Bioinformatics Jobs

Bioinformatics Analyst IV Job ID: req2734... Employee Type: exempt full-time Division: Bioinformatics and Computational Science Facility: NIH Location: NIH Campus 9000 Rockville Pike, Bethesda, MD 20892 USA The Frederick National Laboratory is a Federally Funded Research and Development Center (FFRDC) sponsored by the National Cancer Institute (NCI) and operated by Leidos Biomedical Research, Inc. The lab addresses some of the most urgent and intractable problems in the biomedical sciences in cancer and AIDS, drug development and first-in-human clinical trials, applications of nanotechnology in medicine, and rapid response to emerging threats of infectious diseases. Accountability, Compassion, Collaboration, Dedication, Integrity and Versatility; it's the FNL way. PROGRAM DESCIRPTION The Frederick National Laboratory is dedicated to improving human health through the discovery and innovation in the biomedical sciences, focusing on cancer, AIDS and emerging infectious diseases. The Bioinformatics and Computational Science (BACS) directorate works collaboratively and helps to fulfill the mission of Frederick National Laboratory in the areas of biomedical informatics and data science by developing and applying world leading data science and computing technologies to basic and applied biomedical research challenges, supporting critical operations, developing and delivering national data resources, and employing leading-edge software and data science. The Advanced Biomedical and Computational Science (ABCS) group is a part of BACS within Leidos Biomedical Research as a technological hub of translational scientists with expertise in structural biology, biology, chemistry, imaging, and informatics. ABCS develops state-of-the-art technologies in large-scale data modeling, analysis, and integration and supports the scientific research at the Frederick National Lab by helping translate scientific questions to technical solutions for cancer and biomedical research. KEY ROLES/RESPONSIBILITIES • As part of the CCR Collaborative Bioinformatics Resource (CCBR), provide collaborative bioinformatics support to the investigators in Center for Cancer Research, National Cancer • Collect and review data; analyze and interpret data and results; provide reports based on analysis of scientific data, and report research outcomes to make recommendations for future work • Develop and maintain Data Management pipelines for next-generation sequencing data (including but not limited to transcriptomics, proteomics, epigenetic data) • Work with staff on data visualization to support the preparation of presentations and manuscripts for submission to scientific journals • Consult with members of the group to guide experimental design, carrying out primary/secondary data analysis on generated data • Assist the group in submitting data to public genomic databases, such as GEO, dbGaP in compliance with the NIH Genomic Data Sharing Policy • Train PostDocs and other staff to use NGS and other genomic analysis tools • Develop other bioinformatic pipelines for processing genomic data such as ChIP-seq, DNAse-seq, single-cell sequencing, etc. • Attend relevant branch and lab meetings and provide guidance and inputs on experiment design and accurate statistical inference • Provide technical mentoring and project support for junior team members • Identify new opportunities for enhancing CCBR's scientific impact and operational efficiency • Will have a responsibility to work with the BIDS PAO as may be required BASIC QUALIFICATIONS To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below: • Possession of Master's degree from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) or six (6) years relevant experience in lieu of degree. Foreign degrees must be evaluated for U.S. equivalency • In addition to the education requirement, a minimum of ten (10) years of progressively responsible experience • Some knowledge of Unix command line or scripting languages • Ability to obtain and maintain a security clearance PREFERRED QUALIFICATIONS Candidates with these desired skills will be given preferential consideration: • Possession of a Ph.D. degree in any quantitative science is preferred • Commitment to solving biological problems and communicating these solutions • Ability to multi-task across projects • Experience in submitting data sets to public repositories • Management of large genomic data sets including integration with data available from public sources • Prior customer-facing role • Record of scientific achievements including journal publications and conference presentations • Experience with multi-omic integration of NGS datasets EXPECTED COMPETENCIES • Deep understanding of and experience in processing high throughput biomedical data: data cleaning, normalization, analysis, interpretation, and visualization • Ability to understand and analyze data from complex experimental designs • Proficiency in at least two of the following programming languages: Python, R, Perl, Java, and C/C++ • Experience in at least two of the following areas: Exome sequencing, metagenomics, ChIPSeq, RNASeq, DHS-Seq, microarray analysis, DNA methylation analysis, single-cell transcriptomics • Familiarity with public databases: NCBI, Ensembl, TCGA, cBioPortal, Broad FireHose • Knowledge of working in a cluster environment Equal Opportunity Employer (EOE) | Minority/Female/Disabled/Veteran (M/F/D/V) | Drug Free Workplace (DFW) #readytowork

Bioinformatics Analysts work under the supervision of the PI, research scientist, or department head, to analyze complex bioinformatics research. Typical projects include, but are not limited to: all classes of High Throughput Sequence (HTS) data analysis (DNA Seq, mRNA Seq, ChIP Seq, micro RNA Seq etc); experimental design; data integration; algorithm development; statistical analysis of data... development of workflows and implementing new analytical methods; evaluation/testing of software/database systems, analytical tools and technology; user interface, data, and functional requirements for software/database systems involving significant biological content; and delivering training to the research community. Characteristic distinctions from level I to level III include increased ability to work independently, increased breath of bioinformatics knowledge and tools, and increased understanding of the biological research domains. Level III analysts may pursue limited co-pi collaborations with research faculty. Senior/Lead supervises other bioinformatics employees and leads and manages bioinformatics projects, and may serve as co-pi to research faculty. Key Responsibilities & Essential Functions: Level II Analyst duties include statistical analysis, algorithm implementation, programming and workflow implementation, presenting and interpreting results of analysis. Conducting and interpreting quality assurance analysis of data. Developing requirements and implementing database systems. Assists in preparation of manuscripts and grant applications. Manages multiple tasks with direction and some assistance from supervisor or mentor. Other Knowledge, Skills, and Abilities: Level II requires MS or PhD degree in Statistics, Computer Science or relevant quantitative sciences. Incumbents who have not achieved a Ph.D., may compensate with a Masters degree and at least five years of professional work experience in bioinformatics. Works with limited supervision. Bioinformatician will be expected to maintain data resources and provide analysis support for a wide range of experimental data types in the context of aging research with the Jackson Nathan Shock Center. Degree & Specialization Requirements: MS or PhD degree in Statistics, Computer Science or relevant quantitative sciences Education Required: BS with 8+ or MS with 6+ or PhD with 3+ years of relevant bioinformatics experience in inter-disciplinary computational research in a university, hospital or biotechnology environment. Education Preferred: Doctorate Degree Experience Required: 5 years Experience Preferred: 5 years About JAX The Jackson Laboratory (JAX) is an independent, nonprofit biomedical research institution with more than 2,400 employees. Headquartered in Bar Harbor, Maine, it has a National Cancer Institute-designated Cancer Center in Augusta, Maine, a genomic medicine institute in Farmington, Connecticut, and facilities in Ellsworth, Maine, Sacramento, California, and Shanghai, China. Its mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health. JAX employees work in a collaborative, value-driven, and team-based environment where the focus is on advancing science and improving patients’ lives. Researchers apply genetics to increase the understanding of human disease and advance treatments and cures for cancer, neurological and immune disorders, diabetes, aging, and heart disease. JAX was voted among the top 15 “Best Places to Work in Academia” in the United States in a poll conducted by The Scientist magazine! EEO Statement The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications protected by applicable state and local non-discrimination laws

We are looking for a Bioinformatics Scientist to work in close collaboration with other scientists from diverse fields. You will develop and maintain innovative bioinformatics applications and analytics pipelines running on high-performance computing platforms. The analyses and applications are for diverse scientific purposes, such as whole genome sequencing, variant analysis, siRNAs, ASOs... CRISPR genome editing, etc. Working in a bioinformatics core will also give you the opportunity to participate in cross-functional collaborations in many facets of research and development, ranging from early therapeutic target discovery through to the assessment of late-stage antibodies and other biologics that drive Regeneron’s therapeutics. As a Staff Scientist, a typical day might include the following: • Develop and maintain bioinformatics pipelines and carry out bioinformatics analysis using languages such as Shell, Python, and R. • Use HPC platforms in a Linux environment to accelerate and optimize pipelines and analyses. • Collaborate closely with experimentalists to understand their scientific and experimental needs and suggest appropriate computational approaches to shape future tech development. The scientist may also initiate novel research collaborations with other computational or lab-based biologists. • Work with other bioinformaticians to enhance existing pipelines, share methodologies, and develop best practices. • Conduct independent computational biology research aligned with the department's overall goals. This job might be for you if: • Improving health outcomes is what drives your science. • You are passionate about understanding and applying efficient computational methods to accelerate biological research. • You have a strong work ethic and are proactive in providing solutions to foster scientific collaborations and drive projects forward. • Can effectively communicate complex concepts to collaborators from a wide range of backgrounds. To be considered for this role, you must have a PhD degree in Computational Biology, Bioinformatics, Computer Science, and related fields or life science discipline with a heavy bioinformatics component. Experience with conducting bioinformatics analysis and building pipelines (e.g. next-generation sequencing analysis, querying biological databases). Strong background (2 years) in at least one of the following scripting languages: Python, R, Perl. Strong familiarity in working in a Linux environment and shell scripting. Strong familiarity with HPC. Familiarity with code version control systems such as git. Experience with front-end web application development would be a plus. Experience with database management systems such as MySQL, SQL Server, Oracle, PostgreSQL a plus. Experience managing a team would be a plus. Experience with biostatistics and machine learning approaches would be a plus. #LI-hybrid 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 comprehensive benefits including health and wellness programs, fitness centers and equity awards, annual bonuses, and paid time off for eligible 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 parental 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. The salary ranges provided are shown in accordance with U.S. law and apply to U.S. based positions, where the hired candidate will be located in the U.S. If you are outside the U.S, please speak with your recruiter about salaries and benefits in your location. Salary Range (annually) $121,200.00 - $197,800.00

The University of Texas Southwestern Medical Center (UTSW), one of the premier academic medical centers in the nation, integrates pioneering biomedical research with exceptional clinical care and education. The institution’s faculty has received six Nobel Prizes and includes 25 members of the National Academy of Sciences, 17 members of the National Academy of Medicine, and 14 Howard Hughes... Medical Institute Investigators. The full-time faculty of more than 2,800, who garner more than $524 million in annual grant funding for research, is responsible for groundbreaking medical advances and is committed to translating science-driven research quickly to new clinical treatments. UTSW physicians provide care in about ~80 specialties to more than 117,000 hospitalized patients, more than 360,000 emergency room cases, and oversee nearly 3 million outpatient visits a year.The Peter O’Donnell Jr. School of Public Health will provide unique academic and research opportunities within a culturally rich environment that has Dallas ranked No. 4 in diversity among U.S. cities. The 7.8 million people in Dallas-Fort Worth reside in 13 counties across 9,000 square miles. The majority-minority population is 41 percent Hispanic and 25 percent African American. Public health needs in the region are great; ~20 percent of our region’s population are foreign born, speak Spanish only, and lack health insurance.Duties and Responsibilities: The Peter O’Donnell Jr. School of Public Health and the Quantitative Biomedical Research Center at the University of Texas Southwestern Medical Center (UTSW) are seeking a bioinformatician as a research track faculty member. Candidates may have interest and experience in computational biology and bioinformatics analysis of -omics data, NGS data, or imaging data. These positions offer career opportunities in advancing bioinformatics and project management skills.The appointments will be in the O’Donnell School of Public Health, with the Quantitative Biomedical Research Center (QBRC). The QBRC is a well-established research center at UTSW that develops innovative quantitative and data science methodology and fosters collaborations involving quantitative methods and technologies in all aspects of biomedical research. The QBRC engages in diverse clinical, translational, and biological studies in many applied areas such as clinical trials, genomics, imaging, epidemiology, outcomes and population-based studies.Position Qualifications: The successful applicant will have a PhD in Bioinformatics, Computation Biology, Biostatistics, Statistics, Computer Science, Engineering, Biomedical Sciences or related field with experience in data analytics. Appointment will be commensurate with accomplishments and experience. Applications: Qualified candidates should apply online and upload a cover letter, curriculum vitae, and a written statement that describes your commitment to diversity, equity, and inclusion.This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information.UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. As an equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status. To learn more, please visit: https://jobs.utsouthwestern.edu/why-work-here/diversity-inclusion

We're hiring Bioinformatics Scientists with strong backgrounds in database development, management and analysis as they relate to human health and disease biomarkers, with the goal of improving disease prediction and prevention. With ICR, you'll get to... • Design, build, test and refine multiple large biomarker databases in collaboration with multiple ICR teams • Work with biological data analysts to access and improve large databases of health and disease biomarkers for use in predictive analytics and predictive modeling • Conduct complex bioinformatics analyses on large genomic, transcriptomic and epigenetic data from biofluids and cell lines as well as large protein, cfDNA, miRNA and epigenetic datasets • Design and build streamlined pipelines and algorithms for database querying and multiple other applications to support complex dataset analyses Please apply if you have: • An advanced degree in Bioinformatics or Computer Sciences with a focus on database architecture, access and querying • Extensive database architecture experience (e.g. SQL, MySQL, etc) • Extensive programming experience and intimate knowledge of programming languages for statistical analysis • Experience mining, analyzing and exploring genomic, epigenetic, transcriptomic (RNAseq), proteomic, metabolomic, and other -omic datasets Ideally, you'll also have: • Extensive working knowledge of various AI/machine-learning algorithms and their implementation in biological dataset analysis • A solid understanding of and appreciation for Bayesian statistics and methods • Personal interest in using statistics to evaluate disease models and aging biology And you'll need: • Ability to work in the United States without sponsorship • A can-do attitude and a friendly, easygoing personality Salary Starting base pay range: $155,000/yr - $230,000/yr Starting additional compensation range: $10,000/yr - $30,000/yr Starting position title and compensation are commensurate with experience

The Company: A Bioinformatics Scientist is needed to join a pioneering early-stage biotech that utilizes micro-technology for ultra-sensitive genomic analysis, based in Boston, Massachusetts. Their unique platform focuses on making single-cell analysis simple and accessible to researchers. You will be a vital member within the Bioinformatics team, focused on the forefront of genomic and cellular... understanding of cancer. The role: • Leading the development of Bioinformatics workflows including RNAseq, ChiP-Seq, proteomics and metabolomics. • Collaborating across teams such as the engineering and bioinformatics teams to ensure workflows are efficient. • Working directly with customers to ensure smooth product deployment. • Implement more sophisticated, bespoke bioinformatics analyses. Requirements: • PhD in Bioinformatics, Computational Biology, Statistics Biology, or other relevant scientific field. • Strong biology background and excellent interpersonal communication skills • Hands-on experience with single cell genomics technologies • Expertise analyzing genomics data, preferable experience with RNAseq data. • Knowledge of both human genetics, oncology, and the genetic variation associated with various types of cancer is a plus! • Knowledge of bioinformatics and data science best practices: exploratory data analysis, quality-control etc. • Experience in Python, R, and/or MATLAB, 3+ years preferred. • Excellent verbal and written communication skills The company are based in the Greater Boston area and work on a hybrid model where you will be required to go into the office 2-3 days a week. The salary offered is $140,000-$170,000. Other benefits include 401(k), Health Insurance, Dental Insurance and many more. Benefits include: competitive compensation packages; Health insurance; stock options; flexible working hours and a hybrid work environment. a.desmit@ Equal Opportunity Employer/Disability/Veterans

POSITION RESPONSIBILITIES Specific Responsibilities... • Processing and mapping raw NGS RNA-seq, ChIP-seq, ATAC-seq, WGBS and other omics datasets. • Analyzing RNA-seq, ChIP-seq, ATAC-seq, WGBS and other omics data sets generated in the lab for investigation of gene and chromatin regulatory networks in stem cells and cancer. • Downloading and processing published and publicly available omics data sets, and integrating them with datasets generated in the lab to investigate mechanisms of gene regulation in stem cells and cancers. • Working with the PI, students and postdocs in the lab to analyze omics data sets for their projects. • Working with collaborators to analyze and process omics data. • Process data for manuscripts, talks, seminars and grants. • As needed learn new pipelines and latest methodologies in the field and apply them to lab research projects. Albert Einstein College of Medicine offers its professional and administrative staff the opportunity to arrange hybrid-remote work or flexible-work schedules, with supervisory approval. The incumbent for this position is eligible for such consideration, and applicants may inquire with the hiring manager or human resources. QUALIFICATIONS • Masters or equivalent degree with a record of course work or experience in bioinformatics. Applicants with a bachelor degree in bioinformatics with strong prior experience will be considered too. • Prior experience in NGS data analysis (i.e. RNA-seq, ChIP-seq, ATAC-seq, WGBS) is required. • Background in biology and genetics is preferred #LI-LA1 Min Max ABOUT US Founded in 1955, the Albert Einstein College of Medicine (Einstein) is one of the nation’s premier institutions for medical education, basic research and clinical investigation. A full-time faculty of some 2,000 conducts research, teaches, and delivers health care in every major biomedical specialty. The college has some 730 medical students, 193 Ph.D. students, 106 MD/Ph.D. students and 275 postdoctoral fellows. Einstein’s major strength, in addition to training physicians and scientists, is its science. During fiscal year 2015, the faculty’s consistently high level of scientific achievement resulted in the awarding of more than $150 million in peer-reviewed grants from the National Institutes of Health (NIH). Einstein is part of Montefiore Medicine Academic Health System, an integrated academic delivery system comprising seven campuses, including 8 hospitals, a multi-county ambulatory network, a new state-of-the art “hospital without beds”, a skilled nursing facility, school of nursing, home health agency, and the state’s first freestanding emergency department. As the University Hospital for the Albert Einstein College of Medicine, Montefiore is a premier academic health system, employing Einstein’s clinical faculty and training Einstein’s medical students, over 1,300 residents, 420 allied health students, and 1,600 nursing students annually. We have also been recognized by Forbes as one of the country's best midsize employers in 2019. Forbes ranked Einstein in the top overall nationally among midsize employers. Einstein ranked 3rd within the education category in New York State and 9th nationally among all midsize education employers. The Albert Einstein College of Medicine is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information. Einstein seeks candidates whose skills, and personal and professional experience, have prepared them to contribute to our commitment to diversity and excellence, and the communities we serve. The Dawlaty Laboratory at the Genetics Department and the Institute for Stem Cell and Regenerative Medicine Research of Albert Einstein College of Medicine in New York City is seeking a bioinformatician to join our team. Our research focuses on understanding the epigenetic mechanisms governing the biology of stem cells, development and cancer with an emphasis on the role of DNA modifying enzymes and chromatin modifications. We utilize embryonic stem cells, induced pluripotent stem cells and mice as model systems and combine bioinformatics, cellular and molecular approaches to study how DNA modifying enzymes reshape the epigenome and regulate cell fate, development and cancer. We are seeking a colleague with extensive expertise in NGS data analysis to analyze RNA-seq, ChIP-seq, ATAC-seq, WGBS and single cell omics datasets generated in the lab for investigation of gene and chromatin regulatory networks in stem cells and cancer

​Location: LOC_HOME-Home/Remote Office Location Req ID: 204171... Shift: Days Employment Status: Regular - Full Time ​About Us We’re seeking breakthrough makers! Children’s Hospital of Philadelphia was built on the belief that we can change lives. Today, in every role throughout our hospital, research institute and care network, the 22,000 members of our workforce are finding new ways – big and small – to make a difference for the patients and families we serve. If you are ready to challenge yourself, be inspired and grow – no matter what your role – you just may be the kind of breakthrough maker who will thrive at CHOP. ​CHOP is proud to share that we are ranked No. 1 on Forbes' 2022 list of America's Best Large Employers! Job Summary The Raymond G. Perelman Center for Cellular and Molecular Therapeutics (CCMT) is dedicated to the understanding, development, and application of gene and related cell and nucleic acid therapies and the promotion of professional and public education in the field. The CCMT fosters a multidisciplinary approach among researchers and scientists working to discover new gene and cell therapies in search of cures for debilitating and life-threatening disorders. The Davidson Laboratory, an integral part of the CCMT, studies neurodegenerative disorders with the goal of finding long term therapies. We are looking for a computer scientist or computational biologist to work alongside researchers providing computational support on projects requiring analysis of high throughput sequencing data. The ideal candidate will have a degree in a relevant field (bioinformatics, computer science, computational biology) or will have experience working with high throughput sequencing data, and a high comfort level using existing bioinformatic tools and pipelines to process these datasets. Proficiency in either Python or R programming languages is strongly encouraged and an ideal candidate will be comfortable developing custom scripts and bioinformatic pipelines to analyze datasets. While working in an inter-disciplinary lab environment applicants will have the opportunity to gain experience with a wide variety of molecular biology techniques including, basic laboratory techniques such as PCR, gel electrophoresis, and DNA/RNA isolation desired, next generation sequencing library preparation, tissue culture work, molecular cloning, and proteomics such as western blotting. Prior experience in any of these specialties is a plus. Job Responsibilities • Pre-Analysis (20%): Contribute to the development of application portfolio by developing knowledge of internally developed systems, open-source programs, and commercial applications. Provide efficient data management support. • Use standard pipelines for data processing and manipulation in advance of performing analysis in a manner that best enables the analysis plan. • Contribute to the development of additional pipeline functionality and changes by providing knowledge of both collaboration-specific requirements and bioinformatics discipline advances. • Advocate for specific collaboration requirements for continual advancement of shared pipeline and code resources. • Provide collaboration-specific transparency for data processing and pre-analysis, including sample- and cohort-level status. • Coding (20%): Code and generally support code and applications on behalf of collaborative project and/or team. • Within the context of the collaboration or project, develop and apply best practices to code development. • Establish requirements with the project team. • Review existing applications and code sources (both commercial and open source) and selection of best strategy for development or adoption. • Advocate for chosen strategy to project team by showing value of approach • Develop best practices for project-based code development, QC, and execution consist with the expectations of specific collaborations. Job Responsibilities (Continued) • Regularly seek peer-to-peer code reviews by participating in informal and formal critical code reviews. • Data Analysis (20%): Analyze data of high complexity by applying sound statistical and commonly accepted bioinformatics methods to -omics data primarily under the direction of the collaborative project team. • Develop robust analysis plans independently with regular peer-to-peer review in both informal and formal settings. • Incorporate more advanced applications and methods into analysis. • Develop at least one specialty analytical or biomedical area that serves the collaborative team. • Collaboration (20%): Establish role within collaborative project team as primary bioinformatics resource. • Contribute to and influence project-level management by serving as bioinformatics point. • Define and promote boundaries of support by assessing all stakeholders, including bioinformatics management, collaborator expectations, and funding levels and mechanisms. • Regularly discuss satisfaction and expectations with collaborators; continually advocate for clear understanding of role. • Develop new collaborations with high degree of supervision. • Academic Output (20%): Develop presentations, grant sections, and manuscript sections with subsequent review by peers and mentors. • Regularly contribute to bioinformatics-focused manuscripts and publications. • Regularly contribute to podium presentations and posters. • Contribute to bioinformatics sections of grant and award proposals. Required Education and Experience Required Education: Bachelor’s Degree Required Experience: • At least three (3) years of experience in applied bioinformatics, genomics, and computational work. • Experience with management and analysis of complex data types. Preferred Education, Experience & Cert/Lic Preferred Education: Master’s Degree in biological or computational discipline Preferred Experience: • Four (4) or more years of experience in applied bioinformatics, genomics, and computational work. • Experience with Python, Perl, or other languages. • Experience with pipeline or workflow development frameworks. • Experience or knowledge of technologies commonly used in biological labs, such as PCR, cloning, electrophoresis gels, and cell culture. Additional Technical Requirements • Strong UNIX/LINUX expertise required. • Proficiency in R or similar commonly used bioinformatics language required. • Proficiency in various open source and commercial bioinformatics resources and software required. • Knowledge of the working mechanism of microarray, NGS, mass spectrometry, or 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, it is of critical importance for the Children’s Hospital of Philadelphia (CHOP) to keep our patients, families and workforce safe and healthy and to support the health of our global community. In keeping with this, CHOP has mandated all workforce members on site at any CHOP location for any portion of their time be vaccinated for COVID-19 as a condition of employment. This mandate also applies to workforce members performing work for CHOP at non-CHOP locations. Additionally, all workforce members based in or regularly scheduled to work at any New Jersey location are mandated to be both vaccinated and boosted for COVID-19, with booster timing consistent with applicable guidelines. The CHOP COVID-19 vaccine mandate is in alignment with applicable local, state and federal mandates. CHOP also requires all workforce members who work in patient care buildings or who provide patient care to receive an annual influenza vaccine. Employees may request exemption consideration for CHOP vaccine requirements for valid religious and medical reasons. Please note start dates may be delayed until candidates are fully immunized or valid exemption requests are reviewed. In addition, candidates other than those in positions with regularly scheduled hours in New Jersey, must attest to not using tobacco products. EEO / VEVRAA Federal Contractor

Position Summary Caris Life Sciences is looking for a sharp, driven and goal-oriented Bioinformatics Scientist to support our bioinformatics and statistical analysis leadership as well as novel biomarker discovery derived from Caris’ proprietary ADAPT Biotargeting SystemTM. These critical roles will work closely with our Bioinformatics & R&D teams to assist in designing experiments, analyzing... complex clinical and translational data sets. We are looking for team-oriented, hands-on professionals with a passion for personalized medicine and innovation in statistical and mathematical analyses. Job Responsibilities • Develop and maintain statistical analytical tools and bioinformatics pipelines. • Conduct analysis on biomarker discovery and clinical diagnostics data. • Consult on experiment design and data interpretation for laboratory research. • Contribute to design and development of informatics infrastructure. • Adhere to coding and documentation standards and manage deliverables for area of responsibility. Required Qualifications • Master’s or PhD in bioinformatics, biostatistics, biomedical engineering, computer science and other related disciplines. • Solid understanding of principles and analytical methodologies in computational biology and bioinformatics. • Hands-on experience of state-of-the-art bioinformatics tools, including NGS and proteomic pipelines strongly preferred. • Proven ability for developing and maintaining bioinformatics pipelines. • Experience in developing database and data-driven applications. • Programming skills with Perl, Python, shell scripting and/or Java. • Skills in statistical analysis and proficiency with statistical package such as R and SAS. • Ability to understand laboratory and clinical data. • Familiarity with clinical trial design and clinical data analysis is highly desirable. • Proficient verbal and written communication skills. Willingness to share and receive information and ideas from all levels of the organization in order to achieve the desired results. • Conditions of Employment: Individual must successfully complete pre-employment process, which includes criminal background check, drug screening and reference verification. Also, individual must be fully vaccinated for COVID-19 by the date of hire to be considered for U.S.-based jobs, if not currently employed by Caris Life Sciences. Training  • All job specific, safety, and compliance training are assigned based on the job functions associated with this employee.   This job description reflects management’s assignment of essential functions. Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time. Caris Life Sciences is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability

The Position Roche Pharma Research and Early Development (pRED), an industry leader in pushing the boundaries of the sciences in drug development, is committed to develop more personalized healthcare solutions at lower cost to society. In order to continuously deliver more efficacious cancer immunotherapy, pRED is constantly utilizing all the data collected from all current and past clinical... trials to maximize the learning of our drugs and to drive fully data-driven decision making. One of such reverse translational efforts aims to establish clinically-relevant knowledge about immune escape mechanisms in cancer. We are looking for a passionate postdoctoral research fellow who will help us push the boundary of response to cancer immunotherapy through integrating OMICs data and applying machine learning. In this postdoc position, you will have the opportunity to: • Work with experts in cancer immunotherapy to analyze the first-hand data from clinical trials and make discoveries that benefit the patients • Contribute to a global data science team through leveraging and developing analytics pipelines and libraries for multiple OMICS data modalities • Publish and share your discoveries with the cancer research community We are looking for a highly motivated individual who has a passion for driving science through technology, spirit of teamwork, and excellent communication skills that will thrive in a multidisciplinary team to deliver best results. A successful candidate will have the following skills or experience: • Ph.D. degree in Bioinformatics, Computer Science, Biostatistics, Applied Mathematics, Applied Physics or related discipline. • Hands-on experience in processing and analyzing Next Generation Sequencing data (DNA-Seq & RNA-Seq) using common bioinformatics pipelines • Proficiency in Python and R • Experience in machine learning is a plus • Knowledge about genetics, immunology, tumor immunology and / or tumor biology and genetics is a plus Relocation benefits are available for this position #LI-PL1 #postdoc Who we are At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity. Unless entitled to a reasonable accommodation under applicable law, employees are required to be fully vaccinated against COVID-19 in accordance with customer requirements, the company’s health and safety obligations and/or applicable law or guidelines. Roche is an equal opportunity employer and strictly prohibits unlawful discrimination based upon an individual’s race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, mental/physical disability, medical condition, marital status, veteran status, or any other characteristic protected by law. If you have a disability and need an accommodation in connection with the on-line application process, please email us at US.Accommodation@roche.com