Bioinformatics Jobs

SHIFT: Day (United States of America ... Seeking Breakthrough Makers Children’s Hospital of Philadelphia (CHOP) offers countless ways to change lives. Our diverse community of more than 20,000 Breakthrough Makers will inspire you to pursue passions, develop expertise, and drive innovation. At CHOP, your experience is valued; your voice is heard; and your contributions make a difference for patients and families. Join us as we build on our promise to advance pediatric care—and your career. CHOP’s Commitment to Diversity, Equity, and Inclusion CHOP is committed to building an inclusive culture where employees feel a sense of belonging, connection, and community within their workplace. We are a team dedicated to fostering an environment that allows for all to be their authentic selves. We are focused on attracting, cultivating, and retaining diverse talent who can help us deliver on our mission to be a world leader in the advancement of healthcare for children. We strongly encourage all candidates of diverse backgrounds and lived experiences to apply. A Brief Overview The Bioinformatics Scientist III position is an intermediate level position for a PhD level professional and a final stage position for those with high experience without a PhD. The focus of the position is collaboration-level application of bioinformatics tools and methods to bench and clinical research problems in various biomedical domains. The position allows for a wide variety of activities described within the job responsibilities and encompasses positions within both research and clinical environments. Activities occur with a low degree of supervision with expectation for highly independent judgment, development of bioinformatics workflows and processes, and presentation of results. The Bioinformatics Scientist III will apply best practices in collaborative science as a bioinformatics domain scientific collaborator. Academic output is a focus of this position and is expected with a low degree of supervision. The Bioinformatics Scientist III is primarily focused on taking a lead, proactive scientific role in teams and projects as a bioinformatics domain expert. The Bioinformatics Scientist III must be able to perform all responsibilities listed in the Bioinformatics Scientist II job description. All responsibilities listed in this description are additional. What you will do • Pre-Analysis (10%): Actively participate in the development of application portfolio by developing knowledge of internally developed systems, open-source programs, and commercial applications. Provide efficient data management support. • Lead development of additional pipeline functionality and changes by providing knowledge of both collaboration-specific requirements and bioinformatics discipline advances • Coding (10%): Code and generally support code and applications on behalf of collaborative project and/or team. • Master best practices for project-based code development, QC, and execution consist with the expectations of specific collaborations • Lead peer-to-peer code reviews by participating in informal and formal critical code reviews • Data Analysis (30%): Analyze data of high complexity by applying sound statistical and commonly accepted bioinformatics methods to -omics data primarily under the direction of the collaborative project team • Lead regular peer-to-peer review of analysis plans in both informal and formal settings • Develop multiple specialty analytical areas that serve one or more collaborative teams • Lead adoption of best practices in specialty analytical or biomedical areas by the bioinformatics group and peers • Collaboration (30%): Lead bioinformatics portion of scientific collaborations as the primary bioinformatics resource • As bioinformatics point, assume management role for projects of low-to-moderate complexity, including all aspects of timelines, risk identification and mitigation strategies, and communication mechanisms • Directly manage all elements of project satisfaction and performance relative to scientific project aims • Promote continual objective, hard discussions about overall health of project and relationship • Develop new collaborations with moderate degree of supervision • Academic Output (20%): Lead project-based presentations, grant sections, and manuscript sections with subsequent review by peers and mentors • Regularly coordinate and write bioinformatics-focused manuscripts and publications • Regularly coordinate and lead podium presentations and posters • Proactively contribute to entire bioinformatics and other sections of grant and award proposals Education Qualifications • Master's Degree Required • Doctorate biological or computational discipline Preferred Experience Qualifications • At least five (5) years experience in applied bioinformatics, genomics, and computational work. This experience can be inclusive of a relevant PhD dissertation. Required Skills and Abilities • Ability to, under supervision, conceive of, plan, implement, validate, and disseminate entire research projects is required. • Ability to assume principal investigator or similar role in academic research is preferred. • Strong UNIX/LINUX expertise required. • Proficiency in R or similar commonly used bioinformatics language required • Experience with Python, Perl, or other languages required. • Experience with pipeline or workflow development frameworks preferred. • Experience with management and analysis of complex data types required. • Proficiency in various open source and commercial bioinformatics resources and software required. • Experience with genomic/proteomic data analysis methods required. • Experience or knowledge of technologies commonly used in biological labs, such as PCR, cloning, electrophoresis gels, and cell culture required. • Knowledge of the working mechanism of microarray, NGS, mass spectrometry, or other high-throughput technologies and awareness of their strengths and weaknesses, as well as applicability to a specific biological problem is required. • Familiarity with resources of genomic data sets and analysis tools, such as UCSC Genome Browser, Bioconductor, ENCODE, and NCBI databases is required. • Ability to correctly select and perform statistical tests for most types of genomic data, and to properly interpret their results in the scenario of a specific study is required. • Ability to leverage unique knowledge of bioinformatics, applied biostatistics, molecular biology, and measurement platforms for effective scientific discussion with biologists and clinicians is required. • Ability to determine most favorable academic output as a primary research outcome is preferred. • Ability to objectively critique results and present as valid or questionable, taking into account all aspects of study design, technical issues, and limitations of workflows is required. • Accountability and attention to timelines. • Excellent organization and communication skills with an emphasis on strong presentation skills • Ability to independently plan and execute analyses of moderate complexity required • Ability to provide objective validation of results required • Ability to work in a team environment. To carry out its mission, CHOP is committed to supporting the health of our patients, families, workforce, and global community. As a condition of employment, CHOP employees who work in patient care buildings or who have patient facing responsibilities must be fully vaccinated against COVID-19 and receive an annual influenza vaccine. Learn more. Employees may request exemptions for valid religious and medical reasons. Start dates may be delayed until candidates are immunized or exemption requests are reviewed. EEO / VEVRAA Federal Contractor | Tobacco Statement

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. Job Overview... We are seeking a talented, highly motivated Senior Bioinformatics Research Scientist to join the Center of Excellence in Pediatric Immuno-Oncology (CEPIO). Job Description The Center of Excellence in Pediatric Immuno-Oncology (CEPIO) at St. Jude Children's Research Hospital in Memphis, TN is seeking a Senior Bioinformatics Research Scientist. In this position, the successful candidate will lead the bioinformatics pipeline and develop innovative solutions for analyzing and visualizing omics data related to immuno-oncology studies. The candidate will work both collaboratively and independently on projects within the CEPIO. The candidate will lead cutting-edge computational analyses of omics datasets including transcriptomics, proteomics, scRNA-seq, ATAC-seq, spatial omics, CRISPR screens, and other datasets, along with filling other needs as they are identified. The candidate will ensure the highly effective and accessible end results of these projects, as well as the scientific rigor and accuracy. Candidates with a strong background in transcriptomics, proteomics, functional genomics and/or spatial omics are highly encouraged to apply for this position. Successful candidates will have excellent critical thinking, problem-solving, and data management skills and a keen attention to detail. Knowledge of machine learning and artificial intelligence tools is a plus. St. Jude Children's Research Hospital offers a unique environment with clinical and basic science investigators working in close proximity and interacting regularly to translate scientific discoveries into improved therapies for children. If you are a highly motivated individual who wants to work at a world-class institution with state-of-the-art facilities and learn from investigators at the forefront of their fields, consider joining St. Jude. CEPIO was established in 2023 and serves as the central hub to advance and coordinate cross-disciplinary studies in immuno-oncology across St. Jude basic and clinical Departments, Cores, and Centers. Focused areas of research include systems immunology, functional genomics, and translational immuno-oncology. 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. 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

Job DescriptionWe are seeking a Bioinformatician to join our cross-functional team and provideadvanced bioinformatics supportforstudies of age-related diseases.The successful candidate will use avariety of ‘omics datato test and refine biological hypotheses in coordination with wet-lab and computational colleagues.Key Responsibilities IncludeUpstreamprocessing of‘omics data (QC, normalization... exploratory data analysis).Downstreamprocessing ofbulk, single-cell, and/or spatial transcriptomic data(e.g., cell type annotation, differential gene expression analysis, gene set enrichment analysis, results visualization).Additional Responsibilities IncludeAnalysis ofproteomics or other data modalitiesdepending upon project needs.Applicants should be familiar withhigh-performance computing systems, shell scripting in a Linux environment , and have strong facility withR and/or Python , including relevantbioinformatics packages (e.g., Seurat, edgeR/limma).Those with experience integratingmulti-modal data (e.g., scRNAseq + scATACseq, spatial RNAseq + spatial proteomics)are especially encouraged to apply.Abackgroundinhuman disease biologyis helpful but not required.Skills/Qualifications RequiredPhD in Bioinformatics , Genetics, Molecular and Cellular Biology, or related field orMS with at least 6 years of experience.Single-cell and/or spatial transcriptome QC and analysis (e.g., with Seurat or Scanpy)Bulk RNAseq dataprocessing and analysisFacility withR and/or Pythonfor data exploration and statistical analysisExperience withhigh-performance computing (HPC)and job submission systems#J-18808-Ljbffr

This Position is 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 I 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. (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 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 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 This position requires a B.S. in Bioinformatics or the Biological Sciences with demonstrable computational skills; or a B.S. in Computer Science with a strong interest in Biology/Genomics. M.S. preferred. Experience Strong expertise with programming required. 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

Posting Details Job Title Bioinformatics Analyst... Requisition Number RE44097 Working Title Bioinformatics Analyst Department Name 7H030:SANDERS-BROWN CTR ON AGING Work Location Lexington, KY Grade Level 46 Salary Range $52,021-85,800/year Type of Position Staff Position Time Status Full-Time Required Education MS Click here for more information about equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience No experience required. Required License/Registration/Certification None Physical Requirements May require long periods of sitting or standing and using a computer Shift Monday through Friday, 8:30am – 5:00pm. Job Summary We are currently seeking a skilled bioinformatics specialist to work full-time in a collaborative lab environment at the University of Kentucky. This position will collaborate with the Investigator, Co-Investigator, postdoctoral fellows, and students to develop, implement, and execute a variety of computational methods and tools across several contemporary multiplex technologies. This role will focus developing analysis pipelines to assess the neurobiological basis of aging and degenerative diseases in the CNS . Preference will be given for candidates with documented experience with computational biology, probabilistic models, statistics, machine learning, and discrete mathematics; ability to analyze and interpret complex datasets, such as multi-sample single cell RNAseq, CITE -seq, ATAC -seq, and bulk RNAseq studies. Expertise in standard bioinformatic tools using a variety of programming/scripting languages (e.g., R, Python, Perl, Java) in both Windows and UNIX environment is needed. Skills / Knowledge / Abilities Analytical, reasoning, and problem-solving skills; good understanding of computational biology, probabilistic models, statistics, machine learning, and discrete mathematics Does this position have supervisory responsibilities? No Preferred Education/Experience Master’s degree or Ph.D. in computer science or related field. Deadline to Apply 07/10/2024 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

The primary purpose of this position is to develop the data analytic capacities to support major initiatives related to translational research to the Translational Molecular pathology-Immunoprofiling Laboratory Moonshot platform. The postdoc will apply and develop software tools to assist in performing data analysis in cancer research. This position works as a member of an interdisciplinary team... to discover and disseminate knowledge for enhancing cancer research and patient management. The candidate will be expected to provide original (first author) contribution to data analytical expertise for research projects involving data obtained from spatial transcriptomic assays, including GeoMx Nanostring Digital Spatial Profiling, Visium, or single-cell resolution in situ transcriptomic platforms. The successful candidate will participate in cross-functional research for different types of cancer analysis by working closely with research teams across departmental and platform groups and serving as a resource for faculty and staff. LEARNING OBJECTIVES Learn to perform and automate spatial omics data analysis. Develop novel algorithms/tools for data mining/integration/interpretation. Close, time-sensitive collaboration with pathologists/biologists in a team science setting. Publish scholarly work and develop an academic career. ELIGIBILITY REQUIREMENTS Bachelor's degree in computer science, Biomedical Engineering, Electrical Engineering, Physics, Applied Mathematics, or a related field. POSITION INFORMATION MD Anderson follows the NIH stipend levels as outlined by the Kirchstein - NRSA. This full-time trainee position will provide a salary between $56,484 to $68,604, dependent upon the years of postgraduate experience. MD Anderson offers compensated trainees: - Paid medical benefits (zero premium) starting on first day for trainees who work 30 or more hours per week - Group Dental, Vision, Life, AD&D and Disability coverage - Paid Education Vacation and Sick Leave - Paid institutional holidays, wellness leave, childcare leave and other paid leave programs - Teachers Retirement System defined-benefit pension plan and two voluntary retirement plans - Employer paid life, AD&D and an illness-related reduced salary pay program - Health Savings Account and Dependent Care Reimbursement flexible spending accounts - Fertility benefits - State of Texas longevity pay - Extensive wellness, fitness, employee health programs and employee resource groups FACULTY MENTOR Ken Chen, PhD

The Position The Position... A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche. Genentech seeks a talented and highly motivated Bioinformatics Scientist to pursue translational research projects in collaboration with our Molecular Oncology and Translational Medicine Departments. The Opportunity You will focus on deep exploration of high dimensional clinical trial datasets, with the goal of translating findings into actionable biological insights that can guide our understanding of drug activity in patient tumors, characterize mechanisms of primary and acquired drug resistance, and identify subsets of patients who may benefit from specific therapeutic interventions. Recently, exciting developments at Genentech and elsewhere have uncovered new avenues for interrupting the aberrant cell cycle pathways driving solid tumors. • You should enjoy working with interdisciplinary teams, carrying out data analysis and integration across various domains (High-throughput Transcriptomic, Genomic, Proteomic, Epigenomic data), and applying best-in-class algorithms — or developing new algorithms — that directly address the motivating biological and clinical questions. • You will be a part of a highly collaborative and dynamic research environment where we aim to translate our understanding of cancer biology to develop personalized therapies and diagnostics to transform clinical practice to benefit patient health. • You will have access to state-of-the-art technologies and pioneering research. • You will have access to clinical data sets and samples. • You will be able to effectively present complex results in a clear and concise manner that is accessible to a diverse audience of quantitative, experimental, and clinical scientists. Who you are • You have a PhD in bioinformatics, biostatistics, computational biology or similar. Alternatively, you have a PhD in molecular biology, immunology, etc. combined with a very strong record of high-throughput data analysis, supported by publication in this area. • You have postdoctoral experience in basic or translational research either in an academic or industry setting with a record of publication in lead positions. • You are comfortable with the statistical principles behind current best practices in clinical and high-throughput molecular data analysis. • You have experience with some of these types of high throughput molecular assays: next-generation sequencing (WES, RNAseq, ATACseq), flow cytometry, etc. • You have strong experience in the use of a high-level programming language such as R or Python for complex data analysis. • You have exceptionally strong communication, data presentation and visualization skills. • You are comfortable working both independently and collaboratively and handling several concurrent, fast-paced projects. • You have a record of publications/preprints as (co-)first author demonstrating analysis of large-scale data to investigate biological problems. Preferred • Experience with single-cell assays (e.g., single-cell RNA-seq, Multiome-seq, or CyTOF) is a significant plus. • You are passionate about the relevant concepts in cancer biology and genetics. You are enthusiastic about learning more. #gCS #tech4lifeDataAnalytics Relocation benefits are available for this posting The expected salary range for this position based on the primary location of California is $146,800 - 272,600. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. Benefits Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status

The Lead Bioinformatics Research Scientist (Clinical Genomics) performs NGS data analysis for pediatric somatic and germline clinical tests, and provides guidance to less experienced team members. Case findings are presented bi-weekly in a group setting before clinical reports are issued by the on-duty molecular pathologist. Clinical genomics testing relies on a strong partnership between the... Departments of Molecular Pathology and Computational Biology; as a primary user of the clinical pipeline, the Lead Bioinformatic Research Scientist works at the intersection of pipeline development and reporting, providing feedback and facilitating improvement requests/user testing in support of ongoing improvement efforts. Job Responsibilities: • Perform validity review and interpretation of genetic sequence variation identified through diagnostic clinical genetic testing; prepare and present findings • Establish/maintain/improve protocols and best practices of clinical tasks • Support activities of the molecular pathology lab relevant to new test and technology development and updates • Lead and participate in the department's developmental projects and interdepartmental team projects; acts as a project manager when required • Mentor junior variant scientists regarding variant calling/interpretation • Recognize and report system performance problems • Follow written standard operating procedures (SOPs), and maintain proficiency and competency standards required for lab accreditation • Perform other duties as assigned to meet the goals and objectives of the department and institution Minimum Education and/or Training: • Bachelor's degree in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry) or related field. • Master's degree or PhD preferred. Minimum Experience: • Minimum Requirement: Bachelor's degree with 10+ years of relevant post-degree work in bioinformatics, biological sciences, chemistry, bioinformatics, or statistics/computer science (with a background in biological sciences) • Experience Exception: Master's degree with 8+ years of relevant post-degree experience (OR) PhD with 5+ years of relevant post-degree experience • For lead bioinformatics scientists, substantial experience in at least one programming or scripting language and at least one statistical package is preferred. Alternative titles (for example, Clinical Variant Scientist) may otherwise be deemed appropriate. 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! 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

The Stanford Center for Genomics and Personalized Medicine (SCGPM), situated in the heart of SF Bay Area, has an excellent opportunity available for a motivated bioinformatician. This position within our bioinformatics core team will support our bioinformatics consulting services for faculty and researchers via the Genetics Bioinformatics Service Center (GBSC). For examples of the projects we... support, please visit http://med.stanford.edu/gbsc/baas.html. The ideal person for this position is a bioinformatician who lives and breathes NGS data analysis and is passionate about learning. The successful candidate will have deep knowledge of NGS technologies, quality analysis for read alignment and variant calling (secondary analysis), and a large suite of analytical methods for discovering genetic components of human diseases (tertiary analysis). Responsibilities will include: • Meeting faculty members and researchers to evaluate their bioinformatics needs. • Conducting data analysis that meets quality standards of major peer-reviewed publications. • Providing faculty members and researchers with data, analysis protocols, figures, method descriptions, code, documentation, support, and anything else that might be needed to meet project goals. • Managing time and projects efficiently to support the analysis needs of multiple labs simultaneously. • Establishing, refining, and standardizing the process for bioinformatics analysis and validation. Benchmark-driven development is expected, e.g., use of PrecisionFDA/Genome-in-a-Bottle for DNASeq analysis, or the use of well-characterized data or simulated data where commonly-used reference datasets do not exist. • Presenting bioinformatics efforts and best-practices at conferences and symposia. Writing peer-reviewed publications with and outside of client laboratories are strongly encouraged as a part of this position. • Delivering quick proof-of-concept feedback on new methods and protocols. • Providing training to researchers to allow them to learn and use new techniques for analysis. • Staying abreast with bioinformatics best-practices (e.g., large consortium Data Coordination Centers like ENCODE and HMP) as well as cutting-edge data analysis methods from recent publications. • Meeting 3rd party developers, service providers, and consortium members to stay on top of development of new tools, solutions, and practices in the field. • Observing the highest standards of customer interaction, including maintaining confidentiality when required. This position will take direction from and collaborate with senior bioinformatics team members, who will manage the interactions between team members and the members of the client lab. The GBSC bioinformatics service team is supported by a group of expert software developers and biomedical engineers who are proficient in a variety of development environments, including large HPC clusters and multiple cloud platforms (e.g., DNAnexus, Google Cloud Platform). We recommend that interested candidates explore the NIH RePORTER website (https://projectreporter.nih.gov/) to see the range of basic science research Stanford investigators are engaged in. Our bioinformatics service strives to support the entire range of research that is funded by NIH at Stanford. Note on the position’s status as “Fixed Term”: The bioinformatics consulting team described here has run for over 7 years and we anticipate that this position will be a continuing need for the SCGPM. • - Other duties may also be assigned. DESIRED QUALIFICATIONS: EDUCATION & EXPERIENCE (REQUIRED): Master's degree in scientific field and three years of relevant experience or combination of relevant experience. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): • Strong analytical skills. • Ability to learn and utilize relational databases, data integration, and statistics. • Strong written and oral English communication skills. • Computer skills, including word processing and spreadsheet applications. • Ability to understand scientific literature, experimental procedures and their limitations, and current needs of the research community. CERTIFICATIONS & LICENSES: None. PHYSICAL REQUIREMENTS*: Frequently perform desk based computer tasks, seated work and use light/ fine grasping. Occasionally stand, walk, and write by hand, lift, carry, push pull objects that weigh up to 10 pounds. • - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: • May work extended or non-standard hours based on project or business needs. Occasional local travel may be required. • Some work may be performed in a laboratory setting. WORK STANDARDS (from JDL): • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, http://adminguide.stanford.edu. The expected pay range for this position is $95,000 to $125,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned

This position is located in the USDA, ARS, Northeast Area, Beltsville Agricultural Research Center, Animal Parasitic Disease Lab in Beltsville, MD. In this position, you will serve as an expert resource in bioinformatics, computational biology, machine learning, AI, simulation, or statistics in the development of novel quantitative solutions for standardizing, harmonizing, analyzing, interpreting, and communicating all forms of research data needed to address complex problems in agriculture.