Bioinformatics Jobs

The Epigenetics Group, a part of the Center for Applied Bioinformatics (CAB) at St. Jude Children's Research Hospital, is seeking a highly motivated and creative Bioinformatics Research Scientist or Lead Bioinformatics Analyst. This position involves developing and applying innovative analytical approaches to uncover the mechanisms driving pediatric cancers and other human diseases. By contributing to a wide range of projects and assisting researchers across St. Jude, you will make a meaningful impact on science and, ultimately, on the care and survival of pediatric cancer patients. In addition to performing diverse analytical tasks, we encourage team members to engage in pipeline development, explore novel trends in the field, stay updated on the latest methods, and even create new methodologies—provided these efforts align with our ultimate goal: “Finding cures. Saving children.™”. Our work often leads to high-profile publications, offering significant opportunities for career growth and scientific contributions. What We Offer: CAB provides a highly interactive and collaborative environment with opportunities to work alongside experts in transcriptomics, genomics, and genetics, as well as across basic and clinical research departments. Resources include but are not limited to: Access to St. Jude's high-performance computing clusters and cloud computing environments.Cutting-edge sequencing platforms, such as long-read sequencing technologies, single-cell DNA/RNA sequencing, and spatial transcriptomics. Innovative visualization tools and highly automated analytical pipelines powered by GPU technology. Mentorship from experienced scientists in data analysis and management, with an expertise in delivering high-quality results for competitive projects. Opportunities to participate in and present at scientific conferences, enhancing your expertise and expanding your network. CAB members have opportunities to contribute to high-impact research, co-author prominent publications, and file patents for novel biomarker discoveries or innovative methods in clinical diagnosis and treatment. Job Responsibilities: • Independently perform basic and advanced level statistical analysis, algorithm implementation, programming from a variety of biotechnology platforms, and oversee quality check. • Design and prepare materials and courses for training on various bioinformatics software and databases, computing, data mining, and analysis. • Act as a liaison between end-users, software developers, system designers, and different departments. • Establish protocols or best practices for common research tasks and SOP, evaluate products and solutions to make recommendations, and integrate solutions. • Lead the development, implementation, installation, and maintenance of databases; coordinate data collection, database implementation, and usage and any hardware and software related to database collection. • Develop programs to assist in the analysis of data within the databases. • Assist in planning, coordinating, and organizing projects across departments and delegate tasks based on priority, expertise, and capacity. • 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 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. Qualifications: Ideal candidates will have: • Experience building, maintaining and optimizing analysis pipelines or installing tools for high-throughput next-generation sequencing data analysis (e.g., ChIP-Seq, ATAC-Seq, RNA-Seq, Hi-C, HiChIP, or Capture-C) in Linux/Unix environments. • A solid understanding of basic epigenetic gene regulation mechanisms, like histone modifications, chromatin accessibility, DNA methylation or the 3D genome. • Very good programming skills in Bash scripting language and Python (preferred) or R programming languages. • Experience with version control systems such as Git. • Strong communication and project managements skills. • Experience with deep learning and Nextflow is a plus. This is an exceptional opportunity to gain experience in diverse areas of bioinformatics, contribute to cutting-edge research, and play a vital role in advancing St. Jude’s mission. Responsibilities • Specific responsibilities may include NGS data quality control, multi-omics integrative analyses, data visualization, and the development and evaluation of analytic tools. Excellent communication skills are essential. You will collaborate closely with various St. Jude Principal Investigators and their research teams to provide standardized or customized analyses, utilizing St. Jude's high-performance computing clusters and cloud computing environments. Additional Requirements: • Proficiency in programming (e.g., Python, R, C/C++, Perl, or other programming/scripting languages) in Linux/Unix environments is required. • Proven ability to work effectively with a wide range of users. • Demonstrated experience in analyzing and interpreting epigenetics data. • Proven experience conducting independent data analyses and managing projects is required. • Experience providing end-user support and training is required. 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- Epigenetics Group. 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.

Job Description We are seeking a motivated Bioinformatics Scientist to join our cross-function team and support target identification and evaluation efforts. The successful candidate will work in synergy with cross-functional and inter-organizational teams of research scientists to apply, refine, and expand established workflows for effective multi-omic data curation and analysis. This role will have a heavy emphasis on the curation and analysis of genetics data. Roles & Responsibilities Master's degree with 2+ years experience or PhD in quantitative sciences (Bioinformatics, Computer Science, Computational Genetics, Mathematics, Statistics, or a related field). Experience with genome-wide association studies, particularly fine mapping and QTL colocalization from GWAS summary data is a plus. Familiarity with methods to prioritize genes per GWAS locus given multiple lines of evidence is a plus. Familiarity with rare disease genetics resources and biomedical ontologies is also a plus. Demonstrated experience in the analysis and integration of NGS data. Familiarity with the construction and execution of bioinformatics workflows. Strong proficiency in R and/or Python programming for bioinformatics workflows. Knowledge and proficiency in basic statistical concepts. Proficiency in operating in a Unix/Linux and High-Performance Computing (HPC) environment. Experience with code reproducibility, e.g. managing github repositories. Prior research experience in studying immunological diseases areas is a plus. Experience with Nextflow is a plus. Skills Experience with genome-wide association studies, particularly fine mapping and colocalization from GWAS summary data is a plus. Familiarity with rare disease genetics resources and biomedical ontologies is also a plus. Ability to critically evaluate experimental design, QC and suggest improvements. Strong proficiency in R and/or Python programming for bioinformatics workflows Experience working in HPC and cloud environment.

The Bioinformatics Research Scientist performs data analysis, data visualization, statistical analysis, experimental design, database development, mathematical modeling, and novel method development. Provides bioinformatics analysis for investigators and communicates analytical process and results. The Center for Applied Bioinformatics (CAB) at St. Jude Children's Research Hospital is seeking a highly motivated Senior Bioinformatics Research Scientist to join the Transcriptomics Group. CAB is an institutional shared resource dedicated to providing state-of-the-art bioinformatics services to St. Jude investigators. Our Center collaborates with lab scientists and physician-scientists at multiple stages of their research, from study design, data analysis to preparation for presentations, grant proposals, and co-authoring manuscripts. We uphold the highest level of scientific rigor by carefully vetting and documenting all bioinformatics methods and pipelines. The successful candidate will develop and apply innovative analytical approaches to analyze & interpret new and existing multi-omic datasets obtained from both clinical and basic research lab, including bulk tumor/normal, single-cell/nucleus, and spatial-omic profiles. These analyses will contribute to understanding the underlying mechanisms driving pediatric cancers and other human diseases. The candidate will work closely with other bioinformatics personnel within CAB, playing an integral role in exciting research partnerships both within St. Jude and with external collaborators. He/she will contribute to establish the pipelines and best practice to characterize bulk or single cell RNA isoforms and noncoding RNA transcripts with long read sequencing technologies. He/she follows and adheres to best practices in structured transparent project management by tracking progress, identifying roadblocks, and proposing solutions, developing specific milestones for each research goal, and providing informative progress reports and summaries to principal investigators. The Center provides a highly interactive environment with collaborative opportunities across basic and clinical departments. You'll have access to high performance computing clusters, cloud computing environments, innovative visualization tools, highly automated analytical pipelines, and mentorship from experienced scientists. Members of this Center have the opportunities to publish high profile papers with prominent authorship depending on their intellectual contributions. The ideal candidate should have: · A PhD and extensive post-PhD experience in bioinformatics, computational biology, and data science. · A strong CV that includes high-profile publications in the field of computational biology, cancer genomics, and/or single-cell genomics. · Experience analyzing some/all the following platforms: whole-genome/exome sequencing, RNA-seq. ATAC-seq, ChIP-seq/CUT&RUN, single-cell/nucleus RNA-seq, CITE-seq, single cell multiome (ATAC+GEX), spatial transcriptomics, and long-read sequencing (e.g., PacBio and Oxford Nanopore) · Proficiency in relevant programming languages such as R and Python, preferably in a High-Performance Computing (HPC) environment. · Proficiency in tools for ensuring reproducibility of pipelines, such as workflow management systems (e.g., nextflow), and version control (e.g., git). · Proficiency in tool development, including examples documented in public repositories. · Extensive expertise in data integration and harmonization. · Proven problem-solving skills and collaborative nature in fast-paced environment. · Excellent communication and presentation skills. Job Responsibilities: • Provide research support and deliver high-quality results by formulating an efficient analytical approach with the available data. • Deliver data files, and document the analytical process. May participate in manuscript preparation at project's conclusion. • Assist with establishing and documenting protocols or best practices for common research tasks, and in the formulation of analytical plans that use the best approach to address challenging data analysis questions. • Assist in the evaluation and testing of new methods and technologies. • Contribute ideas to automate or improve existing analysis methods. Implement the improvement or work with others to do so. • Participate in the department's developmental projects and interdepartmental team projects. • 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 7+ 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 5+ years of relevant post-degree experience (OR) PhD with 2+ years of relevant post-degree experience. • Significant 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. 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.

Site Name: USA - Pennsylvania - Upper Providence, UK - Hertfordshire - Stevenage Posted Date: Apr 17 2025 Scientific Leader, Bioinformatics Engineering Do you share a desire to advance scientific knowledge and capitalise on the revolution in data, automation and predictive sciences to deliver measurable impacts on the success and progression of GSK’s medicine discovery portfolio? The Data, Automation and Predictive Sciences (DAPS) function of GSK Research Technologies focused on large-scale data generation, curation, analysis and prediction to deliver higher PTRS (Probability of Technical and Regulatory Success) assets and unlock upper quartile ambitions. Collaboration is key as Data, Automation and Predictive Sciences will only be successful by working in close collaboration with matrix partner teams within Research Technologies functions, in the Research Units (all therapeutic areas), Onyx Research Data Platform (Tech/IT), R&D AIML and Risk & Compliance. As a Scientific Leader, Bioinformatics Engineering in the Data Sciences team aligned to Target Discovery and Human Genetics & Genomics, you will collaborate with scientists across Research Technologies functions to develop and deliver high-quality, high-impact industry-leading bioinformatics solutions. You will focus particularly on delivering bioinformatics solutions to produce high value harmonized multi-modal omics data assets at industrial scale and various levels of analysis for use across the medicine discovery portfolio. This position is based 2-3 days per week at a GSK R&D site in the USA (Upper Providence, PA), in the UK (Stevenage), or in Germany (Heidelberg). This role will provide YOU the opportunity to lead key activities to progress YOUR career, these responsibilities include some of the following: • Architecting and delivering complex end-to-end bioinformatics workflows, for large-scale, performant, automated and reproducible analyses of genetic, cellular imaging and multi-omics data, to deliver harmonized multi-modal omics data packages and insights that drive portfolio and pipeline decision-making. • Designing, developing, testing, and enhancing, robust and scalable cloud-native implementations of best-in-class bioinformatics solutions for analysis and interpretation of genetics, omics, and imaging data on GSK’s Onyx Research Data Platform. • Leading a team of bioinformatics and data science professionals with responsibility for skills and capability development, career development and driving performance within the team. • Working collaboratively as a matrix leader across departments, with scientists developing novel experimental or computational methods, and with data and software engineers, to enable maturation of best-in-class methodology into production quality pipelines. • Contributing to a culture of innovation, quality, and continuous learning and improvement within the team, including mentoring or upskilling other team members and continuously evaluating bioinformatics science and technology developments for potential application at GSK. • Understanding the internal and external landscape of disease (e.g. Hepatology, Respiratory, Neuroscience) data sources, data standards, and data governance principles to build identify and create high value harmonized multi-modal omics data assets. Why you? Required Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: • PhD or MS + 3yrs professional experience in a relevant scientific discipline with a significant data sciences component. • At least 1 year experience leading a team with a demonstrated passion for driving performance, skills, capability, and career development to grow and improve impact of the team. • Minimum of 5 years professional experience, working in and leading multidisciplinary matrix teams across scientific and technical disciplines on large scale and complex database and software projects, in a continuously evolving landscape of scientific methods. • At least 5 years of experience programming and software engineering using Python (preferred) and/or R. Experience with modern software development tools / ways of working (e.g. Object-Oriented Programming, git/GitHub, DevOps tools, CI/CD, metrics/monitoring) demonstrated in a corporate setting and/or via open-source contributions • At least 3 years of experience with cloud computing (e.g. Google Cloud, AWS, Azurre, Kubernetes) and modern bioinformatics and data engineering tools (e.g. Nextflow, Docker, Spark, BigQuery). • Demonstrated experience with a range of techniques in reproducible research (e.g. code standards, data standards, FAIR data principles, profiling and optimization, and agile software development) as applied to scientific areas aligned to Target Discovery and Human Genetics & Genomics (e.g. genetics, cellular imaging, omics). Preferred Qualifications: If you have the following characteristics, it would be a plus: • Proven track record of evaluating, improving and testing, and/or developing robust scalable implementations of, methodology and algorithms for analysis and interpretation of large-scale genetics, cellular imaging, or multi-modal omics data. • Strong communication and team-working skills, influencing, and leadership skills. • Demonstrated delivery of complex and impactful projects, and coordination of multidisciplinary teams. • Demonstrated learning agility, and scientific curiosity while maintaining focus on driving greater impact in the face of ambiguity and change. #GSK_LI Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US). GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. 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Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/

Bioinformatics Analyst III (AI), MDPL, CGR Job ID: req4291 Employee Type: exempt full-time Division: Clinical Research Program Facility: Rockville: 9615 MedCtrDr Location: 9615 Medical Center Drive, Rockville, MD 20850 USA The Frederick National Laboratory is operated by Leidos Biomedical Research, Inc. The lab addresses some of the most urgent and intractable problems in the biomedical sciences in cancer and AIDS, drug development and first-in-human clinical trials, applications of nanotechnology in medicine, and rapid response to emerging threats of infectious diseases. Accountability, Compassion, Collaboration, Dedication, Integrity and Versatility; it's the FNL way. PROGRAM DESCRIPTION The Cancer Genomics Research Laboratory (CGR) investigates the contribution of germline and somatic genetic variation to cancer susceptibility and outcomes in support of the NCI's Division of Cancer Epidemiology and Genetics (DCEG), the world’s most comprehensive cancer epidemiology research group. CGR is located at the NCI-Shady Grove campus in Rockville, MD and operated by Leidos Biomedical Research, Inc. We care deeply about discovering the genetic and environmental determinants of cancer, and new approaches to cancer prevention, through our contributions to the molecular, genetic, and epidemiologic research of the 70+ principal investigators (PIs) in DCEG. Working in concert with epidemiologists, biostatisticians and basic research scientists in DCEG’s intramural research program, CGR provides the capacity to conduct genome-wide discovery studies and targeted regional approaches to identify the heritable determinants of various forms of cancer. Within CGR, the Molecular and Digital Pathology Laboratory (MDPL) is dedicated to the support of genetic and epidemiologic studies for DCEG investigators through tissue profiling and image analysis. This includes the design and analysis of high throughput molecular epidemiologic studies using various types of “omics” technologies such as AI-based histomics, proteomics (immunohistochemistry, multiplex immunofluorescence, digital spatial profiling), and somatic genomic analyses. We are seeking a highly motivated bioinformatics analyst to provide dedicated statistical support and AI model development to support large-scale epidemiological research on cancer etiology and progression through integrative analyses of risk factors and image analysis to inform prevention and clinical strategies. KEY ROLES/RESPONSIBILITIES • Coordinate with existing laboratory, project management and analytical staff to track study progress from conception (developing analytical plans and study protocols) through completion (preparation of summary reports for presentation and publication). • Execute statistical and AI efforts of epidemiologic, pathological and clinical image-based data. • Accurately maintain thorough documentation and version control of data management activities (data cleaning, harmonization, and statistical analysis). • Document all analyses and pipelines used in support of reproducible and FAIR research. • Meet expected schedules and performance expectations in a fast-paced research laboratory environment. • Support a culture of continuous improvement and accountability; contribute to troubleshooting of issues associated with assay processing. BASIC QUALIFICATIONS To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below: • Possession of a Bachelor’s degree from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) in genetics, genomics, bioinformatics, biostatistics, computer science, computational biology or another related field or four (4) years relevant experience in lieu of degree. Foreign degrees must be evaluated for U.S equivalency. • In addition to educational requirements, a minimum of five (5) years of progressively responsible related analytical or bioinformatics pipeline development experience. • Strong analytical skills and experience with statistical software applications used in public health research, such as Stata and/or R, Python, C++ (please indicate relevant software applications and degree of proficiency). • Demonstrable shell scripting skills (e.g., bash, awk, sed). • Experience working in a Linux environment (especially a HPC environment or cloud). • Experience with AI model development and validation. • Experience with risk estimation and/or prediction models using AI. • Experience with image analysis software such as Halo, QuPath, Visiopharm, Definiens, etc. (please indicate relevant software applications and level of proficiency). • Experience in the application of artificial intelligence (machine learning or deep learning) to pathology and clinical image analysis. • Careful attention to detail. • Collaborative, team-oriented approach to solving problems and achieving goals. • Strong organization skills, ability to multitask and manage time effectively. • Excellent communication skills (verbal and written). • Ability to obtain and maintain a security clearance. PREFERRED QUALIFICATIONS Candidates with these desired skills will be given preferential consideration: • Master’s degree in epidemiology, public health, data science, biostatistics, or a related field. • Familiarity with eLN and/or LIMS systems for sample and workflow tracking. • Proficiency with core statistical and bioinformatics methods (linear regression, logistic regression, eQTL analysis, LDscore regression, credible set and colocalization analysis, etc.). • Knowledge of DevOps tools and technologies, such as Docker/Singularity, GitHub for code management. • Team-oriented with demonstrated ability to self-educate in current bioinformatics techniques and resources. • Ability to multi-task in a fast-paced environment, organize and execute multiple projects in parallel both independently and as part of working groups. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, color, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available here 109,600.00 - 188,250.00 The posted pay range for this job is a general guideline and not a guarantee of compensation or salary. Additional factors considered in extending an offer include, but are not limited to, responsibilities of the job, education, experience, knowledge, skills, and abilities as well as internal equity, and alignment with market data. The salary range posted is a full-time equivalent salary and will vary depending on scheduled hours for part time positions.

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.

Why Mayo Clinic Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. You’ll thrive in an environment that supports innovation, is committed to ending racism and supporting diversity, equity and inclusion, and provides the resources you need to succeed. Benefits Highlights • Medical: Multiple plan options. • Dental: Delta Dental or reimbursement account for flexible coverage. • Vision: Affordable plan with national network. • Pre-Tax Savings: HSA and FSAs for eligible expenses. • Retirement: Competitive retirement package to secure your future. Responsibilities A Research Fellow opportunity is available under the mentorship of Dr. Arjun Athreya in the Department of Molecular Pharmacology and Experimental Therapeutics. The successful candidate will work in bioinformatics research in a multi-omic integration program. Applicants who apply should have a strong background in bioinformatics skills, as well as excellent verbal and written skills. A Research Fellow in Bioinformatics/Biostatistics (BST) will have a primary focus in developing software and research techniques and/or tools to analyze and then aid in understanding biological data. Responsibilities and skills required involve computer programming, calculating statistics related to biological information, and mathematics. A Research Fellow at Mayo Clinic is a temporary position intended to provide training and education in research. Individuals will train in the research program of a Mayo Clinic principal investigator. Qualified individuals will demonstrate the potential for research as evidenced by their training and peer-reviewed publications and should become competitive for national research grants. Proof of English proficiency is required for J-1 Short-Term Scholars, Research Scholars, Professors, Specialists, and Student Interns sponsored by Mayo Clinic. To learn more about the exciting research being done on Mayo Clinic’s campuses, please visit Research at Mayo Clinic - Mayo Clinic Research. Applicants may search for research postdoc opportunities here: jobs.mayoclinic.org/post-doctoral-jobs. Qualifications Must have a Ph.D., M.D., or equivalent doctoral degree in a field deemed relevant by the program. Research Fellow is appropriate for individuals who have completed no more than one prior postdoctoral fellowship, at Mayo Clinic or elsewhere. Exemption Status Exempt Compensation Detail $68,564 - $80,210 / year; Education, experience and tenure may be considered along with internal equity when job offers are extended. Benefits Eligible Yes Schedule Full Time Hours/Pay Period 80 International Assignment No Site Description Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. Affirmative Action and Equal Opportunity Employer As an Affirmative Action and Equal Opportunity Employer Mayo Clinic is committed to creating an inclusive environment that values the diversity of its employees and does not discriminate against any employee or candidate. Women, minorities, veterans, people from the LGBTQ communities and people with disabilities are strongly encouraged to apply to join our teams. Reasonable accommodations to access job openings or to apply for a job are available. Recruiter Kara Schott

Discover Your Career at Emory University Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the diversity and excellence of our academic community. Description JOB DESCRIPTION: • Maintains software, hardware and the network in a bioinformatics setting or molecular modeling laboratory. • Supervises regular updates and recommends state-of-the-art enhancements. • Analyzes high throughput screening data and performs structure activity analyses to generate predictive correlations. • Applies a limited range of molecular modeling tools to refinement of high throughput screening hits. • Presents the models in a form that allows users to make decisions concerning the direction of an experimental program. • Performs related responsibilities as required. ADDITIONAL JOB DETAILS: Position Information: • Plan and coordinate the advanced computational and statistical analysis of research projects providing technical expertise in novel and/or revised analytical methodologies and techniques and plan the processing and analysis of research data obtained. • Design analysis strategies to perform genomic, epigenomic and multi-omic analyses of large population databases. • Generate documentation related to analysis. • Develop and prepare research goals and/or research work to attain specific goals of various projects. • Assist in the development of proposals for new funding. • Assure compliance with safety programs and institutional review boards. • Evaluate research findings and assist in reporting of results to sponsoring agencies. • Assist in preparation of progress reports for funding agencies. • Co-author research papers and manuscripts for publication and collaborate in the development of posters and data presentations at conferences and workshops. MINIMUM QUALIFICATIONS: • A master's degree in biology, biostatistics, chemistry, biochemistry, bioinformatics or related science or IT-based discipline; some student-related experience gained through formal Master's-level academic training. PREFERRED QUALIFICATIONS: • Master’s degree in Epidemiology, Biostatistics, or an equivalent amount of experience to perform statistical analysis of high-throughput genomic, biomedical and health data. • Experience with analysis of large health science databases. • Demonstrated ability to participate in the design, execution, and analysis to study the genomics, epigenomics, and multi-omics of human disease in large population-based samples. • Demonstrated interpersonal skills and oral and written communication. • R and/or SAS programming experience, working knowledge of Unix/Linux file system and high-performance computing (HPC) environment. NOTE: Position tasks are generally required to be performed in-person at an Emory University location. Remote work from home day options may be granted at department discretion. Emory reserves the right to change remote work status with notice to employee. Additional Details Emory University is dedicated to providing equal opportunities and equal access to all individuals regardless of race, color, religion, ethnic or national origin, gender, genetic information, age, disability, sexual orientation, gender identity, gender expression, and veteran's status. Emory University does not discriminate in admissions, educational programs, or employment on the basis of any factor stated above or prohibited under applicable law. Students, faculty, and staff are assured of participation in University programs and in the use of facilities without such discrimination. Emory University complies with Executive Order 11246, as amended, Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity and affirmative action. Emory University is committed to achieving a diverse workforce through application of its affirmative action, equal opportunity and nondiscrimination policy in all aspects of employment including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Inquiries regarding this policy should be directed to the Emory University Department of Equity and Inclusion, 201 Dowman Drive, Administration Building, Atlanta, GA 30322. Emory University is committed to providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to request a reasonable accommodation, please contact the Department of Accessibility Services at 404-727-9877 (V) | 404-712-2049 (TDD). Please note that one week advance notice is preferred. Connect With Us! Connect with us for general consideration! Job Number 145795 Job Type Regular Full-Time Division School Of Public Health Department SPH: Epidemiology Job Category Laboratory Research Campus Location (For Posting) : Location US-GA-Atlanta Location : Name Emory Campus-Clifton Corridor Remote Work Classification Primarily On Campus Health and Safety Information Not Applicable

Division/Program Summary Description: The Division of Disease Control’s mission is to safeguard the health of New Yorkers through identification, surveillance, treatment, control, and prevention of infectious diseases, which is achieved through varied and interrelated endeavors of its seven Bureaus. The NYC Public Health Laboratory (PHL) is one of the largest local public health laboratories in the United States where employees contribute to the health and safety of NYC residents by providing clinical and environmental laboratory testing services. PHL is committed to its mission to safeguard the health of all NYC residents by providing quality laboratory testing services that support the priorities of DOHMH and its community partners to prevent and respond to clinical and environmental public health concerns. The Public Health Laboratory (PHL) seeks a qualified candidate to serve as a Bioinformatics Scientist. This position will work primarily in PHL’s Bioinformatics Unit. This position will develop and maintain analysis pipelines as well as perform bioinformatics analyses for high throughput sequencing (HTS) data. It will play an integral role in genomics analysis aimed at responding to public health threats, including but not limited to COVID-19, vaccine preventable diseases, HIV, Legionella as well as respiratory, foodborne, and waterborne disease outbreaks. This is an excellent opportunity to join our multidisciplinary team, and collaborate with local, state, federal, and academic partners. Job Duties and Responsibilities: Conducting bioinformatics analyses for sequencing data that support public health efforts Developing or improving tools related to pathogen identification, outbreak tracking, mapping drug resistance determinants, variant analysis, genome annotation and phylogenetics, genomics data visualization Strengthening the application of genomic tools to support public health diagnostic testing for pathogens from clinical and environmental samples (e.g., wastewater). Conducting literature reviews and stay up to date with cutting edge scientific and epidemiological research and tools. Mentoring and cross-training staff or research fellows at PHL Collaborating with other team members and partners on genomics data management (e.g., SQL databases, public repository uploads, other datasets). Participating in agency wide WGS journal club and genomic data exchange working groups. Developing tools (e.g., dashboards) or strategies (e.g., Docker-based pipelines) to improve accessibility of bioinformatics analyses to non-bioinformaticians (e.g., epidemiologists, virologists, microbiologists). Representing the agency in meetings and conferences. Drafting written protocols and maintain accurate records of software tools design. Writing original manuscripts for publication based on data analyses and product development. Maintaining quality assurance and control of HTS data generated by PHL to ensure reproducibility and accuracy of downstream bioinformatics analyses. This includes writing and designing SOPs and validation/verification protocols. Using best practices for code development, and documentation. Leading and participating in presentations and workshops with Quality Management (QM) at PHL to improve understanding and tracking of sequencing data and analyses quality control measures, data security and data management using resources from APHL, ASM, and others. Preferred Skills: Strong skills in Linux command line and BASH shell scripting. Proficient in R, Python, C, Java, or other programming languages. Experience in SQL. Experience in utilizing multi-core server resources, automating processes, containerization, and workflow languages. Experience with common tools for Next Generation Sequencing Analysis (NGSA), including reference-based analysis and de novo sequencing analysis (knowledge of open source and commercial microbial NGS analysis pipelines) and genome annotation. Demonstrated work in public health genomics research. An MS or PhD degree in the biological sciences, evolutionary biology, genomics, or related fields. Strong analytical and organizational skills; Excellent oral, inter-personal and written communication skills Why you should work for us: - Loan Forgiveness: As a prospective employee of the City of New York, you may be eligible for federal/state loan forgiveness and repayment assistance programs that lessen your payments or even fully forgive your full balance. For more information, please visit the U.S. Department of Education’s website (https://studentaid.gov/pslf/) - Benefits: City employees are entitled to unmatched benefits such as: o a premium-free health insurance plan that saves employees over $10K annually, per a 2024 assessment. o additional health, fitness, and financial benefits may be available based on the position’s associated union/benefit fund. o a public sector defined benefit pension plan with steady monthly payments in retirement. o a tax-deferred savings program and o a robust Worksite Wellness Program that offers resources and opportunities to keep you healthy while serving New Yorkers. - Work From Home Policy: Depending on your position, you may be able to work up to two days during the week from home. - Job Security - you could enjoy more job security compared to private sector employment and be able to contribute to making NYC a healthy place to live and work. Established in 1805, the New York City Department of Health and Mental Hygiene (NYC Health Department) is the oldest and largest health department in the U.S., dedicated to protecting and improving the health of NYC. Our mission is to safeguard the health of every resident and cultivate a city where everyone, regardless of age, background, or location, can achieve their optimal health. We provide a wide array of programs and services focused on food and nutrition, anti-tobacco support, chronic disease prevention, HIV/AIDS treatment, family and child health, environmental health, mental health, and social justice initiatives. As the primary population health strategist and policy authority for NYC, with a rich history of public health initiatives and scientific advancements, from addressing the 1822 yellow fever outbreak to the COVID-19 pandemic, we serve as a global leader in public health innovation and expertise. Come join us and help to continue our efforts in making a difference in the lives of all New Yorkers! Commitment to Equity: The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy. The NYC Health Department is an inclusive equal opportunity employer committed to providing access and reasonable accommodation to all individuals. To request reasonable accommodation to participate in the job application or interview process, contact Sye-Eun Ahn, Director of the Office of Equal Employment Opportunity, at sahn1@health.nyc.gov or 347-396-6549. CITY RESEARCH SCIENTIST - 21744 Minimum Qualifications 1. For Assignment Level I (only physical, biological and environmental sciences and public health) A master's degree from an accredited college or university with a specialization in an appropriate field of physical, biological or environmental science or in public health. To be appointed to Assignment Level II and above, candidates must have: 1. A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or 2. A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or 3. Education and/or experience which is equivalent to "1" or "2" above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in "2" above. Two years as a City Research Scientist Level I can be substituted for the experience required in "1" and "2" above. NOTE: Probationary Period Appointments to this position are subject to a minimum probationary period of one year. Residency Requirement New York City residency is generally required within 90 days of appointment. However, City Employees in certain titles who have worked for the City for 2 continuous years may also be eligible to reside in Nassau, Suffolk, Putnam, Westchester, Rockland, or Orange County. To determine if the residency requirement applies to you, please discuss with the agency representative at the time of interview. Additional Information The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.

Piper Companies is seeking a skilled and innovative Scientist (Bioinformatics) to join a well-established research team in Frederick, MD. The Scientist will be responsible for executing molecular biology techniques in BSL-2, BSL3, and BSL-4 laboratories. Responsibilities of the Scientist: · Conduct DNA and RNA extractions using established protocols and troubleshoot issues to ensure high-quality sample preparation. · Serve as the lead on in vitro and in vivo animal studies · Develop and optimize molecular biology techniques, including PCR, qPCR, and library preparation for NGS workflows. · Design, perform, and analyze experiments related to molecular biology projects with a focus on animal models · Process and analyze NGS data, applying bioinformatics tools to derive meaningful insights. · Maintain meticulous laboratory records, adhering to standards of documentation and data integrity. Qualifications of the Scientist: · 7+ years of academic or industry experience working bacteriology, molecular biology or related field is required · Professional experience working in BSL-2, BSL-3, or BSL-4 laboratories is highly preferred · Experience working with animal models · PCR, qPCR, ddPCR, NGS (Next Generation Sequencing) experience · Master’s or PhD in Molecular Biology, Microbiology, Cell Biology, Virology, or related field · Eligibility to obtain/maintain Active Secret Clearance and BPRP status in the United States Compensation for the Scientist: · Salary range: between $80,000 - $90,000 annually, commensurate with experience · Comprehensive Benefits: Cigna Medical, Dental, Vision, ADP 401k, PTO, Paid Holidays, Sick leave as required by law, STD, LTD This job is open for applications beginning on 4/4/2025. Applications will be accepted at least 30 days after the posting date. Keywords: Scientist, associate scientist, molecular biology, next generation sequencing, NGS, laboratory, GMP, GLP, good laboratory practice, NGS data, bacteriology, in vivo, invitro, animal model, NHP, non-human primate, microbiology, virology, secret clearance, DNA, RNA, DNA extraction, RNA extraction, library prep, protein purification, PCR, qPCR, ddPCR, biosafety level, BSL2, BSL3, BSL4, senior researcher, senior research associate, research associate, RA, sample preparation #LI-BN1 #LI-ONSITE