Bioinformatics Jobs

• Job Type: Officer of Administration • Bargaining Unit: • Regular/Temporary: Regular... • End Date if Temporary: • Hours Per Week: 20 • Standard Work Schedule: • Building: • Salary Range: $35,000 - $35,000 The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Summary The Department of Systems Biology at Columbia University Irving Medical Center is seeking to hire a part-time Bioinformatics Analyst to work in Dr. Yufeng Shen’s lab. The Bioinformatics Analyst will participate in analysis of large-scale genomic data in genetic studies of human conditions and diseases. Responsibilities • Participate in computational and statistical model development for predicting genetic effect of genomic variation. • Participate in computational analysis of large-scale genomic data to identify risk variants and genes in human conditions and diseases, such as autism and neurodevelopmental disorders. • Maintain and improve bioinformatics pipelines for genomic variants annotation. Minimum Qualifications • Bachelor’s degree or equivalent in education and experience Preferred Qualifications • Bachelor’s degree in Science or Engineering • At least one year of experience in projects with data science or machine learning as a core component • Proficient in Python, git, and modern data science frameworks Equal Opportunity Employer / Disability / Veteran Columbia University is committed to the hiring of qualified local residents

Payroll Title: BIOINFORMATICS PROGR 1 Department: MEDICINE/Cardiology Hiring Pay Scale... $25.67 - $33.00 / Hour Worksite: Campus Appointment Type: Career Appointment Percent: 100% Union: Uncovered Total Openings: 1 Work Schedule: Days, 8 hrs/day, Mon - Fri #125271 Bioinformatics Programmer I Initial Review Date: Wed 9/27/2023 Apply Now UC San Diego values equity, diversity, and inclusion. If you are interested in being part of our team, possess the needed licensure and certifications, and feel that you have most of the qualifications and/or transferable skills for a job opening, we strongly encourage you to apply. UCSD Layoff from Career Appointment: Apply by 09/15/2023 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor. Special Selection Applicants: Apply by 09/27/2023. Eligible Special Selection clients should contact their Disability Counselor for assistance. This position will remain open until a successful candidate has been identified. DESCRIPTION The Department of Medicine (DOM) is the largest department within the UCSD School of Medicine and is responsible for fulfilling the teaching, research, and clinical missions of the University of California, San Diego School of Medicine. The department employs approximately 500 salaried faculty, 168 academic appointees, 331 residents, fellow and postdocs and 479 staff personnel. Computational biologist. Resolves routine programming problems, applying established data processing algorithms to novel data. Works on issues and projects of limited scope. Follows standard programming procedures to analyze situations and data from which answers can be readily obtained. Maintains repositories of published code and answers outside user requests. Aids in the publications of research results. Proficiency in Python, R, Linux, and git version control systems required. AWS experience is a plus. Understanding of major biological data types (genomic SNPs, single-cell RNA-seq expression, protein-protein interaction networks, ATAC-seq, Chip-seq) is required. Will design and develop bioinformatic programs and pipelines to process genomics data. Responsible for lab computer and software maintenance and coordination with other computer facilities. Under direct supervision, applies professional bioinformatics concepts and computational procedures to complete small projects or portions of projects. Works on assignments of limited scope and complexity. Follows standard programming procedures to analyze situations and data from which answers can be readily obtained. MINIMUM QUALIFICATIONS • Four (4) years of related experience, education/training, OR a Bachelor's degree in bioinformatics, biological science, computational / programming, or related area and /or equivalent experience/training. • Basic knowledge of bioinformatics methods, techniques, and data structures. • Programming experience: R, Python, Linux, bash scripting, git version control systems. • Demonstrated experience in processing and analyzing genomics data. • Proven knowledge of applications programming and web development. • Knowledge of modern biology and applicable field of research. Theoretical knowledge in molecular, cellular, or developmental biology. • Effective interpersonal skills in order to work with both technical and non-technical personnel at various levels in the organization. • Strong ability to communicate technical information in a clear and concise manner. • Basic knowledge of application and data security concepts. PREFERRED QUALIFICATIONS • Knowledge of AWS, Jupyter Notebook, HPC • Knowledge relating to the design development, modification and implementation of software including object-oriented programming concepts. • Understanding of major biological data types (genomic SNPs, RNA-seq expression, protein-protein interaction networks. • Experience analyzing singlecell and spatial transcriptomics data. SPECIAL CONDITIONS • Employment is subject to a criminal background check. Pay Transparency Act Annual Full Pay Range: $53,600 - $111,600 (will be prorated if the appointment percentage is less than 100%) Hourly Equivalent: $25.67 - $53.45 Factors in determining the appropriate compensation for a role include experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. The Hiring Pay Scale referenced in the job posting is the budgeted salary or hourly range that the University reasonably expects to pay for this position. The Annual Full Pay Range may be broader than what the University anticipates to pay for this position, based on internal equity, budget, and collective bargaining agreements (when applicable). Apply Now If employed by the University of California, you will be required to comply with our Policy on Vaccination Programs, which may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements. If applicable, life-support certifications (BLS, NRP, ACLS, etc.) must include hands-on practice and in-person skills assessment; online-only certification is not acceptable. UC San Diego Health Sciences is comprised of our School of Medicine, Skaggs School of Pharmacy and Pharmaceutical Sciences, The Herbert Wertheim School of Public Health and Human Longevity Science, and our Student Health and Well-Being Department. We have long been at the forefront of translational - or "bench-to-bedside" - research, transforming patient care through discovery and innovation leading to new drugs and technologies. Translational research is carried out every day in the hundreds of clinical trials of promising new therapies offered through UC San Diego Health, and in the drive of our researchers and clinician-scientists who are committed to having a significant impact on patient care. We invite you to join our team! Applications/Resumes are accepted for current job openings only. For full consideration on any job, applications must be received prior to the initial closing date. If a job has an extended deadline, applications/resumes will be considered during the extension period; however, a job may be filled before the extended date is reached. To foster the best possible working and learning environment, UC San Diego strives to cultivate a rich and diverse environment, inclusive and supportive of all students, faculty, staff and visitors. For more information, please visit UC San Diego Principles of Community. UC San Diego Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity or sexual orientation. For the complete University of California nondiscrimination and affirmative action policy see: http://www-hr.ucsd.edu/saa/nondiscr.html UC San Diego is a smoke and tobacco free environment. Please visit smokefree.ucsd.edu for more information. UC San Diego Health maintains a marijuana and drug free environment. Employees may be subject to drug screening

We are looking for an enthusiastic Bioinformatics Scientist to work in close collaboration with scientists from diverse fields and who can lead independent scientific projects. You will develop and maintain innovative bioinformatics methods and computational pipelines running on high-performance computing platforms that help the Regeneron Genetics Medicines group create next generation therapies... using gene editing and gene insertion. Your role will involve working on innovative technologies like Adeno-associated viruses, CRISPR-Cas9, deep mutational scanning, and using machine learning methods to treat of cure disease. Working in the Molecular Profiling and Data Science department will also give you the opportunity to participate in collaborations in many facets of research and development, ranging from machine learning and inference of statistical models for genotype-phenotype assay data through to the assessment of therapeutic antibodies and other biologics that drive Regeneron’s therapeutics. As a Scientist-Bioinformatics, a typical day might include the following: • Develop and maintain bioinformatics pipelines and carry out bioinformatics analysis using languages such as Shell, Python, and R, and use HPC platforms in a Linux/cloud-based environments. • Develop machine-learning and statistical frameworks to get insights from large sequencing data sets and work on generative models to optimize and generate novel biological sequences with desired properties. • Building tools to characterize gene insertion and analyze NGS data using short and long-read sequencing. • Work with other bioinformaticians to enhance existing pipelines, share methodologies, and develop standard processes. • Conduct independent computational biology research aligned with the department’s overall goals. • Collaborating extensively with wet-lab biologists to design the best experiments and NGS readouts. This job might be for you if: • Want to contribute to the advancement and design of next generation genetic therapies and improve health outcomes. • Like working at the interface between computation and experiments. • Have a strong computational background and enjoy creating new methods. • Like diving deep into data, including analyzing raw NGS reads. • Can effectively communicate complex concepts to collaborators from a wide range of backgrounds. • Want opportunities to showcase and publish your work. To be considered for this role, you must have a PhD degree (or master’s degree with 4 years of relevant experience) in Computational Biology, Bioinformatics, Quantitative Biology, Computer Science, Applied Mathematics, Physics, or related quantitative fields. You must have experience conducting bioinformatics analysis at either the gene or sequence level, have experience with machine learning methods, and have a strong background (3+ years) in Python and/or R. Strong familiarity in working in a Linux environment, and shell scripting is desirable. Strong familiarity with HPC environments is also high valued. Familiarity with code version control systems such as git and testing code (e.g., unit- and functional-tests) a strong plus. Experience with front-end web application development would be a plus. #LI-hybrid Does this sound like you? Apply now to take your first steps toward living the Regeneron Way! We have an inclusive and diverse culture that provides comprehensive benefits including health and wellness programs, fitness centers and 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. We will ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application process. Please contact us to discuss any accommodations you think you may need. The salary ranges provided are shown in accordance with U.S. law and apply to U.S. based positions, where the hired candidate will be located in the U.S. If you are outside the U.S, please speak with your recruiter about salaries and benefits in your location. Salary Range (annually) $88,500.00 - $144,500.00

Summary The Therapeutic Innovation Center is embarking on a programmatic effort to advance drug discovery for RNA helicases in cancer. The center is seeking talented computational biologists to work in an interdisciplinary team environment on early therapeutic and drug discovery projects. As the center’s key focus is on diseases of gene regulation, with an emphasis on cancer, this position will... involve the analysis, interpretation, and visualization of genome-wide profiling including RNA-seq and data from large publicly available resources such as TCGA and DepMap. Job Duties • Utilize R programming to extract insight from raw molecular data and provoke development of novel hypotheses. • Design and develop novel algorithms for data analysis and data visualization. • Develop and maintain bioinformatic pipelines. • Annotate and maintain collaborative computational environments and code bases with an emphasis on reproducibility and rigor. • Visualize and clearly communicate (oral and written) analysis results to an interdisciplinary audience. • Maintain a collaborative, collegial and respectful team environment. Minimum Qualifications • Bachelor's degree in Genetics, Biology, Bioinformatics, Biostatistics, Computational Biology, Computer Science, or a related field. • One years of relevant experience. Preferred Qualifications • Master's degree in a related field. • Expertise in R programming. • Experience with analysis of publicly available resources such as TCGA or DepMap. • Competency in multiple key areas including machine learning and high-throughput sequencing methodology. Baylor College of Medicine requires employees to be fully vaccinated -subject to approved exemptions-against vaccine-preventable diseases including, but not limited to, COVID-19 and influenza. Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer. 16803 CH; SN

This is what you will do: As an integral part of Alexion’s Bioinformatics and Data Sciences team, your role involves creating and developing bioinformatics and data science solutions to advance the AAV gene therapy platform. You'll be part of a skilled team dedicated to generating strategic value and driving innovation throughout Alexion through the creative use of data sciences. You will need... to effectively collaborate with other colleagues at Alexion with diverse scientific backgrounds to deliver novel quantitative solutions and analyses. You will be responsible for: • The successful candidate will collaborate effectively with research teams and will be responsible for developing computational solutions to design, develop, and optimize capsids and transgene cassettes for the novel AAV (adeno-associated virus) development. • Implement computational tools, lead experiment design, analyze studies/assays (such as DNAseq, RNAseq, Single Cell sequencing), interpret results, offer project projections, communicate findings, and uphold active program timelines. • Work both independently and as part of a collaborative team to apply innovative data analysis and AI/ML approaches • Develop software tools and scripts to support data analysis and interpretation pipelines. Practice reproducible research and version control in data analysis. • Lead efforts to identify key needs and questions that can be addressed using genetics, Omics or other bioinformatics approaches in collaboration with cross-functional research teams • Stay up-to-date with relevant scientific literature and incorporate new insights into research activities and evaluation of new technologies and methods You will need to have: • PhD (or equivalent degree) in computational biology, bioinformatics, human genetics, genomics, systems biology, bioengineering, or a related field, with strong background in data science and machine learning, 5+ years of related experience (including post-doc experience) • Significant experience in AAV design and engineering • Solid training and experience of machine learning/ artificial inteligence/ network modeling, strong programming skills in R and/or Python and familiar with Unix/Linux and high-performance computing environments • Proven track record in the analysis, visualization, and interpretation of genetics and Omics data • Strong knowledge of human genetics, molecular biology, as well as biological pathways and networks • Be able to work independently within distributed team environment made of both internal and external stakeholders and contributors • Excellent communication and presentation skills with specific experience in cross functional collaborations.. • The duties of this role are generally conducted in an office environment. As is typical of an office-based role, employees must be able, with or without an accommodation to: use a computer; engage in communications via phone, video, and electronic messaging; engage in problem solving and non-linear thought, analysis, and dialogue; collaborate with others; maintain general availability during standard business hours. We would prefer for you to have: • Familiarity with concepts, tools and data formats used for sequence analysis, protein structure modeling and integration of diverse -omics datasets • Familiarity with computational protein modeling and structural biology

AbbVie is seeking a highly motivated scientist to join our Quantitative, Translation & ADME Sciences (QTAS) team in South San Francisco. The ideal candidate will have a strong background in immuno-oncology, bioinformatics and data science, ability to drive cutting-edge science and work a matrix environment. Applicants having experience in R and Python coding and applications to single cell data... analysis is highly desirable. The candidate will be expected to implement and/or evaluate new technologies and approaches to streamline data analysis for early and late-stage small drug modalities to facilitate rapid advancement of drug candidates in our pipeline. In addition, you will have opportunities to contribute to broader areas within QTAS as your experience and expertise warrants. Core responsibilities include: • · Maintaining existing R coding scripts in support of preclinical and clinical biomarker data • Implement bioinformatic scripts and develop data visualization approaches for preclinical studies • Evaluate emerging algorithms and approaches to improve rigorous assay development and internal quality control measures • Keep up to date with emerging literature and science in high-parameter data analysis and visualizations • Participate in cross-functional collaborations with preclinical and clinical teams to provide decision-quality data • Communicate internally on topics related to pharmacodynamic biomarkers and bioanalysis Qualifications: · MS level position in mathematics, bioinformatics, biotechnology, biology, immunology, cancer biology or B.A./B.S with 5 years of bioinformatic experience with a focus on biological systems. Prior experience with R and Python coding languages and data visualization approaches are required; prior experience with flow cytometry data is highly desired. • Strong and relevant publication record in the bioinformatics, immune-oncology, and immunology fields • Highly motivated, self-driven and results-oriented person with excellent communication and presentation skills, capable to work both as team player and independent scientific contributor • Passion for generating ideas, learning, solving technical problems and applying new technologies to further scientific goals Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. • This job is eligible to participate in our short-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. AbbVie is committed to operating with integrity, driving innovation, transforming lives, serving our community, and embracing diversity and inclusion. It is AbbVie’s policy to employ qualified persons of the greatest ability without discrimination against any employee or applicant for employment because of race, color, religion, national origin, age, sex (including pregnancy), physical or mental disability, medical condition, genetic information, gender identity or expression, sexual orientation, marital status, status as a protected veteran, or any other legally protected group status

• Located in Boston and the surrounding communities, Dana-Farber Cancer Institute brings together world renowned clinicians, innovative researchers and dedicated professionals, allies in the common mission of conquering cancer, HIV/AIDS and related diseases. Combining extremely talented people with the best technologies in a genuinely positive environment, we provide compassionate and... comprehensive care to patients of all ages; we conduct research that advances treatment; we educate tomorrow's physician/researchers; we reach out to underserved members of our community; and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. • We seek an enthusiastic and highly motivated bioinformatics associate to join our cancer genomics research group. This individual will join oncologists, computational biologists and research scientists on our effort aimed at studying the relationships between cancer causing genomic alterations and clinical outcome. This position will provide ample opportunities for professional development and the acquisition of cutting-edge skills in basic and translational cancer genomics research, research planning and strategy, and data analysis and interpretation. • This individual will analyze cancer genomic data generated at Dana Farber using software tools within our team and by generating their own statistical analysis code. This individual will collaborate with oncologists, computational biologists and research scientist to study alterations in patients’ somatic genomes in order to assist in finding new cancer treatments and cures. • Works in teams with oncologists, research scientist and molecular biologists to define and execute computational approaches. • Performs computational analysis of next generation sequencing data, somatic copy number alterations, expression profiling, and biological pathways using in house algorithms. • Generates own code to conduct various other statistical analyses including those to discover relationships between cancer alterations and clinical correlates. • Presents data at project team meetings. • Assists in drafting of scientific manuscripts. • This employee will be located at both the Dana-Farber Longwood Medical Area campus and at the Broad Institute in Cambridge. At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. • Required: B.S./B.A. in the life sciences, physical sciences, or computational sciences. Some coding knowledge of either R, Matlab, and/or python. The ability to work in teams, excellent communication and data presentation skills. • Preferred: Background in molecular genetic data. Understanding of statistical methods and working in cloud computing and UNIX environments. • We will consider May 2024 graduates. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other groups as protected by law. EEOC Poster

UPMC Magee-Womens Hospital is hiring a full-time Senior Genome Bioinformatics Analyst or Genome Bioinformatics Analyst to join the Genomics laboratory team! This will be a remote position. Applicants will be placed into the appropriate job title and salary based on their individual experience and education. The Genome Bioinformatics Analyst's salary starts at $27.38/hour... The Senior Genome Bioinformatics Analyst works independently to curate disease, gene and variant knowledge including variant interpretation, reporting and consultation with laboratory staff, physicians and genetic counselors. The Senior Genome Bioinformatics Analyst oversees clinical genomic test development and validation, maintenance of data analysis pipelines, monitoring of quality metrics, the analysis of large genomic datasets, and the training of junior analysts and trainees to serve as future health care providers in genetic and genomic medicine. This position is ideal for a post-doctoral candidate with prior experience in clinical genomics and molecular diagnostics. Responsibilities: • Curates disease, gene, and variant knowledge. Helps implement curated knowledge, resources, and workflows into clinical operations. • Works collaboratively with technical, Bioinformatics, and clinical sign-out teams to enhance workflow efficiency and robustness. • Oversees validation efforts of more complex laboratory tests and research projects. Evaluates novel platforms and techniques in DNA sequencing, genotyping, and copy-number variation in order to assess suitability for diagnostic application. • Trains junior analysts and incoming fellows/residents. • Responsible for CAP compliance and documentation related to analysis and interpretation of genomic variants. Work with Bioinformatics team for CAP compliance and documentation of NGS bioinformatics analysis pipelines. • In consultation with laboratory staff, physicians and genetic counselors, participates in the review of patient results and develops interpretations for clinical reports. • Maintains data analysis pipelines to monitor quality metrics, analyzes data sets, trend metrics over time, and actively recommends quality improvement initiatives that support robust clinical genomic sequencing initiatives. • Designs and executes clinical validation studies to assess diagnostic test performance

We are seeking a talented, highly motivated Senior Bioinformatics Research Scientist to join the newly formed Center of Excellence in Innate Immunity and Inflammation (CoE-III), directed by Dr. Thirumala Devi-Kanneganti. The mission of the CoE-III is to define innate immune mechanisms driving health and disease, with key focus areas of understanding the fundamental mechanisms of III and... investigating III across the disease spectrum, from infection to inflammatory diseases and cancer. In this position, the successful candidate will lead the bioinformatics pipeline and develop innovative solutions for analyzing and visualizing omics data related to innate immune signaling projects. The candidate will work both collaboratively and independently on projects within the CoE-III. The candidate will lead cutting-edge computational analyses of omics datasets including proteomics, RNAseq, and microarray data, 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 accuracy and robustness. Candidates with a strong background in transcriptomic and proteomic data analysis 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. The CoE-III offers a fast-paced research environment focused on the innate immune system, including an opportunity to collaborate with researchers in the departments of Immunology, Infectious Diseases, Oncology, and beyond. Generous salary support and a benefits package are available. St. Jude Children's Research Hospital has state-of-the-art facilities including core laboratories for proteomics, microarray and RNA-seq analysis of gene expression, transgenic/knock-out technology, and animal facilities from biosafety level 2 to enhanced biosafety level 3. Minimum Education • 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. 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. Other Information 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 University of Southern California (USC), founded in 1880, is the largest private employer in the City of Los Angeles. As an employee of USC, you will be a part of a world-class research university and a member of the "Trojan Family," which is comprised of the faculty, students and staff that make the university what it is. The Department of Translational Genomics seeks faculty candidates at... the Assistant Professor level, to serve as Assistant Professor of Clinical Translational Genomics and Director for their Masters in Bioinformatics Program. Prior teaching experience at the graduate level is required. Expertise in one or more of the following areas is highly desired: Bioinformatics, Computational Biology, Analysis of Next-generation Sequencing Data, and/or Genomics. Potential candidates are encouraged to submit their applications (along with current CV, statement of teaching interests, and two or more letters of recommendation) to: Laura Hui, Department Administrator for the Department of Translational Genomics - University of Southern California, via e-mail @ lhui@usc.edu. The annual base salary range for this position is $124,326-$144,643. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate’s work experience, education/training, key skills, internal peer equity, federal, state, and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations. Review of applications will begin immediately. Position will remain open until filled. The University of Southern California strongly values diversity and is committed to equal opportunity in employment. Women and men, and members of all racial and ethnic groups, people with disabilities, and veterans are encouraged to apply