Bioinformatics Jobs

Description: As an active team member of the Computational Biology and Digital Sciences (CBDS), the successful candidate will contribute to oncology drug discovery research through in silico data driven approaches. You will leverage multi-modal omics data analysis and collaborate with biologists to solve scientific challenges to advance drug discovery programs. Duties and responsibilities: Strong scientific understanding and experience in bioinformatics analysis and their implications in disease biology Working knowledge of NGS based omics data analysis (bulk and single cell RNA-seq, spatial transcriptomics analysis is a plus) Identify and process publicly available and internal generated bulk, single-cell and spatial transcriptome datasets using statistical and bioinformatics techniques to create meaningful biological insights Apply and develop innovative analysis approaches when standard methods are not adequate Follow relevant scientific literature to ensure use of optimal methods and understand emerging practices across the field Interpret and present analysis results to coworkers, biologists and collaborators. Communicate work effectively orally and in writing Ensure FAIR data analysis with clear documentation and reproducibility Report and treat data with a high level of integrity and ethics Comply with applicable regulations; Maintain proper records in accordance with SOPs and policies Skills: Programming experience with two or more programming languages including: Python, R for bioinformatic data analysis, shell/bash programming in unix-like systems. Proficiency in working with bulk and single cell NGS data, spatial transcriptomic data analysis is a plus Proficiency in working with cloud computing and high performing clusters (HPC) Experience in biological pathway analysis Experience in applying machine learning and artificial intelligence methods to biological data, deep learning and graph learning is a plus Two years hand on experience of bioinformatic data analysis Solid background in basic biology and disease biology. Knowledge in oncology or immunology is a plus. Ability to develop and benchmark machine learning algorithms Experience in using common public oncology datasets is a plus (TCGA, GTEX, Human cell atlas, CZ CELLxGene Client, Human tumor atlas network, etc) Education: PhD/Master's degree from an accredited institution with experience in a related scientific discipline (Computational Biology, Genomics, Biostatistics, Bioinformatics and Biological Sciences preferred) Required SEQUENCING ARTIFICIAL INTELLIGENCE STATISTICS DATA SCIENCE BIOINFORMATICS Job Type: Contract Pay: $40.00 - $50.00 per hour Schedule: • 8 hour shift Work Location: Remote

Look for more than answers. As a Bioinformatics Engineer, you will work for the world leader in the industry, with a career where you will have the opportunity to collaborate and affect change while expanding your leadership skills and technical knowledge. You can make a real impact in a market that is growing and developing. This position is in our Bioinformatics Solutions Engineering group, part of the Research and Development organization, in Molecular Genomics & Oncology unit. The team supports genetic/genomic testing in a highly regulated CAP/CLIA laboratory environment primarily using short and long-read sequencing as the basis of evidence. The right candidate will know how to balance innovation, standards, and quality with a practical understanding of when each is appropriate. The Bioinformatics Solutions Engineering group is a cross-functional unit focusing on end-to-end design, develop, document, validation and launching of new high quality diagnostic tests and services for the benefit our patients. This person can work 100% remote and must be located in the US. • Develop, validate, and implement new software applications, databases, processes, and interfaces relating to next-generation sequencing (NGS) data analysis, advanced diagnostic testing development and validation, data quality review, and clinical reporting. • Serve as SME on specific systems/workflows supporting advanced development and high-tier production support. • Participate in resolution of support requests. Regularly report progress and prepare data analyses for internal review • Prepare reports and other communications of technical activities related to business objectives such as product/process development and improvement. • Activities may be focused individual projects or, more usually, assignments as a member of a project team, often working closely with other Software Developers, R&D bench scientists, Genetic Counselors, Operations Scientists, and other technical business partners. 3+ years of experience with a Bachelor's degree or 1+ year with a Master's degree and experience in an industrial or academic setting working with clinical and biological data or equivalent and underlying technologies including bioinformatic methods, database development, query/scripting/programming languages, cloud development, agile methodology, DevOps and other data analysis tools. Preferred Work Experience / Skills: • Bioinformatics tools such as Dragen, bwa, VEP, FastQC, MultiQC, samtools, bedtools • Experience with sequencing data analysis, bioinformatics, variant data analysis • Pipeline workflow management languages: Nextflow (preferred), Cromwell, CWL, etc. • Database: SQL (e.g., postgress, MySQL), understanding of NoSQL databases • Cloud Computing: AWS • Infrastructure management: Terraform, AWS CDK • Programming Languages: Advanced level with interpreted/scripting languages such as Python, javascript/typescript, R, etc. • Containerizing: Docker • Experience with designing and working with application programming interfaces (e.g. JSON based RESTful APIs) • Web Frameworks: Python Flask, React Native, Bootstrap • Reporting: Familiarity with R Markdown, Jupyter Notebook • Visualization: Experience with any of ggplot2/tidyverse, Plotly, matplot lib, Tableau, d3.js • Source Control: Git • CI/CD: Gitlab CI/CD, Github CI/CD • Understanding of environment management • Experience of working in clinical diagnostics setting (regulations, controlled processes, environment management) is a plus. Education: Bachelor’s Degree(Required) Master’s Degree Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets

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

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

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

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. 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. Department Specific Functions: As a Sr. Bioinformatics Analyst, you will be responsible for the bioinformatics and data analytics needs of the PSR. • Be actively involved in mass-spectrometry based proteomics data generation, processing, quality assurance analytics and visualization. • 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. • Perform searches to translation m/z and intensity data in the amino acid sequence information and assemble that data into protein-based 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). 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

Responsibilities upstream processing of 'omics data (QC, normalization, exploratory data analysis). downstream interrogation of bulk, single-cell, and/or spatial transcriptomic data (e.g., differential gene expression analysis, gene set enrichment analysis, cell type annotation, cell trajectory analysis, cell-cell communication analysis). Additional responsibilities may include analysis of proteomics or other data modalities depending upon project needs. Applicants should be familiar with high-performance computing systems, shell scripting in a Linux environment, and have strong facility with R and/or Python, including relevant bioinformatics packages (e.g., Seurat, edger/lima). Those with experience integrating multi-modal data (e.g., scRNAseq + scATACseq, spatial RNAseq + spatial proteomics) are especially encouraged to apply. Requirements PhD in Bioinformatics, Genetics, Molecular and Cellular Biology, or related field or MS with at least 6 years of experience. single-cell and/or spatial transcriptome QC and analysis (e.g., with Seurat or Scanpy). bulk RNAseq data processing and analysis. facility with R and/or Python for data exploration and statistical analysis. experience with high-performance computing (HPC) and job submission systems.

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

Look for more than answers. As a Bioinformatics Engineer, you will work for the world leader in the industry, with a career where you will have the opportunity to collaborate and affect change while expanding your leadership skills and technical knowledge. You can make a real impact in a market that is growing and developing. This position is in our Bioinformatics Solutions Engineering group, part of the Research and Development organization, in Molecular Genomics & Oncology unit. The team supports genetic/genomic testing in a highly regulated CAP/CLIA laboratory environment primarily using short and long-read sequencing as the basis of evidence. The right candidate will know how to balance innovation, standards, and quality with a practical understanding of when each is appropriate. The Bioinformatics Solutions Engineering group is a cross-functional unit focusing on end-to-end design, develop, document, validation and launching of new high quality diagnostic tests and services for the benefit our patients. This person can work 100% remote and must be located in the US. • Develop, validate, and implement new software applications, databases, processes, and interfaces relating to next-generation sequencing (NGS) data analysis, advanced diagnostic testing development and validation, data quality review, and clinical reporting. • Serve as SME on specific systems/workflows supporting advanced development and high-tier production support. • Participate in resolution of support requests. Regularly report progress and prepare data analyses for internal review • Prepare reports and other communications of technical activities related to business objectives such as product/process development and improvement. • Activities may be focused individual projects or, more usually, assignments as a member of a project team, often working closely with other Software Developers, R&D bench scientists, Genetic Counselors, Operations Scientists, and other technical business partners. 3+ years of experience with a Bachelor's degree or 1+ year with a Master's degree and experience in an industrial or academic setting working with clinical and biological data or equivalent and underlying technologies including bioinformatic methods, database development, query/scripting/programming languages, cloud development, agile methodology, DevOps and other data analysis tools. Preferred Work Experience / Skills: • Bioinformatics tools such as Dragen, bwa, VEP, FastQC, MultiQC, samtools, bedtools • Experience with sequencing data analysis, bioinformatics, variant data analysis • Pipeline workflow management languages: Nextflow (preferred), Cromwell, CWL, etc. • Database: SQL (e.g., postgress, MySQL), understanding of NoSQL databases • Cloud Computing: AWS • Infrastructure management: Terraform, AWS CDK • Programming Languages: Advanced level with interpreted/scripting languages such as Python, javascript/typescript, R, etc. • Containerizing: Docker • Experience with designing and working with application programming interfaces (e.g. JSON based RESTful APIs) • Web Frameworks: Python Flask, React Native, Bootstrap • Reporting: Familiarity with R Markdown, Jupyter Notebook • Visualization: Experience with any of ggplot2/tidyverse, Plotly, matplot lib, Tableau, d3.js • Source Control: Git • CI/CD: Gitlab CI/CD, Github CI/CD • Understanding of environment management • Experience of working in clinical diagnostics setting (regulations, controlled processes, environment management) is a plus. Education: Bachelor’s Degree(Required) Master’s Degree Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets

• Design, implement and/or deploy NGS data analysis workflows for data processing, visualization, integration and mining to support Client therapeutic target identification and disease biomarker discovery. • Data Analysis : Implement methods for omics data analysis, and interpretation of genomic data sets (e.g., bulk RNA-seq, scRNA-seq, ATAC-Seq, spatial RNA-Seq) Data Visualization: Fluency in contemporary data visualization methods like R Shiny , D3 Data Integration: • Analyzing diverse datasets (multi-omics) to find relevant drug discovery targets and downstream effects relevant to immune disease Data Mining: Internal, collaborative, and public databases to assist in the characterization of immune disease Select and benchmark methods and tools, define and perform appropriate QC measures • Apply and develop innovative analysis approaches when standard methods are not adequate Interpret and present analysis results to coworkers and collaborators Follow relevant scientific literature to ensure use of optimal methods and understand emerging practices across the field Demonstrates the ability to interpret the outcome of experiments, propose appropriate follow-up, and may propose new avenues of investigation • Communicates own work effectively orally and in writing; contributes to writing protocols, procedures, and technical reports. • Automate processing and results reporting and delivery. • Reports and treats data with a high level of integrity and ethics Complies with applicable regulations; Maintains proper records in accordance with SOPs and policies • The ideal candidate will have a strong scientific understanding and with experience in bioinformatics in a pharmaceutical research environment. The successful candidate will have experience with more than one of the following; analyzing next-generation sequencing (NGS), functional genomics, statistics for big data analysis, or multi-omics data integration. Good knowledge of existing bioinformatics databases and file formats. In-depth understanding of computational methods for NGS analysis and the usage of public data resources required. Strong hands-on skills in relevant programming languages (e.g., R, Python, Shiny, UNIX/Linux, UNIX bash shell scripting, Nextflow), statistical software, cloud computing, visualization tools, and relevant R/Bioconductor packages. Demonstrated ability to produce well-designed and documented code and familiarity with code repositories such as GitHub. • Experience in accessing LLMs through APIs, such as the OpenAI API or LangChain a plus. Experience with web app development - specifically Streamlit or Shiny. • Finally, the ideal candidate will have familiarity with computational biology tools and experience working with computational biologists to solve problems. Must enjoy working in a multi-disciplinary and collaborative environment. Ability to troubleshoot both individually and as part of a team. Excellent oral and written skills with the ability to communicate in an open, transparent, timely and consistent manner. Education:Master's degree from an accredited institution with one-plus (1+) years of experience in a related scientific discipline (Computer Science, Genomics, Biostatistics or Bioinformatics preferred) OR Bachelor's degree from an accredited institution with seven-plus (7+) years of experience in a STEM discipline. Required • BIOINFORMATICS • BIOSTATISTICS • DATABASES • GENOMICS • LINUX Job Type: Contract Pay: $40.00 - $45.00 per hour Benefits: • 401(k) • Dental insurance • Health insurance • Paid time off • Vision insurance Schedule: • 8 hour shift Experience: • Linux: 1 year (Preferred) • Bioinformatics: 1 year (Preferred) • SAS: 1 year (Preferred) Work Location: Remote