Bioinformatics Jobs

GRAIL is a healthcare company whose mission is to detect cancer early, when it can be cured. GRAIL is focused on alleviating the global burden of cancer by developing pioneering technology to detect and identify multiple deadly cancer types early. The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science... to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test. GRAIL is headquartered in Menlo Park, CA with locations in Washington, D.C., North Carolina, and the United Kingdom. GRAIL, LLC is a wholly-owned subsidiary of Illumina, Inc. (NASDAQ:ILMN). For more information, please visit www.grail.com. This role is part of a larger computational biology and machine learning group within the Bioinformatics & Data Science team at GRAIL whose work is at the heart of the company’s products: from classifier algorithms for cancer screening to scientific software pipelines for rapid model development. You will work with a diverse group of talents including computational biologists, machine learning engineers, clinical scientists, assay scientists, and product managers. In this role, you will lead the development of inference tools and computational methods to analyze some of the largest, richest biological datasets in the world to derive biological insights and guide product innovation. Your work will result in exciting discoveries in cancer biology, impactful publications, and potential future products. Responsibilities • Design and implement computational or statistical methods to extract biological insights to promote scientific and technical innovation • Model and analyze large, complex NGS datasets using rigorous statistical and machine learning methods to generate insights • Perform end-to-end analyses that include data gathering, processing, analysis, iteration with stakeholders, and presentation / publication of study results • Interact cross-functionally with other teams including assay, software, clinical, operations, product development • Build, present and report analyses that reinforce scientific rigor and quality and which maintain GRAIL’s statistical culture Requirements • PhD in computational biology, bioinformatics, genetics, statistics, computer science, physics, engineering, mathematics, or equivalent preparation and experience • Deep experience and understanding of machine learning and statistics • Demonstrated ability to develop statistical or machine learning methods to uncover new biological insights from large genomics datasets • Proven track record of frequently cited publications, impactful computational tools and methods used by the scientific community, or presentations at international conferences • Strong knowledge in at least one programming language (e.g. R, Python, Go, C++), and proficiency in Linux environment, version control tools, and reproducible research practices • Results-oriented: superb follow-through, drive, and creative problem-solving • Clear, positive, and proactive communicator in verbal and written communications Bonus • Background in cancer genomics and cancer biology The estimated, full-time, annual base pay scale for this position is $111,000 - $136,500. Actual base pay will consider skills, experience, and location. Based on the role, colleagues may be eligible to participate in an annual bonus plan tied to company and individual performance, or an incentive plan. We also offer a long-term incentive plan to align company and colleague success over time. In addition, GRAIL offers a progressive benefit package, including flexible time-off, a 401k with a company match, and alongside our medical, dental, vision plans, carefully selected mindfulness offerings. GRAIL is an Equal Employment Office and Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status. We will reasonably accommodate all individuals with disabilities so that they can participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Following extensive monitoring, consideration of business implications, and advice from internal and external experts, GRAIL US has made the decision to require that all U.S. employees be “Fully Vaccinated” with the COVID-19 vaccine. “Fully Vaccinated” is defined as two weeks after both doses of a two-dose vaccine (e.g. Pfizer or Moderna) or two weeks since a single-dose vaccine (e.g. Johnson & Johnson) has been administered. Absent a qualifying exemption, all GRAIL US employees are to comply with this requirement, including providing documentation of such vaccination status, as a condition of employment. Anyone unable to be vaccinated, either because of a sincerely held religious belief or a medical condition or disability that prevents them from being vaccinated, can request a reasonable accommodation for consideration by GRAIL

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-0068fc4b28d77c4cbdb7e7ce353c5023

Summary The Bioinformatics Analyst II will work in the laboratory of Dr. Pavan Reddy. The Bioinformatics Analyst II will be responsible for taking on highly interdisciplinary projects and key functions in this endeavor, including applying state-of-the-art open-source software for basic and advanced analysis of transcriptomics and proteomics data. The Bioinformatics Analyst II will also analyze... epigenetics (e.g. ChIP-seq) and transcriptomic (e.g. RNA-seq, single cell RNA seq) datasets. The Bioinformatics Analyst will work closely with the team to develop cutting-edge computational tools as the lab expands into new research areas. The Bioinformatics Analyst II should be highly motivated, well organized, manage time effectively, and can work independently as well as part of a team. The Bioinformatics Analyst II will have a background in bioinformatics, computational biology, and/or biostatistics and have experience developing scripts in languages such as Python and/or R. The Bioinformatics Analyst II must be able to work independently with programming languages, such as R, Python, and/or Linux/Unix to autonomously execute genomics pipelines. Job Duties • Manage, plan for, and analyze genomics data, building pipelines as needed • Strategic Planning and Development • Create, maintain and expand computational pipelines for ChIP-seq and RNA-seq • Interpret results by applying and/or developing appropriate statistical and/or machine learning analysis for ChIP-seq and RNA-seq • Collaborate with wet lab scientists to interpret and refine ChIP-seq and RNA-seq analysis, including statistical tests • Develop novel computational and visualization tools to further the analysis and interpretation of data • Prepare reports, charts, and graphs for presentations and publications • Maintain detailed records of computational code and processes • Manage transcriptomics and proteomics data • Search and evaluate scientific literature in support of research projects • Co-author scientific papers • Effectively interact with team members to make important contributions on big problems while ensuring a high standard of scientific rigor Minimum Qualifications • Bachelor's degree in Genetics, Biology, Bioinformatics, Biostatistics, Computational Biology, Computer Science, or a related field • One years of relevant experience Preferred Qualifications • Master's degree and/or PhD in Bioinformatics, Biostatistics, Computational Biology, Computer Science, or a related field • Some background in molecular biology, cellular biology, biochemistry, or cancer biology • Good interpersonal and communication skills • Background in bioinformatics, computational biology, and/or biostatistics and have experience developing scripts in languages such as Python, R, and/or Linux/Unix • Self starter • Able to analyze sequencing data and datasets Baylor College of Medicine requires employees to be fully vaccinated -subject to approved exemptions-against vaccine-preventable diseases including, but not limited to, COVID-19 and influenza. Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer. 13317 CA; CH; SN

Description Expected Starting Salary: 27.60 - 35.28... SUBFUNCTION DEFINITION: Bioinformatics applies biology, computer science, data science, and statistics to analyze and interpret biological and clinical data. REPRESENTATIVE RESPONSIBILITIES •Informatics Curates, annotates and organizes various types of biomedical data (e.g., genomic, clinical, imaging, sequencing) in various formats (e.g., flat files, relational and non-relational databases). Collects and records appropriate metadata. Ensures data are securely stored yet highly accessible to authorized users. •Data Analysis Executes pipelines for curating, processing and analyzing biomedical data of various types (e.g., genomic, clinical, imaging, sequencing). Utilizes existing software to support complex data management tasks (e.g., sequence alignment, variant calling, inter-sample comparison, patient matching/linkage). Utilizes web-based bioinformatics tools and public/proprietary relational databases. Follows standard operating procedures. Works in collaboration with both technology and scientific teams. •Requirements Gathering Interfaces with clinicians/researchers to collect requirements of basic to moderate complexity including user workflows. Contributes to problem-solving and solution evaluation. •Publication Contributes to analyses and publications. Generates reports and figures for publications. Assists with materials for publications and scientific meetings. Works closely with biostaticians on the production of publication and presentation materials. •Software Evaluation & Development Contributes to the evaluation and development of software solutions to support basic to moderately complex data workflows. Under general supervision, assists with implementation and testing efforts. Effectively communicates the status of all efforts to necessary parties. Utilizes project and time management skills to complete projects within specific timeframes. Qualifications EDUCATION/EXPERIENCE Required: •Bachelor's degree in a related field • 0 - 2 years of work experience in a related job discipline Preferred: Strong computer/data reporting and analytical skills Cincinnati Children's is proud to be an Equal Opportunity Employer that values and treasures Diversity, Equity, and Inclusion. We are committed to creating an environment of dignity and respect for all our employees, patients, and families (EEO/AA

Why Mayo Clinic Mayo Clinic is the nation's best hospital (U.S. News & World Report, 2022-2023) and ranked #1 in more specialties than any other care provider. We have a vast array of opportunities ranging from Nursing, Clinical, to Finance, IT, Administrative, Research and Support Services to name a few. Across all locations, you’ll find career opportunities that support diversity, equity and... inclusion. At Mayo Clinic, we invest in you with opportunities for growth and development and our benefits and compensation package are highly competitive. We invite you to be a part of our team where you’ll discover a culture of teamwork, professionalism, mutual respect, and most importantly, a life-changing career! Mayo Clinic offers a variety of employee benefits. For additional information please visit Mayo Clinic Benefits. Eligibility may vary. Position description Under general supervision and guidance: - The analyst/programmer is responsible for the support of moderately complex software-based systems in the supported areas. - Contributes to the design, development, implementation, and maintenance of custom software, or the installation and maintenance of purchased software systems. - Produces documentation such as systems requirements, designs, and plans as requested by the work unit leadership. - Work will be reviewed for quality, timeliness, and adequacy at predetermined milestones. Qualifications Working towards a PhD in Computer Science or related Informatics field with a GPA of 3.0 or greater. Additional qualifications Previous work experience or course work in artificial intelligence and machine learning and use of software packages for data management and statistical analysis is preferred. Experience in coding with Python, R, Java, C++ or other programming languages, along with Linux/UNIX operating systems preferred. Exemption status Non-exempt Compensation Detail This position has a predetermined rate of $24.42 or $30.00 per hour. Benefits eligible Yes Schedule Full Time Hours / Pay period 80 Schedule details Monday-Friday Weekend schedule N/A Remote Yes International Assignment No Site description Mayo Clinic is located in the heart of downtown Rochester, Minnesota, a vibrant, friendly city that provides a highly livable environment for more than 34,000 Mayo staff and students. The city is consistently ranked among the best places to live in the United States because of its affordable cost of living, healthy lifestyle, excellent school systems and exceptionally high quality of life. Recruiter Stephanie Baird EOE As an Affirmative Action and Equal Opportunity Employer Mayo Clinic is committed to creating an inclusive environment that values the diversity of its employees and does not discriminate against any employee or candidate. Women, minorities, veterans, people from the LGBTQ communities and people with disabilities are strongly encouraged to apply to join our teams. Reasonable accommodations to access job openings or to apply for a job are available

Overview OMRF is an independent, not-for-profit biomedical research institute adjacent to the University of Oklahoma Health Sciences Center (OUHSC) campus in Oklahoma City. Oklahoma City offers a dynamic and flourishing downtown area, with low cost of living, short commute times and a diversified economy... 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. Benefits We offer competitive salaries and comprehensive benefits including, medical, dental, and vision insurance, minimum 8% company retirement contribution, vacation and sick leave, paid holidays, onsite café, free onsite fitness center with access to personal trainer, free parking and much more! Relocation assistance available for those located 50 miles outside of Oklahoma City metro and out of state. Learn more about our benefits here. Responsibilities The Nath laboratory is seeking a highly motivated, self-starter senior level scientist with the ability to work with optimal resources and little direct supervision to address important questions in the genetics and genomics of systemic lupus erythematosus (SLE or lupus), an autoimmune disease. Using large-scale genome wise association studies (GWAS), our lab has identified several genes/genetic variants associated with lupus susceptibility. Now we are trying to understand the specific functional effects of those lupus associated genetic variants, using cell lines from patient-derived primary immune cells or tissues. We will apply various modern techniques for studying features of three-dimensional (3D) genomic organization such as 3C, Hi-C, ChIP-Seq, RNA-seq and genome editing using CRISPR/Cas9 based techniques. Successful candidate will be proficient in a wide range of analytical methods and the use of bioinformatics/genetics software for analyzing and interpreting various types of data. Minimum Qualifications Bachelor’s degree in Bioinformatics, Biostatistics, Computer Science, Genetics, Epidemiology, computational sciences or relevant field or a combination of relevant experience and education. Must have knowledge and experience of statistical genetic methods for gene-mapping for complex traits, and computer programming skills (e.g. familiarity with UNIX-like OS, and at least one programming language) are required. Preferred Qualifications Master’s degree in Bioinformatics, Biostatistics, Computer Science, Genetics, Epidemiology, computational sciences or relevant field or Ph.D. in Biostatistics/Bioinformatics desired. The successful applicant is expected to have a strong interest in genetic epidemiology of complex traits and will have experience in both the application/implementation of established methods for genetics association studies, and in methods development

AstraZeneca is a global, science-driven biopharmaceutical company. We are dedicated to discovering, developing, and delivering innovative, meaningful medicines and healthcare solutions that enrich the lives of patients. The vision of AstraZeneca Oncology is to redefine cancer, redefine our solutions to cancer, and restore patients' lives. Within Hematology R&D, we are committed to advancing the... science to deliver life-changing medicines to patients most in need. With a combination-focused pipeline that exploits the power of six scientific platforms (Immuno-Oncology, Tumor Drivers and Resistance, DNA Damage Response, Antibody-drug Conjugates, Cell Therapy and Epigenetics) to help address unmet clinical needs in a host of hematological cancers, we are motivated by a dedication to the scientific discovery and collaboration that will one day help eliminate cancer as a cause of death. This unit has responsibility for the value chain from discovery through to late-stage development, enabling rapid acceleration of promising early-stage assets and life-cycle management programs. The Early Data Science Bioinformatics Oncology team works with our oncology drug project teams throughout the research and early development pipeline, from new target discovery to translational medicine and clinical trials. Our global group aligns its activities to AstraZeneca’s areas of focus in Oncology: tumour drivers & resistance, DNA damage response, immuno-oncology, epigenetics, cell therapies and antibody-drug conjugates. We deliver data-driven, practical insights through the application of computational science to all areas of Oncology portfolio. The group has substantial expertise and a renowned track record in bioinformatics and data science, undertaking both portfolio applied informatics research and the development of innovative capabilities. To meet the growing portfolio in Hematology and the challenges of pre-clinical and clinical big data generation initiatives including DNA sequencing, single-cell and bulk expression, epigenetics, proteomics and CRISPR, we are looking for a new member to our bioinformatics team who is hardworking, motivated and has a strong background and experience in haematological cancers, cancer genetics and epigenetics. • Be an integral part of Hematological drug projects to understand their scientific and technical challenges and proactively impact these using bioinformatics. • Apply data and knowledge analytics to deliver insights driving discovery and development of the next generation of cancer medicines. • Develop and perform innovative computational analyses of multi-modal data from clinical and preclinical samples in AZ’s targeted assets. • Discover new insights from sophisticated biological data via innovative analysis or visualization. • Work with internal groups, collaborators, and external companies to influence generation of data assets and analytical methods. • Build internal analytical capabilities to enable peers and bench scientists to explore and understand complex data. • Contribute to the field of oncology via presentations at conferences and publications in high impact journals. Minimum requirements: • Relevant PhD (or equivalent graduate degree and 1 plus years of experience), combining: • Technical expertise in either bioinformatics, computational biology, biostatistics, mathematical modelling, data science or knowledge engineering. • Working experience and/or deep understanding of the haematological cancers, cell death mechanisms and epigenetics. • R and/or Python programming and visualization expertise, experience with Unix environment and high-performance computing environments, AWS. • Skilled in communicating sophisticated data to a non-expert. • Enthusiasm and persistence in the application of analytical methods to complex biological problems. • Capable of efficiently leading multiple simultaneous projects. • Working effectively within cross-disciplinary science teams. • Experience contributing to the research community through publication, conferences, and code sharing. Desirable requirements: • Working experience with machine learning, artificial-intelligence, Bayesian analytics or other non-traditional approaches to model biological data • Strong publication record. • Strong established network within external bioinformatics and oncology communities. AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements. AstraZeneca requires all US employees to be fully vaccinated for COVID-19 but will consider requests for reasonable accommodations as required by applicable law

The Division of Infectious Diseases and International Health is seeking a talented and passionate Bioinformatics Analyst to support ongoing microbiologic bioinformatics analysis pipelines, as well as develop and explore unique approaches to development for pathogen genomics. The individual will integrate their knowledge and experience into current research and clinical efforts in analyzing... large-scale genomic data with a focus on its applications in the field of microbiology for both clinical and public health use. The primary need will be to maintain, develop, document, and validate comparative genomic analysis for speciation, as well as strain comparison. In addition, there will be need and opportunity for the development of metagenomics pipelines with a need to evaluate antimicrobial resistance surveillance. The candidate will need to collaborate closely with the wet lab technologists and be comfortable handling appropriate private health information required with the clinical work. Drafting timely reports after sequencing has taken place will also be expected. Development in the area of pathogen genomics would be welcome and encouraged. This can include long-read plasmid analysis and comparison to understand mobile resistance, metagenomics, antimicrobial resistance evaluation data sharing, and development in computing efficiencies/pipeline development. There would also be opportunities for collaboration with public health and hospital epidemiology, as there will be a focus on the recent CDC-funded Pathogen Genomic Centers of Excellence. The candidate will be mentored by a bioinformatics lead scientist and a physician scientist. There will also be opportunities to work with outside collaborators on multiple distinct projects, including microbiome, microbe strain relatedness, and developing and designing queries for virulence and resistance genes. The candidate is expected to work on the university-shared high-performance computing infrastructure that is tailor-designed to address the substantial processing, networking, and data moving challenges arising from genomic science. The candidate will also be responsible for writing manuscripts describing their work and presenting at national/international conferences. Job duties include: • Collaborating extensively with investigators and faculty on all aspects of their research projects from experimental design to data processing/analysis/visualization/exploration. • Implementing automated and well-documented NGS analysis workflows for genomic/metagenomics data sets. • Ability to adapt to the highly dynamic nature of the bioinformatics field and contribute to the evaluation, testing, and implementation of new software packages and algorithms. • Acting as a liaison to various data science sections across the University of Virginia, as well as the Public Health Lab, including the Health System data warehouse teams, Biocomplexity Institute, and the academic research computing teams. • Maintaining accurate and validated clinical analysis pipelines for clinical laboratory work as required by the American College of Pathologists. • In addition to the above job responsibilities, other duties may be assigned. Required Knowledge & Skills: • Understanding of next-generation sequencing technologies and their data formats, including Illumina, Nanopore, and PacBio platforms. • Strong knowledge of working in a Linux environment; experience working on a high-performance computing cluster is needed. • Advanced proficiency in Python, Perl, or another scripting language. • Advanced proficiency in R/Python (or other) for data management, data visualization, and statistical analysis. • Experience in using common open-source bioinformatics tools for analyzing next-generation sequence data sets. • Experience working with prokaryotic whole genome sequencing data is desirable. • Experience working with metagenomics/metatranscriptomics data sets for microbiome research is desirable. • Familiarity with both structured (SQL) and/or unstructured (no-SQL) databases or other database management is desirable. • Experience using a workflow management system like Nextflow/Snakemake/WDL-Cromwell to set up, execute, and monitor complex bioinformatics pipelines is desirable. • Familiarity using version control tools like Git/Github. • Motivated, independent, and highly organized. • Excellent written and oral communication skills. Qualified candidates must have: • Education: Master's degree in bioinformatics, genomics, biostatistics, computer science, or a related field. • Experience: Three years of relevant experience. This position is a restricted position and is dependent upon project need, availability of funding, and performance. This is an exempt-level, benefited position. For more information on the benefits at UVA, visit www.hr.virginia.edu/benefits. This position is located in Charlottesville, VA. The position will remain open until filled. The University will perform background checks on all new hires prior to employment. A completed pre-employment health screen is required for this position prior to employment. For more information about UVA and the Charlottesville community, please see http://www.virginia.edu/life/charlottesville and https://embarkcva.com/. COVID Vaccination Requirement and Guidelines Please visit the UVA COVID-19 Job Requirements and Guidelines webpage prior to applying for current information regarding vaccination requirements and guidelines for employment at UVA

​Location: LOC_HOME-Home/Remote Office Location Req ID: 215212... Shift: Days Employment Status: Regular - Full Time Seeking Breakthrough Makers Children’s Hospital of Philadelphia (CHOP)—named America’s 2022 Best Large Employer by Forbes—offers countless ways to change lives. Our diverse community of more than 20,000 Breakthrough Makers will inspire you to pursue passions, develop expertise, and drive innovation. At CHOP, your experience is valued; your voice is heard; and your contributions make a difference for patients and families. Join us as we build on our promise to advance pediatric care—and your career. CHOP’s Commitment to Diversity, Equity, and Inclusion CHOP is committed to building an inclusive culture where employees feel a sense of belonging, connection, and community within their workplace. We are a team dedicated to fostering an environment that allows for all to be their authentic selves. We are focused on attracting, cultivating, and retaining diverse talent who can help us deliver on our mission to be a world leader in the advancement of healthcare for children. We strongly encourage all candidates of diverse backgrounds and lived experiences to apply. Job Summary The Center for Data Driven Discovery (D3b) at The Children’s Hospital of Philadelphia (CHOP) is seeking a passionate level III (senior) Bioinformatics Scientist to join our over 30 professional data engineers, developers, and bioinformatics scientists. The Bioinformatics Scientist will be joining a new translational research unit focused broadly on 1) discovering oncogenic mechanisms of pediatric brain tumors and 2) identifying novel therapeutic targets and 3) development of new tools, packages, and/or applications to facilitate pediatric research and inform clinical trial development. This team will work openly and collaboratively with researchers in the Department of Bioinformatics and Health Informatics (DBHI), the Division of Oncology and Center for Childhood Cancer Research (CCCR) at CHOP, as well as external collaborators. GitHub, Docker, AWS EC2, and/or CAVATICA will be utilized for module development and code review will be practiced routinely with other team members. This scientist will intellectually lead and contribute to manuscripts and grant applications. Job Summary (Continued) The Bioinformatics Scientist will attend team and project meetings and interact daily with other team members. The Scientist will be mentored by Dr. Jo Lynne Rokita within D3b, but will be expected to take a lead, proactive scientific role as a bioinformatics domain expert in 1-2 focus areas within multi-disciplinary teams made up of internal and external collaborators. Ongoing and past projects include: - OpenPedCan (https://github.com/PediatricOpenTargets/OpenPedCan-analysis), in collaboration with DBHI, CCCR, and NIH, expanded from: - OpenPBTA (https://github.com/AlexsLemonade/OpenPBTA-analysis), in collaboration with Alex’s Lemonade Stand Foundation - annoFuse (https://github.com/d3b-center/annoFuse) and shinyFuse (http://shiny.imbei.uni-mainz.de:3838/shinyFuse/) to prioritize and visualize putative oncogenic fusions - Identification of novel immunoepigenetic/immunogenetic/noncoding therapeutic targets and developing a companion RShiny application to mine and plot splicing data - Identification of novel mechanisms of tumor progression to inform priority biomarkers for liquid biopsy and/or deep sequencing Job Responsibilities The successful candidate must have experience in the following areas: a) Experience setting up new analysis pipelines and working in high-performance and/or cloud-based computing environments towards bioinformatics data processing for large-scale projects. b) Code organization and reproducible workflow experience using git, Docker, and R or Python. c) Experience analyzing sequencing data related to cancer, for e.g. - germline or somatic single nucleotide variants (SNVs), indels, structural variations (SVs), fusions, RNA expression data, copy number variants, splicing, epigenomics (ATAC, ChIP-Seq, methylation), single cell data. The successful candidate’s experience with established methods for processing genomics data should allow them to develop new analytical workflows. Candidate strengths are the ability to work in cross-site, multidisciplinary teams with deadlines, being detail-oriented, able to openly communicate. The candidate must be able to manage multiple projects and be prepared to work both independently and on collaborative efforts to complete projects within expected timelines. The candidate should be ready to commit to full data, code, documentation, and open research transparency and reproducibility, will be asked to share their GitHub/Bitbucket handle, and give a project presentation as part of the interview process. This position can be fully remote or hybrid. Required Licenses, Certifications, Registrations None Required Education and Experience Required Education: Master’s Degree Required Experience: At least five (5) years of experience in applied bioinformatics, genomics, and computational work. This experience can be inclusive of a relevant PhD dissertation. Preferred Education, Experience & Cert/Lic • Five (5) or more years of experience in applied bioinformatics, genomics, and computational work. This experience can be inclusive of a relevant PhD dissertation. • Demonstrable experience in project-level data harmonization and integration, including phenotype and genotype harmonization for multi-omics datasets, for cancer data resources is a plus. • Experience or knowledge of technologies commonly used in biological labs, such as next generation sequencing, PCR, cloning, electrophoresis gels, and cell culture. Additional Technical Requirements • Strong UNIX/LINUX expertise required. • Proficiency in R and/or Python required. • Proficiency creating R Shiny applications required. • Proficiency using GitHub and Docker required. • Proficiency in various open source and commercial bioinformatics resources and software required. • Strong knowledge of, and experience with, cancer genomics bioinformatics applications and research preferred. • Knowledge of the working mechanism of microarray, NGS, other high-throughput technologies and awareness of their strengths and weaknesses, as well as applicability to a specific biological problem is preferred. • Familiarity with resources of genomic data sets and analysis tools, such as UCSC Genome Browser, Bioconductor, ENCODE, and NCBI databases is required. • Ability to correctly select and perform statistical tests for most types of genomic data, and to properly interpret their results in the scenario of a specific study is preferred. • Ability to interact with biologists and clinicians during a scientific discussion is required. • Accountability and attention to timelines. • Excellent organization and communication skills with an emphasis on strong presentation skills. • Ability to independently plan and execute analyses of moderate complexity required. • Ability to provide objective validation of results required. • Ability to work in a team environment. To carry out its mission, CHOP is committed to supporting the health of our patients, families, workforce, and global community. As a condition of employment, professionals working onsite—at any CHOP location, for any portion of time—must be vaccinated for COVID-19. Learn more. CHOP also requires employees who work in patient care buildings to receive an annual influenza vaccine. Employees may request exemptions for valid religious and medical reasons. Start dates may be delayed until candidates are immunized or exemption requests are reviewed. EEO / VEVRAA Federal Contractor | Tobacco Statement

The primary purpose of the Research Bioinformatician position is to carry out data preparation responsibilities related to cancer clinical trials, develop skilled statistical programs, perform statistical analysis associated with clinical data and prepare written reports to investigators. In addition, this position prepares statistical considerations for basic trial designs or grants and performs... biostatistical reviews of protocols. KEY FUNCTION: • Statistical Consulting and Collaboration: • Compiles, analyzes and reports statistical data for various projects including, but not limited to manual and computer-aided data abstraction and evaluation, clinical trials, computerized imaging and bioinformatics. • Prepares statistical considerations for basic trial designs and carries out uncomplicated statistical analyses independently, but completes statistical responsibilities for more complex projects with supervision. • Assists faculty in the development of new statistical methodology for measurement and analysis of data. • Applies advanced statistical methods, simulation models, and skilled statistical programming as needed. • Assesses relevant literature as well as existing data, evaluates the quality of data used in reports and assists with preparation and distribution of data for committee and scientific meetings. • Attends project meetings with collaborators with or without supervisor as directed by supervisor. • May present findings at relevant meetings both inside and outside of the institution as requested. • Protocol Review: • Participates in the protocol review process jointly with supervisor. • Statistical Reporting: • Prepares written reports to investigators jointly with supervisor. • May present findings at relevant meetings both inside and outside of the institution as requested. • Other duties as assigned. EDUCATION: Required: Master's degree in Biostatistics, Statistics, Bioinformatics, Mathematics or related field. Preferred: PhD in Biostatistics, Statistics, Bioinformatics, Mathematics or related field. EXPERIENCE: Required: Two years experience with mainframe and/or PC databases, document processing and statistical software such as SAS and S-Plus. With preferred degree, no required experience. It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html Additional Information • Requisition ID: 147658 • Employment Status: Full-Time • Employee Status: Regular • Work Week: Days • Minimum Salary: US Dollar (USD) 81,000 • Midpoint Salary: US Dollar (USD) 101,500 • Maximum Salary : US Dollar (USD) 122,000 • FLSA: exempt and not eligible for overtime pay • Fund Type: Soft • Work Location: Remote (within Texas only) • Pivotal Position: Yes • Science Jobs: Yes