Bioinformatics Jobs

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. For the safety and well-being of the entire university community, the University of California requires, with few exceptions, that all students, faculty and staff be vaccinated against the COVID-19 virus and influenza before they will be allowed on campus or in a facility or office. For more information visit: Flu Vaccine Mandate / COVID Vaccine Policy 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 Job offer is contingent on successful engagement in the UC COVID-19 Vaccination program (fully vaccinated with documented proof or approved exception/deferral). 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

The Knott Laboratory at Cedars-Sinai Medical Center is seeking to hire a highly motivated computational scientist to fill the position of Research Bioinformatician II! The Knott laboratory is searching for a computational scientist with strong software engineering skills. We prefer this person have a background in single cell RNA sequencing or image analysis, or have experience studying the... spatial distribution of objects and their influence over one another. This research bioinformatician will lead the analysis of novel single cell sequencing and spatial data for a multidisciplinary team that is studying how cancer cells metastasize to distant organs away from the primary tumor site. To learn more, please visit: Knott Research Lab | Cedars-Sinai. The Research Bioinformatician II (RBII) performs general bioinformatics analysis and software support for projects involving in omics, and interacts with investigators to identify research problems, find appropriate software tools and recognize national biological databases and online resources for omic data. The RBII will also work with bioinformatics faculties to determine future bioinformatics needs, and helps to develop tools and pipelines as necessary to keep pace with rapid advances in sequencing technology. The RBII will demonstrate continuous self-improvement, make effective contributions to the section, and adhere to CSHS compliance plan, code of conduct, and hospital and departmental policies and procedures. Primary Job Duties & Responsibilities: • Provides general bioinformatics analysis support for omic projects and mainly responsible for data analysis and software compilations including next generation sequence alignment, polymorphism identification, expression analysis, and visualization tools and browsers. • Summarizes data analyzes results in the form suitable as the basis for the first draft of written reports, and makes preliminary interpretations of the data. • Develop, test, and maintain modular software pipelines for genome sequencing, assembly, annotation, metagenomic analysis, and genotyping using high-throughput sequencing platforms including 454, Illumina, and Pacific Biosciences • Manages data including loading and querying data from database systems, downloading omic data from public repositories • Familiar with medical and biological terminologies, bioinformatics resources, and national biological databases, Ready to provide solutions for investigator’s problems through data mining and extraction • Identify, evaluate, and incorporate relevant algorithms and software pipelines by reviewing pertinent literatures in bioinformatics and computational biology • Assists or collaborates in the preparation of grant proposals, publications, and presentations involving omic data • Educate others about bioinformatics through mentoring and teaching colleagues, investigators, fellows, and graduate students. Education: • Master of Science Degree in Computer Science, Electric Engineering, Computational biology, or Bioinformatics, or Master of Science/ Engineering in relevant fields (e.g. Biology with strong quantitative training, biostatistics with a concentration in bioinformatics) is required. • Doctorate in Computer Science or a related computational field is preferred. Experience & Skills: • Three (3) years in a research environment. • Background and work knowledge in algorithms, scientific computing, and machine learning or statistics. • Previous experience with C/C++, Java, Perl, python, and the Unix (Linux) environment. • Experiences in manipulating, analyzing, and annotating very large genomic (e.g. NGS) data sets both in exploratory and pipelined fashions. Working Title: Research Bioinformatician II - Knott Lab - Center for Bioinformatics and Functional Genomics Department: BMS - Bioinfo & Func Genomics Business Entity: Cedars-Sinai Medical Center Job Category: Academic/Research Job Specialty: Bioinformatics Position Type: Full-time Shift Length: 8 hour shift Shift Type: Day Base Pay:$78,400.00 - $133,100.00

The Lead/Senior Bioinformatics Research Scientist performs data analysis, data visualization, statistical analysis, experimental design, database development, mathematical modeling, and novel method development with a focus on the Genomics data. Provides bioinformatics analysis for investigators and communicates analytical process and results. The Genomics Group from the Center for Applied... Bioinformatics at St. Jude Children's Research Hospital is looking for a highly motivated and creative Senior Bioinformatics Research Scientist or Bioinformatic Research Scientist to develop and apply innovative analytical approaches to understand the underlying mechanisms that drive pediatric cancers and other human diseases. Working for all different projects together with different PIs, employee could make a valuable difference not only to science but also to pediatric cancer patient curation and survival. Besides the various analysis tasks, we also encourage exploring newly available methods, pipeline development could result in first author, high profile publications, as long as it aligns with our ultimate goal: “Finding cures. Saving children”. The Center provides a highly interactive environment with collaborative opportunities within the centers including transcriptomics group, genomics group, and genetics group, and across basic and clinical departments, access to high-performance computing clusters, cloud computing environment, novel sequencing platforms such as long reads sequencing technologies, single-cell sequencing at both DNA and RNA level and spatial transcriptomics, innovative visualization tools, highly automated analytical pipelines powered by GPU technology and mentorship from scientists with deep experience in data analysis, data management and delivery of high-quality results for highly competitive projects. The members of this Center could work on broad areas of bioinformatics and gain valuable experiences. The members of this Center also have the opportunity to publish high-profile papers with prominent authorship and file patents for novel biomarker discoveries or novel methods for clinical diagnosis or disease treatment. Good candidates will have experience in building and optimizing analysis workflows using publicly available software/pipelines for high-throughput next-generation sequence data analysis (such as whole-genome sequencing, whole-exome, targeted sequencing and so on) under Linux/Unix environment. The successful candidate is expected to have good programming skills in Bash, Python, and R. Experience with cancer genomics is a plus. St. Jude has been frequently made up to Great Place to Work list such as in Fortune magazine’s “Best Workplaces in Health Care & Biopharma™ 2020” list and GlassDoor's "BEST PLACES TO WORK 2023" list. Salary is highly competitive (comparable to industry) and employee benefits are outstanding. This position is located at Memphis, TN, and relocation assistance is available. Responsibilities • Specific responsibilities may involve NGS data quality control, integrative analyses, data visualization, developing and evaluating analytic tools • Excellent communication skills are essential • You will work closely with St. Jude PIs to provide standardized/customized analysis, using St. Jude high-performance computing clusters or a cloud computing environment Minimum Requirements • 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. Lead Bioinformatic Research Scientist • Minimum Requirement: Bachelor's degree with 10+ years of relevant post-degree work in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry). • Experience Exception: Master's degree with 8+ years of relevant post-degree experience (OR) PhD with 5+ years of relevant post-degree experience. • Substantial experience in at least one programming or scripting language and at least one statistical package, with R preferred. Senior Bioinformatics Research Scientist • 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 Bioinformatics Research Scientist • Minimum Requirement: Bachelor's degree with 6+ years of relevant post-degree work in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry). • Experience Exception: Master's degree with 4+ years of relevant post-degree experience (OR) PhD with no experience. • Significant experience in at least one programming or scripting language and at least one statistical package, with Python preferred 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

Stanford University is seeking a Software Developer 1 to join the Kundaje lab in the Department of Genetics to lead and assist with the development of data processing pipelines and integrative analysis methods for large-scale multi-omic data (transcriptome, epigenome, lipidome, metabolome and proteome). Specifically, the candidate will be a key member of the Data Analysis and Coordination Center... of the newly announced consortium for multi-omics in health and disease (MOHD) https://www.nih.gov/news-events/news-releases/nih-awards-503-million-multi-omics-research-human-health-disease. Duties include: • Collaborate and participate in large consortia to assess needs and requirements • Develop and maintain data processing pipelines • Processing and quality control of consortium data with pipelines • Troubleshoot and solve technical problems. • Develop tutorials and demos for software products • Design and develop integrative analysis methods for multi-omic data • Maintain and update existing machine learning frameworks for multi-omic data integration • - Other duties may also be assigned. DESIRED QUALIFICATIONS: • Strong experience with bioinformatics tools for analysis of one or more of the following multi-omic data modalities (RNA-seq, ATAC-seq, lipidomes, metabolome, proteome) • Strong data science and software engineering experience in Python, R, Unix scripting • Strong experience developing and deploying bioinformatics pipelines for biology in cloud computing environments with tools such as WDL/Nextflow • Experience leading collaborations between clinicians, wet lab biologists, and computational scientists. • Experience building community around computational biology, such as hosting conference, meetups, or other events related to machine learning and cloud computing for biological applications. • Product management experience defining requirements and managing project timelines from early development to broad deployment. • Project management experience leading small teams to deliver products in a timely fashion. • Ability to define and solve logical problems for technical applications. • Solid analytical skills. • Excellent written and oral English communication and interpersonal skills. • Ability to understand scientific literature, experimental procedures and their limitations, and current needs of the research community. EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree and three years of relevant experience or a combination of education and relevant experience. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): • Current knowledge of latest software and design standards. • Ability to define and solve logical problems for technical applications. • Knowledge of and ability to select, adapt, and effectively use a variety of programming methods. • Ability to recognize and recommend needed changes in user and/or operations procedures. • Basic knowledge of software engineering principles. • Strong knowledge of at least one programming language CERTIFICATIONS & LICENSES: None. PHYSICAL REQUIREMENTS*: • Constantly perform desk-based computer tasks. • Frequently sit, grasp lightly/fine manipulation. • Occasionally stand/walk, writing by hand. • Rarely use a telephone, 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 hours based on project needs The expected pay range for this position is $80,000 to $135,000 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. 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

Max Pay $49.95/hour W2. W2 Candidates only, C2C not possible. Our company offers our consultants a suite of benefits after a qualification period including health, vision, dental, life and disability insurance. 100% remote role, no expectation of onsite work... Description • Seeking a Strong scientific understanding and experience in bioinformatics • Will design, implement and/or deploy data analysis workflows for data processing, integration and mining to support • Client therapeutic target identification and disease biomarker discovery • Experience in biological pathways, data visualization, network and systems biology (GSEA, GeneGO, CBDD, Cytoscape, Reactome) a plus • Experience in pharmaceutical research a plus • Experience in machine learning, especially deep learning a plus • Apply and develop innovative analysis approaches when standard methods are not adequate • Interpret and present analysis results to coworkers and collaborators • Follow relevant scientific literature to ensure use of optimal methods and understand emerging practices across the field • Communicates own work effectively orally and in writing; contributes to writing protocols, procedures, and technical reports • Reports and treats data with a high level of integrity and ethics • Complies with applicable regulations; Maintains proper records in accordance with SOPs and policies Requirements • Programming experience with two or more programming languages including: Python, R, C/C++, Java, or MATLAB • Two year experience of bioinformatics data analysis • Good understand of disease biology • Ability to develop machine learning models • Experience in software and/or pipeline development a plus • PhD/Master degree from an accredited institution with experience in a related scientific discipline (Computer Science, Genomics, Biostatistics or Bioinformatics preferred) OR Bachelors degree from an accredited institution with three-plus (3+) years of experience in a STEM discipline

Job Description: We are seeking a highly skilled data scientist and Bioinformatics engineer with a focus on CRISPR, Base Editing, and Prime Editing tools. The ideal candidate will be responsible for developing and optimizing gene editing techniques to advance our drug discovery and disease modeling initiatives, while also possessing the following qualifications and capabilities... Key Responsibilities: • Design and execute gene editing experiments using CRISPR, Base Editing, and Prime Editing tools, leveraging your expertise in quantitative genetics, computational biology, molecular biology, and plant physiology. • Collaborate with data scientists and biochemists to analyze genomic data, utilizing your strong understanding of genomic data analysis. • Develop protocols for high-throughput gene editing, harnessing your experience in Python development to automate and optimize processes. • Contribute to the development of our MultiOmics app store by integrating new gene editing applications, including the creation of bioinformatic models and data science and machine learning models, aligning with our mission to revolutionize healthcare. • Stay up-to-date with the latest advancements in gene editing technologies, ensuring that our methods remain at the cutting edge of the field. Qualifications: • Ph.D. or Master's degree in Genomic Engineering, Molecular Biology, or a related field. • Extensive hands-on experience with CRISPR, Base Editing, and Prime Editing tools. • Strong understanding of genomic data analysis, quantitative genetics, computational biology, and molecular biology. • Excellent problem-solving skills and attention to detail. • Strong communication skills, both written and verbal. • Proven expertise in Python development for bioinformatic model creation. • Demonstrated ability to create data science and machine learning models to further enhance our gene editing capabilities. Website: www.prepaire.com

Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet... Transforming Lives The University of Miami is among the top research universities and academic medical centers in the nation, and one of the largest private employers in South Florida. With more than 16,000 faculty and staff, the University strives for excellence, and is driven by a powerful mission to transform and impact the lives of its students, patients, members of the community, and people across the globe. The University is committed to fostering a culture of belonging, where everyone feels valued and has the opportunity to add value. Through values of Diversity, Integrity, Responsibility, Excellence, Compassion, Creativity, and Teamwork (DIRECCT) the U community works together to create an environment driven by purpose, excellence, community, and service. The Department of Hussman Institute has an exciting opportunity for a Full Time Bioinformatics Analyst. The Bioinformatics Analyst works with research staff to extend capabilities in bioinformatics and improve understanding of genetic variation in human health and disease. The Bioinformatics Analyst maintains and performs analysis with existing pipelines while assisting and benchmarking the development of novel methods. JOB FUNCTIONS • Running and maintaining massively parallel sequencing data workflows primarily related to Alzheimer disease whole genome sequencing including raw sequencing data QC, alignment, variant calling, filtering, and annotation. • Working with external collaborators including sequencing centers, analysis groups, and long-term data repositories to organize data storage, transfer, and processing. • Coordinate bioinformatics procedures and storage requirements of internal high throughput genomics data. • Work within the bioinformatics group to provide support for various Alzheimer disease research projects by interfacing with the sequencing cores and project analysts. • Follow existing standard operating procedures and create carefully documented scripts to generate analysis reports as necessary. • Generally applying existing pipelines to solve bioinformatics challenges, which includes troubleshooting, problem-solving, gathering requirements, analysis of the problem, and designing and implementing solutions to resolve issues. • Exploring alternative pipelines and implementation including cloud computing solutions for whole genome sequencing analysis. • Assisting with IT and Bioinformatics needs for data storage management including file management and data archiving. • Participating in weekly Alzheimer and bioinformatics team and individual meetings to update progress • Run and maintain existing next generation data analysis pipelines. • Assist senior bioinformatics analysts in pipeline and algorithm development and validation. • Extract features of interest from data relating to specific biological questions. • Contribute to the maintenance of genomic and clinical databases. • Performs statistical and integrative data analysis on genomics and clinical data. • Work along-side other team members and data analysts. • Follows standard operating procedures, documentation, and scripts to generate reports. • Adheres to University and unit-level policies and procedures and safeguards University assets. This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. QUALIFICATIONS Education: Bachelor’s Degree in relevant field required Experience: Minimum 1 year of relevant experience Knowledge, Skills and Attitudes: • Skill in collecting, organizing, and analyzing data. • Ability to recognize, analyze, and solve a variety of problems. • Ability to exercise sound judgment in making critical decisions. #LN-AL1 The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more. UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine. As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean. Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year. Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care. We're the challenge you've been looking for. Patient safety is a top priority. As a result, during the Influenza ("the flu") season (September through April), the University Of Miami Miller School Of Medicine requires all employees who provide ongoing services to patients, work in a location (all Hospitals and clinics) where patient care is provided, or work in patient care or clinical care areas, to have an annual influenza vaccination. Failure to meet this requirement will result in rescinding or termination of employment. The University of Miami is an Equal Opportunity Employer - Females/Minorities/Protected Veterans/Individuals with Disabilities are encouraged to apply. Applicants and employees are protected from discrimination based on certain categories protected by Federal law. Click here for additional information. Job Status: Full time Employee Type: Staff Pay Grade: r7

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

Come join an excellent team of researchers dedicated to coming closer to the mission of St Jude, that no child will die in the dawn of life. We are looking for a highly skilled and motivated Senior Bioinformatics Research Scientist/Bioinformatic Research Scientist to join our prestigious Blue Sky Kinase project. Led by Babis Kalodimos and Madan Babu , this exciting initiative is funded by over... $50 million, providing exceptional resources and research conditions. As a Senior Bioinformatics Research Scientist/Bioinformatic Research Scientist, you will play a pivotal role in our ligand discovery team, led by Dr. Christoph Gorgulla. Your primary mission will be to identify novel hit/lead compounds, with a particular focus on kinases, and optimize them to obtain new tool compounds and drug candidates for the treatment of various diseases. Leveraging state-of-the-art computational methods, including structure-based virtual screenings, (quantum and classical) free energy simulations, and machine-learning techniques, you will contribute to groundbreaking research in the field. Collaboration is at the heart of our work, and you will closely collaborate with our computational and wet-lab colleagues to validate and experimentally verify the predicted hit and lead compounds. By working together in a collaborative and intellectually stimulating environment, you will have the opportunity to contribute to multiple ligand/drug discovery projects and make a lasting impact on the lives of children fighting cancer and other life-threatening diseases. At St. Jude, working is more than just a job – it’s a calling. Each member of our team is united by a shared purpose: finding cures and saving children. In addition to the meaningful work you will undertake, we offer a range of perks to enhance your experience, including access to an on-site gym, an excellent benefits package, and an exceptionally warm and friendly atmosphere. To learn more about the unexpected perks of working at St. Jude, visit our website at https://www.stjude.org/jobs/hospital/talent-talks/10-unexpected-perks-of-working-at-st-jude.html We understand the evolving nature of work and offer remote/hybrid work arrangements, which can be discussed on a case-by-case basis. The anticipated start date for this position is early July, although we are flexible to accommodate the needs of exceptional candidates. Job Responsibilities: • Lead computationally focused scientific research projects with minimal to moderate supervision. • Computational discovery of hit and lead compounds targeting proteins (mostly kinases). • Using structure-based virtual screens (of ultra-large scale) using VirtualFlow, free energy simulations (quantum and classical), MD simulations, high-performance computing, cloud computing, and machine learning-based methods. • Predicting molecular properties of small molecules (using existing methods/software). • Identify, process, organize, summarize, review, and report relevant data. Managing molecular databases that contain discovered hit and lead compounds. • Interacting and collaborating with wet lab scientists on drug discovery projects, who will carry out the experimental validation of the discovered hit and lead compounds. • Interacting and collaborating with other computational colleagues of the team. • Manuscript preparation, submission, and the review process will be part of their responsibilities, under the supervision of Dr.Gorgulla, ensuring that the lab’s findings are disseminated to the scientific community. • Actively participate in independent research projects and collaborate with interdepartmental teams, fostering interdisciplinary approaches to solving complex scientific challenges. • Present research findings to internal and external audiences, contributing to the hospital’s mission of advancing pediatric research. • In the case of recent Ph.D. graduates, this position can be considered equivalent to a mentored postdoctoral position. 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. Senior Bioinformatic Research Scientist 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. Bioinformatic Research Scientist Minimum Experience: • Minimum Requirement: Bachelor’s degree with 6+ years of relevant post-degree work in bioinformatics, cheminformatics, statistics/computer science (with a background in biological sciences or chemistry). • Experience Exception: Master’s degree with 4+ years of relevant post-degree experience (OR) PhD with no experience. • Experience in at least one programming or scripting language and at least one statistical package, with R preferred. 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. Tagged as: Computer Science

In partnership with our client, who is a major Life Science organization, we are seeking Coop students for Spring 2024, with a flexible starting date as early as October or November 2023. The position is full-time and will last for a minimum of 6 months. The chosen applicant will be involved in various target discovery and biomarker development projects in the Immunology and/or Immuno-Oncology... therapeutic areas. An ideal candidate has: • strong background in data analytics, strong coding skills, and solid understanding of human molecular biology and immunology. • familiar with R and ideally at least one other programming language (eg, Python, Perl or Java). • Previous participation in research projects is highly desirable, as is some experience in RShiny app development. • Experience working in a Linux environment, AWS, and methodologies for reproducible research (e.g., git, markdown) would be an advantage. Students enrolled in Bioinformatics master's/PhD degree programs are strongly encouraged to apply, but students from computer science, data analytics, and related programs will be considered as well. As part of this position, the student will have the chance to conduct analyses to generate and validate scientific hypotheses, develop presentations showcasing their results, draft reports, and present their discoveries to project teams. Computational work will include benchmarking new published algorithms and packages, network and pathway analyses of gene expression, creating classifiers with AI/ML methods, building complex Rshiny app to visualize profiling data from patients with different autoimmune disorders. Past projects have focused on sorted-cell RNASeq from Lupus patients, development of the drug-specific genomic signature, analysis of the data from various single-cell technologies, building time-series models based on text-mining data, analysis of immuno-therapy effects on tumor models, and finding rational drug combinations. While specific projects will depend on the time of joining, a specific project plan will be developed for each student at the beginning of the co-op period. The student will learn how to address specific biological questions using different bioinformatics techniques as well as gain better understanding of drug development for auto-immune diseases and immuno-oncology. The student will also be able to participate in group and departmental meetings and seminars to learn about computational work at a pharmaceutical company and about all stages of drug development. The co-op program is designed to have candidates carry out impactful and reproducible research and develop interest/passion in different areas of data analytics/bioinformatics and to help improve programming and other skills. Our past alumni have become successful PhD students in top Universities, or bioinformaticians in prominent pharmaceutical companies with the help and training provided as a part of the program. The applicant must have US work authorization. This work can be done entirely remotely and the candidate can work from any US location, though Boston area is preferred. Hours are flexible but need alignment with US east coast and European working hours