Bioinformatics Jobs

This Position is Fully Grant Funded School of Medicine Established in 1930, Duke University School of Medicine is the youngest of the nation's top medical schools. Ranked sixth among medical schools in the nation, the School takes pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental scientific discoveries to improve human health locally and around the globe. Composed of more than 2,600 faculty physicians and researchers, nearly 2,000 students, and more than 6,200 staff, the Duke University School of Medicine along with the Duke University School of Nursing, and Duke University Health System comprise Duke Health, a world-class academic medical center. The Health System encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations. Bioinformatician II Summary We are looking for a talented and motivated individual to work with teams of Researchers and Scientists providing bioinformatics expertise, consulting, application development, and support as part of the Duke Predictive Modeling Center (PMC), an NHGRI-funded center with the Impact of Genomic Variation on Function (IGVF) Consortium. Work performed • Contribute to the design, development, adaptation, implementation, and testing of neural networks that are used for predictive modeling of genomic data. Work involved with require increased independence of identifying and implementing solutions with some leadership and supervisory activities. (30%) • Train predictive models using machine learning approaches and technologies. This might include not only writing new code but repackaging and documenting existing scripts to make them reusable and easy to maintain. Work will include training increasingly complex models and will require navigating dynamic computing environments. (25%) • Collaborate and consult with researchers individually or in small groups to analyze problems, recommend technology-based solutions, and design computational strategies for a wide range of biological research. Initiate interdisciplinary collaborations with other centers or departments within the Duke PMC and in collaboration with other research teams with the IGVF consortium. (20%) • Recommend new methods, strategies, and improvements to incorporate into existing models. Try latest tools and analysis methods for new non-conventional genomic data (e.g. CRISPR screens), evaluating their fit and gradually incorporating them into existing analysis pipelines. (15%) • Provide training on bioinformatics-related concepts, applications, and tools to researchers across the PMC and relevant teams within the IGVF. Design and participate in hands-on workshops to teach scientists how to use predictive models and associated neural networks so that these resources are accessible to other groups. (10%) Skills • Experience working with high throughput sequencing datasets (e.g. RNA-seq, ChIP-seq, ATAC-seq, etc.). • Strong and demonstrable programming skills in Python, Tensorflow, and/or R. • Experience with independently identifying solutions and ability to investigate and learn new approaches necessary to adapt existing or new models. • Experience with collaborative development environments, including management of shared repositories (github). • Good communication skills; run and deliver results in a clear and precise way. • Familiarity with High Performance Computing clusters (e.g. SLURM, PBS), including computing environments constructed with CPUs and GPUs. • Familiarity with workflow languages (e.g. CWL, WDL). Education Work requires a M.S. in Bioinformatics or the biological sciences with demonstrable computational skills or a M.S. in computer science with a strong interest in biology/genomics. PhD preferred. Experience Strong expertise with programming required. Minimum Qualifications Education Work requires a M.S. in Bioinformatics or the biological sciences with demonstrable computational skills or a M.S. in computer science with a strong interest in biology/genomics. PhD preferred. Experience Work requires at least 2 years of experience in bioinformatics. OR AN EQUIVALENT COMBINATION OF RELEVANT EDUCATION AND/OR EXPERIENCE Experience with web-based bioinformatics tools, public domain biological databases and software tools for sequence, domain and structural analysis. Extensive familiarity with and development of computational tools in biology that use genomic data to generate biological hypotheses. Experience with a procedural language, proficient in Java, Perl, 'C', web design, DNA genome informatics, proteomics informatics, statistics, and computer science. Experience with relational databases and SQL helpful. Duke is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status. Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas—an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values. Essential Physical Job Functions: Certain jobs at Duke University and Duke University Health System may include essentialjob functions that require specific physical and/or mental abilities. Additional information and provision for requests for reasonable accommodation will be provided by each hiring department.

The Agricultural Research Service (ARS) is the United States Department of Agriculture's chief scientific research agency and one of the world's premiere scientific organizations. ARS Postdoctoral Research Associates are hired to supplement a lead scientist's research on agricultural problems of high national priority affecting American agriculture. • *ANNOUNCEMENT IS OPEN UNTIL FILLED OR DECEMBER 14, 2024

The Senior 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 lab of Jeremy Chase Crawford in the Department of Host-Microbe Interactions is seeking a highly skilled Sr. Bioinformatics Research Scientist focused on Integrative Analysis. This position will work at the cross-section of immunology, development of next-generation and multi-omic molecular methods, and integrative analytics to better our understanding of childhood immune development, immune perturbation from disease and treatment, and host-pathogen interactions. As a key stakeholder in these efforts, you will utilize your expertise in molecular, cellular, and computational biology to advance a multi-disciplinary and highly collaborative research program. One major focus of analysis will be on large NGS datasets obtained from single-cell approaches, with a particular emphasis on aligning data obtained from in-house R&D efforts to in-house generated gold-standard datasets; in that regard, you will work closely with wet lab scientists to design experiments, generate data, and develop and apply pipelines for rapid validation of novel molecular assays. Another key responsibility will be leading the integration and interpretation of multi-modal data (e.g., single-cell and bulk gene expression, single-cell and bulk proteomics, and genotypes) in close collaboration with research stakeholders. The ideal candidate will be highly motivated and detail-oriented with an interest in immunology, integrative biology, molecular assay development, and computational research infrastructure. Excellent communication and organizational skills are required. Success in this position also requires: the ability to multi-task, the ability to collaborate effectively, and working in tandem with multiple members of a culturally and scientifically diverse team to achieve assigned research objectives. Candidates with experience in the following are especially encouraged to apply: • Single-cell transcriptomics and/or multi-omics data generation and analysis • Multimodal analysis of large datasets • Database design and management 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 $104,000 - $186,160 per year for the role of Senior Bioinformatics Research Scientist – Integrative Analysis (Crawford Lab). Explore our exceptional benefits! Diversity, Equity and Inclusion St. Jude Children’s Research Hospital has a diverse, global patient population and workforce, built on the principles of diversity, equity and inclusion. Our founder Danny Thomas envisioned a hospital that would treat children of the world—regardless of race, religion or a family’s ability to pay. Learn more about our history and commitment. Today, we continue the mission to advance cures and means of prevention for pediatric catastrophic diseases through research and treatment. As we accelerate this progress globally, we believe our legacy of diversity, equity and inclusion is foundational to success. With the commitment of leaders at all levels of the organization, we strive to ensure the St. Jude culture, leadership approaches and talent processes are equitable and culturally responsive. View our Diversity, Equity and Inclusion Report to learn about the hospital’s roots in diversity, equity and inclusion, where we are today and our aspirations for an even better future. 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.

Summary We are seeking a part-time AI Research Engineer to support our medical imaging research projects utilizing deep learning techniques. The ideal candidate will have expertise in maintaining and optimizing AWS pipelines for both research and deployment phases of our AI models. This part-time position ffers flexibility and the opportunity to contribute to cutting-edge research in AI-driven medical imaging analysis. The successful candidate will play a crucial role in advancing our understanding of various medical conditions through innovative deep learning techniques. Job Duties • Develop and maintain AWS pipelines for processing and analyzing medical imaging data. • Implement and optimize deep learning networks for medical image analysis tasks. • Collaborate with the research team to integrate clinical data and imaging features into predictive models. • Ensure efficient data management and processing for large medical imaging datasets. • Implement and maintain version control and documentation for all developed code and models. • Assist in the development of AI-augmented tools for clinical assessment. • Optimize deep learning models to achieve high performance in medical image segmentation and classification tasks. • Support the comparison of various predictive models for treatment response assessment. Minimum Qualifications • Education Required: Bachelor's degree in Computer Science, Biological Science, or a related field. • Experience Required: Three years of relevant experience. Preferred Qualifications • Master's degreein relevant field • Three years of experience in enterprise computing and SaaS deployment • Proficiency in Python and deep learning frameworks (e.g., TensorFlow, PyTorch) • Experience with AWS services, particularly in maintaining pipelines for AI research and deployment • Familiarity with medical imaging formats and processing techniques • Knowledge of clinical assessment criteria in relevant medical specialties • Publication record in medical image analysis or related fields Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer. Requisition ID: 20078

Posting Details Posting Details Job Title Undergraduate Bioinformatics Officer Requisition Number DU12414 Department Name 81110:Horticulture Work Location Lexington, KY Salary Range 12.00-15.00 Type of Position Student Position Time Status Part-Time Required Education N/A Required Related Experience We are seeking motivated undergraduate students in a relevant field (e.g., biotechnology, biology, agriculture, bioinformatics, genetics, engineering, computer science, data science) with coding skills to join our research team. Ideal candidates should have experience in programming languages such as Python or R in a Linux environment and a keen interest in applying their coding expertise to innovative research projects. Required License/Registration/Certification A number of online trainings developed by UK Environmental Health and Safety will need to be completed prior to starting work in the lab. The PI will work with the selected applicant to ensure their training plan is completed. Physical Requirements May need to stand for long periods of time, moderate physical exertion related to lifting, pushing, pulling of light to heavy objects. Shift Monday-Friday. During the semester the student will need to contribute 8 hours per week to the project. Job Summary The Environmental Epigenetics and Genetics Group in the Department of Horticulture is seeking an undergraduate research assistant with an interest in Bioinformatics and Machine Learning. The student will be expected to: - Collaborate with team members to process and analyze large-scale genomic, epigenomic, transcriptomic, and metagenomic datasets. - Assist in the development and optimization of bioinformatic and Machine Learning pipelines for multi-omic data analysis. - Contribute to the interpretation of results and the generation of meaningful biological insights. - Prepare a final report at the conclusion of the work summarizing the work and their results. In addition, the student will be expected to attend lab group meetings and present their work to the group. Mentorship and training will be provided. The ideal candidate will have a strong interest in contributing to research projects broadly related to environmental science, genomics, and bioinformatics. Competitive hourly pay is dependent on experience. Skills / Knowledge / Abilities Use of Microsoft Excel, PowerPoint, and Word required. Basic research skills and knowledge on laboratory safety is preferred but not essential. Does this position have supervisory responsibilities? No Preferred Education/Experience Previous experience working in a research lab is preferred but not essential. Deadline to Apply 08/19/2024 University Community of Inclusion The University of Kentucky is committed to a diverse and inclusive workforce by ensuring all our students, faculty, and staff work in an environment of openness and acceptance. We strive to foster a community where people of all backgrounds, identities, and perspectives can feel secure and welcome. We also value the well-being of each of our employees and are dedicated to creating a healthy place to work, learn and live. In the interest of maintaining a safe and healthy environment for our students, employees, patients and visitors the University of Kentucky is a Tobacco & Drug Free campus. As an Equal Opportunity Employer, we strongly encourage veterans, individuals with disabilities, women, and all minorities to consider our employment opportunities. Any candidate offered a position may be required to pass pre-employment screenings as mandated by University of Kentucky Human Resources. These screenings may include a national background check and/or drug screen.

Job Description Bioinformatics Scientist Job Duties: Rush University Medical Center seeks a Bioinformatics Scientist in Chicago, IL to perform integrative analysis of high throughput genomic, metagenomic, transcriptomic and meta-transcriptomic data. Advise sequencing core staff on the appropriate number of samples, methodology, sequencing platform, and depth of sequencing for investigator-driven projects. Evaluate data quality and communicate with sequencing core to achieve best quality results for investigators. Work on multiple investigator-driven projects simultaneously. Analyze next-generation sequence data including data from whole genome/exome sequencing, single cell RNAseq (scRNAseq), spatial transcriptome sequencing, shotgun metagenome/meta-transcriptome sequencing, bulk RNAseq, Chromatin immunoprecipitation sequencing (ChIP-Seq), ATAC-seq (including single cell multi-ome ATACseq), methyl-seq, CRISPR screens, and amplicon seq using previously developed and custom pipelines. Perform data analysis using R, Python, Perl, and bioinformatic software packages. Increase analysis throughput using Bash scripting. Work with investigators to interpret and disseminate results, including grant preparation, report and manuscript preparation. Responsible for core facility functioning, including quoting and invoicing, methodological development for future projects, and SOP development. Maintain data storage and file transfers in remote compute clusters (e.g., Azure Cloud, AWS, etc), Illumina Basespace, and OneDrive. Deposit sequence data to establish repositories, including GEO and SRA. Install and validate software for data analysis and visualization. Ensure compliance with governmental and university policies. Local telecommuting permitted up to 3 days per week. Minimum Requirements: Position requires a Master’s degree in Bioinformatics or a related field plus 3 years of experience with genomic or transcriptomic data analysis. 3 years of experience must include 3 years of the following: (1) analysis of single cell omics research, spatial omics research, microbiome research, shotgun metagenome/meta-transcriptome sequence analysis, whole genome sequence analysis, or genomic epidemiology; (2) Determining best approaches for data analysis, visualization, and interpretation; (3) Advising on best practices on experimental design, sequencing approach, and data analysis; (4) multi-omics and longitudinal omics analysis; (5) Analyzing data using R, Bash, Perl, and Python; (6) Cloud-based computing; and (7) Writing reports and developing SOPs. Email resume to Ann_Bretzer@rush.edu or apply online at https://www.rush.edu/careers . Cite job number “00185” in the response. Rush is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. Position Bioinformatics Scientist Location US:IL:Chicago Req ID 11223

WHY PATIENTS NEED YOU Pfizer's purpose is to deliver breakthroughs that change patients' lives. Research and Development is at the heart of fulfilling Pfizer's purpose as we work to translate advanced science and technologies into the therapies and vaccines that matter most. Whether you are in the discovery sciences, ensuring drug safety and efficacy or supporting clinical trials, you will apply cutting edge design and process development capabilities to accelerate and bring the best in class medicines to patients around the world. POSITION SUMMARY Pfizer is seeking a talented, self-motivated Scientist (Bioinformatics) with background in developing analytical algorithm, data processing pipeline to support mRNA vaccine data analytics and next generation sequencing efforts in vaccines R&D team at Pearl River. Responsibilities will be driving therapeutic innovation through contributing to the vaccine development. You will apply analytical skills and develop bioinformatics tools used for whole genome sequencing, targeted sequencing, RNA sequencing and single cell sequencing. You will analyze sequence data and provide bioinformatics and data science support to various mRNA vaccines program. Work and documentation are to be done in a compliant manner according to relevant SOP guidelines and cGLP guidelines where appropriate. You will be part of a dynamic team and should possess a strong work ethic and collaborative spirit. POSITION RESPONSIBILITIES • Develop and manage automated next generation sequencing (NGS) pipelines to support pathogen or host genome sequencing projects • Implement various open source bioinformatic pipelines and interpret analytical results to support mRNA vaccines' preclinical and clinical programs • Experience and knowledge about bulk RNAseq, single cell RNAseq, TCR profiling, and BCR profiling • Develop novel algorithms and workflow for the analysis of vast amount data spanning different data types and provides scientific insights to guide vaccine design. • Present analytical results and review of literature at group meetings as needed. Maintain laboratory notebooks in compliance with the Pfizer Laboratory Notebook Policy. • Collaborate extensively with those from other scientific disciplines from within the group, from other subdivisions of Vaccines R&D, from other divisions of Pfizer MINIMUM QUALIFICATIONS • Degree in computer science, bioinformatics, data science, computational biology or related field is required. • Bachelor's degree with 8~10 years of experience or master's degree with additional 6-8 years of related experience is preferred. This is NOT a PhD position. • Extensive experience in analyzing multi-omics next generation sequencing data (e.g., genetics, bulk RNA-seq, single-cell RNA-seq, spatial omics, proteomics, etc.) for biomedical research. • Proficient coding/scripting in Python, R. Familiar with Biopython, Tidyverse, Bioconductor, scikit-learn • Familiar with Linux environments, high-performance computing and/or cloud computing environment and broad experience with open-source bioinformatics tools to generate scientific insight. • Must be comfortable with fast-paced environment handling multiple projects simultaneously with different priorities and timelines. Strong motivation, passion and commitment to interdisciplinary science and techniques. PREFERRED QUALIFICATIONS • Familiar with various sequencing platforms: Ion Torrent, Illumina, PacBio, Nanopore, 10x genomic • Familiar with public resources: GISAID, NCBI, EMBL, UniProt, PDB • Knowledge about vaccine development and immunology Job Location: On premise with relocation support available The annual base salary for this position ranges from $74,900.00 to $124,800.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 7.5% of the base salary. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Research and Development

The Molecular Profiling Data Science group is seeking a data scientist with experience in computational biology and genomic data analysis. We collaborate with colleagues across the research and clinical development teams and play a key scientific role in using innovative analytics to empower decisions in advancing our pipeline. In this role, a typical day might include the following: • Work with therapeutic focus area leadership to develop analytics strategy to address the gap in understanding new biology. • Characterize molecular mechanisms and identify novel therapeutic targets and pathways from mouse model and human clinical samples. • Manage and integrate knowledge from prior experiments & biological databases through existing or novel algorithms. • Make scientific contributions in genomic technology and quantitative sciences at the theoretical and empirical level. This job might be for you if you: • Bring innovative thinking to large-scale omics data analysis. • Have a strong work ethic and are proactive in providing solutions to foster scientific collaborations and drive projects forward within Regeneron. • Value collaboration in a fast-paced environment. • Have excellent communication and presentation skills. To be considered for this role, you must have a PhD degree in computational biology or data science with molecular biology background (or vice versa) with 0-2 years of experience, as well as a track record of high-impact publications. Experience in analyze, interpret, visualize genomic data (e.g. bulk/single-cell RNA/TCR/BCR-seq) and biological pathways. Expertise in artificial intelligence and algorithm development. Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive and diverse culture that provides comprehensive benefits, which often include (depending on location) health and wellness programs, fitness centers, equity awards, annual bonuses, and paid time off for eligible employees at all levels! Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. The Company will also provide reasonable accommodation to the known disabilities or chronic illnesses of an otherwise qualified applicant for employment, unless the accommodation would impose undue hardship on the operation of the Company's business. For roles in which the hired candidate will be working in the U.S., the salary ranges provided are shown in accordance with U.S. law and apply to U.S.-based positions. For roles which will be based in Japan and/or Canada, the salary ranges are shown in accordance with the applicable local law and currency. If you are outside the U.S, Japan or Canada, please speak with your recruiter about salaries and benefits in your location. Please note that certain background checks will form part of the recruitment process. Background checks will be conducted in accordance with the law of the country where the position is based, including the type of background checks conducted. The purpose of carrying out such checks is for Regeneron to verify certain information regarding a candidate prior to the commencement of employment such as identity, right to work, educational qualifications etc. Salary Range (annually) $106,200.00 - $173,200.00

The Center of Excellence (CoE) in Data Sciences, AI and Bioinformatics at Labcorp Information Technology department applies various data science disciplines (including artificial intelligence, machine learning, graph databases, statistics, bioinformatics, and natural language processing) to our clinical, operational and financial challenges, and creates opportunities to enhance the value of our offerings to our customers. Additionally, it integrates the data sciences, AI and bioinformatics efforts across Labcorp and serves as a collaboration platform to foster teamwork and learning throughout the Labcorp IT organization. Job Posting: Bioinformatics Scientist Description: Qualified applicant will apply a wide range of computational approaches and integrating various data sources for clinical testing. Examples include copy number analysis, structural variant detection, variant detection in challenging genomic regions, non-coding regulatory variant analysis, and applying deep learning and data mining to gain biological/disease insights and to develop diagnostic tools and computational analysis pipelines for improving human health. Job details • Work with Labcorp IT team to set up in-house/cloud computing environment • Compile relevant data from public sources and Labcorp proprietary data • Configure, set up, refine, train and test data analysis pipeline • Document results in a report and present results to Labcorp scientists Education and qualifications • Ph.D. degree in computer science, bioinformatics or related discipline • Enjoy solving problems; inquisitive and analytical; engaged and motivated • Good verbal and written communication skills • Able to work both independently and as part of a larger team • Ability to see the big picture and work towards that goal Experience • You have string programming experience in AI/ML, Python, Java, R, or Perl • You are familiar with machine learning • You have some knowledge/experience with cloud computing (e.g., Amazon AWS, Google Cloud, Microsoft Azure) • Basic understanding of genomics, database systems and biology is helpful but not required • Remote participation is also an option for this role Benefits: 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. Regular, full-time or part-time employees working 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(K), ESPP, Paid time off (PTO) or Flexible time off (FTO), Commissions, and Company bonus where applicable. For more detailed information, please click here. • Application window will close on 7/26/2024 Labcorp is proud to be an Equal Opportunity Employer: As an EOE/AA employer, Labcorp strives for diversity and inclusion 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 of the individual and do not discriminate based upon race, religion, color, national origin, gender (including pregnancy or other medical conditions/needs), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. We encourage all to apply. If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site or contact us at Labcorp Accessibility. For more information about how we collect and store your personal data, please see our Privacy Statement.

The Bioinformatics Analyst is responsible for modifying and operating data analysis pipelines under direct supervision. Works closely with senior analysts and scientists to generate/provide analysis results and reports, project reports and perform requested custom analyses. Job Responsibilities: • Evaluate data for quality assurance and mine relevant (e.g., bioinformatics, biomedical, cheminformatics) databases. • Perform basic analysis, algorithm implementation, programming, and quality check on data to be loaded into biomedical database. • Assist in adopting new and improved tools and web-based applications. • Assist in the evaluation of products and solutions pertaining to St. Jude's technology needs, in maintaining databases or data warehouse and project reports. • Work with stakeholder s(e.g., HPFC, IS, vendors) to ensure tools are up to date and maintain databases. • 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 preferred. Minimum Experience: • Minimum Requirement: 2+ years of relevant experience required. • Experience Exception: Master's degree and no experience. • Experience in at least one programming or scripting language and at least one statistical package, with R preferred. Compensation In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $65,520 - $114,400 per year for the role of Bioinformatics Analyst. Explore our exceptional benefits! Diversity, Equity and Inclusion St. Jude Children’s Research Hospital has a diverse, global patient population and workforce, built on the principles of diversity, equity and inclusion. Our founder Danny Thomas envisioned a hospital that would treat children of the world—regardless of race, religion or a family’s ability to pay. Learn more about our history and commitment. Today, we continue the mission to advance cures and means of prevention for pediatric catastrophic diseases through research and treatment. As we accelerate this progress globally, we believe our legacy of diversity, equity and inclusion is foundational to success. With the commitment of leaders at all levels of the organization, we strive to ensure the St. Jude culture, leadership approaches and talent processes are equitable and culturally responsive. View our Diversity, Equity and Inclusion Report to learn about the hospital’s roots in diversity, equity and inclusion, where we are today and our aspirations for an even better future. 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.