Bioinformatics Jobs

Understanding the location and functions of genes within an organism's genome is useful for scientists to learn more about the relationship between organisms. We look at several features of fruit fly genomes as part of the Genomics Education Partnership. We use online software to make judgements about start and stop sites on exons within the genomes. Students can participate remotely, though sessions with the PI are needed for training and initial workthroughs.

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 UHealth System at the University of Miami has an exciting opportunity for a Bioinformatics Analyst in the Radiation Oncology Department. 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: Bachelor’s 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. 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 US Air Force School of Aerospace Medicine (USAFSAM) has a bioinformatics fellowship opportunity open to those who have obtained a master's degree in the field of Biological Sciences, Public Health, Biocomputing, or similar field. What will I be doing? As an Oak Ridge Institute for Science and Education (ORISE) participant, you will join a community of scientists and researchers in an effort to further the fellow’s knowledge of infectious disease surveillance, wastewater surveillance, genomic sequencing, and data collection, management and visualization. The purpose of this training fellowship is to provide an educational experience to individuals interested in the fields of public health, infectious disease, epidemiology, and surveillance. The fellow will gain insight into how to communicate data and findings from a surveillance network to decision-makers, other researchers, and the public. Fellows will train within the United States Air Force School of Aerospace Medicine’s Applied Technology and Genomics division and can expect to gain valuable experiences in bioinformatics, high performance computing, and infectious disease surveillance. The fellow will also participate in activities related to database cleaning, data analysis, data visualization, and interpretation of results. The fellow may also have opportunities to develop manuscripts and/or posters or oral presentations for academic conferences. Why should I apply? Under the guidance of a mentor, you will gain hands-on experience to support your academic and professional goals. Along the way, you will engage in activities and research in several areas. These include, but are not limited to: • Analyze large-scale data and summarize findings using statistical software • Develop analysis pipelines and workflows utilizing available platforms • Perform data analysis and develop visualizations using public and in-house tools and dashboards • Collaboration and participation in meetings • Be involved with verbal and written presentations of studies at scientific conferences • Preparation of literature searches, scientific manuscripts, posters, presentations, and other information Where will I be located? The location of this appointment may vary. What is the anticipated start date? Exact start dates will be determined at the time of selection and in coordination with the selected candidate. Applications are reviewed on an ongoing basis and internships will be filled as qualified candidates are identified. What is the appointment length? This appointment is a twelve-month research appointment at a full-time level of participation. Appointments may be extended depending on funding availability, project assignment, program rules, and availability of the participant. What are the appointment provisions? You will receive a stipend to be determined by USAFSAM. Stipends are typically based on a participant’s academic standing, discipline, experience, and research facility location. Other provisions may include the following: • Health Insurance Supplement (Participants are eligible to purchase health insurance through ORISE) • Relocation Allowance • Training and Travel Allowance About USAFSAM The 711th Human Performance Wing’s U.S. Air Force School of Aerospace Medicine (USAFSAM) was established in 1918 and is the premier institute for education and worldwide operational consultation in Aerospace and Operational Medicine. USAFSAM has been a leader in the field of aerospace medicine and human performance from the beginnings of aviation through the onset of the space age and into the present, and is the oldest continually operating institution of its kind. It is also host to the largest aeromedical library in the world. By joining forces with the Air Force and Navy Research Laboratories, USAFSAM fully leverages aeromedical, science, and technology to optimize performance, health, and survival of healthy humans in abnormal or extreme environments, including combat, air, space, and cyberspace. The Applied Technology and Genomics (PHT) Division is a Biosafety Level-2 laboratory, and the only research genetics laboratory in the USAF that can support several projects focusing on: bacterial/viral culture, DNA/RNA extraction, PCR amplification, DNA printing (primers/probes/synthetic constructs), next-generation sequencing, microscopy, analysis of genetic code, and secured storage of genetic code. About ORISE This program, administered by Oak Ridge Associated Universities (ORAU) through its contract with the U.S. Department of Energy (DOE) to manage the Oak Ridge Institute for Science and Education (ORISE), was established through an interagency agreement between DOE and DoD. Participants do not enter into an employee/employer relationship with ORISE, ORAU, DoD or any other office or agency. Instead, you will be affiliated with ORISE for the administration of the appointment through the ORISE appointment letter and Terms of Appointment. Proof of health insurance is required for participation in this program. Health insurance can be obtained through ORISE. For more information, visit the ORISE Research Participation Program at the U.S. Department of Defense.

About the Role The Vice President Bioinformatics and Software Engineering will lead the development and implementation of scalable software systems and bioinformatics pipelines supporting whole genome sequencing (WGS) and clinical diagnostics. This executive-level role combines deep expertise in genomics, cloud engineering, and regulatory compliance to drive innovation in computational biology and precision medicine. The ideal candidate will build and manage a multidisciplinary team and lead the strategy for bioinformatics infrastructure in a clinical setting. Responsibilities: • Develop and execute a strategic roadmap for bioinformatics and software engineering in support of regulated diagnostic products • Lead the design, development, and validation of NGS pipelines, including WGS and RNA-seq, in compliance with CLIA/CAP and FDA requirements • Oversee software development, cloud infrastructure, internal tooling, APIs, and production systems to support clinical diagnostics and lab operations • Establish engineering best practices in code management, testing, deployment, data traceability, and auditability • Recruit, manage, and mentor a high-performing team of bioinformaticians and software engineers • Collaborate cross-functionally with R&D, Clinical, Regulatory, and Product teams to integrate bioinformatics into diagnostic product development • Shape data strategy including long-term infrastructure, real-world evidence generation, and AI/ML enablement • Ensure regulatory and security compliance across all systems and workflows • Leverage open-source technologies and modern cloud-based platforms (AWS preferred) to build scalable, reliable software solutions Qualifications: • PhD or MS in Bioinformatics, Computational Biology, Computer Science, or a related field • Minimum of 10 years of experience in bioinformatics and software engineering for next-generation sequencing (NGS), particularly whole genome sequencing • Demonstrated success in building and scaling cloud-based platforms for regulated diagnostics • Proven leadership experience managing cross-functional technical teams in a clinical or healthcare setting • Strong understanding of compliance standards including CLIA, CAP, and FDA submissions • Hands-on experience with cloud infrastructure, preferably AWS • Excellent communication and collaboration skills with the ability to engage both technical and executive stakeholders Desired Qualifications: • Experience with RNA-seq, multi-omics analysis, and integrative bioinformatics workflows • Familiarity with laboratory information management systems (LIMS), clinical reporting software, and lab automation workflows • Background in FDA submission processes and development of QMS-aligned software systems • Experience with AI/ML applications in genomic diagnostics • Knowledge of data governance, audit trails, and infrastructure to support real-world evidence generation

The Lead-Bioinformatics Research Scientist takes a lead role in data analysis, data visualization, statistical analysis, experimental design, database development, mathematical modeling, and novel method development. Working independently, provides bioinformatics analysis for investigators and communicates analytical process and results. A Lead Bioinformatic Research Scientist position is available in the lab of Dr. Jian Xu at Department of Pathology and Center of Excellence for Leukemia Studies (CELS) at St. Jude Children’s Research Hospital to study the genomic and/or metabolic mechanisms controlling stem cell development and blood cancers. Our lab uses cutting-edge genomics, metabolomics and bioinformatics approaches in a multi-disciplinary and collaborative team setting. Our recent studies include the development of the CRISPR CAPTURE approach (Cell 170:1028), the analysis of rewired BCAA metabolism (Cancer Discovery 9:1228), the role of pathogenic non-coding variants (Cancer Discovery 10:724), retrotransposon silencing (Nature Genetics 53:672), therapy resistance in hematologic malignancies (Cancer Discovery 13:170), and metabolic rewiring in erythropoiesis (Science 386:eadh9215). The main responsibilities will be developing and implementing bioinformatic methodologies for integrative genomic and metabolomic studies of childhood cancers; overseeing operations related to genomic and metabolomic data processing and analysis within the Advanced Technology & Genomics (ATG) core, including software pipelines for short-read and long-read-based genome sequencing, single-cell genomics, high throughput metabolomic profiling, and stable isotope tracing; managing databases; and providing bioinformatic support and services to other lab members and St. Jude researchers. Candidates must hold a MS or PhD degree with a strong background and expertise in genomics, computational biology, metabolism research, and/or cancer biology. The ideal candidate will exhibit independence, flexibility and creativity with a record of scientific productivity. Previous experience in single-cell genomics, computational biology, and/or hematology-oncology is strongly preferred. Interested individuals should upload a CV, a short summary of research interest and experience, and a list of three references. Job Responsibilities: • Lead data analysis and deliver high-quality results by formulating advanced and/or new analytical approaches with the available data/ to address challenging data analysis questions. • Deliver data files, and document the analytical process. Participate in manuscript preparation at project's conclusion. • Establish and document protocols or best practices for common research tasks. • Recommend ideas to automate or improve existing analysis methods and implement the improvement. • Evaluate and test new methods and technologies. Develop reusable code and pipeline. Participate in redistribution and education of novel methods to research community when required. • Lead and participate in the department's developmental projects and interdepartmental team projects. Act as a project manager when required. • Perform other duties as assigned to meet the goals and objectives of the department and institution. • Maintains regular and predictable attendance. Minimum Education and/or Training: • Bachelor's degree in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry) or related field. • Master's degree or PhD preferred. Minimum Experience: • Minimum Requirement: Bachelor's degree with 10+ years of relevant post-degree work in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry). • Experience Exception: Master's degree with 8+ years of relevant post-degree experience (OR) PhD with 5+ years of relevant post-degree experience. • Substantial experience in at least one programming or scripting language and at least one statistical package, with R preferred. Compensation In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $125,840 - $238,160 per year for the role of Lead-Bioinformatics Research Scientist. Explore our exceptional benefits! St. Jude is an Equal Opportunity Employer No Search Firms St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.

Overview Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. Based in Seattle, Fred Hutch is the only National Cancer Institute-designated cancer center in Washington. With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world’s leading cancer, infectious disease and biomedical research centers. Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover new cures to the world’s deadliest diseases and make life beyond cancer a reality. At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. Our mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems. The Bioinformatics Analyst I-II will provide data analysis services to researchers in the Dhodapkar lab, particularly focusing on single cell genomics, integration of high-dimensional immunologic data and genome sequencing. This position requires the ability to work independently, manage multiple overlapping demands, and communicate effectively with faculty, post-doctoral fellows, and research staff on a wide range of topics in biology, analytical biochemistry, sound experimental design, and data science. The Bioinformatics Analyst works closely with Shared Resources cores, especially Genomics and Hutch Data core, to ensure that data quality is high and that users have access to advice and continuing dialog as they review results. Given the large volumes and diverse types of data generated and integrated in Bioinformatics projects, practical applied programming skills are also essential. At Fred Hutchinson Cancer Center, all employees are expected to demonstrate a commitment to our values of collaboration, compassion, determination, excellence, innovation, integrity, and respect. Responsibilities • Analyze large sequence datasets from diverse workflows including exome capture, RNA-seq, single cell sequencing, ATAC-seq, and CRISPR screens. • Work with Hutch scientists to refine computational research questions and develop analytical processes that can be applied to these genomic datasets. • Consult with researchers on sound experimental design. • Identify appropriate bioinformatics tools to meet the needs of proposed projects. • Partner with researchers who are developing novel assays to design appropriate processing and analysis workflows. • Review current literature to identify and adopt software and methodologies, making new analysis capabilities available to the team. • Provide figures and written sections to document methods and results for manuscripts, presentations, and grant applications. • Collaborate with colleagues in the Genomics Shared Resource and the Hutch Data Core to ensure the integrity and consistency of primary data, track experimental methods and metadata, define standardized analysis pipelines, and provide support as stakeholders analyze and interpret results. • Train laboratory members and collaborators on analytic workflows. • Upload and maintain datasets, workflows, and code (for example GEO, Github). • Other duties as assigned. Qualifications MINIMUM QUALIFICATIONS Bioinformatics Analyst I: • Bachelor’s degree in bioinformatics, computational biology, genetics, or related field. • Some experience in computational analysis of large, complex sequence-based molecular data sets. • Demonstrated proficiency in R and Python 3 are essential. • Familiarity with workflow and scheduling software (e.g., Slurm). • Excellent written and verbal communication skills. Bioinformatics Analyst II: • Bachelor’s degree in bioinformatics, computational biology, genetics, or related field with at least three years’ direct experience in computational analysis of large sequence-based molecular data sets. • Direct experience must include best-practice germline & somatic variant calling from exome capture data, analysis of bulk RNA-seq data with multiple contrasts, analysis of multimodal single-cell profiling data, epigenetic profiling, gene set enrichment, and integration of data across multiple modalities (e.g., epigenetic profiling and RNA-seq). • Effective use of shell scripting and significant fluency in R and Python 3 are essential. • Facility with commonly used Bioconductor packages, ggplot, tidyverse etc. • Ability to generate and customize common data visualizations (PCA plots, volcano plots, Circos plots, etc). • Familiarity with workflow and scheduling software (e.g. Slurm). • Excellent written and verbal communication skills are absolutely required. PREFERRED QUALIFICATIONS Bioinformatics Analyst I: • A year of more of direct experience in computational analysis of large, complex sequence-based molecular data sets. Bioinformatics Analyst II: • Master’s degree in bioinformatics, computational biology, genetics, or related field. • Two+ years of experience in software development, data engineering, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets. • Experience with single cell transcriptomic analyses and associated pipelines. (e.g. Seurat). • Direct experience includes whole exome sequencing, and integration of data across multiple modalities (e.g., TCR-seq, CITE-seq, ChIP-seq, ATAC-seq, and CRISPR/Cas9 knockout screens). Bioinformatics Analyst I: The annual base salary range for this position is from $77,976 to $102,211, and pay offered will be based on experience and qualifications. Bioinformatics Analyst II: The annual base salary range for this position is from $78,894 to $118,310, and pay offered will be based on experience and qualifications. Fred Hutchinson Cancer Center offers employees a comprehensive benefits package designed to enhance health, well-being, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, tuition reimbursement, paid vacation (12-22 days per year), paid sick leave (12-25 days per year), paid holidays (13 days per year), paid parental leave (up to 4 weeks), and partially paid sabbatical leave (up to 6 months). Additional Information We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to Human Resources at hrops@fredhutch.org or by calling 206-667-4700.

We are looking for a talented Ph.D. level Bioinformatics Scientist specialized in NGS data analysis, with a deep expertise in single-cell technologies and multiomics approaches. This scientist will play a key role in developing and implementing computational pipelines and tools for analyzing complex NGS datasets. As a member of our Research Bioinformatics team, you will work at the intersection of computational biology, machine learning, and biotechnology to leverage innovative algorithms and analytical methods to support collaborative research initiatives and drive scientific discoveries and biotech innovations. Primary Responsibilities: Develop Computational Pipelines & Tools for Single-Cell and Spatial Transcriptomics Analysis: Build, optimize, and deploy scalable and reproducible pipelines for the analysis of single-cell NGS datasets, including scRNA-seq, spatial transcriptomics, and single-cell methylation sequencing, ensuring scalability, high-quality results and novel biological insights Establish Analytical Capabilities for Multiomics Integration: Develop and deploy tools for the integration and analysis of diverse omics data types—such as genomics, transcriptomics, epigenomics (including DNA/RNA modifications, chromatin accessibility, and 3D genome architecture)—to support a holistic understanding of complex biological systems and drive research hypothesis generation. Leverage Machine Learning for NGS Data Interpretation: Apply and develop state-of-the-art machine learning algorithms to enhance data interpretation, increase analytical throughput, and uncover novel biological patterns in large-scale NGS datasets. Collaborate Cross-Functionally to Support NGS-Based Research Projects: Work closely with wet-lab scientists, project leads, and other computational team members to analyze and interpret experimental data, provide expert bioinformatics support, and contribute to research planning and strategy. Publication & Thought Leadership: Contribute to the publication of results in peer-reviewed journals and conferences. Present findings and methodologies to both internal and external stakeholders. Required Qualifications and Experience: Education Ph.D. in Bioinformatics, Computational Biology, Computer Science, Genomics, or a related field. Technical Expertise Proven experience in NGS data analysis, Experience in single-cell sequencing technologies (e.g., scRNA-seq, single-cell methylation sequencing) and data analysis is highly desired. Strong background in computational pipeline development using languages such as Python, R, or similar. Experience with multiomics integration, spatial transcriptomics, and related advanced sequencing technologies is highly desirable. Solid understanding of machine learning techniques, particularly in the context of biological data analysis (e.g., clustering, dimensionality reduction, predictive modeling). Experience with software development practices (e.g., version control, testing, documentation) is preferred Analytical Skills Extensive experience with bioinformatics tools, software packages, and databases used for genomic analysis Ability to handle large-scale, high-dimensional datasets and apply statistical methods to extract meaningful insights. Collaboration & Communication Excellent collaboration skills, with the ability to work effectively in multidisciplinary teams. Strong written and verbal communication skills to present complex analytical concepts to both technical and non-technical audiences. Equal Opportunity Employer, including disabled/veterans New England Biolabs is committed to fostering a diverse and inclusive community. As an Equal Employment Opportunity employer, New England Biolabs considers applicants for employment without regard to and does not discriminate on the basis of any category protected under applicable federal, state, or local laws and regulations. More in-depth details of EEO are available here. Information regarding New England Biolabs' commitment to Diversity, Equity, and Inclusion can be found here. New England Biolabs is a participating employer in the Employment Verification (E-Verify) program. If you need an accommodation for any part of the employment process because of a medical condition or disability, please send an email to hr@neb.com or call 978-927-5054 to let us know the nature of your request. Employment at NEB offers a challenging and creative work environment in a state-of-the-art research and production facility, with a team of exceptional scientists and professional staff. The NEB culture emphasizes personal and professional growth through creativity, teamwork, respect and responsibility, while maintaining a casual campus-like working environment. Our diverse and talented team of scientists enjoy a collaborative research environment with much of the freedom and intellectual challenge of academia. Our unique corporate philosophy encourages dialogue and innovation. NEB’s philosophy can be distilled down to three core values: passion, humility and being genuine.

At Quest, we are on a continuous journey of discovery and development. It’s this attitude that has made us an industry leader and the #1 Diagnostic Lab in the US. For those joining us, we offer exciting and fast-moving career opportunities where you can affect change at a rate unheard of in many organizations of our size and scope. While we invest in and develop technology to drive our innovations, our ongoing success relies on our people. Quest Diagnostics Specialty Genetics products provide specific answers that clinicians need to deliver the appropriate diagnostic and prognostic care to their patients. 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. Bioinformatics, US Operations – the role 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 Operations group, part of the Research and Development organization, in Advanced Diagnostics based in Marlborough, MA. 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 Operations group supports, hones, and executes the processes defined by our Engineering and Lab Operations groups with emphasis on compliance and continuous improvement. While coupled tightly to regulation through standards in validation, documentation, and data retention, the group is an integral part of the development cycle of our analysis workflows and visualization. This position is 100% remote and the professional must be located in the US. • Execute and improve sequence analysis workflows and automation • Track, troubleshoot and mitigate issues encountered in processing production samples • Assist in planning and development of solutions to recurring issues to be merged back into development branch maintained by the Engineering group • Develop web-based results display and dashboards for clinical geneticists, medical directors and operations lab personnel providing clarity in our process • Generate, wrangle, merge and glean information from varied and complex data sets Design and implementation of RESTful APIs linked to various systems including LIMS, AWS job runners and other systems necessary for data processing and execution • Design and perform validation, testing, and production deployment of systems and software to standardize processes across all Quest Diagnostics genetic testing labs • Design and perform validation analysis for new genomic testing products. • Support production day-to-day operations • Write and maintain production documentation for compliance and supportability of all bioinformatics processes in production environment • Work directly with medical/quality/compliance to identify, track, resolve and report on any relevant quality-related issues • Produce charts and visualization for dashboards, reporting, and in support of data driven hypothesis testing • Perform LIS support duties (maintain database for user, tests, clients….) • Support interface, integration, and testing projects • Utilize a Software Development Life Cycle documentation procedure • Be an active team player and support the group • Accept input on solutions from other colleagues and teams • * 5 years experience using formal programming and scripting languages • 5 years experience working on a Linux command-line to process, parse, and merge varied data sets • 2 years experience working with web services and implementing API communications (REST, SOAP, etc.) • 3 years experience in a distributed HPC environment (cluster, cloud) • Knowledge and understanding of genomics, next-generation sequencing, and bioinformatics • Experience developing and testing software • Experience with source control in a development, testing, and production environment • Automated testing experience; CI/CD experience preferred • Knowledge of CAP documentation requirements a plus • Experience communicating technical results and data is desirable Current tech stack experience is a plus Examples: • Programming Languages: Python, PERL, Groovy, javascript, terraform • Web Frameworks: Python Flask, React Native, Bootstrap • Environments: R Statistical Language, iPython, Jupyter • Visualization: Plotly, matplot lib, ggplot2/tidyverse, Tableau, d3.js • Database: SQL (e.g., postgress, MySQL), MongoDB • Cloud Computing: AWS • Infrastructure management: terraform • Pipeline Workflow Manager: Nextflow • Source Control: Git • CI/CD: Gitlab, AWS CDK • Containerizing: Docker • Microsoft UI: Access, VBA, Macros Education: Bachelor’s Degree - Required Master’s Degree or PhD - Preferred Equal Opportunity Employer: Race/Color/Sex/Sexual Orientation/Gender Identity/Religion/National Origin/Disability/Vets or any other legally protected status.

Note: Hybrid (3 days on site, 2 days Remote) Job Description We are seeking a highly skilled Bioinformatics Data Analyst to join our team. The ideal candidate will be responsible for retrieving, managing, and visualizing large datasets, while developing custom applications and the integration of laboratory equipment. Minimum Skills • Basic understanding of molecular biology, protein biochemistry, genetics. • Employ bioinformatics tools and software such as Snapgene, Geneious, Genedata Biologics, Pipebio, or Benchling for data analysis and management • Proficient in MS Excel and programming skills in languages such as (SQL, Python, or R) • Expert in data retrieving, wrangling and management of large datasets from databases. • Ability to create dynamic and interactive data visualizers (prior experience with any of these PowerBI, Tableau, D3.js and Spotfire) • Working experience with related libraries in creating custom applications (Pandas, NumPy, SciKit-lern, Matplotlib, Seaborn and Streamlit) • Prior experience with programming and integrating laboratory equipment for data capture • Knowledge of the antibody or genetic medicine drug discovery and development process Qualifications Required • B.S. in a science discipline or bioinformatics and 3+ years of experience or M.S. in a scientific discipline or bioinformatics and 2+ years of experience. • A degree in Bioinformatics, Computational Biology, Data Science, Computer Science, or a related field is preferred. • Proven experience in data analysis, visualization, and the development of bioinformatics applications. • Prior experience with programming and integrating laboratory equipment for data capture About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com. US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

A Bioinformatics Research Scientist position is immediately available under the supervision of Dr. Zhaoming Wang in the Department of Epidemiology and Cancer Control at St. Jude Children’s Research Hospital. Wang Lab is seeking a talented and highly motivated data scientist to apply established and innovative approaches towards analyzing multi-omics data to discover potential biomarkers for risk of chronic health conditions including second cancers among long-term survivors of childhood cancer. In addition to large-scale molecular profiling data encompassing genome, epigenome, and transcriptome, we also have access to rich longitudinal clinical data from the two largest cohorts of childhood cancer survivors: St. Jude Lifetime Cohort and Childhood Cancer Survivor Study. Strong expertise in R and/or Python programming is required. Extensive working experience in next-generation sequencing analysis and domain knowledge in one or more of bioinformatics, biostatistics and genetic/molecular epidemiology are highly desired. The ability to work independently and in a team-setting (multi-tasking and effective communications) is also essential. The Wang Lab is currently focused on cancer genetics (pediatric cancers, subsequent adult cancers), aging biomarkers (telomere, epigenetic age, clonal hematopoiesis), and multi-omics integrative analysis (including single-cell approaches). Job Responsibilities: • Work closely with Dr. Wang and others with the overarching goal of contributing to the clinical research by melding multi-omics data with clinical/phenotypic data for discoveries in the area of precision preventive medicine for survivorship care. • Contribute to multi-omics data management and primary sequencing data analysis by setting up/improving automation pipeline with established computational methods. • Lead the development of analytical workflows (secondary analyses) for assigned research projects. • Learn new bioinformatics techniques for data mining in molecular phenotyping (e.g., deconvolution analysis, mosaicism detection, HLA imputation) • Contribute to the preparation and submission of manuscripts for publication. • Present to collaborators and team members to report scientific discoveries and educate researchers about relevant methods, software or scientific results. • Perform other duties as assigned to meet the goals and objectives of the department and institution. Minimum Education and/or Training: • Bachelor's degree in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry) or related field. • Master's degree or PhD preferred. Minimum Experience: • Minimum Requirement: Bachelor's degree with 6+ years of relevant post-degree work in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry). • Experience Exception: Master's degree with 4+ years of relevant post-degree experience (OR) PhD with no experience. • Experience in at least one programming or scripting language and at least one statistical package, with R preferred. Compensation In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $86,320 - $154,960 per year for the role of Bioinformatics Research Scientist - Dr. Zhaoming Wang. Explore our exceptional benefits! St. Jude is an Equal Opportunity Employer No Search Firms St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.