of health and disease biomarkers for use in predictive analytics and predictive modeling • Conduct complex bioinformatics analyses on large genomic, transcriptomic and epigenetic data from biofluids and cell lines as well as large protein, cfDNA, miRNA and epigenetic datasets • Design and build streamlined pipelines and algorithms for database querying and multiple other applications to support complex dataset analyses Please apply if you have: • An advanced degree in Bioinformatics or Computer Sciences with a focus on database architecture, access and querying • Extensive database architecture experience (e.g. SQL, MySQL, etc) • Extensive programming experience and intimate knowledge of programming languages for statistical analysis • Experience mining, analyzing and exploring genomic, epigenetic, transcriptomic (RNAseq), proteomic, metabolomic, and other -omic datasets Ideally, you'll also have: • Extensive working knowledge of various AI/machine-learning algorithms and their implementation in biological dataset analysis • A solid understanding of and appreciation for Bayesian statistics and methods • Personal interest in using statistics to evaluate disease models and aging biology And you'll need: • Ability to work in the United States without sponsorship • A can-do attitude and a friendly, easygoing personality Salary Starting base pay range: $155,000/yr - $230,000/yr Starting additional compensation range: $10,000/yr - $30,000/yr Starting position title and compensation are commensurate with experience.

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 using the Career worklet, please review this tip sheet. The University of Miami/UHealth Department of SCCC has an exciting opportunity for a full time Sr. Bioinformatics Analyst to work in the UHealth Medical campus in Miami, FL. JOB SUMMARY As a Sr. Bioinformatics Analyst, you will be responsible for the bioinformatics and data analytics needs of the Cancer Proteomics Shared Resource. You will be actively involved in mass-spectrometry based proteomics data generation, processing, quality assurance analytics and visualization. CORE JOB FUNCTIONS • Perform searches to interpret m/z and intensity data into the amino acid sequence information, post translational modifications, and assemble that data into protein-based quantitative results. • Perform statistical analysis on label free quantitation, SILAC, and mass barcode (TMT) results to generate volcano plots and results in other visualization space(s). • Organize, maintain, and version control FASTA formatted databases for protein and peptide ID searches. • Manipulate RNA-seq data for searching against mass spectrometry-based protein and peptide mass and intensity data. • Develops and maintains next generation data analysis pipelines. • Assists in analysis pipeline and algorithms development and validation. • Extracts feature of interest from data relating to specific biological questions. • Contributes to the development and maintenance of genomic and clinical databases. • Performs statistical and integrative data analysis on genomics and clinical data. • Supervises team members and other data analysts. • Establishes standard operating procedures, documentation, and scripts to generate custom reports. • Progresses material for bioinformatics tutorials and training courses. • Tests the characterization and integration of diverse third-party bioinformatics algorithms. • 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. Master’s or PhD preferred in bioinformatics, applied mathematics, or large data analysis. Experience: Minimum 3 years of relevant experience Knowledge, Skills and Attitudes: • Skill in collecting, organizing, and analyzing data. • Ability to recognize, analyze, and solve a variety of problems. • Ability to exercise sound judgment in making critical decisions. • R-scripting and/or pearl scripting skills required. • Exceptional computer skills. • Excellent written and verbal communication skills. • Proficiency in MaxQuant, Sequest, Mascot, and Proteome Discoverer software tools. • Self-starter, diligent individual contributor, as well as delightful to work in a team environment. • Desire to apply proteomics towards improving quality of life and improving cancer diagnosis and care. • A strong publication record is desired but not required. #LI-YC1 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 - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information. Job Status: Full time Employee Type: Staff Pay Grade: A11

Job Advert: Lead Bioinformatics Scientist Job Title: Lead Bioinformatics Scientist Job Type: Permanent Salary: $180,000–$200,000 USD per year + bonus Role Location: San Francisco, CA (hybrid role) Visa Requirements: No sponsorship provided. The Company: Our client is an emerging leader within biotechnology, headquartered in the vibrant tech hub of San Francisco, California. Their mission is to empower scientists worldwide by accelerating biotech research through innovative DNA sequencing and analysis tools. Every day, thousands of innovators—including Nobel Prize winners, biotech startups, and research labs—rely on their solutions to drive world-changing discoveries in healthcare, sustainability, and beyond. In 2024, they saved researchers 2 million hours, transforming their productivity. Join their dynamic, collaborative team to shape the future of science. Role and Responsibilities: As the Lead Bioinformatics Scientist, you’ll lead the charge in building cutting-edge bioinformatics workflows that power faster, smarter science. Collaborating with a passionate team of scientists, bioinformaticians, and software engineers, you’ll drive innovation and mentor others in a creative, high-impact environment. Your key responsibilities include: • Designing and optimizing high-performance bioinformatics pipelines for processing thousands of daily samples, leveraging tools like Snakemake and cloud deployments. • Innovating sequence analysis workflows for bulk/single-cell RNAseq, differential gene expression, and large-scale genomics, ensuring robust and scalable solutions. • Troubleshooting complex sequencing data challenges, from biological artifacts to platform-specific issues, to ensure reliable outputs. • Developing intuitive web tools (e.g., Streamlit, R Shiny) and data visualizations to transform raw bioinformatics data into actionable insights. • Providing thought leadership and mentoring junior team members, fostering a culture of innovation and collaboration. • Staying ahead of industry trends, integrating emerging bioinformatics tools to enhance our offerings for biopharma and research clients. Job Requirements: • Education and Experience: PhD in Biological Sciences, Bioinformatics, Computational Biology, or related field, with 8+ years of experience developing production-level bioinformatics pipelines. • Required Qualifications: • Deep expertise in analyzing bulk/single-cell RNAseq data and performing differential gene expression using state-of-the-art tools. • Significant experience building production-level Snakemake (or Nextflow) pipelines, with local and cloud-based deployments. • Strong knowledge of sequence analysis (alignment, assembly) and molecular biology, with experience in Oxford Nanopore and Illumina sequencing. • Proficiency in Python (numpy, pandas, Jupyter, Biopython) and package management (e.g., Conda). • Hands-on experience with Docker, Apptainer, or Singularity for containerized workflows. • Expertise in Git/GitHub and Linux shell scripting for version control and automation. • Proficiency in developing intuitive web tools for bioinformatics reporting (e.g., R Shiny, Streamlit). • Familiarity with public genomic data repositories (e.g., NCBI, Ensembl) and large-scale genomic data processing. • Strong communication skills and ability to write clean, maintainable, production-ready code. • Preferred Qualifications: • Experience with compiled languages (C++, Rust) for performant software development. • 1+ year of molecular biology wet lab experience. • Demonstrated ability to develop novel bioinformatics algorithms. • Strong interest in creating intuitive data visualizations for scientific insights. Benefits: • Competitive Compensation: Highly competitive remuneration. • Generous Time Off: 4 weeks paid time off + 10 paid holidays. • Comprehensive Health Coverage: Health, dental, and vision insurance, plus life insurance and mental health coverage. • Retirement and Wellness: 401(k) with matching, Health Advocate services, and gym membership. • Impactful Work: Contribute directly to accelerating biotech research, supporting novel therapies and sustainability. • Innovative Environment: Work with cutting-edge tools (e.g., Snakemake, Streamlit, AWS) and collaborate with top-tier researchers. • Supportive Culture: Join a passionate, inclusive team that values creativity, mentorship, and professional growth. Accessibility Statement: Read and apply for this role in the way that works for you by using our Recite Me assistive technology tool. Click the circle at the bottom right side of the screen and select your preferences. We make an active choice to be inclusive towards everyone every day. Please let us know if you require any accessibility adjustments through the application or interview process. Our Commitment to Diversity, Equity, and Inclusion: Our mission is to empower every person, regardless of their background or circumstances, with an equitable chance to achieve the careers they deserve. Building a diverse future, one placement at a time. Check out our DE&I page here

Imagine being involved with innovative projects that change the course of our industry daily! At Labcorp, you are part of a journey to accelerate life-changing healthcare breakthroughs and improve the delivery of care for all. You will be inspired to discover more, develop new skills and pursue career-building opportunities as we help solve some of today’s biggest health challenges around the world. Together, let us embrace possibilities and change lives! We have an excellent opportunity for a Bioinformatics Scientist to join our growing team. This is a US remote based position. If you have a passion for making quality and data integrity a priority, this is an ideal position for you! Position Summary The Bioinformatics Scientist, with limited guidance from more experienced scientists, works both independently and collaboratively on multiple projects that range from moderate to complex in scope. This role involves active participation in project planning and analyses, often serving as the bioinformatics lead responsible for the successful execution of projects. The Bioinformatics Scientist independently makes detailed observations, analyzes data, and interprets results. In a team setting, the Bioinformatics Scientist will primarily engage in Research and Development projects, acting as a technical lead in translating research ideas and concepts into the product development pipeline for diagnostic assay products. Additionally, the Bioinformatics Scientist will support and improve bioinformatics pipelines for production. Essential Duties and Responsibilities: • Collaborate with R&D scientists on the development of new assays, measurement technologies, and tests for evaluating clinical conditions. • Perform statistical and bioinformatics analyses of experimental data generated by clinical testing instruments, such as DNA sequencers and qPCR. • Conduct data mining on both internally produced and publicly available datasets. • Provide analytical information to management to support decision-making regarding the development of new laboratory-developed tests. • Offer bioinformatics support for commercial molecular diagnostics. • Develop or enhance data analysis pipelines necessary for processing large datasets. • Prepare and provide information and data for scientific abstracts/conferences/project meetings/publication. • Manage bench-generated data and bioinformatics outputs within high performance computing (HPC) or cloud computing environment. • Prepare detailed technical procedures, protocols, and reports. Minimum Education & Previous Experience Required: • PhD in bioinformatics, computational biology, computer science, mathematics preferred OR • Master’s degree in bioinformatics, computational biology, computer science, mathematics, or related field plus 2 years of experience; OR • Bachelor’s degree in bioinformatics, computational biology, computer science, mathematics, or related field plus 6 years of experience in industry. Knowledge, Skills & Abilities: • Proven track record of proficiency in data analysis and statistical learning • Proficient in biological sequence analysis and analysis of next-generation sequencing data • Proficiency with Python, R is highly desirable • Experience with Laboratory Developed Tests (LDT) highly desirable • Programming experience in Python or Perl and experience with rational and non-structure databases is highly desirable • Experiences with public domain tools of NGS data analysis (CLCbio, GATK2, Bowtie, BWA, SOAP, Samtools, Bedtools). • Demonstrated success in technical proficiency, scientific creativity, collaboration with others and independent thought • Knowledge of using professional concepts to contribute to development of company's concepts and principles and to achieve objectives in creative and effective ways; works on extremely complex problems in which analysis of situations or data requires an evaluation of intangible variables; exercises independent judgment in developing methods, techniques and evaluation criteria for obtaining results; acts independently to determine methods and procedures on new assignments and may oversee and manage the activities of lower level personnel • Extensive experience in Linux-based HPC or cloud computing environments and associated tools. • Ability to write custom code in at least three programming or scripting languages. Application window open through: 07/16/2025 Pay Range: $100k - $120k 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. 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. 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. 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.

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 using the Career worklet, please review this tip sheet. The University of Miami/UHealth Department of SCCC has an exciting opportunity for a Full Time Bioinformatics Analyst (Cheminformatics) to work the UHealth Medical Campus in Miami, FL 33146. CORE JOB SUMMARY The Bioinformatics Analyst works with research staff to extend capabilities in bioinformatics and improve understanding of genetic variation in human health and disease. The Bioinformatics Analyst maintains and performs analysis with existing pipelines while assisting and benchmarking the development of novel methods. CORE JOB FUNCTIONS ● Runs and maintains existing next generation data analysis pipelines. ● Assists senior bioinformatics analysts in pipeline and algorithm development and validation. ● Extracts features of interest from data relating to specific biological questions. ● Contributes to the maintenance of genomic and clinical databases. ● Performs statistical and integrative data analysis on genomics and clinical data. ● Works along-side other team members and data analysts. ● Follows standard operating procedures, documentation, and scripts to generate reports. ● 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: PhD degree in relevant field Experience: Minimum 1 year of relevant experience Knowledge, Skills and Attitudes: ● Skill in collecting, organizing, and analyzing data. ● Ability to recognize, analyze, and solve a variety of problems. ● Ability to exercise sound judgment in making critical decisions. ● Ability to process and handle confidential information with discretion. ● Proficiency in computer software. Department Specific Functions & Qualifications The Sylvester Comprehensive Cancer Center & the Department of Molecular and Cellular Pharmacology are actively seeking a full-time Bioinformatics / Cheminformatics Analyst to work on the UHealth campus in Downtown Miami. At Sylvester, we are at the cutting edge of healthcare innovation, leveraging artificial intelligence and machine learning to transform drug discovery and development. Our mission is to accelerate the delivery of therapeutic solutions to patients through state-of-the-art technology and groundbreaking research. The Analyst will leverage expertise in computational chemistry, bioinformatics, and AI to process and analyze large-scale biomedical, small molecule bioactivity, structural biology, image, and clinicogenomic datasets, integrating them with the Sylvester Data Portal. The successful candidate will work within an interdisciplinary team of research scientists, data engineers, and full-stack developers, using state-of-the-art software development practices to enhance the university’s research activities. Primary Responsibilities: ● Process and analyze large-scale multi-omics and drug discovery datasets (WES, WGS, bulk/single-cell RNA-Seq, ATAC-Seq, Drug Screening, CRISPR Screening). ● Develop and maintain production-grade pipelines for processing and analysis of diverse biomedical datasets. ● Develop visualization and bioinformatic analysis tools for exploring diverse biomedical data. ● Integrate developed tools and pipelines with Sylvester’s internal end-user data analytics platform. ● Apply state-of-the-art AI, bioinformatics, and biostatistics approaches to cancer precision medicine. ● Write standard operating procedures and other relevant documentation. ● Develop and apply AI/ML models for structure-based and ligand-based drug design. ● Utilize computational tools to predict and optimize pharmacokinetic (PK) and pharmacodynamic (PD) properties of drug candidates. ● Design and implement algorithms to identify novel drug candidates and elucidate their mechanisms of action. ● Integrate and analyze large-scale biological, chemical, and clinical datasets to extract insights and inform drug discovery decisions. ● Collaborate with cross-functional teams to advance drug discovery projects. ● Analyze and interpret PK/PD data using advanced statistical and modeling software. ● Stay updated with advancements in computational chemistry, AI, and bioinformatics. ● Contribute to the development of new computational tools and methodologies. ● Present findings to both technical and non-technical stakeholders. ● Participate in scientific discussions and strategy meetings, providing AI/ML expertise. ● Author scientific papers, reports, and patents related to AI/ML in drug discovery. Preferred Requirements ● PhD or MSc degree in computational chemistry, computational biology, medicinal chemistry, pharmaceutical sciences, computational sciences, or a related field. ● Fluency in R or Python and Unix (bash). ● Experience with analyzing and interpreting different omics and/or drug discovery datasets (WES, WGS, bulk/single-cell RNA-Seq, ATAC-Seq, Drug Screening, CRISPR Screening). ● Experience with using common open-source bioinformatics/NGS workflows (BWA, STAR, Picard, GATK, etc.). ● Familiarity with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch), and developing and deploying machine learning models. ● Highly motivated, strong work ethic, and able to work independently and with a team. ● Excellent skills in communication, organization, and time management. Preferred Qualifications ● For Ph.D. holders: 0-3 years of relevant experience in computational chemistry, AI, and drug discovery. ● Deep expertise with chemical toolkits such as DeepChem, ChemAxon, OEChem, or RDKit. ● Familiarity with drug discovery databases (CTRP, GDSC, PRISM, CCLE, DepMap, LINCS) and publicly available clinicogenomic datasets (CPTAC, TCGA, AACR Project GENIE, etc.). ● Experience with Cloud Computing Environments (e.g., Azure). ● Familiarity with relational (e.g., PostgreSQL) and/or NoSQL databases (e.g., MongoDB). ● Familiarity with container technologies (e.g., Docker). ● Experience with Generative AI tools and techniques. ● Familiarity with High Performance Computing. ● Familiarity with version control (Git). #LI-YC1 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 - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information. Job Status: Full time Employee Type: Staff Pay Grade: A9 The mission of the University of Miami is to transform lives through education, research, innovation, and service. A vibrant and diverse academic and healthcare community, the University of Miami and the University of Miami Health System ("UHealth") have rapidly progressed to become one of the nation’s top research universities and academic medical centers in the nation. The University comprises 12 schools and colleges serving undergraduate and graduate students in more than 350 majors and programs. Visit welcome.miami.edu/about-um to learn more about our points of pride. The University ranks No. 55 on U.S. News & World Report’s 2022 Best Colleges list and ranked No. 49 in the 2022 Wall Street Journal/Times Higher Education College Rankings. Bascom Palmer Eye Institute is ranked the #1 eye hospital in the USA and offers some of the nation's premiere eye doctors to treat every eye condition for adults. Sylvester Comprehensive Cancer, part of the Miller School of Medicine, received the prestigious National Cancer Institute designation in 2019. The University of Miami and UHealth have also ranked among the Forbes Best Employers and Best Employers for Women on several occasions, most recently in 2022. Transforming lives With more than 17,000 faculty and staff, the University strives for excellence, and is driven by a powerful mission to transform and impact the lives of its students, patients, members of the community, and people across the globe. The University is committed to fostering a culture of belonging, where everyone feels valued and has the opportunity to add value. Through values of Diversity, Integrity, Responsibility, Excellence, Compassion, Creativity, and Teamwork (DIRECCT) the U community works together to create an environment driven by purpose, excellence, community, and service.

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 using the Career worklet, please review this tip sheet. Microbiology & Immunology has an exciting opportunity for a full time Research Associate 3, SOM position. The incumbent assumes responsibility for the design and performance of research focused on the development of novel experimental therapies for human malignancies. The incumbent contributes to collaborations with scientists within the University of Miami or elsewhere. Moreover, this individual works as part of a team and assists with the maintenance of laboratory equipment, protocols, and supplies. CORE JOB FUNCTIONS • Maintains daily operations and performs procedures related to new and on-going research projects. • Assists with ordering, purchasing, and maintenance of all required reagents and supplies for laboratory activities, and monitors and maintains inventory of supplies and stocks. • Assists with the maintenance of institutional biosafety and animal care protocols, laboratory safety records, and standard operating procedures. • Performs and assists other research staff with standard laboratory techniques. • Develops, adapts, and implements new laboratory procedures. • Records, organizes, and writes up experimental results for submission of manuscripts and for scientific presentations. • Keeps abreast of latest literature in the field and searches for references to technical problems. • Maintains current knowledge of the methods and techniques related to the specific field of research. • 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 • Bachelor’s Degree in relevant field • Minimum 5 years of relevant experience DEPARTMENT ADDENDUM Department Specific Functions • Design and apply bioinformatics algorithms including unsupervised and supervised machine learning, dynamic programming, or graphic algorithms. • Compile data for use in activities such as gene expression profiling, genome annotation, and structural bioinformatics • Create novel computational approaches and analytical tools as required by research goals • Work with lab team to analyze problems, recommend technology-based solutions, or determine computational strategies. • Create or modify web-based bioinformatics tools and train personnel in technical or scientific procedures. • Prepare scientific or technical reports or presentations #LI-GD1 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 - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information. Job Status: Full time Employee Type: Staff Pay Grade: A7

Description Leidos Public Health Division has a 3-month paid fellowship program for a PhD student scientist specialized in Bioinformatics science and pipeline development. The graduate fellow will work with Leidos on bioinformatics projects of public health importance. The ideal candidate will have strong experience in Transcriptomics, NGS data analysis, including QC, assembly, annotation, alignment, variant detection, and preferably phylogenetic analysis of microbial genomes and metagenomes. Extensive hands-on experience with bioinformatics pipeline development using Nextflow is expected. This fellowship may be extended beyond 3 months and is open to telecommuting, location preferred Atlanta, GA. Responsibilities • Develop, test, and deploy bioinformatics data pipelines and workflows using Nextflow. • Develop and execute bioinformatics algorithms and workflows in HPC (high-performance computing) environments. • Write customs scripts and software to perform bioinformatics analysis using Python, Perl and/or R. • Perform bioinformatics analysis using open-source bioinformatics tools as well as licensed proprietary software such as CLC Genomics Workbench and Geneious. Support modeling and simulation of evolutionary and population bological process using Bayesian inference and/or genetic algorithms. • Use statistical analysis tools, interpret and communicate results. • Develop tools for visualizing complex biological datasets and able to interpret and communicate results as well as uncertainty to a diverse group of customers. • Develop and maintain highly curated genomic sequence databases, signature databases for virulence and AMR markers, strain type and pathogen type markers. • Work together with the DevOps team in adopting best software engineering practices for tool and workflow development. • Assist with developing standard operating procedures for bioinformatics analyses. • Supports public health researchers in creating and submitting publication and poster presentations. MINIMUM QUALIFICATIONS: • A PhD candidate in their advanced state (e.g. 4th or 5th year) of their study in bioinformatics, genomics, molecular biology, genetics or related field. • 2+ years of hands-on bioinformatics experience through academic or research work. • Experience in developing pipelines using Nextflow (primary), Snakemake, and/or Workflow Description Language (WDL). • Experience with processing of high-throughput data and possessing strong data management and analysis skills. • Experience working in Linux environments and broad experience with open source bioinformatics tools. • Proficient coding/scripting in Python, R, Perl • Experience working in a high-performance computing environment • Strong communication skills PREFERRED QUALIFICATIONS: • A PhD candidate in their advanced state (e.g. 4th or 5th year) of their study in bioinformatics, genomics, molecular biology, genetics or related field. • Hands on bioinformatics development experience in public health. • Experience in designing and conducting training workshops to the bioinformatics community on latest bioinformatics methods and concepts. • Previous internship or fellowship experience at the CDC or other public health agencies. ELIGIBILITY Applicants should demonstrate a strong interest in careers focused on bioinformatics development and public health. To be eligible, candidates must: • Be a U.S. citizen • A current Ph.D. candidate (expecting to graduate in 2025 or 2026) in bioinformatics, genomics, molecular biology, genetics, or a closely related field from an accredited institution • Be able to successfully pass a background check for CDC clearance • Successfully complete a bioinformatics development exercise Location: 100% remote with preference for metro Atlanta, GA Original Posting: July 14, 2025 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $55,250.00 - $99,875.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. #Remote