Bioinformatics Jobs

The University of Southern California (USC), founded in 1880, is located in the heart of downtown Los Angeles and is the largest private employer in the City of Los Angeles. USC is consistently ranked among the nation’s most prestigious universities, and the USC Leonard Davis School of Gerontology features one of the world’s best degree and research programs in gerontology. The USC Leonard Davis... School has an international reputation as a hub of aging research and with additional strong programs throughout the university leads the way in defining and advancing the field of gerontology. An exciting opportunity has been created for an enterprising Bioinformatician to join the USC-Buck Nathan Shock Center (NSC) Genomic Translation Across Species Core (GTASC) within the Leonard Davis School of Gerontology’s Bioinformatics Core at the University of Southern California (USC). The mission of the Gerontology Bioinformatics Core (GBC) is to facilitate the development of data analytic procedures to enable the translation of big data into research findings. The Bioinformatics Core has growth opportunities with funded research projects that integrate multiple disciplines, including aging biology, geroscience, lifespan, and developmental psychology, genetics, demography, and public health. In particular, we have a strong focus on using genomic data derived from diverse human cohorts to validate findings in model organisms to better understand the architecture of complex traits related to aging-related diseases and longevity. For more information about the GBC (https://gero.usc.edu/bioinformatics-core/) or the Davis School of Gerontology (https://gero.usc.edu), click on the included links Responsible for creating and running analytical pipelines to answer research questions on funded projects. Serves as an integral part of the research team. Works closely with faculty and research leads to develop and implement coding approaches. Educates and cross-trains graduate students, staff, or post-docs in external collaborating groups. Makes independent decisions on analysis approaches, free from immediate direction, within scope of responsibilities. The GTASC focuses on testing hypotheses in humans that were generated from research conducted in model organisms to aid in identifying processes that influence health and lifespan. We do this using genomic data (genetic, epigenetic, gene expression) collected as part of large population-based studies. The bioinformatician would be responsible for creating and running analytical pipelines to answer research questions that are instrumental in accelerating the pace of translational genomics relevant to human aging. The bioinformatician will be an integral part of the research team and work closely with the core leaders to develop, implement, and document these pipelines. Demonstrated knowledge of programming and/or scripting languages (i.e., R, SAS, python) is required for this position. The ideal candidate will be a person who has demonstrated skills in genomics data analysis (e.g., GWAS, EWAS, TWAS, etc.), using high-performance computing clusters, managing large data files, documenting methods used for bioinformatic analyses, applying statistical methods for work with high dimensional data. High attention to detail, good organization, and communication skills are essential. The successful candidate will perform quality control, data management, and analysis of data using biosocial, behavioral, health, environmental, and genetic/epigenomic measures; assist with annotation of findings; prepare data for reports and manuscripts, and grant applications; stay abreast of new technology and analytic techniques; and present research activities within the group and with collaborators. The bioinformatician will have the authority to make independent decisions on matters of significance, free from immediate direction, within the scope of their responsibilities. Flexible working environment. Posting will remain open until a suitable candidate is identified. Key Accountabilities • Evaluate and assess epigenome- and genome-wide data in large population studies of older adults (e.g. Health and Retirement Study, English Longitudinal Study of Ageing). Independently analyze and interpret data analyses from quality control to regression models. This includes developing/implementing quality control protocols, generating epigenetic or genetic measures (epigenetic age, polygenic scores, etc), and conducting analyses (e.g. EWAS, GWAS, SKAT, etc). Annotate findings. • Consult with collaborators to clarify, improve and evaluate research projects. Manage data acquisition, storage, and sharing tasks, such as data use agreements and interfacing with data repositories (e.g. dbGaP, NIAGADS, and GEO). • Perform regular maintenance of datasets including merging refreshment files, restructuring and recoding variables, and checking for errors (while providing feedback to analysts during this process). Create and maintain clear and organized workflow documentation for internal and external review. Chronicle data management and analysis steps and annotate program files to ensure full transparency and reproducibility as part of a public analysis pipeline (interface with Github, etc.) to accompany manuscripts. • Perform code review for other analysts as part of the team, including working with other team members to fix errors and discuss differences in scientific opinion. Assist in the supervision of students/staff/postdocs, including guiding and managing tasks. Conduct literature reviews on aging, genomic, and bioinformatic topics. Write data, analysis, and results sections for working papers, reports, grants, and manuscripts. Collaborate in the development of data presentations for conferences and workshops. The GBC fosters a work environment that is inclusive as well as diverse, where ideas and perspectives are valued. We are building a team where individuals can thrive, contribute to cutting-edge research related to health with aging, and collaboratively elevate translational science. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or an individual’s status in any group or class protected by applicable federal, state, or local law. Required Qualifications • Master’s degree in a recognized field of science or learning which is directly related to the duties of the position, including, but not limited to, biostatistics, quantitative social science, molecular genetics, statistical genetics, translational genomics, or bioinformatics. • Two or more years of experience in at least two domains characteristic of the bioinformatics, including at least one biological/biomedical science and one quantitative/informatics/computing science, with an aptitude for others. • Experience analyzing large and complex biological and/or -omics datasets using reproducible analysis approaches (e.g. analysis pipelines). • Data management and statistical modeling programming experience in R or other –omic analysis software using command line programming such as Linux/Unix. • Highly motivated to learn and implement novel quality control and analyses techniques for genomic data. • Ability to multi-task in order to facilitate several research projects at different stages of completion. • Experience with record-keeping for documentation of analyses and analysis pipelines. • Good communication on technical and non-technical aspects of data analysis, tasks, and timelines. • Must be able to work independently and as part of a research team. • Familiarity with statistical genetic and social science research methods. Preferred Qualifications • Familiarity with statistical genetic and social science research methods. • Experience with genomic analysis of large health or social science studies. • Programming experience with R Markdown, Python, and R shiny apps. • Experience with standard bioinformatics software tools and packages e.g. Bioconductor. • Experience analyzing large and complex biological and/or -omics datasets using reproducible analysis approaches (e.g. analysis pipelines). Work Locations This position will be on-site at the University of Southern California, Leonard Davis School of Gerontology, with flexible scheduling and remote opportunities made available within our overall school policies. If relocation is required, we will allow for reasonable time and flexibility to make necessary arrangements. Additional Information The University of Southern California offers a competitive benefits package including medical, dental, vision, life insurance, accidental death, and dismemberment insurance, and short and long term disability insurance. The annual base salary range for this position is $80,000-$96,000. 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. REQUIRED DOCUMENTS: In order for your application to be considered, a cover letter and resume must be attached. Minimum Education: Master's degree Minimum Experience: 2 years Minimum Skills: Experience analyzing large and complex biological/-omics datasets using reproducible analysis approaches (e.g., analysis pipelines). Demonstrated knowledge of programming/scripting languages (e.g., R, SAS, python). Programming experience in data management and statistical modeling (e.g., R or other –omic analysis software, using command line programming). Demonstrated skills in genomics data analysis (e.g., GWAS, EWAS, TWAS, etc.); experience using high performance computing clusters, managing large data files, documenting methods used for analytical procedures, and applying statistical methods for working with repeated measures data (e.g., from large-scale, population-based datasets). Highly motivated to learn and implement novel quality control and analyses techniques. Ability to multi-task. Experience with analysis pipeline record-keeping. Strong organizational and communication skills. High level of attention-to-detail. Ability to work independently and as part of a research team. Familiarity with statistical genetic and social science research methods. Preferred Skills: Experience with genomic analysis of large health or social science studies. Programming experience with R Markdown, Python, and R shiny apps. Experience with standard bioinformatics software tools and packages (e.g., Bioconductor). Experience analyzing large and complex biological/-omics datasets using reproducible analysis approaches (e.g., analysis pipelines

About City of Hope City of Hope's mission is to deliver the cures of tomorrow to the people who need them today. Founded in 1913, City of Hope has grown into one of the largest cancer research and treatment organizations in the U.S. and one of the leading research centers for diabetes and other life-threatening illnesses. City of Hope research has been the basis for numerous breakthrough cancer... medicines , as well as human synthetic insulin and monoclonal antibodies. With an independent, National Cancer Institute-designated comprehensive cancer center at its core, City of Hope brings a uniquely integrated model to patients spanning cancer care, research and development, academics and training, and innovation initiatives. City of Hope's growing national system includes its Los Angeles campus, a network of clinical care locations across Southern California, a new cancer center in Orange County, California, andtreatment facilities in Atlanta, Chicago and Phoenix. City of Hope's affiliated group of organizations includes Translational Genomics Research Institute and AccessHope TM . For more information about City of Hope, follow us on Facebook , Twitter , YouTube , Instagram and LinkedIn . City of Hope's commitment to Diversity, Equity and Inclusion We believe diversity, equity and inclusion is key in serving our mission to provide compassionate patient care, drive innovative discovery, and advance vital education focused on eliminating cancer and diabetes in all of our communities. Our commitment to Diversity, Equity and Inclusion ensures we bring the full range of skills, perspectives, cultural backgrounds and experiences to our work -- and that our teams align with the people we serve in order to build trust and understanding. We are dedicated to fostering a community that embraces diversity - in ideas, backgrounds and perspectives; this is reflected in our work and represented in our people. Position Summary The collaborative research in Bild and Nath labs focuses on translational cancer systems biology. The overarching goal of our labs is to develop and validate effective treatment strategies against drug resistant tumors. We are seeking a talented and motivated Bioinformatics Staff Scientist to join our dynamic team. As a Bioinformatics Staff Scientist, you will play a key role in analyzing and interpreting complex biological data, integrating multi-omics datasets, and developing innovative computational methods to extract meaningful insights. Your work will contribute to advancing our understanding of diseases, identifying potential therapeutic targets, and facilitating the development of personalized medicine approaches. Responsibilities: · Perform bioinformatics analysis on high-throughput genomic and transcriptomic data. · Develop and apply computational algorithms and statistical models for data analysis and interpretation. · Integrate and analyze multi-omics datasets to identify patterns, correlations, and potential biomarkers. · Collaborate with cross-functional teams including biologists, mathematicians, and medical oncologists to design and execute bioinformatics projects. · Stay up to date with the latest advancements in bioinformatics and genomics research. · Contribute to the development of data analysis pipelines and software tools. · Present findings and results to internal teams and external stakeholders in a clear and concise manner. · Publish research outcomes in scientific journals and present at conferences. Basic education, experience and skills required for consideration: · Ph.D. in Bioinformatics, Computational Biology, Genetics, or a related field. · Strong expertise in analyzing next-generation sequencing (NGS) data. · Proficiency in programming languages such as Python, R, and/or Perl. · Experience with bioinformatics tools and databases (e.g., NCBI GEO, Ensembl, UCSC Genome Browser). · Knowledge of statistical methods and data mining techniques for large-scale genomics data analysis. · Familiarity with machine learning (AI/ML) algorithms and their applications in bioinformatics. · Excellent problem-solving skills and the ability to work independently and in a team-oriented environment. · Strong communication skills with the ability to present complex data and concepts effectively. Preferred Qualifications: · Experience with single-cell RNA sequencing (scRNA-seq) data analysis. · Knowledge of cancer genomics and oncology research. · Familiarity with cloud computing platforms and big data analysis frameworks. · Demonstrated track record of publications in reputable scientific journals. Additional Information: · Interested candidates are invited to submit their CV including a link to the candidates GitHub, a cover letter, and a brief statement of research interests and accomplishments. · For more information about Dr. Andrea Bild's lab, please visit here. · The estimated pay scale represents the typical [salary/hourly] range City of Hope reasonably expects to pay for this position, with offers determined based on several factors which may include, but not be limited to, the candidate's experience, expertise, skills, education, job scope, training, internal equity, geography/market, etc. This pay scale is subject to change from time to time. · As a condition of employment, City of Hope requires staff to comply with all state and federal vaccination mandates. City of Hope is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, or status as a qualified individual with disability. #PD

About City of Hope City of Hope is an independent biomedical research and treatment organization for cancer, diabetes and other life-threatening diseases... Founded in 1913, City of Hope is a leader in bone marrow transplantation and immunotherapy such as CAR T cell therapy. City of Hope’s translational research and personalized treatment protocols advance care throughout the world. Human synthetic insulin, monoclonal antibodies and numerous breakthrough cancer drugs are based on technology developed at the institution. AccessHope™, a subsidiary launched in 2019 serves employers and their health care partners by providing access to City of Hope’s specialized cancer expertise. A National Cancer Institute-designated comprehensive cancer center and a founding member of the National Comprehensive Cancer Network, City of Hope is ranked among the nation’s “Best Hospitals” in cancer by U.S. News & World Report and received Magnet Recognition from the American Nurses Credentialing Center. Its main campus is located near Los Angeles, with additional locations throughout Southern California and in Arizona. City of Hope’s commitment to Diversity, Equity and Inclusion We believe diversity, equity and inclusion is key in serving our mission to provide compassionate patient care, drive innovative discovery, and advance vital education focused on eliminating cancer and diabetes in all of our communities. Our commitment to Diversity, Equity and Inclusion ensures we bring the full range of skills, perspectives, cultural backgrounds and experiences to our work -- and that our teams align with the people we serve in order to build trust and understanding. We are dedicated to fostering a community that embraces diversity - in ideas, backgrounds and perspectives; this is reflected in our work and represented in our people. Position Summary Applies bioinformatics and information science and technology to the organization, storage, analysis, modeling and visualization of complex biological data. Develops custom software and databases as needed. Key Responsibilities include: · Consults on various research projects as assigned under supervision of the department director. · Collaborates with department personnel on research projects; performs statistical and other mathematical analyses and simulations of complex data using available software packages and by developing new custom software. · Prepares summaries, presentations, manuscript sections and figures for the visualization and publication of complex data and results. · Develops databases for the organized entry, reliable storage and efficient retrieval of complex data. · Establishes schedules and monitors status of projects on an ongoing basis. · Trains department personnel in the use of specialized and custom software packages and databases. · Provides recommendations for the growth and improvement of the computer hardware and software infrastructure of the department. · Enhances professional growth and development by reviewing current literature and by participation in educational programs, workshops, conferences, and inservice meetings. · Maintains department records, reports, and files as required. · Attends meetings as required. · Performs special projects as assigned by management. · Performs other related duties as assigned or requested. Basic education, experience and skills required for consideration: · Master’s Degree or Ph.D. Degree (in Bioinformatics, Computer Science, Mathematics, Statistics) Equivalent Experience preferred. · 2+ years’ experience applying computer and information science and technology to the organization, storage, analysis, modeling and visualization of complex data. Preferred education experience and skills: · Bioinformatics Background and single cell data analysis experience Additional Information: · The estimated pay scale represents the typical [salary/hourly] range City of Hope reasonably expects to pay for this position, with offers determined based on several factors which may include, but not be limited to, the candidate’s experience, expertise, skills, education, job scope, training, internal equity, geography/market, etc. This pay scale is subject to change from time to time. · As a condition of employment, City of Hope requires staff to comply with all state and federal vaccination mandates. City of Hope is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, or status as a qualified individual with disability

NATIONAL LEADERS IN PEDIATRIC CARE Ranked among the top 10 pediatric hospitals in the nation, Children’s Hospital Los Angeles (CHLA) provides the best care for kids in California... Here world-class experts in medicine, education and research work together to deliver family-centered care half a million times each year. From primary to complex critical care, more than 350 programs and services are offered, each one specially designed for children. The CHLA of the future is brighter than can be imagined. Investments in technology, research and innovation will create care that is personal, convenient and empowering. Our scientists will work with clinical experts to take laboratory discoveries and create treatments that are a perfect match for every patient. And together, CHLA team members will turn health care into health transformation. Join a hospital where the work you do will matter—to you, to your colleagues, and above all, to our patients and families. The work will be challenging, but always rewarding. It’s Work That Matters. Overview Position Summary: The Senior Bioinformatics Scientist oversees the analysis and management of high throughput data generated from NGS or high throughput arrays. The individual will work closely with CHLA scientists, physicians, bioinformatics analyst and biostatisticians to provide customized solutions for a broad variety of biological experiments in the subject area of infectious diseases. He/she will assist with managing, analyzing, and interpreting data generated by parallel detection systems used in genomics, transcriptomics, microbiomics and metagenomics. The successful candidate will implement both software and hardware applications/systems supporting scientific data workflow processes and develop pipelines. He/she also provides research support to investigators and assists in training investigators and new users to use bioinformatics applications and databases. The Senior Bioinformatics Scientist participates in the bioinformatics group's independent research and assists in preparing and submitting manuscripts for publication. He/She also plays a leadership role in recruiting and managing junior bioinformatics analysts or scientists. Qualifications PhD degree in bioinformatics or equivalent. Three years of hands-on experience in life science data, genomics and computation. Demonstrated ability to solve biologically-relevant problems requiring novel applications of exploratory data analysis. Experience in NGS data analysis is highly desirable. Knowledge Skills And Abilities Required Excellent English written and oral communication skills. Proficient in scripting languages (phtyon, perl) or Java. Proficient with R (non-coursework related) and relational database packages (MySQL). Knowledge of microarray and NGS data management and analysis. Knowledge of genomic database resources at NCBI, EMBL strongly preferred. Knowledge of hardware including server, network, etc. Ability to synthesize statistical and bioinformatics results into graphic and written form. Pay Scale Information USD $76,128.00 - USD $137,030.00 CHLA values the contribution each Team Member brings to our organization. Final determination of a successful candidate’s starting pay will vary based on a number of factors, including, but not limited to education and experience within the job or the industry. The pay scale listed for this position is generally for candidates that meet the specified qualifications and requirements listed on this specific job description. Additional pay may be determined for those candidates that exceed these specified qualifications and requirements. We provide a competitive compensation package that recognizes your experience, credentials, and education alongside a robust benefits program to meet your needs. CHLA looks forward to introducing you to our world-class organization where we create hope and build healthier futures. Children's Hospital Los Angeles (CHLA) is a leader in pediatric and adolescent health both here and across the globe. As a premier Magnet teaching hospital, you’ll find an environment that’s alive with learning, rooted in care and compassion, and home to thought leadership and unwavering support. CHLA is dedicated to creating hope and building healthier futures – for our patients, as well as for you and your career! CHLA has been affiliated with the Keck School of Medicine of the University of Southern California since 1932. At Children’s Hospital Los Angeles, our work matters. And so do each and every one of our valued team members. Your race and ethnicity, religion, age, gender, sexual orientation and ability make you uniquely you – and that is just who we are looking for! So, bring the best of yourself and contribute to our mission in your own unique way. Diversity inspires innovation. Our experiences, perspectives and backgrounds allow us to better serve our patients. As an equal opportunity employer, we celebrate the differences of our team members

At Cedars-Sinai, postdoctoral scientists and other junior researchers fulfill a critical role in expanding the horizons of medical knowledge through biomedical research. By hosting more than 100 postdocs, who conduct vital research and receive advanced training with expert faculty mentors, Cedars-Sinai supports the ongoing medical education process that continues beyond PhD/MD... graduation. Overview: Bioinformatics and Integrative Genomics Research interests in the bioinformatics and integrative genomics cluster (BIGC) involve large-scale data analyses incorporating a wide range of 'omics' technologies such as RNA-seq, single cell RNA-seq, ChIP-seq, WGS and WGBS. BIGC covers all aspects of projects using 'omics'- from study design, to data generation and analysis. The BIGC aims to equip postdocs with the skills they need to successfully incorporate NGS technologies into their research projects. Strong emphasis is placed on collaboration and team science and will foster career development by providing postdocs with guidance on how to foster successful interdisciplinary collaborative projects. Essential 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. • May develop, adapt, and implement new research techniques and protocols. • Analyzes, interprets, summarizes and compiles data. • Performs routine and complex laboratory procedures throughout training period. • Operates and maintains equipment and instruments. Education: Doctorate (MD, PhD, VMD, or DDS) in area directly related to field of research specialization. Experience: Works independently on research projects designed by a mentor (typically the PI) within area of specialization. Acquires thorough technical and theoretical knowledge of research project and objectives during one to five (1-5) year post-doctoral appointment. 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

Cedars-Sinai Cancer and the Department of Computational Biomedicine are conducting a nationwide search for early career faculty in the areas of Cancer Bioinformatics and Computational Oncology. Cedars-Sinai Medical Center is one of the nation’s premier healthcare institutions committed to exceptional patient care, leading-edge research and excellence in education. Faculty in Cancer... Bioinformatics and Computational Oncology lead independent research programs focused on developing innovative computational methods for the analysis of multimodal omics and clinical cancer data. Possible areas of research focus include, but are not limited to, advancing methods to integrate complex multiscale and multiomics cancer data, rigorously computational methods for the discovery of cancer driver mutations, development and validation of novel computational drug discovery and drug repurposing pipelines, building novel deep phenotyping methods for patient stratification and to advancing precision medicine, and development of novel clinical outcomes models in oncology. As a faculty member in the Department of Computational Biomedicine and Cedars-Sinai Cancer, you are expected to establish an independent and innovative methodological research program, be involved in collaborative research with medical, basic science, and population science investigators, and actively participate in our educational mission. Our compensation philosophy: We offer competitive total compensation that includes pay, benefits, and other incentive programs for our employees. The base pay range shown takes into account the wide range of factors that are considered in making compensation decisions including knowledge/skills; relevant experience and training; education/certifications/licensure; and other business and organizational factors. This base pay range does not include our comprehensive benefits package and any incentive payments that may be applicable to this role. Pay Range: $71,094 - $265,200 Base Compensation Qualifications • Qualifications: · Ph.D. in Biomedical Informatics, Bioinformatics, Health AI, Computer Science, Data Sciences, Artificial Intelligence, or related field · Track record of publications in high-impact cancer research journals · Ability to develop and maintain an extramurally funded research program · Track record of designing, developing, and validating innovative computational methods for high impact cancer research challenges · Excellent communication and collaboration skills Application Instructions To Apply: Please submit the following, addressed to Nicholas Tatonetti, PhD at Cedars-Sinai Cancer: 1. A curriculum vitae; 2. Cover letter; 3. Names of three references

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

Job Summary: The UW-Madison Department of Bacteriology (https://bact.wisc.edu) seeks to hire a Research Cyberinfrastructure Specialist to support expanding computational microbiology research in our department. The research enterprise in the Department of Bacteriology encompasses premier research laboratories and facilities with missions to explore fundamental and complex questions in... microbiology, microbial ecology, and virology. The Research Cyberinfrastructure Specialist will advance the development and use of high-performance shared computing systems supporting diverse computational research in the Department of Bacteriology. This Research Cyberinfrastructure Specialist position reports to Dr. Karthik Anantharaman, and works closely with the faculty, staff, and members of the Department of Bacteriology. Responsibilities: Applies computational, computer science, data science, and cyber infrastructure (CI) research and development principles to provide advanced and varied consultation on research and technology integration and development. Provides non-routine maintenance, planning, and advanced troubleshooting to ensure CI resources meet research needs. Provides guidance and training to other staff and serves as subject matter expert for internal stakeholders. • 25% Serves as a CI domain expert, provides direct support of users, other staff providing support of users, and advanced computing systems • 25% Provides expertise and experience in CI to lead troubleshooting, analysis, operation, and support of advanced computing systems and for research • 35% Develops unique and custom Cyber Infrastructure solutions for research needs • 10% Writes and updates documentation and tutorials supporting CI activities for research. May provide brief courses for internal researchers and external collaborators • 5% Provides consultation and expertise for research proposals. May act as technical lead for cyber infrastructure projects. May serve as Co-Principal Investigator for a proposal Tasks: • Work with faculty, students and other researchers to understand their research needs and assist in experimental design and development of highly complex research methodologies that use high-throughput computing/bioinformatics. • Works with supervisor to set time committed to different research groups, maintains a record of the individuals who have been helped and the training or research outcomes • Analysis, operation, and troubleshooting of computational bioinformatics research • Promote and advocate the use of shared campus computational resources (such as CHTC) amongst researchers. • Provide assistance in interfacing with shared campus computational resources and enable training of researchers. • Assist researchers in integrating shared campus computational resources into their extramural grant applications. • Conduct assessments of continuous improvement. Continue to look for areas of improvement, research then develop processes, and then document/communication/train on those new processes. Institutional Statement on Diversity: Diversity is a source of strength, creativity, and innovation for UW-Madison. We value the contributions of each person and respect the profound ways their identity, culture, background, experience, status, abilities, and opinion enrich the university community. We commit ourselves to the pursuit of excellence in teaching, research, outreach, and diversity as inextricably linked goals. The University of Wisconsin-Madison fulfills its public mission by creating a welcoming and inclusive community for people from every background - people who as students, faculty, and staff serve Wisconsin and the world. For more information on diversity and inclusion on campus, please visit: Diversity and Inclusion Education: Required Master's Degree Advanced degree in the biological sciences with a demonstrated track-record of bioinformatics/computational biology research (evidenced, for example, through peer-reviewed publications) Qualifications: - Advanced degree preferred in the biological sciences with a demonstrated track-record of bioinformatics/computational biology research - Bioinformatics experience in a broad array of areas, such as sequence analysis, protein analysis, metabolomics, etc. - Familiarity with Unix-based systems and demonstrated ability to code in at least one language (e.g. Perl, Python, etc). - Must be able to work constructively in a group setting Additional skills desired for the position: - Evidence of multi-disciplinary research collaboration across different fields of biology - Experience with high-throughput computing - Strong organization skills, evidence of independence, attention to detail, and ability to interact and manage a wide diversity of projects and researchers (faculty, students, technicians, etc). Work Type: Full Time: 100% Onsite with potential to migrate to hybrid in the future Appointment Type, Duration: Ongoing/Renewable Salary: Minimum $63,800 ANNUAL (12 months) Depending on Qualifications Additional Information: - The UW-Madison College of Agricultural and Life Sciences is committed to maintaining and growing a culture that embraces diversity, inclusion and equity, believing that these values are foundational elements of our excellence and fundamental components of a positive and enriching learning and working environment for all students, faculty and staff. At CALS, we acknowledge that bias, prejudice, racism, and hate have historically occurred in many forms that cause significant and lasting harm to members of our community. We commit to taking actions each day toward a college that is inclusive and welcoming to all. - A criminal background check will be conducted prior to hiring. - A period of evaluation will be required. How to Apply: Please click on the "Apply Now" button to begin the application process. The applicant tracking system will require that you either log in or create an account. Be prepared to upload ONE PDF document containing: 1) a current resume/CV; 2) a cover letter briefly describing your qualifications relative to this position as well as your vision for the position; and 3) Contact information for three (3) professional references, including at least one current or former supervisor. Contact: Karthik Anantharaman karthik@bact.wisc.edu 608-265-4637 Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information. Official Title: Research CI Spec II(RE074) Department(s): A07-COL OF AG & LIFE SCIENCES/BACTERIOLOGY Employment Class: Academic Staff-Renewable Job Number: 278282-AS The University of Wisconsin-Madison is an Equal Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence through diversity and encourage all qualified individuals to apply. If you need to request an accommodation because of a disability, you can find information about how to make a request at the following website: https://employeedisabilities.wisc.edu/disability-accommodation-information-for-applicants/ Employment will require a criminal background check. It will also require you and your references to answer questions regarding sexual violence and sexual harassment. The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7). The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the University of Wisconsin Police Department

• Project involves developing multi-omics directed graph networks based on causal inference framework based on multiple data types (e.g., clinical, RNA-seq, epigenetic, proteomic, and/or genetic data). • Must be expert in at least one area of causal inference such as interpretable machine learning or data fusion problem, e.g., to reduce space of plausible causal relationships and how data from... multiple sources can be combined to make causal inferences. • Experience with machine learning in the context of causal inference, so that the predictive models are more than just a black box, is strongly desired. • Ideal candidate is experienced in both genomic data, causal inference, and machine learning, but the latter two are the most important. What are the top 3-5 skills, experience or education required for this position: • Machine Learning • scRNASeq data Analysis • OMICS Data preprocessing and Analysis What is a nice to have (but not required) regarding skills, experience, education, or certification: Bayesian causal modeling and Inference, Experience in Real World Data Analysis In what type of environment, would this individual be working? (i.e.: Team; Individual; type of office, etc) Team • Designs, deploys and maintains various cross-functional solutions, business processes, and associated technologies such as statistical computing environment, metadata repository, output delivery depot and standard macro library. • Delivers optimization of end-to-end business processes that enable quality and efficiency such as process maps, SOPs, and work instructions. Drives change management by conceiving and operationalizing innovation and facilitating adoption across teams. • Engages with multi-disciplinary experts to influence, elicit, analyze and document business requirements and translate into technology functional requirements. Leverages project management tools and software development methodologies to manage resources, mitigate risk and deliver on commitments. • Evaluates and recommends: upcoming industry trends, best practices, cutting-edge tools and novel programming approaches that leverage machine learning, simulation, robotic automation, metadata driven processes, artificial intelligence and natural language processing. • Ensures adherence to global and local agency regulations, good clinical practices (GCP), ICH guidelines, SOP's and functional quality standards. Qualifications: • B.S. in computer science, data science, statistics or a related field with 1-3 years of relevant experience. M.S. preferred. • Demonstrated understanding of clinical research with emphasis on statistical programming. • Fundamental knowledge of CDISC standards and CDISC compliant submission requirements. • Intermediate-level proficiency in SAS, R, python, shell scripting or other programming languages. Intermediate-level knowledge of statistical and data mining techniques. • Demonstrated problem-solving, analytical and multitasking skills. • Ability to effectively communicate complex analytical and technical concepts with clarity, both written and oral. • Programming certifications and proficiency in multiple programming languages desirable. • Familiarity with various programming paradigms and IT system architectures desirable