Bioinformatics Jobs

Payroll Title: BIOINFORMATICS PROGR 1 Department: PEDIATRICS Hiring Pay Scale $69,500.00 - $96,500.00 / Year Worksite: La Jolla Appointment Type: Career Appointment Percent: 100% Union: Uncovered Total Openings: 1 Work Schedule: Days, 8 Hour Shifts, Monday - Friday #136064 Bioinformatics Programmer 1 Filing Deadline: Tue 8/5/2025 Apply Now UC San Diego values equity, diversity, and inclusion. If you are interested in being part of our team, possess the needed licensure and certifications, and feel that you have most of the qualifications and/or transferable skills for a job opening, we strongly encourage you to apply. UCSD Layoff from Career Appointment: Apply by 7/24/2025 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor. Special Selection Applicants: Apply by 8/05/2025. Eligible Special Selection clients should contact their Disability Counselor for assistance. DESCRIPTION Department of Pediatrics is one of the largest departments within the UCSD School of Medicine with comprehensive clinical programs, extensive basic science and clinical research, and diverse educational opportunities for students, residents and fellows. The internationally renowned faculty play a major role in medical and graduate student training, providing educational and programmatic offerings that span several disciplines and provide diversity to meet the interests of a broad spectrum of students and scholars. More than one hundred trainees at the graduate student and postdoctoral level, as well as more than 300 professional, research and administrative staff who along with the department administrators interact closely with the faculty. The diverse mix of ages, backgrounds, and talents creates a robust work environment with challenging career opportunities and a commitment to continued growth potential. We constantly seek to recruit highly motivated, technologically-advanced and interested individuals to become a part of our dynamic cutting-edge research, clinical, and educational environment. Under the direct supervision of the PI, the incumbent will perform programming and/or assist in design and analysis of systems to decipher the role of genetic variation on human traits. Projects will focus on investigation of structurally complex regions of the genome associated with human diseases using a variety of techniques including graph-based genome representations. The incumbent will be responsible for maintaining computational pipelines for processing, analyzing, and visualizing large volumes of whole genome sequence data and analysis of large biobanks. Pipelines will consist of open source as well as custom software. The incumbent will also assist with the development and maintenance of web applications. Assists with packaging custom software as open source tools. Under direct supervision, applies professional bioinformatics concepts and computational procedures to complete small projects or portions of projects. Works on assignments of limited scope and complexity. Follows standard programming procedures to analyze situations and data from which answers can be readily obtained. QUALIFICATIONS • Four (4) years of related experience, education/training, or Bachelor's degree in biological science, computational / programming. • Basic knowledge of bioinformatics methods and data structures. • Basic knowledge of applications programming and web development. Familiarity with C/C++, Python, R with the ability to work comfortably in a Linux environment. • Basic knowledge of databases. • Basic project management skills. • Basic knowledge of modern biology and applicable field of research. • Interpersonal skills in order to work with both technical and non-technical personnel at various levels in the organization. Demonstrated interpersonal, written and verbal communication skills and ability to interact effectively and tactfully with individuals and groups, both within and outside the University. • Ability to communicate technical information in a clear and concise manner. • Self motivated, able to learn quickly, meet deadlines and demonstrate problem solving skills. • Basic knowledge of application and data security concepts. • Demonstrated ability to maintain high level of confidentiality in handling files and data and clear understanding of the Universities data privacy and acceptable use policies and procedures. • Ability to assist with virtual machines and designing and creating web applications in HTML, CSS, and Javascript. • Ability to assist with HPC, including job submission and resource management. • Familiarity with Github or a related platform for code maintenance and collaboration. PREFERRED QUALIFICATIONS • Understanding of whole genome sequencing using various technologies (e.g. short and long reads) and data structures including pangenome graphs. • Demonstrated ability to work in cloud computing environments, such as Amazon Web Resources. SPECIAL CONDITIONS • Employment is subject to a criminal background check. Pay Transparency Act Annual Full Pay Range: $69,500 - $123,500 (will be prorated if the appointment percentage is less than 100%) Hourly Equivalent: $33.29 - $59.15 Factors in determining the appropriate compensation for a role include experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. The Hiring Pay Scale referenced in the job posting is the budgeted salary or hourly range that the University reasonably expects to pay for this position. The Annual Full Pay Range may be broader than what the University anticipates to pay for this position, based on internal equity, budget, and collective bargaining agreements (when applicable). Apply Now If employed by the University of California, you will be required to comply with our Policy on Vaccination Programs, which may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements. If applicable, life-support certifications (BLS, NRP, ACLS, etc.) must include hands-on practice and in-person skills assessment; online-only certification is not acceptable. UC San Diego Health Sciences is comprised of our School of Medicine, Skaggs School of Pharmacy and Pharmaceutical Sciences, The Herbert Wertheim School of Public Health and Human Longevity Science, and our Student Health and Well-Being Department. We have long been at the forefront of translational - or "bench-to-bedside" - research, transforming patient care through discovery and innovation leading to new drugs and technologies. Translational research is carried out every day in the hundreds of clinical trials of promising new therapies offered through UC San Diego Health, and in the drive of our researchers and clinician-scientists who are committed to having a significant impact on patient care. We invite you to join our team! Applications/Resumes are accepted for current job openings only. For full consideration on any job, applications must be received prior to the initial closing date. If a job has an extended deadline, applications/resumes will be considered during the extension period; however, a job may be filled before the extended date is reached. To foster the best possible working and learning environment, UC San Diego strives to cultivate a rich and diverse environment, inclusive and supportive of all students, faculty, staff and visitors. For more information, please visit UC San Diego Principles of Community. The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law. For the University of California’s Anti-Discrimination Policy, please visit: https://policy.ucop.edu/doc/1001004/Anti-Discrimination UC San Diego is a smoke and tobacco free environment. Please visit smokefree.ucsd.edu for more information. UC San Diego Health maintains a marijuana and drug free environment. Employees may be subject to drug screening.

Overview At the heart of QIAGEN’s business is a vision to make improvements in life possible. We are on an exciting mission to make a real difference in science and healthcare. We are still the entrepreneurial company we started out as and have today achieved a size where we can bring our full power to many initiatives and to our presence across the globe. Our most valuable asset are our employees – more than 6000 in over 35 locations around the world. Our ambition is to ensure we have outstanding and passionate people working in the best teams and we are constantly looking for new talent to join us. There are few players who have shaped the world of modern science and healthcare as much as QIAGEN, and we have only just started. If you are looking to advance your career, are seeking new challenges and opportunities, enjoy working in dynamic and international, diverse teams and want to make a real impact on people’s lives, then QIAGEN is where you need to be. Join us. At QIAGEN, you make a difference every day. Position Description QIAGEN Digital Insights is a leading provider of bioinformatics software and knowledge bases used by life scientists to gain insight from the molecular information in their biological samples. We have developed industry-leading software tools for analysis and reporting of biological data. We are passionate about our users, products, and our vision, and are seeking smart, motivated engineers and scientists who are eager to join our team in creating software that helps improve people's lives. Our mission is to make improvements in life possible. We accomplish this by designing tools used in labs all over the world to facilitate scientific discovery and progress, focused on genomics. As a Bioinformatics Engineer in the Content Development team, you will play a critical role in maintaining and extending QIAGEN’s biomedical knowledge base by integrating new knowledge from public data sources. You will also contribute to data quality efforts by defining and implementing test plans, helping to ensure the accuracy and completeness of content delivered to our downstream application teams. Responsibilities - Develop and maintain bioinformatics software tools and pipelines to ingest, transform, and export vast amounts of biomedical data. - Maintain and extend a complex biomedical ontology spanning the entire range of biological entities and processes relevant to life science R&D and clinical genomics. - Collaborate with product management and application software developers to investigate new content sources and define requirements for content development projects. - Contribute to data quality efforts by defining and implementing test plans, helping to ensure the accuracy and reliability of the biomedical knowledge base. Position Requirements - Undergraduate degree in computer science, molecular biology, bioengineering, or a related M.S. or Ph.D. degree preferred. - 5+ years of industry experience in bioinformatics, including experience writing production-quality code for bioinformatics tools and pipelines. - Strong software development fundamentals, with experience in multiple general-purpose programming languages, including Python, and comfort operating in a Linux environment. Competence with software engineering best practices such as version control (git), code review, unit and integration testing, documentation, and collaborative development. - Experience with multiple data modeling paradigms, including relational databases (SQL) and non-relational approaches such as graph databases (e.g., AWS Neptune, Neo4j). - Hands-on experience with biomedical ontologies and related technologies such as RDF and OWL. - Familiarity with common biological databases such as NCBI, UniProt, Ensembl. Personal Requirements - Location: Redwood City, California (will need to come onsite). The estimated base salary range for this position is $100,000 - $150,000. Compensation will be based on the candidate’s experience, skills, geographic location, and other job-related factors. In addition to base salary, we offer a total compensation package that includes a bonus plan and generous benefits. What we offer At the heart of QIAGEN are our people who drive our success. We act with passion, always challenging the status quo to drive innovation and continuous improvement. We inspire with our leadership and make an impact with our actions. We create a collaborative, safe and engaging workplace which forms the basis for high performing individuals and teams. We drive accountability and entrepreneurial decision-making and want you to excel your growth and shape the future of QIAGEN. QIAGEN is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), sex stereotyping (including but not limited to assumptions about a person’s appearance or behavior, gender roles, gender expression, or gender identity), gender, gender identity, gender expression, national origin, age, mental or physical disability, ancestry, medical condition, marital status, military or veteran status, citizenship status, sexual orientation, genetic information, or any other status protected by applicable law. QIAGEN complies with applicable laws regarding the confidentiality of employee health information and the reasonable accommodation of individuals with disabilities and/or sincerely held religious beliefs. Candidates who require accommodation should contact Benefits@QIAGEN.com. This policy is part of QIAGEN’s ongoing efforts to support public health efforts and to ensure the safety and-well-being of its employees, customers, business partners, and community.

Work Schedule Standard (Mon-Fri) Environmental Conditions Laboratory Setting, Office Job Description As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer. Discover Impactful Work: We are seeking to hire a highly motivated Bioinformatics Scientist with hands-on experience in multi-omics integration and interpretation. The successful candidate will join a multi-functional team and help maintain, support and update multi-omics pipelines, with a particular focus on integrating proteomics and metabolomics. The aim is to generate new knowledge about upstream bioprocessing to guide the development of new cell culture products that support the commercial production of novel biologic therapeutics. A day in the Life: • Provide bioinformatics support and manage omics data analysis, documentation, and report preparation for scientific services and research projects. • Leverage bioinformatics tools including machine learning models and implement knowledge bases to provide actionable insights for cell culture media development and bioproduction process optimization. • Under minimal supervision, the successful candidate will be expected to perform data analysis in experimental data, interpretate analysis results, and communicate and present findings in team meetings. • Contribute to the development of innovative omics approaches and computational models to solve biological problems related to bioproduction processes. Keys to Success: Education • MS in Computational Biology, Bioinformatics, Analytical Chemistry, or related field (PhD is preferred) Experience • At least three (3) years of related experience • Experience in LC-MS/MS based proteomics and metabolomics data analysis and interpretation • Experience with pathway enrichment, network analysis and multi-omics (proteomics and metabolomics) integration. • Experience in utilizing machine learning and statistical models. • Proficiency in programming languages such as Python or R Knowledge, Skills, Abilities • Knowledge in molecular and cellular biology. • Strong understanding of statistical inference and machine learning techniques. • Present data for review, group discussions, and team meetings • Multi-task effectively and prioritize multiple projects with guidance. • Proven track record that could work efficiently both independently and as part of a team. • Excellent verbal and written communication skills. • Ability to analyze, interpret and summarize scientific results in a clear, concise, and accurate manner. • Ability to work in a cross functional and interdisciplinary team. Preferred Qualifications • Experience working in cell culture media development. • Statistical Design of Experiment (DOE) experience. • Experience in glycomics at the peptide and protein level. Benefits We offer competitive remuneration, annual incentive plan bonus, healthcare, and a range of employee benefits. Thermo Fisher Scientific offers employment with an innovative, forward-thinking organization, and outstanding career and development prospects. We offer an exciting company culture that stands for integrity, intensity, involvement, and innovation! Compensation and Benefits The salary range estimated for this position based in New York is $92,000.00–$115,000.00. This position may also be eligible to receive a variable annual bonus based on company, team, and/or individual performance results in accordance with company policy. We offer a comprehensive Total Rewards package that our U.S. colleagues and their families can count on, which includes: • A choice of national medical and dental plans, and a national vision plan, including health incentive programs • Employee assistance and family support programs, including commuter benefits and tuition reimbursement • At least 120 hours paid time off (PTO), 10 paid holidays annually, paid parental leave (3 weeks for bonding and 8 weeks for caregiver leave), accident and life insurance, and short- and long-term disability in accordance with company policy • Retirement and savings programs, such as our competitive 401(k) U.S. retirement savings plan • Employees’ Stock Purchase Plan (ESPP) offers eligible colleagues the opportunity to purchase company stock at a discount For more information on our benefits, please visit: https://jobs.thermofisher.com/global/en/total-rewards

Paid bioinformatics annotator internships are available at MindSpec, Inc. We are currently developing additional interactive database modules for AutDB/SFARI Gene. Interns will be trained to extract data from scientific literature using controlled vocabularies. Qualifications: We are seeking talented and motivated individuals interested in working in a multi-disciplinary team. Responsibilities include participating in the annotation of disease-related information for data mining and visualization. The position offers an opportunity to work in the rapidly evolving area of multi-factorial disease biology in a flexible, dynamic research environment. Applicants must have or be pursuing an B.S. degree or higher in Bioinformatics/Molecular Biology/Neurobiology, or related field, with a strong knowledge of genetics, animal models or neuroimaging. Applicants should also have excellent written and oral communication skills; display good ability to work with others, and the ability to conduct assignments on multiple projects under tight deadlines. How to Apply: Please send cover letter and curriculum vitae to job@mindspec.org.

Overview ATCC’s Sequencing and Bioinformatics Center is continuing to expand and is looking for a new remote Bioinformatician to join their team. The Bioinformatician is responsible for using bioinformatics tools to process, analyze, and interpret biological ‘omics data and NGS. They will support both internal ATCC teams and external client bioinformatics needs. The Bioinformatician will help visualize and present complex data and will contribute to the development and content of the ATCC Genome Portal spanning a wide range of microbial data. We are seeking a Bioinformatician with genomics and whole genome sequencing experience familiar with computational biology software in a Linux cluster environment. Apply today for immediate consideration. #LI-Remote Responsibilities • Run and assist in writing and custom bioinformatics scripts using existing published tools and occasionally tools developed for purpose, summarize the results in a digestible manner and deliver the information using established reporting procedures. • Leverage current ML/AI data science techniques to enhance analysis and expand team expertise having a familiarity with ML libraries (e.g. Scikit-learn, Tensorflow, PyTorch, Biopython) as well as biological models (e.g. DNA/ProteinBERT).• Support staff with writing, maintaining, and improving production scripts which automate processes and analyses related to NGS.• Support the publication of WGS and varied data types to the ATCC Genome Portal by continuous development of routine data management and processing to ensure timely processing and adhering to defined quality assurance criteria.• Collaborate with cross-functional teams to support research and development projects supporting experimental design and data interpretation. Utilize data visualization methods to effectively communicate complex biological data insights.• Work within departmental code style guidelines while also contributing to their evolution and participate in regularly scheduled code reviews to ensure code quality. Qualifications The expected salary range for this position is $80,000 to $85,000 annually. Actual compensation will be determined based on experience and qualifications as well as internal equity and alignment with market data. In addition to base salary, this role may be eligible for additional incentive compensation including regular merit increases and the corporate bonus program. Education and Experience: • Bachelor's degree and 2-5 years' experience or equivalent experience. • Master’s degree 0-3 years of relevant experience. • Degrees should be in Computer Science, Bioinformatics, Data Science, or Computational Biology and similar fields. Knowledge, Skills and Abilities: • Experience with bioinformatics tools and databases such as BLAST, Ensembl, and UCSC Genome Browser. • Familiarity with cloud computing platforms like AWS or Google Cloud for bioinformatics applications. • Strong programming skills in languages such as Python, R, or Perl. • Ability to create various types of visualizations, including line plots, bar charts, histograms, scatter plots, and heat maps, to represent data trends, distributions, and correlations. • Strong understanding of next-generation sequencing (NGS). • Good interpersonal and communication skills. Preferred Qualification: • Experience with tools and libraries such as RShiny, RMarkdown, Python, Jupyter Notebooks, and ggplot2 for creating interactive and static visualizations. • Familiarity with Linux high-performance computing environments. • Experience with machine learning techniques and their application to biological data. Benefits We Invest in You • Health & Wellness: • Comprehensive medical coverage and company paid Life Insurance, Disability Insurance & AD&D • Work life balance with Paid Holidays and PTO • Fitness and cell phone subsidies, and additional benefits such as Aflac, legal services, and pet insurance • Employee Assistance Program offering around-the-clock counseling • Financial security: • 401(a) (6% employer contribution) and 403(b) (2% match) retirement plans • Exceptional career advancement opportunities, recognition, and rewards • Corporate bonus program • Mission Focused: • Non-profit organization supporting critical life science research • We give scientists the tools they need to make discoveries that improve and save lives • Contribute to community involvement and social responsibility Join ATCC, where we fuel your success, well-being, and development. We're a mission-focused non-profit Equal Opportunity Employer, celebrating a century of supporting global public health. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Shape the future of science with us.

NYU Grossman School of Medicine is one of the nation's top-ranked medical schools. For 175 years, NYU Grossman School of Medicine has trained thousands of physicians and scientists who have helped to shape the course of medical history and enrich the lives of countless people. An integral part of NYU Langone Health, the Grossman School of Medicine at its core is committed to improving the human condition through medical education, scientific research, and direct patient care. At NYU Langone Health, equity and inclusion are fundamental values. We strive to be a place where our exceptionally talented faculty, staff, and students of all identities can thrive. We embrace inclusion and individual skills, ideas, and knowledge. For more information, go to med.nyu.edu, and interact with us on LinkedIn, Glassdoor, Indeed, Facebook, Twitter and Instagram. Position Summary: We have an exciting opportunity to join our team as a Bioinformatics Analyst. In this role, the successful candidate is responsible for collaborating with Principal Investigators (PI) and working independently within the scientific framework of the PI's laboratory. NYU Langone Health Medical Center, a world-class, patient-centered, integrated, academic medical center, and one of the nations premier centers for excellence in clinical care, biomedical research and medical education, is seeking a highly motivated, enthusiastic individual to join the Villanueva Lab at the Perlmutter Cancer Center. The successful candidate will be responsible for genome analysis, algorithm development, and innovative cutting-edge cancer research for biomarker development in liver cancer. Job Responsibilities: • Analyze high-throughput sequencing data (e.g., RNA-seq, WGS, WES, ChiP-seq, Single-cell RNAseq and Spatial genomics). • Develop and maintain bioinformatics pipelines for data processing and analysis. • Provide analytical support to other members of the Liver Cancer Program at PCC. • Assist in the design, implementation and execution of novel algorithms in lab centered and collaborative research projects. • Integrate and visualize multi-omics datasets to support biomarker research and discovery.Integrate and visualize multi-omics datasets to support biomarker research and discovery. • Contribute to publications, grant proposals, and presentations. • Design, manage, and maintain databases to ensure data integrity, accessibility, and security. • Able to work independently. • Other duties as assigned. Minimum Qualifications: To qualify you must have a B.S. in mathematics, biological sciences, computer science or related disciplines. Experience in Unix/Linux systems including HPC environments. Scripting languages: Python or Perl. Statistical packages: R (preferred) or Matlab. Excellent communication skills with proficiency in written and oral English. Preferred Qualifications: Strong biostatistical foundations (regression, survival analyses, longitudinal data analysis, biomarker development and calibration. Experience with common genomics tools (bwa, samtools, bcftools, bedtools, Genomic Ranges) and file formats (bam, vcf, bigwig, bed, etc.). Experience working with clinical or health-related data. Experience working with RedCap. Familiarity with data standards such as CDISC, SDTM, or ADaM. Expertise in meta-analyses. Experience in version control (Git). Experience with bioinformatics tools and databases (e.g., BLAST, GATK, Bioconductor, Ensembl). Experience with relational databases (e.g., MySQL). Qualified candidates must be able to effectively communicate with all levels of the organization. NYU Grossman School of Medicine provides its staff with far more than just a place to work. Rather, we are an institution you can be proud of, an institution where you'll feel good about devoting your time and your talents. At NYU Langone Health, we are committed to supporting our workforce and their loved ones with a comprehensive benefits and wellness package. Our offerings provide a robust support system for any stage of life, whether it's developing your career, starting a family, or saving for retirement. The support employees receive goes beyond a standard benefit offering, where employees have access to financial security benefits, a generous time-off program and employee resources groups for peer support. Additionally, all employees have access to our holistic employee wellness program, which focuses on seven key areas of well-being: physical, mental, nutritional, sleep, social, financial, and preventive care. The benefits and wellness package is designed to allow you to focus on what truly matters. Join us and experience the extensive resources and services designed to enhance your overall quality of life for you and your family. NYU Grossman School of Medicine is an equal opportunity employer and committed to inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration. We require applications to be completed online. View Know Your Rights: Workplace discrimination is illegal. NYU Langone Health provides a salary range to comply with the New York state Law on Salary Transparency in Job Advertisements. The salary range for the role is $67,771.14 - $76,404.80 Annually. Actual salaries depend on a variety of factors, including experience, specialty, education, and hospital need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits. To view the Pay Transparency Notice, please click here

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. 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

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. 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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.