12685 SUPERVISOR OF APPLIED DATA SCIENCE

Description:
The Department of Biomedical and Health Informatics (DBHi) at The Children’s Hospital of Philadelphia (CHOP) is seeking an Information Analyst to extract and transform data from a variety of The Children’s Hospital Of Philadelphia (CHOP) Research Institute is recruiting a new team to build a data and informatics program called “Arcus” that will link clinical and biological data and provide world-class computational tools to solve the most challenging problems in child health. Recognizing the central role of data to the future of pediatric research, CHOP leadership and the Board of Directors committed to a funding plan, and Arcus was launched in July 2017. The Arcus team integrates with major scientific initiatives in the Research Institute Strategic Plan: Lifespan, Rare Diseases, Novel Devices and Therapeutics, and Precision Health. We seek mission-oriented professionals with interest and expertise in the areas of biomedical science, library science, data education, data science, cloud computing, data privacy, and security.

The Supervisor of Applied Data Science (ADS) at the Children’s Hospital of Philadelphia Research Institute will build and lead the Arcus Applied Data Science team and contribute to all data science activities for the Arcus program. In concert with the Director of Applied Data Science and key stakeholders in the Research Institute, the Supervisor of Applied Data Science will be responsible for the identification and execution of data engineering projects that facilitate increased utility of data and analytic tools in Arcus that address well-defined, high-priority scientific needs within the CHOP research community. This may include, but is not limited to, efforts that provide feature extraction from unstructured data, information query and retrieval, data annotation and linking, data management, and standardized biomedical data science research pipelines. The Supervisor of ADS will promote the application of Arcus data science capabilities and foster collaboration between data scientists and biomedical researchers within the CHOP community through direct support to existing biomedical research projects and consultation on biomedical research funding proposals. In support of the Arcus Education Group, the Supervisor of ADS will contribute to endeavors that raise awareness and understanding of data science methods and the Arcus platform among biomedical researchers. The successful candidate will have experience recruiting and managing a data science team, a proven track record of executing data science projects with clearly defined scope and organizational impact, and demonstrated ability to work in a highly interdisciplinary, dynamic environment. This individual should have a “right tool for the right job” philosophy and must be able to work with biomedical researchers to identify data science requirements that demonstrably address specific biomedical research limitations. Most of all, we are looking for someone who shares our vision to exponentially improve child health and scientific knowledge through the integration and expansion of data science within biomedical research.

JOB RESPONSIBILITIES

  • 1. Recruits, hires, and manages a team of staff scientists in the development and execution of a high-impact applied data science program.
  • 2. Serves as the subject matter expert and lead architect in the development of high-quality software implementing models and algorithms as application programming interfaces or other service-oriented software implementations.
  • 3. Serves as the subject matter expert in the assessment and implementation of computational algorithms for data engineering and analysis efforts.
  • 4. Manage complex data science analysis and engineering projects and take responsibility for major components of larger programs; assign work to junior staff, identifying, tracking, and reporting on tasks and deliverables against project timelines.
  • 5. Collaborate with clinical and biomedical researchers to identify opportunities where data science can support clinical and translational research.
  • 6. Contributes to planning and writing of biomedical research funding proposals that require data science support.
  • 7. Disseminates research findings through peer reviewed journal articles and professional conference presentations.
  • 8. Communicates methods, implementation, and results to varied audience of clinicians, scientists, analysts, and programmers.
  • 9. Provides data science guidance and mentorship to biomedical researcher collaborators, junior staff, students and research trainees (medical fellows, post-docs).
  • 10. Sets standards and holds staff accountable for the formulation of analysis plans that meet stringent criteria for reproducibility and measures of significance.
  • 11. Play a lead role in educating a varied audience of clinicians, scientists, analysts, and programmers on data science methods, implementation, and results.

REQUIRED EDUCATION AND EXPERIENCE

  • 1. PhD required in Analytics, Data Science, Statistics, Mathematics, Computer Science or a related field. Alternately equivalent experience in data analysis and predictive modeling will be considered in lieu of relevant degree.
  • 2. Seven to twelve years of experience with progressively more complex data science, applied statistics, machine learning, or mathematical modeling projects.
  • 3. Zero to three years experience building and managing a technical or scientific team.
  • 4. Expertise and demonstrated ability at acquiring new technical/analytic skills and domain knowledge to support successful contribution to research and development projects is required.
  • 5. Expertise formulating analysis plans and selecting appropriate methods is required.
  • 6. Expertise using existing machine learning and analytic tools such as ScikitLearn, Weka, R, and Mathematica in either applied academic or professional projects is required.
  • 7. Expertise writing code in applied academic or professional projects using one or more of the following languages: Python, Scala, Java is required.
  • 8. Familiarity with relational databases (e.g. Postgres, MySQL) strongly preferred.
  • 9. Familiarity RESTful web services application programming interfaces preferred.
  • 10. Strong verbal and written communications skills with the demonstrated ability to explain complex technical concepts to a lay audience.
  • 11. Applied statistics or mathematical modeling experience required.
  • 12. Natural language processing experience particularly in the biological and medical domains preferred.
  • 13. Experience using distributed computing technologies (e.g. Akka, MapReduce, Cuda) preferred.
  • 14. Familiarity with graph, key value, and document data stores (e.g. Neo4j, Hadoop, MongoDB) preferred.
  • 15. Experience creating informative visualizations for complex, high dimensional data preferred.
  • 16. Experience with probabilistic graphical models, time series predictive models, Markov models preferred.
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      12687 CLOUD SECURITY ENGINEER

      Description:
      The Children’s Hospital Of Philadelphia (CHOP) Research Institute is recruiting a new team to build a data and informatics program called “Arcus” that will link clinical and biological data and provide world-class computational tools to solve the most challenging problems in child health. Recognizing the central role of data to the future of pediatric research, CHOP leadership and the Board of Trustees committed to a funding plan, and Arcus was launched in July 2017. The Arcus team integrates with major scientific initiatives in the Research Institute Strategic Plan: Lifespan, Rare Diseases, Novel Devices and Therapeutics, and Precision Health. We seek mission-oriented professionals with interest and expertise in the areas of biomedical science, library science, data education, data science, cloud computing, data privacy, and security.

      As a member of the Scientific Computing Platform team at the Department of Biomedical and Health Informatics (DBHi), the Cloud Security Engineer builds, deploys, and supports innovative platforms for scalable complex systems. This position will leverage Cloud infrastructure and CI/CD tools to ensure system and data security for a dynamic, heterogeneous computing infrastructure that will serve the CHOP research community at large. The successful candidate will be passionate about data security and automation, able to work independently and as an interdisciplinary team member, with good organizational skills and attention to detail. Strong critical thinking, troubleshooting and problem-solving skills are also required for this position. A basic background in life sciences is helpful but not required. We are looking for people who share in our mission/eagerness to develop novel ways of advancing child health.

      JOB RESPONSIBILITIES

      • 1. Lead the cloud information security architecture and roadmap for the Arcus platform.
      • 2. Define and document best practices from a security perspective.
      • 3. Serve as security expert in platform and application development, database and micro-service design. Providing guidance to project teams on the appropriate selection and implementation of security controls to comply with enterprise compliance and security policies.
      • 4. Participate in architecture security review. Reviewing technology designs and develop data security controls and solutions.
      • 5. Define monitoring requirements and implement automated incident resolution solutions.
      • 6. Research, design, and POC new technologies and best practices around data security.
      • 7. This is a hands-on position.

      REQUIRED EDUCATION AND EXPERIENCE

      • 1. BS/MS in computational discipline required. BS/MS in systems engineering is preferred.
      • 2. 7-14 years of experience in a production data-intensive computing role.
      • 3. Experience with cloud computing technologies (GCP/AWS), including tools such as Terraform and Ansible preferred.
      • 4. Experience implementing security controls around data and data products preferred.
      • 5. Experience in analyzing infrastructure implementations from a security perspective preferred.
      • 6. Experience with build management and continuous integration practices and tools (Jenkins) preferred.
      • 7. Knowledge of general application security API’s and protocols and IDM systems such as Active Directory (AD), LDAP, SAML, OAuth, SSO, etc preferred.
      • 8. Knowledge of PKI systems preferred.
      • 9. Familiarity with network and security configuration management best practices - SIEM, IPS/IDS, IAM, firewalls preferred.
      • 10.Familiarity with Industry compliance standards, e.g HIPAA, NIST preferred.
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          8295 POST DOCTORAL FELLOW - COMPUTATIONAL BIOLOGY/SYSTEM GENOMICS

          A postdoctoral fellow position is open in the Tan research group in the Departments of Pediatrics and Biomedical and Health Informatics (DBHI) at the Children’s Hospital of Philadelphia (CHOP) http://tanlab4generegulation.org. Dr. Tan is an associate professor of Pediatrics and Biomedical and Health Informatics. CHOP postdoctoral fellows receive mentored training in a rich scientific environment that includes both CHOP and University of Pennsylvania research communities. CHOP is an interdisciplinary institution dedicated to conducting basic, clinical and translational research with a particular focus on conditions that affect children.

          The Tan research group is interdisciplinary and highly collaborative, utilizing both computational and experimental approaches to study gene regulation. We have pioneered multiple computational algorithms for regulatory genomics, epigenomics, and network biology. The candidate will work on developing computational algorithms for cancer regulatory genomics and epigenomics. Specific projects in these two laboratories will be defined by the candidate (and based on the candidates expertise) and with input from Dr. Tan and our close collaborators at the Center for Childhood Cancer Research CHOP and Abramson Cancer Center at the University of Pennsylvania.

          The desired candidate must have a terminal degree (PhD) in computational biology, computer science, statistics, mathematics or related field with a strong understanding of biology. The postdoctoral fellow will be responsible for development of novel computational algorithms and integrative analysis of high-dimensional datasets, focused on generating insights into how mutations in regulatory DNA sequences contribute to oncogenesis. The postdoc experience will serve to extend, refine and enhance skills necessary for professional and career development, and will enable the individual to broaden his/her scientific background by acquiring new research capabilities. It is expected that this individual will conduct independent scholarly research, and will contribute directly to the overall research goals of the research group. Postdocs will be expected to participate in project planning, bioinformatics recording and interpretation/evaluation of data, and communication of results.

          Postdoctoral fellows will also be expected to acquire technical, lab management, and manuscript/grant writing skills; and participate in seminars, lectures, poster sessions and presentations at national meetings. Postdoctoral fellows also may be required to supervise junior lab members, develop new methods and protocols for research, and assist with the development of other research projects in the lab.

          Requirements

          The postdoctoral fellow (postdoc) will have a terminal degree PhD, MD, DVM, etc. and will, under the direction/guidance of a mentor (principal investigator), assume responsibility for a specific, on-going research project. The postdoc experience will serve to extend, refine and enhance skills necessary for professional and career development, and will enable the individual to broaden his/her scientific background by acquiring new research capabilities. It is expected that this individual will conduct independent scholarly research, and will contribute directly to the overall research goals of the project and the research group.

          Postdocs will be expected to participate in project planning, recording and interpretation/evaluation of data, and communication of results. Postdocs will also be expected to acquire technical, lab management, and manuscript/grant writing skills; and participate in seminars, lectures, poster sessions and presentations at national meetings. Postdoctoral fellows also may be required to supervise junior lab members, develop new methods and protocols for research, and assist with the development of other research projects in the lab.

          According to the CMS (Centers for Medicaid and Medicare Services) a copy of diploma or transcript is required as proof of academic achievement for all non-laboratory personnel performing non-waived POC testing.

          EDUCATION AND EXPERIENCE:

          • PhD in computational biology, computational science, statistics, or mathematics, engineering, genomics/genetics or related fields
          • UNIX/LINUX and high performance computing experience
          • Exhibited knowledge of statistics and probability important to bioinformatics research
          • Proficiency in R or similar commonly used statistical languages
          • Basic proficiency with Python, Perl, or other languages
          • Strong understanding of cancer molecular biology and genetics
          • Exhibited knowledge of biological network analysis
          • Values research integrity and collaborative research
          • Strong research skills
          • Effective problem solving/critical thinking skills
          • Ability to work independently and with a strong work ethic
          • High level of motivation
          • Excellent communication/interpersonal skills
          • Ability to exercise discretion and judgment

          SKILLS AND ABILITIES:

          • Strong research skills
          • Effective problem solving/critical thinking skills
          • Ability to work independently
          • Ability to exercise discretion and judgment
          • Value for research integrity and collaborative research
          • High level of motivation
          • Good communication skills
          • Strong interpersonal skills

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          1191 POST DOCTORAL FELLOW - BIOMEDICAL AND HEALTH INFORMATICS

          A postdoctoral fellow position is open in the Bioinformatics Group at the Department of Biomedical and Health Informatics (DBHI) at the Children’s Hospital of Philadelphia (CHOP), reporting to the Director of Bioinformatics. CHOP postdoctoral fellows receive mentored training in a rich scientific environment that includes both CHOP and University of Pennsylvania research communities.

          This position offers the opportunity to work in the very early-onset inflammatory bowel disease (VEO-IBD) research group at The Children's Hospital of Philadelphia (CHOP). The VEO-IBD Program is a multidisciplinary program that includes Judith Kelsen, MD pediatric gastroenterologist and program director, Marcella Devoto, PhD, genetic epidemiologist, Noor Dawany, PhD, lead bioinformatician, Kathleen Sullivan, MD, PhD, Chief of Immunology and Edward Behren, MD, Chief of Rheumatology. This translational program is studying the unique genomic contribution to the disease through NGS and functional analyses. In addition, the group is studying the relationship between the genomic architecture and subsequent immune dysregulation with the microbiome in this population. This research group is interdisciplinary and highly collaborative.

          The desired candidate must have a terminal degree (PhD) in computational biology, computer science, statistics, or related field. The postdoctoral fellow will be involved in the analysis of next-generation sequencing data related to pediatric inflammatory bowel disease research in the Division of Gastroenterology, Hepatology and Nutrition. The candidate is expected to be able to develop new algorithms, make sense of the data and construct predictive models for precision medicine applications. The postdoctoral fellow will assume responsibility for a specific, on-going research project under the joint direction/guidance of Dr. Kelsen, Dr. Dawany, Dr. Devoto and Dr. Taylor, head of the Bioinformatics Group in the Department of Biomedical and Health Informatics. The postdoc experience will serve to extend, refine and enhance skills necessary for professional and career development, and will enable the individual to broaden his/her scientific background by acquiring new research capabilities. It is expected that this individual will conduct independent scholarly research, and will contribute directly to the overall research goals of the project and the research group. Postdocs will be expected to participate in project planning, recording and interpretation/evaluation of data, and communication of results. The successful candidate is also expected to demonstrate basic scientific knowledge of cell biology, molecular biology, and/or immunology.

          Postdocs will also be expected to acquire technical and manuscript/grant writing skills; and participate in seminars, lectures, poster sessions and presentations at national meetings. Postdoctoral fellows also may be required to develop new methods and protocols for research, and assist with the development of other research projects in the lab.

          EDUCATION AND EXPERIENCE:

          • PhD in computational biology, computational science, statistics, or mathematics, engineering, genomics/genetics or related fields
          • UNIX/LINUX and high performance computing experience
          • Proficiency in R or similar commonly used statistical languages
          • Basic proficiency with Python, Perl, or other languages
          • Values research integrity and collaborative research
          • Strong research skills
          • Effective problem solving/critical thinking skills
          • Ability to work independently and with a strong work ethic
          • High level of motivation
          • Excellent communication/interpersonal skills
          • Ability to exercise discretion and judgment

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          5361 BIOINFORMATICS SCIENTIST II

          Description: The Bioinformatics Scientist II will apply knowledge of bioinformatics algorithms and analysis platforms to consult with investigators on their projects and to serve as a collaborative investigator in academic output including assistance in experimental design and writing, including creation of scientifically rigorous visualizations, communications, and presentations of results. The Scientist will be working with a diverse, highly skilled, team-oriented laboratory and clinical oncology team in the Maris Lab at CHOP. The Candidate will process sequencing data both in local clusters as well as through cloud services. Candidates must be able to show proficiency in development of analysis systems, such as pipelines and automation for analysis of high-throughput data. Candidates will have an excellent understanding of the strengths and limitations of commonly used data generating platforms as they apply to experimental endpoints and will readily be able to set expectations and defend results through frequent and direct communication with collaborators.

          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

          (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
          • 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

          EDUCATION AND EXPERIENCE

          • MS or Ph.D. In a biological, computational or related discipline.
          • At least three to five (3-5) years experience in applied bioinformatics, genomics and computational work.
          • Working experience with next generation sequencing data using common tools, including BWA, Novoalign, STAR, GATK, freebayes, samtools, Picard, SnpEff, bedtools, tabix, and other tools and resources, e.g. sequence retrieval, alignment and clustering techniques, expression profiling and protein related analysis, using major databases and data standards in the field.
          • Working knowledge and deep understanding of algorithms, data structures, and scientific programming, including workflow management packages.
          • Proficiency with the minimum programming languages of Python, Perl, and R.
          • Pipeline development, analysis, and troubleshooting experience with multi-omics data including whole genome and exome, RNA-Seq, targeted sequencing, ChIP-Seq, ATAC-Seq, SNP and methylation arrays.
          • Proficiency in Unix/Linux operating systems.
          • Ability to work efficiently on multiple projects.
          • Strong working knowledge of statistics including but not limited to hypothesis testing tools, power analysis, and the ability to aid researchers in experimental design.
          • Ability to communicate scientific and informatics concepts to a wide range of audiences.
          • Ability to work independently with minimal guidance while consistently exercising good judgment.
          • Ability to work in a academic team environment.
          • Excellent interpersonal skills to interact with both research and technical staff.
          • Familiarity with repositories of genomic data sets and analysis tools, such as UCSC Genome Browser, Bioconductor, ENCODE, and NCBI databases.

          PREFERRED EDUCATION EXPERIENCE & CERT/LIC

          • Experience in high performance computing and cluster environments and cloud computing is highly desirable.
          • Knowledge and biological understanding of common library preparation technologies, including those from CGI, Illumina, and LifeTechnologies
          • Ability to independently research different analysis tools and parameters within each to come up with the most appropriate tool and workflow for answering relevant biological questions (e.g.: testing multiple algorithms for sensitivity and specificity)
          • Prior experience in oncology is very desirable but not required.
          • Strong working knowledge or training in advanced biomedical research.
          • Knowledge of technologies commonly used in biological labs, such as PCR, cloning, electrophoresis gels, and cell culture.
          • Familiarity with broadly used machine learning algorithms

          ADDITIONAL TECHNICAL REQUIREMENTS

          • Accountability and attention to timelines.
          • Excellent organization and communication skills with an emphasis on strong presentation skills.
          • Ability to work in a team environment.

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          10003 BIOINFORMATICS SCIENTIST I

          Description:
          The Tan research group (http://tanlab4generegulation.org) within the Department of Biomedical and Health Informatics at The Children’s Hospital of Philadelphia is seeking an enthusiastic candidate for a bioinformatics scientist position. The laboratory is interdisciplinary and highly collaborative, utilizing both computational and experimental approaches to study gene regulation in normal and disease development. We have pioneered multiple computational algorithms for regulatory genomics, epigenomics, and network biology. Key responsibilities include developing and maintaining interactive bioinformatics databases, collecting and analyzing genomics datasets, bioinformatics data analysis, summarizing results and preparing reports, and contributing to manuscripts/publications. The desired candidate should have a BS or MS in bioinformatics or related fields such as statistics and computer sciences. Strong statistical and computer programming (R, Perl/python, JavaScript, C/C++) skills are essential. Previous research and classroom course work in bioinformatics is preferred.

          JOB RESPONSIBILITIES
          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 AND EXPERIENCE

          • Bachelors or Masters in biological or computational discipline.
          • 0-4 years in applied bioinformatics, computational, and genomics/proteomics areas.
          • 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.

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          9063 STUDENT INFORMATICS ASSOCIATE I

          Description:
          The Department of Biomedical and Health Informatics (DBHi) at The Children’s Hospital of Philadelphia (CHOP) periodically offers internship, co-op, and student mentoring opportunities so that students can gain applied experience on biomedical and bioinformatics-focused projects. Our students are responsible for 1-3 mentored independent research projects with opportunities for publication and presentation throughout their tenure. In addition to the student-led projects, we offer an informatics community invested in the growth of our students and expose students to multiple projects outside of their immediate area of expertise. We accommodate school program-specific requirements including evaluations, capstone projects, etc. for credit and may provide salary or stipend support.
          We are currently collecting CV’s from individuals interested in any of the following informatics areas:

          • bioinformatics and genome analysis
          • clinical data ETL and reporting
          • data science and machine learning
          • application development
          • mobile health
          • electronic health records
          • statistical genetics
          • scientific computing and infrastructure

          GUIDANCE FOR APPLICATIONS

          Apply with both a CV and cover letter.
          The cover letter should contain:

          • General areas of interest
          • Availability and limitations associated with the academic year or summer term
          The CV should contain:
          • Information on the currently enrolled academic program and expected degree(s) and graduation date(s)
          • A listing of relevant coursework.

          EDUCATION AND EXPERIENCE

          • Required Education: Enrollment in an accredited college or university
            • ADDITIONAL REQUIREMENTS

              • An interest in one or more areas of informatics listed in the above description
              • with at least one general programming language (e.g. Python, R, Java, SQL) is preferred
              • written and verbal communication skills
              • to work in an organized manner, work well with others, with attention to detail
              • have initiative and good problem solving skills
              • in areas of research, security, and compliance may be required based on the nature of the activities in which the student participates

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              MANDATORY REQUIREMENTS

              • Child Abuse Clearances
              • FBI Fingerprint Clearance
              • Drug Screening
              • Tobacco screening

              All CHOP employees who work in a patient building or who provide patient care are required to receive an annual influenza vaccine unless they are granted a medical or religious exemption.

              The Children's Hospital of Philadelphia is an equal opportunity employer. We do not discriminate on the basis of race, color, gender, gender identity, sexual orientation, age, religion, national or ethnic origin, disability or protected veteran status.