Bioinformatics Jobs

DescriptionThe School of Engineering and Technology (SET) at the University of Washington Tacoma (UWT) is seeking to hire a postdoctoral fellow in bioinformatics. This full-time position is expected to work with biomedical collaborators to develop analytical workflows, methods and software tools to analyze biomedical data. This position is also expected to publish journal papers and present... findings in scientific meetings. Technical expertise in bioinformatics, data science and programming are strongly desired. Candidates with demonstrated research experience analyzing biomedical data and collaborating with biomedical scientists are desired. This post-doctoral scholar will be working under the supervision of Professor Ka Yee Yeung and Research Assistant Professor Ling-Hong Hung.Postdoctoral Scholar appointments are initially for 12-months with opportunities to renew. Postdoctoral scholars are represented by UAW 4121 and are subject to the collective bargaining agreement, unless agreed exclusion criteria apply. For more information, please visit the University of Washington Labor Relations website. QualificationsMinimum Qualifications: Completed PhD or foreign equivalent in computational or biomedical sciences. At least 1 year of research experience in bioinformatics or related disciplines. Proficient in programming such as Python, R, bash, or shell scripts. Experience writing and publishing manuscript(s) that report original research. Excellent written and oral communication skills required. Ability to work both independently and in collaboration with a team. Desired (but not required): Experience with analytical workflows for sequencing, bioimage and/or other biomedical data. Familiarity with cloud computing, such as Amazon Web Services (AWS), Google Cloud Platform or Microsoft Azure. Technical skills in Linux/Unix, Docker, Jupyter notebooks and/or Git. Experience developing open-source software for bioinformatics applications. Publication record in journals indexed by PubMed. Application InstructionsInterested candidates should apply via Interfolio with their CV (including a full list of publications), and three reference letters. Questions related to this position are to be directed to Professor Ka Yee Yeung at kayee@uw.edu.Position URL: http://apply.interfolio.com/111863

Description SUBFUNCTION DEFINITION: Bioinformatics applies biology, computer science, data science, and statistics to analyze and interpret biological and clinical data... POSITION OVERVIEW: The Division of Developmental Biology (DB) and Center for Stem Cell and Organoid Medicine (CuSTOM) at Cincinnati Children's Hospital Medical Center (CCHMC) are seeking a highly motivated Bioinformatics Analysts to join our computational genomics team. Successful candidates will work with a highly collaborative group of scientists performing cutting edge genomic research investigating variety of biomedical area from embryonic development to human stem cell differentiation, pediatric disease and organoid-based cell therapy. This position will be part of a team providing bioinformatic support from experimental design, integrated analysis, data visualization, interpretation and publication. CCHMC is a leader in biomedical research and one of the top ranked pediatric research centers in the world, providing a unique environment for basic and translational research. This position provides opportunity to learn advanced computational approaches, be involved in exciting breakthrough science, authorship on high impact publications and a path for career progression. Positions are available at Analyst, Senior Analyst or Lead Analyst level depending on experience. REPRESENTATIVE RESPONSIBILITIES • Perform data analysis for research projects: Work collaboratively with research groups for the analysis of single-cell and bulk genomic datasets. Perform quality control, sequence alignment, statistical analyses, functional annotation and network. Integrate in house and public datasets across from different patients, disease states and across species. Evaluate the contribution of complex biological or technological covariates from large-scale genomic results (e.g., batch effects, sex). Evaluate results at the gene, pathway and systems-level, integrating detailed biological knowledge at different steps in the analysis. Apply statistical analysis or machine learning analysis methods. Customize data visualization results using existing software toolkits (e.g., R, python). • Informatics operation: Applies existing software to support sequence alignment, inter-sample comparison, algorithm evaluation, data management, data retrieval, and web access. Document standard operating procedures based on best practice. Experience working with complex metadata and data/results documentation. Assists in developing tools to support unsupervised sample and gene heterogeneity analyses. Incorporates institutional resources and 3rd party software into specialized analysis workflows for the team and clients. Helps to maintain computational infrastructure and control the flow of samples and information for studies. Works closely with Biomedical Informatics department to leverage system, software and knowledge efficiencies. • Teamwork: Guides and advises less-experienced staff. Trains and supports staff, residents, fellows, and technologists. Communicate results outside of CCHMC. • Project management: Senior and Lead Analysts will be responsible for managing interactions with various research groups and coordinating effort on different projects. Establish and maintain transparent file management systems and SOPs for project tracking. • Publications & Reports: Prepares manuscript materials for publications and reports about research projects for presentation at scientific meetings. Strong writing skills and experience in diverse data visualization approaches helpful. Qualifications REQUIRED SKILLS: • Data analysis: Knowledge of state-of-the-art bioinformatics analytical methods coupled with the creativity and intelligence to advance beyond them. Prior experience with large scale bulk and single cell genomics is required (scRNA-Seq, ChIP-Seq, scATAC-Seq, WGS, etc.) Experience in biostatistics and proficiency in at least one scripting languages including R/Python/Perl is required. • Data management and data mining: Ability to independently manage and synthesize and integrate data from multiple projects (data tracking, data summarization, curation, results integration). Experience mining public genomic databases to identify, download, process, perform meta-analysis and integrate with inhouse data. • Communication and Collaboration: Excellent verbal and written communication skills are essential. Frequent communications between the analyst and collaborators are required for mutual understanding of the project goals, experimental design, analysis plan, implementation and problem solving. • Biological Principles: Strong understanding of fundamental biological, disease and genomics concepts, with an inquisitive nature and the ability to learn. • Documentation: A demonstrated ability for clear version control documentation (eg. GitHub). • Software and technology: Ability to evaluate and benchmark software. Opportunities for with pipeline and software development based on experience. Senior and lead analysts are expected to be familiar with relational database and client-server concepts. Capable of working on Linux, Unix and Windows environments. • Project management: Excellent project and time management skills are required. Prioritization as well as managing deadlines and expectations for collaborators are important. EDUCATION/EXPERIENCE Analyst Requirements: •Bachelor's degree in a related field • 0 - 2 years of work experience in a related job discipline Senior Analyst Requirements: •Master's degree in a related field • 2+ years of work experience in a related job discipline OR equivalent combination of education and experience Lead Analyst Requirements: •Masters degree in a related field. May require clinical license, certification or training • 5+ years of work experience in a related job discipline OR equivalent combination of education and experience

The Molecular Profiling and Data Science Department is looking for an enthusiastic and motivated Associate Computational Scientist who values independent research in an open and collaborative work environment. You will lead computational efforts in spatial, single-cell, and bulk RNA-seq and multi-omics on complex tissues and organs in the field of Internal Medicine, working in multi-disciplinary... teams spanning basic research to clinical translational studies. You will also build bioinformatics capability in the technology development of new sequencing and gene-editing modalities. You will join an inspiring and diverse department with scientists of computational backgrounds ranging from genomics to machine learning, and work closely with biological and clinical researchers from different scientific areas, including Obesity, Fibrosis, Metabolism, and Cardiovascular Biology. You will also work with wet-lab technology developers, armed with plenty of sequencing capacity, and scientists working on drug targeting modalities including siRNA and CRISPR-Cas9 gene editing. In this role, a day might include the following: • Lead computational efforts in the field of Internal Medicine by developing and applying cutting-edge methods to analyze spatial, single-cell, and bulk transcriptomics and multi-omics. • Investigate pathogenetic mechanisms common across complex tissues and organs, such as immune infiltration and activation of collagen-producing fibroblasts, and identify targets to block such pathways. • Tackle computational challenges associated with new sequencing and gene targeting modalities. • Analyze clinical data to develop better precision medicines. • Collaborate extensively with wet-lab biologists and clinicians to design the best experiments and methodologies and to interpret the results. • Prepare presentations and documentations for collaborators and senior management. • Publish and present novel findings in patents, conferences, and peer-reviewed journals. This job might be for you if: • Are passionate about understanding and developing computational techniques to address biological questions. • Are interested in the bioinformatics of technology development. • Value working on projects that directly impact the lives of patients. • Have a strong work ethic and are proactive in providing solutions to foster scientific collaborations and drive projects forward. • Have a curious mindset and strong attention to detail. • Are science-minded, ask questions, and challenge conventional wisdom. • Can effectively communicate with collaborators from various backgrounds. • Value teamwork and team excellence. • Want opportunities to publish your work. To be considered for this role, you must have a PhD degree in Computational Biology, Systems Biology, Quantitative Biology, Bioinformatics, Computer Science, Applied Mathematics, or related quantitative fields. You must also have experience conducting bioinformatics analysis at either the gene or sequence level and have a strong background (3+ years) in R, Python, or Matlab. Familiarity with working in a Linux environment, with shell scripting, and on high performance computing clusters is a plus. Experience with machine learning on biological problems and with analyzing large datasets is also highly valued. 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 amazing benefits including health and wellness programs, fitness centers and stock for 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 maternity 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

Principal Investigator, Simon Knott, PhD is looking for a Postdoctoral Scientist to join the team! The Cedars-Sinai Center for Bioinformatics and Functional Genomics (CBFG) is an integrated, interdisciplinary research group with the common goal of developing end-to-end research workflows for genomic and high-throughput functional analysis of patient samples. The primary goals of the CBFG are to... establish a research nexus that integrates leading-edge developments in computational sciences, next-generation genomics and epigenomics, and to use functional biology to improve our understanding of disease etiology applied to personalized health. The Knott laboratory at Cedars-Sinai Medical Center is searching for a Postdoctoral Scientist with a strong background in tumor biology and the immune microenvironment to lead single cell-based omics studies of immunotherapy clinical trials being carried out at the medical center. The scientist will manage a team of laboratory technicians through the processing of clinical trial biopsies for profiling with single cell RNA and ATAC sequencing as well as other emerging technologies. Additionally, our laboratory analyzes the clinical samples with spatial profiling methods such as Co-Detection by Indexing, which allows us to directly study interactions between neighboring cells within the tumor that may govern the response to therapy. We are currently analyzing trials to study the effects of combination immunotherapies in patients with triple negative and estrogen receptor positive breast cancers. We are also beginning trials in patients with early as well as late stage Her2 positive disease. We expect all analyses of these cutting-edge clinical trials will result in high-profile publications in top-tier scientific journals. To learn more, please visit: Knott Research Lab | Cedars-Sinai. Are you ready to be a part of breakthrough research? Working independently but in close cooperation and in consultation with Dr. Knott and other Research Scientists, the Postdoc will perform routine and complex laboratory procedures throughout training period. May develop, adapt, and implement new research techniques and protocols, analyze and interpret data. #Jobs Primary Job Duties and Responsibilities: • May assist in preparation of grant proposals, but is not responsible for generating grant funds. • May participate in publications and presentations as author or co-author. • Designs and performs experiments. Will keep appropriate experimental records and documentation and analyze the results with the Principal Investigator. • Analyzes, interprets, summarizes and compiles data. • Operates and maintains equipment and instruments. Education: • Doctorate Degree in Cancer Biology, Immunology or a related field, required. Experience and Skillset: • Acquires thorough technical and theoretical knowledge of research project and objectives during one to five (1-5) year post-doctoral appointment. • Experience analyzing murine or human tumor microenvironments with single cell resolution methods. • Molecular biology skills are also required, as this scientist will be responsible for guiding laboratory technicians through specific analytical techniques mentioned. • Ability to interpret high-dimensional data and a willingness to work in a collaborative setting with clinicians, immunologists and computational scientists is essential. • Works independently on research projects designed by a mentor (typically the PI) within area of specialization. • Demonstrated aptitude to perform experimental protocols and procedures, including detailed data collection, and analysis, and operation and maintenance of specialized equipment. • Knowledge of safety standards and maintenance of specialized equipment. Working Title:Postdoctoral Scientist - Knott Lab - Bioinformatics & Functional Genomics Department:BMS - Bioinfo & Func Genomics Business Entity:Academic / Research Job Category:,Academic/Research,Academic/Research Job Specialty:Postdoctoral Position Type:Full-time Shift Length:8 hour shift Shift Type:Day

Job Summary The Bioinformatics Core at Purdue supports biological research efforts across the University through data analyses combining research in biology with information technology in order to collect, analyze and interpret data. In this role, you will use computational tools to gather and analyze data, compile vast amounts of information from activities such as gene expression profiling and... epigenomics, etc., especially in non-model organisms and consult with other scientists and researchers to analyze data sets, collaborate with other 'omics' centers. Additional duties will include: • Assist the Director in managing the core, develop new services, market current services, developing and conducting workshops and developing pipelines for data analysis • Perform analysis of sequencing data from various sequencing platforms using different software packages and in-house scripts • Analyzing large scale genomic and transcriptomic data, developing project specific workflows • Validating various software packages • Help the director to plan and implement analysis methods and manage the projects • Document the analysis process, workflows, interpret results, and help other staff to maintain these standards • Attend conferences, trainings, seminars, and professional group meetings Required: • Ph.D. degree in Bioinformatics, Computational Biology, Molecular Biology or related field • 3 years of experience working in a core facility or similar settings • An equivalent combination of education and experience may also be considered • Strong biological science background, preferably non-model organisms; experience in genomics, and experience in handling large data sets from various NGS platforms • Experience in handling large and complex data sets with particular emphasis on Next Generation Sequencing and associated bioinformatics analyses • Experience in the use and application of bioinformatics software and tools to address biological research needs • Experience in training and supervising graduate students and staff working in bioinformatics analyses • Experience in SNP identification and detection, CNV analysis, RNA-Seq, ChIP-Seq, Metagenomics/Metatranscriptomics analyses • Experience in using UNIX/LINUX OS and PERL/Python scripting • Experience in using 'R' • Knowledge of genomics concepts, including sequence assembly, gene prediction and annotation, alignment etc. • Must be able to communicate effectively with users of the Bioinformatics Core • Highly motivated and detail oriented • Strong visual, verbal, and written communication skills • Excellent time organizational skills Additional Information: • All new hires will be expected to follow Protect Purdue guidelines • To learn more about Purdue’s benefits summary • A background check will be required for employment. • FLSA: Exempt (Not Eligible for Overtime) • Retirement Eligibility: Defined Contribution Immediately • Purdue University is an EOE/AA employer. All individuals, including minorities, women, individuals with disabilities, and veterans are encouraged to apply

Bioinformatics Trainer / Analyst OverviewCompetitive salaries and full benefits including, medical, dental, and vision insurance, retirement program, vacation and sick leave, onsite cafe and much more!The Oklahoma Medical Research Foundation (OMRF) is an independent, not-for-profit, biomedical research institute adjacent to the campus of the University of Oklahoma Health Sciences Center (OUHSC... located in Oklahoma City. OMRF investigators have internationally recognized expertise in Autoimmunity, Immunology, Genetics, Aging, Cardiovascular Disease, and Cancer. Investigators at OMRF enjoy close scientific interactions with OUHSC faculty and participate in OUHSC graduate programs. Additional information about OMRF can be found at the Oklahoma Medical Research Foundation web site: www.omrf.org.OMRF’s excellence can only be fully realized by individuals who share our commitment to diversity, equity and inclusion. Successful candidates will demonstrate commitment to these values. OMRF is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to gender, sexual orientation, gender identity, race, color, national origin, age, religion, disability, veteran status or any other legally protected characteristic. ResponsibilitiesThe Center for Biomedical Data Science is seeking a bioinformatician/data analyst to support biomedical research projects and training across the institute. The hire will implement and optimize pipelines for genomic data analysis and facilitate training of individuals in the use of a variety of software, including R and Python packages, for the analysis of datasets from a variety of genomic methods, including RNAseq, ChIPseq, and scRNA-seq. The hire will also work with senior scientists and staff to organize and implement access to training materials and software. QualificationsBachelor’s degree in Bioinformatics, Mathematics, Statistics, Biostatistics, Computer Science, MIS, or a relevant field and 3 years relevant experience/training in a biomedical research setting or combination of experience/education.Candidates must have prior hands-on experience in genomic data analysis using R and/or Python packages. Preference will be given to candidates who have demonstrated strong skills in project management, contribution to multiple projects, customer service, verbal and written communication, time management, organization, and experience with education/training.To apply, visit https://careers-omrf.icims.com/jobs/1474/bioinformatics-analyst/job?in_iframe=1OMRF’s excellence can only be fully realized by individuals who share our commitment to diversity, equity and inclusion. Successful candidates will demonstrate commitment to these values. OMRF is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to gender, sexual orientation, gender identity, race, color, national origin, age, religion, disability, veteran status or any other legally protected characteristic.jeid-c1ec480f5f06de488bb8e9b64865e241

Bioinformatics Analyst - Genomics (Open to remote) This established company is offering you the unique opportunity to hone your Bioinformatics skills in a high-support environment. Your Bioinformatics data analysis experience in combination with your go-getter attitude and quick-learning spirit will help you shine in this role. Join a close-knit team and make a name for yourself at an industry... leading company - apply below. What you'll do: Working knowledge of Python, Perl, and R is ideal not required. Knowledge in basic biological processes and genomics. Familiarity with genomics databases such as gnomAD, dbSNP, ClinGen and ClinVar. Work with NGS data sets. Working knowledge of laboratory protocols relevant to sequence analysis. Excellent verbal and written communication skills. Ability to multi-task and work in a fast-paced environment. Who you are: Education and Experience Requirements M.S. in statistics, bioinformatics, genomics or computational biology or equivalent experience Experience in biotech preferred Why work here: Supportive leadership: you'll be directly reporting to a competent, devoted and kind manager with a reputation for building successful leaders Impact: Have a positive influence both as part of a lean team where your voice can be heard, as well as on the company as a whole Job Type: Full-time Pay: $90,000.00 - $135,000.00 per year Benefits: Dental insurance Health insurance Vision insurance Schedule: 8 hour shift Monday to Friday Ability to commute/relocate: San Diego, CA 92121: Reliably commute or planning to relocate before starting work (Required) Experience: Bioinformatics : 1 year (Required) NGS: 1 year (Preferred) Work Location: One location

Description Purpose... The scientist works independently using a robust math toolbox to discover solutions for a diverse portfolio of interesting and challenging problems. The scientist develops, implements, and monitors advanced analytic, medical informatics, and predictive modeling tools for health care programs at the UPMC. The scientist normally works Monday through Friday day-light business hours or as needed. Responsibilities: • Maintain SOP documentation related to bioinformatics processes such as NGS data analysis pipelines. • Development and maintenance of robust systems for managing and reporting NGS results. • Development and maintenance of Next-Generation Sequencing (NGS) data analysis pipelines. • Assist with technical interpretation of NGS results in areas such as variant calling, copy number variation, or fusion detection. • Assist in the establishment of cutoffs and guidelines for interpretation of NGS results using statistical analysis. • Work with other lab members to publish new methods and results in scientific journals and conferences. Qualifications • Ph.D. degree in Bioinformatics, Computer Sciences or Biology with with 1 years experience in a computational role OR M.S. degree M.S. degree with 2 or more years experience in a scientific role • Requirements: Linux/Unix.Python.Next-Generation Sequencing data analysis experience. • Strong analytical skills. • Experience with Django, SQL, R, HTML/CSS, Javascript preferred. • Familiarity with commonly used databases and bioinformatics tools (e.g. samtools, bedtools, IGV, ANNOVAR, GATK) and file formats (e.g. BED, VCF, FASTQ, BAM) preferred. • Excellent written and oral communication skills. • Person must demonstrate a high degree of professionalism, enthusiasm and initiative on a daily basis. • Ability to work in a fast-paced environment a must. • Attention to detail is critical to the success of this position Licensure, Certifications, and Clearances: • Act 34 • UPMC is an Equal Opportunity Employer/Disability/Veteran

Payroll Title: BIOINFORMATICS PROGR 2 Department: PSYCHIATRY Salary Range... Commensurate with Experience Worksite: Campus Appointment Type: Career Appointment Percent: 100% Union: Uncovered Total Openings: 3 Work Schedule: Days, 8 hrs/day, Monday-Friday As a federally-funded institution, UC San Diego Health maintains a marijuana and drug free campus. New employees are subject to drug screening. #114801 Bioinformatics Programmer Extended Review Date: Mon 6/27/2022 Apply Now 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 This position will remain open until a successful candidate has been identified. UCSD Layoff from Career Appointment: Apply by 03/02/2022 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor. Special Selection Applicants: Apply by 03/11/2022. Eligible Special Selection clients should contact their Disability Counselor for assistance. This position will be hired at the Bioinformatics Programmer 2 or Bioinformatics Programmer 3 level depending on the experience of the selected candidate. DESCRIPTION UCSD Department of Psychiatry is one of the most innovative and productive academic departments in the country, offering challenging career opportunities in the diverse areas of advanced educational programs, cutting-edge research, and state-of-the-art clinical services. The department is committed to offering a dynamic learning environment and growing opportunities to its talented and dedicated employees. Under general supervision, the incumbent will work as a Bioinformatics Programmer researching the development of a comprehensive understanding of the gene regulatory network and how aberrant gene regulatory circuits contribute to human disease within the Department of Psychiatry. Utilizing single cell transcriptomics and single cell epigenetics to understand dysregulated gene regulatory circuitry in Alzheimer’s disease and substance use disorder. Responsibilities include analyzes and interprets experimental results using bioinformatic methods in a self-directed manner. Produces quality/quantity reproducible scientific data and analyses, generating figures for publication and writing manuscript. The incumbent also will make contributions to scientific literature, conferences or otherwise plays a key role in the advancement of the research project(s) and/or Institute goals. MINIMUM QUALIFICATIONS • Six (6) years of related experience, education/training, OR a Bachelor’s degree in biological science, computational/programming, or related area plus two (2) years of related experience/training. • Working knowledge of bioinformatics methods and data structures. • Working knowledge of modern biology and applicable field of research. Knowledge as it relates to DNA sequences, sequencing technologies and genomics. • Ability to communicate technical information in a clear and concise manner. Cooperative and service-oriented attitude; must be able to work under pressure and maintain a professional demeanor. • Working knowledge of applications programming and web development. • Working knowledge of databases. • Working knowledge of application and data security concepts. • Possesses highly specific or sophisticated skills and exhibits expert knowledge essential to the work of the laboratory, project or department. • Ability to effectively supervise scientific, research and/or technical staff. • Demonstrated contribution to a project(s) and/or paper(s). • Proven ability to conduct investigations in relevant scientific areas, formulate experimental hypotheses, and analyze and interpret scientific data. • Strong interpersonal skills; ability to effectively interact with all levels of staff and external contacts; ability to work as an effective team member. • Demonstrated experience with data analysis and interpretation of single cell functional genomic datasets. • Knowledge of and experience in working with junior and senior bioinformatics programmers, and in utilizing software to conduct data analysis and interpretation of single cell functional genomic datasets. SPECIAL CONDITIONS • Employment is subject to a criminal background check. • Must be able to work overtime or in the evenings. 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

The Department of Laboratory Medicine and Pathology (LMP) at the University of Minnesota Medical School is seeking to hire an academic track or tenure track faculty member interested in the interface of bioinformatics, machine learning, and the medical sciences. As the acquisition of biomedical data has become increasingly scalable, the challenge is shifting from obtaining data to identifying... relevant data and analyzing and interpreting it relative to the existing knowledge of research. Often data is collected across multiple modalities including various imaging and ‘omics platforms, each with its own associated databases. In addition, digital pathology and spatial ‘omics platforms are extending the computational needs beyond the realm of traditional ‘omics analysis into complex image analysis. Our goal is to develop tools that leverage the multilayered nature of the data to establish relationships between modalities and direct experiments using advanced computational methodologies. The candidate will work closely with the Advanced Research and Diagnostics Laboratory (ARDL) within LMP, which is the central laboratory and biorepository for over 60 NIH funded multi-center observational studies and clinical trials and both generates and has access to large scale ‘omics data on several thousand samples. The applicant will also work closely with the Divisions of Computational Pathology and Anatomic Pathology to advance digital pathology applications within LMP.Candidates must hold a PhD in Biophysics/Physics, Applied Mathematics, Computer Science, Statistics, Quantitative/Computational Biology or a related field. Strong background in statistics, experience implementing machine-learning algorithms, building analysis pipelines for ‘omics data and demonstrated ability to extract datasets from publicly available sources. Academic rank and appointment type will be commensurate with years of experience and accomplishments. Candidates are expected to demonstrate a strong record of research productivity. Successful candidates must have the ability to: Obtain external funding to support innovative research. Represent the Department and the University at professional meetings in local communities, nationally and across the world. Assist in the recruitment of the best and brightest doctoral students, postdoctoral fellows and molecular pathology fellows and mentor them throughout their years of study. Obtain external funding for their support while working on research projects under the faculty member’s supervision. Publish seminal research findings in refereed, high impact journals, book chapters and books. Collaborate with other faculty to obtain research funding for trans-disciplinary research. The Department of Lab Medicine and Pathology recognizes and values the importance of diversity and inclusion in supporting the academic mission. Applications from individuals with a diversity of backgrounds and experiences, including those from underrepresented groups, are highly encouraged.The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu.To apply for this position go to https://www.umn.edu/ohr/employment/index.html and go to search postings and enter the requisition 351447. Please upload a cover letter, CV, a brief statement of research interests, and the names and contact information for at least three references. The University of Minnesota is an equal opportunity educator and employer