Bioinformatics Jobs

Description Zifo is hiring! We are searching for a talented Bioinformatics Analyst to join our team. This individual will collaborate closely with our Bioinformatics Consulting team to devise and implement solutions for life sciences customers (Pharma, Biotech, FMCG, etc.) in the OMICS field within the United States and Canada... Requirements Responsibilities: Omics Data Analysis: • Perform omics data analysis, from processing raw data to .vcf/generating read/counts/expression profiles. • Perform data normalization, transformation, and statistical bioinformatic analyses as needed. • Perform detailed analyses of genomic, transcriptomic, or proteomic sequences using various bioinformatics tools and techniques. • Develop and implement bioinformatics pipelines using workflow management systems such as Nextflow, CWL, WDL, and Snakemake for the systematic analysis of biological data. Omics Data Engineering: • Possess a good understanding of various omics public databases such as KEGG, Reactome, PDB,etc. and extract relevant information for ingestion and integration. • Contribute to the development of omics data engineering methods, including knowledge graphs. • Build visualizations using power BI/Tableau/Shiny, etc. • Team Collaboration: Collaborate with cross-functional teams to ensure data quality, provide insights, and contribute to research projects and scientific publications. • Continuous Learning: Stay updated with the latest advancements in bioinformatics, molecular biology, and data analysis tools/methodologies. • Adaptability and Learning: Demonstrate a proactive approach to learning and quickly adapt to new technologies and methodologies in the field. Requirements: • Bachelor's or Master’s degree in bioinformatics, Computational Biology, Biological Sciences, or a related field. • 2-4 years of hands-on experience in bioinformatics with a focus on building bioinformatics pipelines. Demonstrated understanding of fundamental concepts in genetics/genomics, molecular and cellular biology, and bioinformatics. • Proficiency in analyzing bioinformatics data such as DNA/RNA/Proteins. Understanding of systems biology tools such as Mol star is a plus. • Strong knowledge and experience in using OMICS databases. Familiarity with OMICS data engineering methods like knowledge graphs or related techniques is a plus. • Solid programming skills in languages such as Nextflow, CWL, WDL, Python, R, or others commonly used in Bioinformatics. • Excellent problem-solving abilities, attention to detail, and effective communication skills. • Customer centricity to deliver at the highest standards and elevate customer experience. • Proficiency in customer coordination and management is essential for this role to ensure exceptional service delivery and client satisfaction. • Proven ability to work both independently and collaboratively in a team environment. Benefits About Zifo: CURIOSITY DRIVEN, SCIENCE FOCUSED, EMPLOYEE BUILT. Our culture is unlike any other, one where we debate, challenge ourselves, and interact with all alike. We are a curious bunch, characterized by our passion to learn and spirit of teamwork. Zifo is a global R&D solutions provider focused on the industries of Pharma, Biotech, Manufacturing QC, Medical Devices, specialty chemicals and other research-based organizations. Our team’s knowledge of science and expertise in technology help Zifo better serve our customers around the globe, including 7 of the Top 10 Biopharma companies. We look for Science – Biotechnology, Pharmaceutical Technology, Biomedical Engineering, Microbiology etc. We possess scientific and technical knowledge and bear professional and personal goals. While we have a “no doors” policy to promote free access within, we do have a tough door to walk in. We search with a two-point agenda – technical competency and cultural adaptability. We offer a competitive compensation package including accrued vacation, medical, dental, vision, 401k with company matching, life insurance, and flexible spending accounts. If you share these sentiments and are prepared for the atypical, then Zifo is your calling! Zifo is an equal opportunity employer, and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

Payroll Title: BIOINFORMATICS PROGR 3 Department: CELLULAR & MOLECULAR MEDICINE Hiring Pay Scale... $91,300 - $164,300 / Year Worksite: Hybrid Remote Appointment Type: Career Appointment Percent: 100% Union: Uncovered Total Openings: 1 Work Schedule: Days, 8 hrs/day, Monday- Friday #127892 Bioinformatics Scientist Filing Deadline: Mon 2/19/2024 Apply Now UC San Diego values equity, diversity, and inclusion. If you are interested in being part of our team, possess the needed licensure and certifications, and feel that you have most of the qualifications and/or transferable skills for a job opening, we strongly encourage you to apply. UCSD Layoff from Career Appointment: Apply by 02/08/2024 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor. Special Selection Applicants: Apply by 02/19/2024. Eligible Special Selection clients should contact their Disability Counselor for assistance. This position will work a hybrid schedule which includes a combination of working both onsite at UCSD Campus in La Jolla, CA and remote. Depending on experience of the selected candidate, this position will be hired at the BIOINFORMATICS PROGR 3 level or BIOINFORMATICS PROGR 4 level. DESCRIPTION The mission of the UCSD Center for Epigenomics is to develop a quantitative and molecular framework to study the function and regulation of the human genome, with the ultimate goal to understand the molecular basis of cancer and other human diseases. Epigenomics is at the forefront of Precision Medicine. The epigenome, a term referring to the state of DNA methylation and the covalent modifications of histone proteins in a cell, plays a central role in regulating the functional output of the genome during development. Changes in the epigenome that result from exposure to stress, pathogenic conditions and during aging can determine the patterns of gene expression and predispose an individual to diseases. Epigenome research promises to significantly improve our understanding of the factors that drive human development and disease. The UCSD Center for Epigenomics works with researchers on the UCSD campus and beyond to foster the application of epigenomic concepts and technologies to clinical, translational, and basic research. Under the direction of the Senior Associate Director, the Bioinformatics Scientist will combine expertise in programming, informatics, and biology to make independent, original contributions to the design and implementation of research studies. The incumbent will be responsible for implementing, running, customizing, and optimizing data analyses pipelines for next generation sequencing (NGS) data from epigenomic assays such as ChIP-seq, RNA-seq, ATAC-seq, Whole Genome Bisulphite Sequencing, PLAC-seq, as well as single-cell RNA- seq and single-cell ATAC-seq. The incumbent will work with supervisors as well as with external collaborators to design and implement integrative data analyses, and prepare results for oral presentation, scientific publications, and grant applications. In addition, the incumbent will help computational resources for the Center by contributing to server maintenance, assisting with internal sample tracking, assessing whether computational resources are sufficient to meet needs, and advising on the purchase of additional resources when necessary. The incumbent will be expected to directly interface with collaborators and larger research consortia regarding data standards, sharing, and dissemination. MINIMUM QUALIFICATIONS • BIOINFORMATICS PROGR 3: Seven years of related experience, education/training, or a Bachelor’s degree in related area plus three years of related experience/training. • BIOINFORMATICS PROGR 4: Eight years of related experience, education/training, or a Bachelor’s degree in related area plus four years of related experience/training. • Thorough knowledge of bioinformatics methods, applications programming, web development and data structures. Thorough theoretical knowledge and independent experimental ability to perform applied bioinformatics in a molecular biology research laboratory or an equivalent combination of education and experience. Strong theoretical knowledge in genomics, biostatistics, and/or computational biology. • Thorough knowledge of bioinformatics programming design, modification and implementation. Thorough knowledge of bioinformatics methods, applications programming, web development and data structures. • Understanding of relational databases, web interfaces, and operating systems. • Strong project management skills. • Thorough knowledge of modern biology and applicable field of research. • Communication skills to work with both technical and non-technical personnel in multiple fields of expertise and at various levels in the organization. Ability to communicate effectively with diverse project partners, on the phone, in person and in writing. Ability to communicate technical information in a clear and concise manner. • Ability to communicate technical information in a clear and concise manner. • Ability to interface with management on a regular basis. • Self motivated, work independently or as part of a team, able to learn quickly, meet deadlines and demonstrate problem solving skills. • Thorough knowledge of web, application and data security concepts and methods. • Demonstrated experience in statistics and programming languages such as Python, Perl, and R. Proficiency with relational databases and programming languages used in the development of web-based database systems (e.g. SQL Server, HTML) is a plus, but not required. • Demonstrated experience generating data reports and data algorithms to generate, abstract, manipulate and analyze complex data types. Proven ability to research, comprehend, gather and organize information to produce clean and concise reports and presentations. • Demonstrated conceptual/theoretical experience in bioinformatics analysis. Demonstrated experience analyzing NGS data. • Thorough knowledge of database development and maintenance and proven experience with biological databases used in biomedical studies • Proficiency with computer hardware and software including different operating system environments (such as Mac, Windows and UNIX). Proven ability to update skills and knowledge as needed. • Enthusiasm and ability to work in a dynamic "start-up" atmosphere similar to what might be found in the biotechnology sector, yet within a vibrant academic research University. • Demonstrated ability to troubleshoot and problem solve in computational work. • Exceptional organizational, problem solving, and analytical skills, and attention to detail. Demonstrated ability to manage large volume of work across multiple projects with multiple teams and collaborations efficiently and meet deadlines with frequent interruptions and changing priorities. • Strong decision making skills and ability to use independent judgment and discretion to quickly set priorities and establish new procedures when needed. Demonstrated ability to research, analyze, recommend, communicate, and implement solutions. Must be able to function successfully with minimal direction. • Demonstrated ability to make innovative contributions to the design of research projects and data analysis strategies. PREFERRED QUALIFICATIONS • PhD degree in Bioinformatics, Computational Biology, or related field. Candidates without a PhD but with exceptional work experience in bioinformatics may also be considered. SPECIAL CONDITIONS • Employment is subject to a criminal background check. • Occasional evenings and weekends may be required. Pay Transparency Act Annual Full Pay Range: $91,300 - $170,700 (will be prorated if the appointment percentage is less than 100%) Hourly Equivalent: $43.73 - $81.75 Factors in determining the appropriate compensation for a role include experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. The Hiring Pay Scale referenced in the job posting is the budgeted salary or hourly range that the University reasonably expects to pay for this position. The Annual Full Pay Range may be broader than what the University anticipates to pay for this position, based on internal equity, budget, and collective bargaining agreements (when applicable). Apply Now If employed by the University of California, you will be required to comply with our Policy on Vaccination Programs, which may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements. If applicable, life-support certifications (BLS, NRP, ACLS, etc.) must include hands-on practice and in-person skills assessment; online-only certification is not acceptable. UC San Diego Health Sciences is comprised of our School of Medicine, Skaggs School of Pharmacy and Pharmaceutical Sciences, The Herbert Wertheim School of Public Health and Human Longevity Science, and our Student Health and Well-Being Department. We have long been at the forefront of translational - or "bench-to-bedside" - research, transforming patient care through discovery and innovation leading to new drugs and technologies. Translational research is carried out every day in the hundreds of clinical trials of promising new therapies offered through UC San Diego Health, and in the drive of our researchers and clinician-scientists who are committed to having a significant impact on patient care. We invite you to join our team! Applications/Resumes are accepted for current job openings only. For full consideration on any job, applications must be received prior to the initial closing date. If a job has an extended deadline, applications/resumes will be considered during the extension period; however, a job may be filled before the extended date is reached. To foster the best possible working and learning environment, UC San Diego strives to cultivate a rich and diverse environment, inclusive and supportive of all students, faculty, staff and visitors. For more information, please visit UC San Diego Principles of Community. UC San Diego Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity or sexual orientation. For the complete University of California nondiscrimination and affirmative action policy see: http://www-hr.ucsd.edu/saa/nondiscr.html UC San Diego is a smoke and tobacco free environment. Please visit smokefree.ucsd.edu for more information. UC San Diego Health maintains a marijuana and drug free environment. Employees may be subject to drug screening

The Duke Clinical Research Institute (DCRI), in partnership with Duke University and the Department of Biostatistics and Bioinformatics (B&B), is investing in the growth of Data Science and... Biostatistics (DS&B). We invite applications for multiple career track faculty positions at any rank in the areas of (1) clinical trial innovation, including complex adaptations, integration of real world evidence, novel endpoints and outcomes; (2) application of generative AI and other new technologies to improve and enhance the clinical research process; (3) clinical research informatics, data engineering, harmonization and architecture; (4) leadership of data/research coordinating centers in trials, registries, consortium and multi-center studies. Successful applicants will join a team of fifteen faculty who are affiliated with DS&B at DCRI, with opportunities for career advancement, leadership of scientific initiatives, and strategic partnership with the clinical therapeutic areas at DCRI. The extensive graduate programs at Duke University, including the B&B Master’s and PhD programs provide opportunities to engage with students. Joint appointments with other departments are possible for appropriate candidates. We are seeking candidates with relevant expertise and commitment to at least one of the following focus areas, however we encourage diverse scientific interests that may encompass multiple domains including these and others. Strong candidates will demonstrate a commitment to innovation and leadership of collaborative clinical research that is synergistic with their independent research. Clinical trials innovation focus: clinical trial innovation, including complex adaptations facilitated by Bayesian methodology, integration of real world evidence, novel endpoints and outcomes. Applicants should hold a Ph.D. in Biostatistics, Statistics, Epidemiology or a related field by the date of the start of their appointment. Data Coordinating Center focus: leadership of data/research coordinating centers in trials, registries, consortium and multicenter studies. Applicants should hold a Ph.D. in Biostatistics, Statistics, Epidemiology or a related field by the date of the start of their appointment. AI focus: enhancing the clinical research process by development of AI solutions, application of AI/ML, generative AI and application of other new technologies. Applicants should hold a Ph.D. in Computer Science, Data Science, Computer Engineering, Statistics, Biostatistics, Biomedical Informatics, or a related field by the date of the start of their appointment. Clinical Research Informatics focus: clinical research informatics, health informatics, data engineering, harmonization and architecture. Applicants should hold a Ph.D. in Biomedical Informatics, Data Science, Bioinformatics, Computer Engineering, Biostatistics, Epidemiology or a related field by the date of the start of their appointment. The application package should include a cover letter accompanied by an up to one-page diversity statement, a curriculum vitae, and a three-page statement of research (organized as one page summary of past research accomplishments and a two-page summary of your future research plans). New graduates are encouraged to submit up to 3 letters of recommendation in support of their application. The diversity statement should address (1) What experience and interpersonal skills the candidate has that will support equity, diversity and inclusion (EDI) in the workplace; (2) How their scientific work contributes or will contribute to advancing equity. Please find additional materials about EDI at DCRI and B&B here: https://dcri.org/about/who-we-are/, https://dcri.org/about/25th-anniversary/health-equity/, https://biostat.duke.edu/about/equity-diversity-and-inclusion. Review of applications is ongoing. Applications are welcome

Come to work each day with an inclusive and collaborative business technology team. As an Bioinformatics Lead Scientist in AbbVie Business Technology Solutions (BTS), you'll have opportunities to contribute to the digital transformation of a leading biopharma company, helping to create solutions that impact patients and their communities for the better. The Scientific Informatics group at ABC... supports R&D activities at the AbbVie Bioresearch Center that focuses on immunology and biologics therapeutic development. Our mission is to transform healthcare through the development of groundbreaking therapies that improve patient outcomes. We are seeking a highly skilled Lead Bioinformatics Scientist with expertise in biologics drug discovery and sequence analysis to join our dynamic team. As the Lead Bioinformatics Scientist, you will play a pivotal role in driving our biologics drug discovery programs forward by leveraging advanced bioinformatics techniques and managing a team of talented junior developers, data scientists, and bioinformaticians. The successful candidate will collaborate closely with cross-functional teams to analyze complex biological data, identify key patterns, and contribute to the development of novel therapeutic approaches. Candidate Responsibilities: Team Leadership: Lead and mentor a team of 1-2 junior developers, data scientists, and bioinformaticians. Foster a collaborative and innovative team culture to achieve departmental and company objectives. Provide technical guidance, training, and support to team members. Biologics Drug Discovery: Design and implement bioinformatics strategies for the analysis of biological data related to biologics drug discovery. Collaborate with research and development teams to integrate bioinformatics insights into drug discovery pipelines. Stay abreast of industry trends and advancements in biologics drug discovery to drive innovation within the team. Sequence Analysis: Develop and implement cutting-edge algorithms and tools for the analysis of biological sequences. Utilize sequence analysis techniques to extract meaningful information and contribute to the understanding of therapeutic targets. Stay current with emerging technologies and methodologies in sequence analysis. Collaboration: Work closely with cross-functional teams, including molecular biologists, chemists, and computational scientists, to achieve project goals. Communicate complex bioinformatics concepts and findings effectively to non-expert stakeholders. Qualifications: • B.S. in STEM with a minimum of 7 years experience or, Masters Degree in STEM with 6 years of experience or, PhD in STEM with 2 years of experience. • Proven expertise in bioinformatics with a focus on biologics drug discovery and sequence analysis. • Strong programming skills in languages such as Python, R, or Java. • Experience with relevant bioinformatics tools, databases, and resources. • Demonstrated leadership experience in managing and mentoring multidisciplinary teams. • Excellent communication and collaboration skills. Why Business Technology Solutions For anyone who wants to use technology and data to make a difference in people's lives, shape the digital transformation of a leading biopharmaceutical company, and secure sustainable career growth within a diverse, global team: we're ready for you

Bioinformatics Engineer 8945 Client Durham (RTP), NC... Qualifications: - B.S. in Bioinformatics or a closely related discipline - M.S. preferred - Minimum 3 years' experience in a sequencing center/group. - Knowledge of R a plus. Strong programming skills including knowledge of a scripting language such as Python or Perl Ability to interact with a diverse scientific team Be self-motivated Responsibilities: - Help design and automate next generation sequencing pipelines - Construct and manage databases - Test, evaluate, and document Client software applications - Populate databases with existing data Thanks and regards

Overview RTI International’s Center for Informatics has an opening for Bioinformatics Lead to develop and support technical projects that involve interdisciplinary approaches and range widely in bioinformatics applications, size and scope. This role will lead and contribute to projects with federal/state agencies, research universities and the wider bioinformatics community that seek to sue and... advance interoperable healthcare data for research and clinical care. Candidate would support proposal development and project delivery through designing, developing, modifying, adapting and implementing short- and long-term solutions to interdisciplinary teams. These projects and proposals will focus on developing systems using informatics approaches to support our ability to organize, find, and analyze biological data. Additionally, the role addresses information technology (IT) needs through creation and enhancement of applications, systems architecture, network systems and applications infrastructure in collaboration with central IT groups within RTI. Responsibilities Responsibilities: • Reviews system requirements and business processes; codes, tests, debugs and implements software • Designs, develops, tests, debugs and implements operating systems components, software tools and utilities and/ or mentors staff on related tasks. • Determines systems software design • Ensures that system improvements are successfully implemented and monitored to increase • Generates systems software engineering policies, standards and • Seeks out new business development opportunities. • Oversee and mentor informatics staff on projects and technical implementations. Qualifications Qualifications: • Bachelor’s degree in Informatics, Bioinformatics, Computer Science, etc and 12 years of relevant experience or combination of education of experience. This includes a Master’s degree and 10 years or a PhD and 6 years of experience. • Excellent knowledge of MS Word, Outlook, PowerPoint, • Ability to prioritize multiple • Ability to work well with • Ability to listen and communicate well both verbally and in • Ability to work • Attention to detail and • Ability to obtain proper security clearances as noted by • Demonstration of the RTI Values and Lead Forward behaviors by all employees is critical to the Institute’s Behaviors associated with our Values and Lead Forward can been found on RTI Insider and Careers page. Preferred Specialist Skills: • Expertise in developing complex technical solutions focused on data-driven decision making and metadata management • Bioinformatics expertise • Workflow development languages (WDL) • Machine Learning and Natural Language Processing experience #LI-KV1 EEO & Pay Equity Statements For San Francisco, CA USA Job Postings Only: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Further information is available here. The anticipated pay range for this role is listed below. Our pay ranges represent national averages and may vary by location as a geographic differential may be applied to some locations within the United States. RTI considers multiple factors when making an offer including, for example: established salary range, internal budget, business needs, and education and years of work experience possessed by the applicant. Further, salary is merely one element to our offer. At RTI, we demonstrate our commitment to rewarding individual and team achievement through a total rewards package. This package includes (among other things) a competitive base salary, a generous paid time off policy, merit based annual increases, bonus opportunities and a robust recognition program. Other benefits include a competitive range of insurance plans (including health, dental, life, and short-term and long-term disability), access to a retirement savings program such as a 401(k) plan, paid parental leave for all parents, financial assistance with adoption expenses or infertility treatments, financial reimbursement for education and developmental opportunities, an employee assistance program, and numerous other offerings to support a healthy work-life balance. Equal Pay Act Minimum/Range $137,000 - $169,000

School of Medicine Established in 1930, Duke University School of Medicine is the youngest of the nation's top medical schools. Ranked sixth among medical schools in the nation, the School takes pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental... scientific discoveries to improve human health locally and around the globe. Composed of more than 2,500 faculty physicians and researchers, more than 1,300 students, and more than 6,000 staff, the Duke University School of Medicine along with the Duke University School of Nursing, Duke University Health System and the Private Diagnostic Clinic (PDC) comprise Duke Health. a world-class academic medical center. The Health System encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Primary Care, Duke Home and Hospice, Duke Health and Wellness, and multiple affiliations. Description The Sequencing and Genomics Technologies (SGT) Core Facility at Duke University is hiring a Bioinformatician! The successful candidate will lead bioinformatic analyses for a broad range of genomics projects. The candidate will consult and collaborate with researchers and scientists from multiple disciplines across Duke’s campus on projects utilizing high-throughput next-generation sequencing and provide quality analyses on high-throughput sequencing data sets. The candidate will also support the SGT to analyze new experimental methods. Due to the need to engage in multiple collaborations simultaneously, it is critical that this person has excellent organizational and time management skills, and the ability to manage and prioritize commitments to projects effectively. Additionally, the incumbent will have exceptional written and verbal communication skills, a willingness to learn, and actively supports an inclusive and collaborative work environment. This position reports to the Director and has the potential to grow into a management position. We highly encourage candidates that identify with a marginalized or underrepresented group to apply. As a reminder, please apply even if you don’t think you meet all the qualifications! The position is hybrid remote/on-site in downtown Durham, NC and regular responsibilities will include: Communicate with investigators to support their projects (15%). Collaborate, consult, and effectively communicate with Duke researchers to understand their biological questions and computational needs, and recommend analyses for a wide range of genomics studies. Review and approve requested quotes and make recommendations for appropriate assay, platform, and analyses when needed. Lead internal bioinformatic analyses (40%). Contribute to the design, development, implementation, and testing of computational tools and analyses of novel experimental methods as part of the SGT. Work with IT groups across Duke entities to implement new analytical and operational improvements. Perform and deliver primary and secondary bioinformatic analyses to researchers (35%). Design, develop, and execute analytical pipelines to generate and test biological hypotheses. These tasks include both writing new code as well as repackaging and documenting existing scripts as needed. Work with data analysts to schedule projects and ensure completion of deliverables and adherence to timelines. Analyze and resolve issues that have the potential to jeopardize performance and/or ability to meet agreed upon deliverables. Documentation (10%) - Document methods and results to provide to collaborators. Review orders and generate invoices for orders. Submit data, metadata, and QC metrics to publicly available data repositories, and/or designated data coordinating centers. The above statements describe the general nature and level of work being performed by individuals assigned to this classification. This description is not intended to be an exhaustive list of all responsibilities and duties required of personnel so classified. Qualifications: Required knowledge, skills and abilities • Extensive knowledge and experience with programing (Python, R, and shell preferred), command-line bioinformatics tools (particularly for Next-Generation sequencing analysis) and Unix environment and data management. Experience with public domain biological databases, and software tools for sequence analyses. Extensive familiarity with and development of computational tools in biology that use genomic data to generate biological hypotheses. • Strong knowledge of genomics techniques, particularly next-generation sequencing (including sample preparation and library construction). • Excellent written and oral communication skills with an ability to explain computational pipelines and statistical analyses to collaborators with little computational experience. Publication track record in genetics, genomics, or Next-Generation sequencing strongly preferred. • Excellent at problem-solving and troubleshooting. • Ability to perform and prioritize multiple tasks, projects and demands. • Ability to establish and maintain working relationships with administration, clients, and the core facility staff. Minimum required education and experience • M.S. in Bioinformatics or the biological sciences with demonstrable computational skills or M.S. in computer science with a strong understanding of biology/genomics. PhD or equivalent doctorate (eg. Sc.D., M.D., D.V.M.) preferred. Preferred Qualifications • PhD degree in genetics, genomics, bioinformatics, or computational biology. • Hands on experience generating next-generation sequencing data. • Strong knowledge of bioinformatics analyses for one or more areas: read mapping and quality control, RNA-seq, whole genome/exome sequencing (variant calling), ChiP/ATAC-seq peaks, Methyl-Seq, 16s, metagenomic/microbiome data sets, and/or other genomics datasets • Experience with Illumina technologies is preferred. Familiarity with other technologies is a plus. • Leadership or management experience. • Consulting experience. • Supervision or mentoring experience. • Teaching experience (lectures, workshops). • Multiple publications and notable significant contributions to scientific research. Publication of new bioinformatics tools is a plus. Duke University is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual’s age, color, disability, genetic information, gender, gender identity, national origin, race, religion, sexual orientation, or veteran status. Minimum Qualifications Education Work requires a B.S. in Bioinformatics or the Biological Sciences with demonstrable computational skills; or a B.S. in Computer Science with a strong interest in Biology/Genomics. M.S. preferred. Experience OR AN EQUIVALENT COMBINATION OF RELEVANT EDUCATION AND/OR EXPERIENCE Duke is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status. Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas—an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values. Essential Physical Job Functions: Certain jobs at Duke University and Duke University Health System may include essentialjob functions that require specific physical and/or mental abilities. Additional information and provision for requests for reasonable accommodation will be provided by each hiring department

SHIFT: Day (United States of America ... Seeking Breakthrough Makers Children’s Hospital of Philadelphia (CHOP) 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. A Brief Overview The Bioinformatics Scientist I position is an entry level position for a non-PhD level professional. The focus of the position is development, maintenance, and evolution of the tools that support management and analysis of genomic, proteomic, and other complex molecular data types. This includes the support of internal bioinformatics software, implementation and modifications of existing algorithms, and execution of routine tasks of limited complexity within the general area of bioinformatics analysis. The position allows for a wide variety of activities described within the job responsibilities and encompasses positions within both research and clinical environments. All activities occur with a moderate to high degree of supervision and the individual will rely on a high degree of peer-to-peer mentorship. The Bioinformatics Scientist I is primarily focused on the support of higher level bioinformatics personnel but may have minor direct interaction with collaborators and designees to resolve primarily technical issues and solutions. BFX Sci I position for Oncology/CCCR. This position is dedicated to PI's Lindell and Diorio. Diorio support is 67% pending ALSF award with Parkway Run account being used as guarantor. Lindell support is 33% Critical Care Medicine Research cost center (600-62000). Commitment is for 3 years with intent to fund longer. What you will do • Pre-Analysis (40%): Contributes to the maintenance and development of bioinformatics tool portfolio by developing knowledge of internally developed systems, open-source programs, and commercial applications. Provides efficient data management support. • Works with bioinformatics group members to develop functioning pipelines upstream of customized analysis workflows. • Maintains pipelines by staying current with evolving algorithms and standards and incorporating into pipeline. • Executes robust development testing for commonly used applications such as data processing pipelines. • Optimizes performance of applications by working with scientific computing and information systems groups to optimize hardware/software parameters. • Defines and prioritizes requirements for pipeline development over time to incorporate new technologies and platforms via functional communication with bioinformatics group members and bioinformatics end users. • Identifies appropriate open-source and commercial products that serve needs of pipeline and/or customized analyses of end users. • Implements and maintains commercial and open-source software for common bioinformatics and genomics data analysis. • Implements, updates and maintains locally stored data resources required for various analysis tasks. • Provides ad hoc support and one-on-one and group-based training on key bioinformatics software, features, and workflows. • Provides efficient data management support including file transfers, data formatting and manipulation, and basic integration of data from a variety of experimental and reference resources. • Develops and maintains working relationship with data providers such as sequencing cores within CHOP and infrastructure groups such as information systems. • Continually keeps abreast of evolving data generation platform fundamentals, file-specific information representation, and strategic application of code base to optimize value of data. • Maintains working knowledge of available commercial and openly accessible knowledge bases as they apply to bioinformatics analysis. • Coding (30%): Codes and generally supports both ad hoc, single task applications and larger pipeline applications that may combine multiple 3rd party and internally developed applications for genomics/proteomics/other complex data types and projects. • Implements, maintains, and regularly contributes to formal and bioinformatics group-centralized code management system. • Adopts appropriate forking and other strategies for robust code development. Apply to general bioinformatics group code base. • Adopts best practices for code development consistent with larger bioinformatics group. This includes choice of language based on the type of solution being developed, the likely life cycle and downstream usage of the resulting application, and integration with other systems. • Ensures that all routinely used tools (e.g. those included in shared analysis pipelines) are versioned and managed through a source control system. • Ensures that configuration files that provide parameters to algorithms and analysis software are versioned and managed through a source control system. • Develops and implements automated data-driven testing processes that test reproducibility of results between versions of pipeline software. • Develops and implements automated deployment processes that build and configure systems from source control repositories, eliminating the need to manually modify configuration files. • Regularly documents code, troubleshoot, and provide training when necessary. • Data Analysis (10%): Analyzes data of high complexity by applying sound statistical and commonly accepted bioinformatics methods to -omics data under supervision from mentors and peers. • Develops robust analysis plans under supervision. • Incorporates QA/QC in analysis workflows. • Delivers analytical endpoints such as feature identification, annotation, characterization, prioritization, etc. • Reports results using, primarily, spreadsheets and, secondarily, abstracted materials such as slides and visuals. • Collaboration (10%): Works with both bioinformatics group members and end users/clients to understand specific needs in bioinformatics and end user-specific domains. • Attends group and team meetings and contributes primarily factual information regarding processes and approach. • Defers to mentors and peers in establishing relationships, but works within boundaries to accomplish analytical goals. • Academic Output (10%): Contributes to presentations, grants, and manuscripts under supervision by mentors and peers. Education Qualifications • Bachelor's Degree Required • Master's Degree biological or computational discipline Preferred Experience Qualifications • At least one (1) year in applied bioinformatics, computational, and genomics/proteomics experience. Preferred Skills and Abilities • Strong UNIX/LINUX expertise required. • Experience with R strongly preferred. • Experience with Python, Perl, or other languages preferred. • Experience with pipeline or workflow development frameworks preferred. • Experience with data management preferred. • Familiarity with open source and commercial bioinformatics resources and software preferred. • Experience with genomic data analysis preferred. • Experience or knowledge of technologies commonly used in biological labs, such as PCR, cloning, electrophoresis gels, and cell culture preferred. • 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 preferred. • Accountability and attention to timelines. • Excellent organization and communication skills with an emphasis on strong presentation skills. • 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, CHOP employees who work in patient care buildings or who have patient facing responsibilities must be fully vaccinated against COVID-19 and receive an annual influenza vaccine. Learn more. 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 Department of Medicine, Division of Cardiovascular Medicine at Stanford University, is seeking a highly motivated Bioinformatics Engineer to join the Bioinformatics Core (BIC) of the Molecular Transducers of Physical Activity Consortium (MoTrPAC). MoTrPAC is part of the Common Fund Data Ecosystem (CFDE) and aims to build a comprehensive molecular map of physical activity. The BIC is... responsible for managing, analyzing, and disseminating large volumes of molecular and clinical data generated by the consortium through the Google Cloud Platform. As a Bioinformatics Engineer, you will play a key role in developing pipelines and tools for the analysis and integration of multiomics datasets and enabling analytical insights. The Common Fund Data Ecosystem (CFDE) is a collaborative effort by the National Institutes of Health (NIH) to establish a shared infrastructure that supports the efficient and effective management, analysis, and dissemination of biomedical research data. The CFDE aims to harmonize data management practices and facilitate data sharing across the scientific community, enabling researchers to work with large, complex datasets and extract new insights. As part of the MoTrPAC consortium, the Bioinformatics Core (BIC) is contributing to the CFDE by developing cutting-edge infrastructure to manage and analyze large volumes of molecular and clinical data generated by the consortium. The BIC's work will help advance the CFDE's mission of promoting data-driven research and accelerating scientific discoveries. As a Bioinformatics Engineer, you will have the opportunity to work within this ecosystem and contribute to the development of innovative solutions that facilitate data sharing and promote scientific collaboration. This is an exciting opportunity to work in a data federation and be part of a cutting-edge project that integrates a variety of molecular data types, including genomic, epigenomic, transcriptomic, proteomic, and metabolomic data, to advance the understanding of how physical activity improves and preserves health. You will have opportunities for cross-disciplinary collaboration and engagement with clinical, translational, wet lab, and dry lab researchers. To be successful in this role, you must have a strong background in bioinformatics and experience working with large-scale biological datasets. Proficiency in programming languages and exposure to high-performance computing environments is essential. You will be expected to participate in software development projects and have the ability to understand biological experiments. A complete application will include a cover letter highlighting your interest in the project and relevant qualifications. Duties include: • Collect, manage and clean datasets. • Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data. • Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements. • Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions. • Develop reports, charts, graphs and tables for use by investigators and for publication and presentation. • Analyze data processes in documentation. • Collaborate with faculty and research staff on data collection and analysis methods. • Provide documentation based on audit and reporting criteria to investigators and research staff. • Communicate with government officials, grant agencies and industry representatives. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. DESIRED QUALIFICATIONS: • Experience as a research assistant or similar. • Experience (including any graduate school) developing tools for data analysis. • Proficiency in python and/or R programming languages. • Experience with cloud computing environments. • Exposure to container systems such as setting up virtual machines and Docker instances. • Biological domain knowledge (exercise science is a plus). • Experience with omics projects. • An understanding of data modeling including ontologies and database design. • Strong data analysis skills to identify patterns, relationships, and inconsistencies within metadata. • Experience in working with large-scale data repositories and data management systems. EDUCATION & EXPERIENCE (REQUIRED): • Bachelor's degree or a combination of education and relevant experience. Experience in a quantitative discipline such as economics, finance, statistics or engineering. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): • Substantial experience with MS Office and analytical programs. • Strong writing and analytical skills. • Ability to prioritize workload. PHYSICAL REQUIREMENTS: • Sitting in place at computer for long periods of time with extensive keyboarding/dexterity. • Occasionally use a telephone. • Rarely writing by hand. Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: • Some work may be performed in a laboratory or field setting. WORKING STANDARDS: • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University’s Administrative Guide, http://adminguide.stanford.edu/. The expected pay range for this position is $64,480 to $97,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. Why Stanford is for You Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: • Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. • A caring culture. We provide superb retirement plans, generous time-off, and family care resources. • A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. • Discovery and fun. Stroll through historic sculptures, trails, and museums. • Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law

• Develops and manages a specific bioinformatics, computational biology or quantitative genomics project within the research program under the supervising faculty member. • May prepare and submit funding applications within the content areas of the supervisor with permission of the supervisor. • May manage a small research group; conducting reviews and evaluating work... • Leads discussions regarding experimental design, data analysis and interpretation of results. • May represent the supervising faculty member in leading the research group as needed. • Responsible for gathering preliminary data for grant applications, completion of objectives of funded external grants, and preparation of completed work for publication. • Contributes to writing grant applications or manuscripts. • May serve on research committees. • Collaborates and leads genomics and bioinformatics analysis for clinical faculty and other investigators. • Performs literature searches to gather information pertaining to research projects or analytical methods in order to develop new protocols, research projects or grant applications for the work group. • Advises other research employees regarding technical and analytical problems within area of expertise. • Participates in work group meetings and formal seminars to present, explain, and discuss research interests. • Makes presentations to extramural audiences at national meetings and academic institutions. Work is typically performed in an office environment. Accountable for satisfying all job specific obligations and complying with all organization policies and procedures. The specific statements in this profile are not intended to be all-inclusive. They represent typical elements considered necessary to successfully perform the job