Bioinformatics Jobs

Summary: Under the general supervision... of the Bioinformatics Scientist Department Manager Laboratory Directors and Pathologists and in accordance with established policies and procedures the Bioinformatics Analyst performs independently in the Department of Pathology. The Bioinformatics Analyst will be responsible for analyzing clinical Next Generation Sequencing data contributing to the development of data analysis pipelines and organizing and maintaining databases. Responsibilities: Participates in the daily clinical bioinformatics workflow such as DNA-seq and RNA-seq data analysis. Analyzes the clinical data for the validation of new Next Generation Sequencing tests. Assists with preparation of validation summaries of the new Next Generation Sequencing tests. Assists in developing analysis pipelines for Next Generation Sequencing tests. Evaluates analytical aspects of emerging analysis methods. Assists in the development of databases and webtools. Other information: BASIC KNOWLEDGE: Bachelors Degree required. Master s Degree in Bioinformatics Computational Biology Computer Science or a related field is preferred. Demonstrates strong scientific understanding of genomics. Demonstrates proficiency in programming and scripting skills (e.g Perl Python or Java). Demonstrates knowledge of DNA-seq and RNA-seq data analysis tools (e.g. BWA GATK STAR Samtools). Demonstrates knowledge of database and webtool development (e.g. SQL HTML CSS Apache). Maintains up-to-date knowledge of bioinformatics data analysis tools Familiarity with CAP/CLIA lab setting is preferred but not required. EXPERIENCE: At least two years of industry or clinical lab experience. Experience in developing computational approaches for cancer genome and/or germline analysis is highly desirable. Excellent teamwork time management and organizational skills. WORK ENVIRONMENT AND PHYSICAL REQUIREMENTS: This position requires the Bioinformatics Analyst to work closely with Bioinformatics Scientists Medical Technologists Management Laboratory Directors and Pathologists. Ability to operate equipment and instruments and to perform all procedures within assigned laboratory section and interpret them for accuracy. Physical and visual dexterity necessary to conduct and interpret analysis. Visual strain is encountered while closely examining data. INDEPENDENT ACTION: Ability to work independently in a fast-paced multidisciplinary environment. Ability to multi-task and work on multiple clinical and developmental projects simultaneously. Analyst functions independently within the department s policies and procedures. Refers specific complex issues to the Bioinformatics Scientist Manager Laboratory Directors or Pathologists when clarification of policies and procedures is required. SUPERVISORY RESPONSIBILITY: None. Lifespan is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race color religion sex national origin age ethnicity sexual orientation ancestry genetics gender identity or expression disability protected veteran or marital status. Lifespan is a VEVRAA Federal Contractor. Location: Rhode Island Hospital USA:RI:Providence Work Type: Full Time Shift: Shift 1 Union: Non-Union

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... The SCCC 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. CORE JOB FUNCTIONS • Runs and maintains existing next generation data analysis pipelines. • Assists senior bioinformatics analysts in pipeline and algorithm development and validation. • Extracts features of interest from data relating to specific biological questions. • Contributes to the maintenance of genomic and clinical databases. • Performs statistical and integrative data analysis on genomics and clinical data. • Works 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. CORE QUALIFICATIONS Education: Bachelor’s degree in relevant field 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. • Ability to process and handle confidential information with discretion. • Proficiency in computer software. #LI-YC1 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: A9

The Genomics Research and Technology Hub in the Department of Biological Chemistry anticipates a specialist position available in the areas of genomics, bioinformatics, and systems biology. The candidate will be responsible for development and maintenance of sequence data analysis pipelines for use with multiple applications of next generation sequencing data. Responsibilities will vary but are... likely to include sequence alignment and assembly, and analysis of RNA differential gene expression, ATAC-seq and chromatin immunoprecipitation from bulk and single cell experiments. The candidate will work directly with computer scientists and biologist clients of the facility. A degree in Computer Science or Molecular Biology or Biochemistry (or a closely related discipline) with an emphasis in Bioinformatics is preferred along with basic knowledge of molecular and genomics biology

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 takes a lead role in data analysis, data visualization, statistical analysis, experimental design, database development, mathematical modeling, and novel method development. Working independently, provides bioinformatics analysis for investigators and communicates analytical process and results. The Neurobiology and Brain Tumor Program (NBTP) of the... Comprehensive Cancer Center at St. Jude Children’s Research Hospital is seeking a Principal/Lead Bioinformatics Research Scientist. The NBTP is a collaborative, transdisciplinary research program that aims to improve survival and morbidity for children with brain tumors by developing effective, relatively non-toxic therapies through a better understanding of disease pathogenesis. Through application of cutting-edge molecular approaches to unprecedented patient cohorts and innovative model systems, members of this program are efficiently translating laboratory findings into opportunities for new treatments. Genome-wide studies of diverse pediatric brain tumor entities have identified novel mutations, defined molecular subgroups, and opened new avenues of basic, translational, and clinical investigation. The Principal/Lead Bioinformatics Research Scientist functions independently to coordinate large-scale bioinformatics projects, providing project oversight, scientific and technical advice, programming support, and other input as required to achieve established objectives. Coordinates the specialized expertise of bioinformatics colleagues to achieve scientific objectives. Establishes best practice recommendations, creates educational materials, and participates in educational initiatives at the laboratory, departmental, and/or institutional level. The successful candidate will assemble and manage a team of Ph.D.- and MS-level bioinformaticians and data scientists to analyze and interpret new and existing multi-omic datasets obtained from children and models with malignant brain cancer, including bulk tumor/normal, single-cell/nucleus, and spatial ‘omic profiles. The director will present research findings at project meetings, scientific conferences, and outreach/training events. There will be opportunities to initiate new projects and collaborate with other groups at St. Jude and externally, including clinicians, basic scientists, and data scientists. A deep understanding of cancer genomics, human genetics, transcriptomics, or epigenetics, strong problem-solving skills, attention to detail, critical thinking, and expertise in second and/or third generation sequencing analysis are essential for this position. The successful recruit must have the capacity to execute proficient computational analyses and troubleshooting independently, communicate effectively with NBTP faculty and collaborators, and thrive in a highly collaborative team environment. The ideal candidate should have: • A PhD and extensive post-PhD experience in bioinformatics, computational biology, and data science. • A strong CV that includes high-profile publications in the field of computational biology, cancer genomics, and/or single-cell genomics. • Extensive expertise in analyzing, interpreting, and visualizing human genomics datasets generated by high-throughput sequencing technologies including short- (Illumina) and long-read- (e.g. PacBio and Oxford Nanopore) whole genome sequencing. • Extensive experience performing statistical analyses of large genomic datasets and validation of genomic pipelines. • Expert-level proficiency in relevant programming languages such as R and Python, preferably in a High-Performance Computing (HPC) environment. • Proficiency in tools for ensuring reproducibility of pipelines, such as workflow management systems (e.g., nextflow or snakemake), and version control (e.g., git). • Proficiency in tool development, including examples documented in public repositories. • Experience with database management systems such as MySQL. • Extensive expertise in data integration and harmonization. • Proven problem-solving skills and collaborative nature in fast-paced environment. • Excellent communication and presentation skills. • Experience in project management and leadership, including training of basic bioinformatics and statistical skillsets. Minimum Education: • Bachelor's degree in bioinformatics, statistics/computer science (with a background in biological sciences) or related field. • Master's degree or PhD preferred. Principal Bioinformatic Research Scientist: Minimum Experience: • Minimum Requirement: Bachelor's degree with 13+ years of relevant post-degree work in bioinformatics, statistics/computer science (with a background in biological sciences). • Experience Exception: Master's degree with 11+ years of relevant post-degree experience (OR) PhD with 8+ 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. Lead Bioinformatic Research Scientist: Minimum Experience: • Minimum Requirement: Bachelor's degree with 10+ years of relevant post-degree work in bioinformatics, 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. • Substantial experience in at least one programming or scripting language and at least one statistical package, with R preferred. Compensation In recognition of certain U.S. state and municipal pay transparency laws, St. Jude is including a reasonable estimate of the compensation range for this role. This is an estimate offered in good faith and a specific salary offer takes into account factors that are considered in making compensation decisions including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be hired at or near the top of the salary range and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current salary range is $125,840 - $238,160 per year for the role of Lead/Principal 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

Bioinformatics Data Analyst I The Roth Lab seeks someone motivated for the position of bioinformatician at the level of Data Analyst I. The successful candidate will be an integral part of a dynamic, interdisciplinary team of researchers, graduate students, and postdocs, investigating the function and impacts of human DNA sequence variation. The bioinformatician will work closely with students... and staff on development, maintenance and operation of research data analysis pipelines, while allotting some time for leading computational research activities. Job Summary Evaluates business requirements and performs basic data integration and analysis. Develops routine analytical and reporting tools utilizing integrated data. Provides technical support. Essential Functions Qualifications: Must have BSc in software engineering, bioinformatics, or equivalent, involving coursework in computer programming, statistics, biology, and bioinformatics. Must have at least one year working experience in a research environment. Must have experience working with high-performance computing in a Unix environment. Must have demonstrated proficiency in the languages of R and Python. Must have experience with computational analysis of biological data, especially sequencing data. Must have experience in web development (Node, Vue). Experience with cloud services would be an asset (Google Cloud, Docker). Experience with sequence alignment software (e.g., Samtools) would be an asset. Background knowledge in basic molecular biology and genetics would be an asset. Physical Effort Physical effort associated with wet lab work, i.e. standing while conducting experiments, sitting while working on computer, walking back and forth in the lab to sinks and microscopes, lifting packages less than 20lbs., etc. Responsibilities: Develop, maintain, and use software pipelines for analysis of next-generation sequencing data. Maintain and develop web-based analysis and analysis reporting applications. Perform data analysis for multiple projects, being able to prioritize tasks in order to meet deadlines as needed. Communicate the results of bioinformatics analyses in written and oral presentations. The University of Pittsburgh is committed to championing all aspects of diversity, equity, inclusion, and accessibility within our community. This commitment is a fundamental value of the University and is crucial in helping us advance our mission, which includes attracting and retaining diverse workforces. We will continue to create and maintain an environment that allows individuals to discover, belong, contribute, and grow, while honoring the experiences, perspectives, and unique identities of all. The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity and diversity. EOE, including disability/vets. Assignment Category: Full-time regular Job Classification: Staff.Data Analyst I Job Family: Information Technology Job Sub Family: Analytics Campus: Pittsburgh Minimum Education Level Required: Bachelor's Degree Minimum Years of Experience Required: 1 Will this position accept substitution in lieu of education or experience: Combination of education and relevant experience will be considered in lieu of education and/ or experience requirement. Work Schedule: Monday - Friday, 8:30 a.m. - 5:00 p.m. Work Arrangement: Monday - Friday, 8:30 a.m. - 5:00 p.m. Hiring Range: To be determined based on qualifications Relocation_Offered: No Visa Sponsorship Provided: No Background Check: For position finalists, employment with the University will require successful completion of a background check Child Protection Clearances: Not Applicable Required Documents: Resume, Cover Letter Optional Documents: Not Applicable PI243916404

Payroll Title: BIOINFORMATICS PROGR 3 Department: BIOENGINEERING Hiring Pay Scale... $94,400 - $105,000 / Year Worksite: Campus Appointment Type: Career Appointment Percent: 100% Union: Uncovered Total Openings: 1 Work Schedule: 8 hrs/day, Mon - Friday #131145 Bioinformatics Data Scientist Filing Deadline: Wed 7/24/2024 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 7/22/24 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor. Special Selection Applicants: Apply by 7/24/24. Eligible Special Selection clients should contact their Disability Counselor for assistance. DESCRIPTION Uses skills as a seasoned, experienced bioinformatics programming professional with a broad understanding of computational algorithms; identifies and resolves a wide range of issues / software bugs. Demonstrates good judgment in selecting methods and techniques for obtaining solutions. Operates independently. NIH has created a Common Fund Data EcoSystem, which serves as the nucleus for a collection of Common Fund Projects that generatelarge volumes of disparate data. The Data Resource Center, DRC (jointly maintained by UC San Diego and Mt. Sinai School of Medicine Teams) operates the DRC. This requires a team of programmers/software engineers/computational biologists who can develop, maintain and support the DRC. This position is seeking a software engineer/computational biologist who has background in biological data maintenance and analysis. This individual will apply skills as a seasoned, experienced software professional with a full understanding of software practices, community standards and relevant policies and procedures to medium-sized projects or portions of large projects with moderate scope and complexity. This individual will have demonstrated competency in selecting tools, methods and techniques to obtain results from Common Fund data. The incumbent will be involved in the development of server/OS/desktop/mobile applications and services, including researching, designing, developing specifications, writing, modifying, testing, debugging, troubleshooting, and maintaining source code. Direct or related involvement in designing databases, user interfaces, integration to other systems/applications, content, or multimedia processes will be a requirement. Work encompasses analysis and design to post-production processes, quality assurance, maintenance, and documentation. Additionally, this individual will engage in developing and utilizing computational tools and systems to analyze and interpret biological or other research data. The individual will also utilize and develop algorithms, computational techniques, and statistical methodologies and will assist in the design of new experiments, and implement end-user needs in database searching and integration. They will maintain the computational infrastructure and tracks the flow of data for large-scale studies and will provide web-based bioinformatics and access to public and proprietary databases. QUALIFICATIONS • Bachelor's degree in biological science, computational / programming, or related area and / or equivalent experience / training. • Thorough knowledge of bioinformatics methods, applications programming, web development and data structures. • Thorough knowledge of bioinformatics programming design, modification and implementation. • Understanding of relational databases, web interfaces, and operating systems. • Strong project management skills. • Thorough knowledge of modern biology and applicable field of research. • Communication skills to work with both technical and non-technical personnel in multiple fields of expertise and at various levels in the organization. • Ability to communicate technical information in a clear and concise manner. • Ability to interface with management on a regular basis. • Self-motivated, work independently or as part of a team, able to learn quickly, meet deadlines and demonstrate problem solving skills. • Thorough knowledge of web, application and data security concepts and methods. • Demonstrated ability to understand functional needs and how systems can support those needs. • Demonstrated ability to develop conversion and system implementation plans. • Demonstrated experience in applications including web-based query systems, workflow implementations and interface development. Should have the knowledge of handling private and confidential information and developing controlled access to data resources. • Advanced skills associated with software design, modification, implementation and deployment, including object-oriented programming concepts. Experience in Workbench and Query Systems design is required. • Demonstrated software repository skills. Demonstrated testing and test planning skills. Demonstrated experience testing and documenting software. • Demonstrated ability to use data analytical pipelines for various types of biological data and perform relevant biological interpretations of results. • Demonstrated experience with these would also be valuable: Docker, Jupyter Notebooks. • Demonstrated experience with biology. Familiarity with genomics, proteomics, metabolomics, epigenomics and other multiomics resources that can help in the design of query systems and tools. • Demonstrated proficiency with Git and GitHub. • Experience writing high-quality, well-documented, well-tested code. • Demonstrated up-to-date knowledge of TypeScript or JavaScript ES2015+ (front-end engineer). • Demonstrated up-to-date knowledge of distinct web browser systems. • Demonstrated up-to-date knowledge of TypeScript or JavaScript. • Thorough knowledge/experience developing database-driven applications with SQL and Python or a similar language (back-end engineer). • Demonstrated ability to communicate/training technical information to technical and non-technical personnel at various levels in the organization. • Thorough experience with identification and use of code libraries and open-source forums. • Advanced skills associated with software design, modification, implementation and deployment, including object-oriented programming concepts. • Leadership skills to provide guidance, coaching and mentoring to professional and support staff. Lead experience: hiring, onboarding, training, employee guidance, and performance management. Experience addressing performance issues, identifying performance goals, conducting performance reviews, and implementing disciplinary actions. Experience scheduling staff, approving time off requests, and timecards. • Experience advising staff on customer interaction approaches, customer expectations. Serves as an escalation point for staff on difficult customer service issues. • Experience leading projects, (identify scope of project, estimate timelines & milestones). Project management and organizational skills; ability to adapt to changing priorities and changing deadlines. SPECIAL CONDITIONS • Must pass a background check. Pay Transparency Act Annual Full Pay Range: $94,400 - $176,800 (will be prorated if the appointment percentage is less than 100%) Hourly Equivalent: $45.21 - $84.67 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. 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 is an Equal Opportunity/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, age or protected veteran status. For the University of California’s Affirmative Action Policy please visit: https://policy.ucop.edu/doc/4010393/PPSM-20 For the University of California’s Anti-Discrimination Policy, please visit: https://policy.ucop.edu/doc/1001004/Anti-Discrimination UC San Diego is a smoke and tobacco free environment. Please visit smokefree.ucsd.edu for more information

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

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 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