CMI - Director of Research - Applications
Under the direction of the CMI Executive Director, and working closely with the CMI - Director for Research - Innovation, the incumbent serves as Head of Research of the Center for Microbiome Innovation (CMI) with a focus toward external collaboration with CMI current and future industry partners.
The CMI is one of the Agile Centers within the Jacobs School of Engineering Dean's Office and is responsible for operational oversight of collaborative projects with Industry through the research coordination of a range of Microbiome research projects performed by core CMI laboratories. The Center has experienced tremendous growth since its creation and needs to continue expanding its team to assist our fast-growing list of industry partners.
The research projects will be very diverse in nature and may include one or more of the following technologies: Sample collection method, sample preparations, next-generation sequencing (16S and metagenomics library preparation and analysis), metaproteomics, metatranscriptomic, flow cytometry, digital PCR, and novel techniques designed to address ongoing challenges in the field of translational Microbiome research.
The candidate will provide consultation and collaboration with industry sponsors to create synergistic projects with the CMI-affiliated faculty members at UCSD as well as oversee a team to ensure timely and efficient delivery of collaboration projects. Developing an effective and realistic statement of work and budget will be key to success. The directly overseen team will consist of a program manager, a data analyst and will grow based on project needs. The candidate will have other dotted line reports to him/her based on active project needs.
The Director of Research Applications could further be expected to assist in the submission of original research proposals to government agencies to secure additional funding for research. Co-author publications including scientific articles and reviews. In our academic setting lead and mentor training, build and strengthen collaborations with researchers both at UCSD and elsewhere including industrial, pharmaceutical, and private industry will be essential.
- A Ph.D. Science in Engineering, Physics, Chemistry, Biology, or related field (advanced degree preferred), with at least five (5) years’ experience in high technology business, or equivalent combination of education and experience.
- Demonstrated experience in evaluating and implementing genomics technologies.
- Experience writing proposals for significant projects.
- Proven experience in existing program development and creating new programs to broaden institutional reach and reach out to industrial collaborators or customers.
- Experience in industry/university relations with a track record of successfully bringing university researchers and industry together to create new research partnerships and programs.
- Demonstrated ability to organize, interpret, evaluate, and present research findings in a variety of formats including research manuscripts, grant proposals, external manuscripts, and oral presentations and in collaborative and instructional scientific interactions within laboratory and discussion settings.
- Experience assessing a broad spectrum of technical and resource needs and demands and establish priorities, and manage multiple sub-projects simultaneously.
- Proven advanced analytical and statistical skills to evaluate information, procedures or situations to define a problem or objective, identify relevant concerns, recognize alternatives, formulate logical and objective conclusions, and prepare reports.
- Demonstrated understanding of the philosophy of quality service with proven aptitude for working as part of a team.
- Ability to utilize online databases and other software to create, retrieve, and compile reports using standard software programs.
- Self-starter with the ability to work independently.
- Ability to learn and independently apply campus policies on technology transfer, intellectual property, gifts, contracts, and grants.
- Demonstrated interpersonal skills to establish and maintain good working relationships with colleagues, faculty, donors, and industry partners, with an emphasis on collaboration, tact, diplomacy, flexibility, professionalism, and discretion.
- Demonstrated interest in and knowledge of technology development processes.
- Solid communications skills with the ability to speak and write about technical and scientific research persuasively and creatively.
- Ability to write interesting and succinct copy for correspondence, brochures, and other public relations material.
- Demonstrated ability to contribute original ideas in design and methodology.
UC San Diego Health - Cytoscape Cyberinfrastructure Developer
How would you like to be on the front lines of computational biology, building tools and infrastructure to help scientists in basic research and in developing therapies for diseases like cancer, dementia and heart disease?
The mission of the Cytoscape Cyberinfrastructure (“CI”) project is to create infrastructure and applications to support the effective use of biological networks by the research, pharmaceutical, and clinical communities. The CI project has the potential to impact many aspects of biological research and drug development and is already being incorporated in projects in academia and industry. We provide tools and resources for scientists to develop applications and analyses using biological networks in fields including genomics, proteomics, personalized medicine, and the microbiome.
We’re looking for a skilled and versatile software engineer to join our team and help us build and deploy cloud and desktop applications and data resources for systems biology. Our project is entering an exciting new phase where the team is evolving the core technologies of CI, creating a Cytoscape Cloud, a synthesis of multiple projects, applications, and resources. Our best-known technology is the Cytoscape application (http://cytoscape.org), a leading workstation-based platform for visualizing and processing complex networks. NDEx, the Network Data Exchange (http://ndexbio.org), is another central component, providing a public web resource for sharing, storing, accessing, and publishing biological knowledge as computable networks.
The CI developer will create, deploy and maintain software that uses networks to model complex biological concepts. The software will include applications, web services, and resources to be used by biologists, bioinformatics researchers, and other developers. They will interact with each of these target audiences in requirements gathering, example application development, and test development. They will interface with colleagues from project sponsors and with collaborators in the UCSD community and worldwide.
The CI Developer will work flexibly across multiple technologies, both front-end, back-end, and database, and will rapidly acquire skills in new programming languages and environments, packages, and databases. The project uses an aggressive array of technologies to deliver high-performance access to the stored networks and biological analytics, and to implement front-end integration with web-based interfaces and visualization.
The CI Developer must perform like a seasoned, experienced bioinformatics programming professional with a broad understanding of computational algorithms and systems; identifies and resolves a wide range of issues/software bugs. They will operate independently and demonstrate good judgment in selecting methods and techniques for obtaining solutions.
Other tasks will include: - System administration of public and internal servers. - Software deployment and distribution. - Database management, backup, migration, and recovery.
- Bachelor's Degree in computer science or related area; and/or equivalent experience/training.
- A minimum of five (5+)or more years of work or research experience in software development.
- Thorough knowledge of bioinformatics methods, applications programming, web development, and data structures.
- Understanding of relational databases, web interfaces, and operating systems.
- Thorough knowledge of web, application and data security concepts and methods.
- Proficiency in command-line use of UNIX platforms.
- 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 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.
- Advanced UNIX experience: Variations of UNIX (e.g., SunOS, Open Solaris, Ubuntu, Red Hat Linux); Shell script programming; Access control management, applications configuration management; Virtual image creation and deployment.
- Experience working in a product-oriented development environment, managing a public website with many user accounts, participating in formal website, web application, and desktop application release processes.
- Experience with web application technologies and services such as AWS, Kubernetes, Apache, proxies, REST API design and deployment of a REST endpoint, Infrastructure necessary to develop client-server applications and model-view controller applications; Source control management, familiarity with Git and GitHub.
- Experience with one or more of Python, Jupyter notebooks, R, Shiny, R markdown, cytoscape.js, D3, deck.gl, Angular, React, Materials, Bootstrap, Docker, Singularity.
- Thorough knowledge of modern biology and applicable field of research. As employed in interactions with researchers using the developed software.
- Thorough knowledge of bioinformatics programming design, modification, and implementation. As employed in developing software interfaces, data upload and download, interacting with researchers.
- Strong project management skills.
- Significant experience in Java user interface development, Java Swing, and Java-based web services.
- Demonstrated ability to work in a rapidly changing, multi-technology environment in which new skills must be acquired on a regular basis.
- Employment is subject to a criminal background check.
- Must be able to work outside normal hours to meet project deadlines, as well as system maintenance and emergencies.
- Must be willing and able to travel.
- Must be able to answer work-related questions while not physically at the work location.
- Must be willing to work in an animal-related research environment.
- Must be willing to work in situations where all intellectual property created will be released under a permissive open-source license.
SIO - Bowman Lab - Postdoctoral researcher in bioinformatics/predictive analytics
The Bowman Lab at Scripps Institution of Oceanography has an opening for a postdoctoral scholar in the area of bioinformatics and predictive analytics. The ideal candidate will have demonstrated expertise in one of these two areas and a strong interest in the other. Possible areas of expertise within predictive analytics include the development and application of neural networks and other machine learning techniques, or nonlinear statistical modeling techniques such as empirical dynamical modeling. Possible areas of expertise within bioinformatics include genome assembly and annotation, metagenomic or metatranscriptomic analysis, or advanced community structure analysis. Candidates should be proficient with R, Python, or Matlab, familiar with scientific computing in Linux, and fluent in English.
The successful candidate will take the lead in an exciting new industry collaboration to predict process thresholds from changes in microbial community structure. The goal of this collaboration is not only to predict thresholds but to fully understand the underlying ecosystem dynamics through genomics and metabolic modeling. The candidate will be in residence at Scripps Institution of Oceanography at UC San Diego but will have the opportunity to work directly with industry scientists in the San Diego area. The candidate is expected to take on a leadership role in the Bowman Lab, participate in training graduate students and undergraduates, represent the lab at national and international meetings, and publish their work in scholarly journals. The initial opportunity is for two years with an option for a third year contingent on progress made. The position has a flexible start date with a target of February 2019.
Interested candidates should send a CV and a brief, 1-page statement of interest to Jeff Bowman at firstname.lastname@example.org no later than January 1, 2019.
The Scripps Research Institute - Scripps Fellow
The bicoastal Scripps Research Institute (TSRI) is conducting a search for Scripps Fellows to be located on either the La Jolla, CA or the Jupiter, FL campus.
Scripps Fellows applicants are intended to be scientists of exceptional promise and creativity who have recently completed their Ph.D. training, or with limited postdoctoral experience (< 1 year). Scripps Fellows will be housed in the laboratory of a designated faculty sponsor who will provide space and share instrumentation. The Fellows will be provided with 100% salary support and funds for two co-workers for a period of three years. The Fellows will work on their own independent research projects, but will also have the opportunity to work closely with joint students and postdocs supported by the faculty sponsor. The Scripps Fellows will have Principal Investigator status and have privileges to apply for external grants to expand their research program. Successful Scripps Fellows will be expected to emerge as nationally competitive for faculty positions and can be considered for faculty positions at Scripps.
Weill Cornell Medicine NYC - 2 Postdoctoral Fellows - Immunology, Microbiology, or Computational Biology
Postdoctoral position in host-mycobiome interactomics (computational or experimental) is available at Weill Cornell Medicine, NYC. The laboratory of Dr. Iliyan D. Iliev is looking for recent Ph.D. graduates with strong background and expertise in one of the following area:
Immunology, Microbiology, or Computational biology with a focus on experimental immunology, disease modeling or data analysis (metagenomics, transcriptomics, fungal or bacterial genome/ transcriptome analysis).
Highly motivated individuals with interests in the above fields are welcome to apply. The lab studies the interaction between host immunity, commensal fungi, and bacteria and how this interplay influences immune homeostasis, microbiota function or diseases of inflammatory and neoplastic origin (Science 2018; 359 (6372): 232-6; Cell Host & Microbe 2018; 10.1016/j.chom.2018.11.003; Cell Host & Microbe 2016; 19(6):865–73; Science 336(6086):1314-7; Nature 491(7422):119-24; Nat. Rev. Immunol. 14(6):405-16).
The successful candidate will benefit from excellent scientific and collaborative environment within our interdisciplinary laboratory https://ilievlab.weill.cornell.edu/, the Jill Roberts Institute for research in IBD and Weill Cornell/Rockefeller/Sloan-Kettering Tri-Institutional campus, state of art research facilities, extensive fully characterized disease cohorts, fungal biology, expertise in disease modeling, pyrosequencing platforms, computational biology and access to rare gut mycobiota-centered disease datasets. The lab has close collaborations with other research programs in the institute investigating immunity and microbiota to translate research findings into mechanisms of human diseases. Successful candidates will join a dynamic team of scientists and will have an opportunity to develop basic science-centered and/or translational research projects on one of the above-mentioned topics.
- Ph.D. in immunology or microbiology with a specific focus on one of the following areas: mucosal-, fungal-, cancer-, neuro- or vaccine immunology
- Advanced expertise in flow cytometry, mouse models (gut inflammation, mucosal vaccines, cancer, or behavior), imaging, and previous work with tissue resident cell populations is required
- Some familiarity with microbiome analysis, singe cell RNA seq analysis, and computational tools is preferred, but not required for position 1
- Ph.D. in computational biology or related field
- Expertise in computational methods, tools, and databases utilized in genomics, metagenomics, (meta)/transcriptomics, single cell transcriptional analysis or bacterial/ fungal genetics data analysis
- Programming skills in R, Python, and C/C++ or equivalents and experience with high-performance cluster computing queuing systems, and experience with data visualization using R and/or Python
- Ability to analyze and interpret statistical data, and communicate results in a clear, concise manner
Please contact Dr. Iliyan Iliev with further questions or directly apply by sending a curriculum vitae, a brief description of research accomplishments, list of publications (published and “in preparation”), and the names of three references to email@example.com.
Baylor College of Medicine - The Alkek Center for Metagenomics and Microbiome Research - Faculty Position
A faculty position is available in the Alkek Center for Metagenomics and Microbiome Research (CMMR) within the Department of Molecular Virology and Microbiology at Baylor College of Medicine (BCM). Investigators at any rank who have demonstrated research excellence and a growing national reputation in fields related to Microbiome or Microbial Systems Research are encouraged to apply. Special consideration will be given to those who incorporate human samples, interface with clinical medicine, or use animals or organotypic culture systems to address the fundamental mechanisms underlying microbial-influenced diseases. Research in host-microbe interactions, mucosal immunology, cell signaling, metabolomics, systems biology, pathogenesis, antibiotic/antimicrobial resistance are of particular interest yet researchers working on any related area of microbiology are welcome to apply. Faculty members in CMMR enjoy access to more than 30 state-of-the-art Core facilities, a student body from a nationally ranked Graduate School, and location in the Texas Medical Center, the largest in the world, known for its widespread collaboration among faculty, clinicians, centers and institutions. A generous seed package, outstanding benefits and salary, and ample research space are included. Please send a Curriculum vitae, a 1-3 page summary of research interests, and names and contact information for three referees to Drs. Robert Britton and Anthony Maresso at BCM-CMMR-Recruit@BCM.EDU by December 15, 2018.
Caltech - Postdoctoral Fellowship - Geobiology of Complex Multicellular Life
The Division of Geological and Planetary Sciences at the California Institute of Technology invites applications for a 2-year postdoctoral fellowship to investigate the geobiology of complex multicellular life. The fellowship carries an annual stipend of $61,000 plus a research expense fund of $5,000 and up to $2,000 for one-way travel costs to Pasadena and is expected to begin within the calendar year 2019. Award is contingent on completion of the Ph.D. degree prior to starting, and good progress in the first year. Fellows are eligible to participate in Caltech’s benefit programs, including health and dental programs.
Complex multicellularity has evolved several times independently on our planet: in animals, algae, plants, and at least three times within the fungi. These organisms tend to have rich fossil records that – in combination with genomic and/or geochemical data – allow one to address historical questions in great detail. We are also beginning to recognize them as critical geobiological agents in the environment (e.g arthropods, plants, fungi). Emerging observations from the geological record also indicate major areas of interplay between their evolutionary processes and changes in climate, chemistry, and physical processes operating at the Earth surface. This fellowship will be awarded to foster innovative research in any of these areas, or related areas, at Caltech. Applicants with training in geology, chemistry, or biology are encouraged to apply. It is expected that the fellowship recipient be hosted by one or more division professors who will provide both financial support and mentorship.
Materials in support of an application should include curriculum vitae, list of publications, a one-page statement of research interests, and three letters of reference. Complete applications including letters of reference are due by December 31, 2018. Applications can be submitted to Jen Shechet at firstname.lastname@example.org.
If there are any questions during the search process, please contact us at email@example.com
Harvard T.H. Chan School of Public Health - Postdoctoral Fellow - Molecular and Microbiology Research
The Huttenhower group in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health and the Broad Institute of MIT and Harvard (http://huttenhower.sph.harvard.edu) is seeking a Postdoctoral Fellow to lead molecular and microbiology research in the group’s laboratory. The successful candidate will be primarily based in the group’s wet lab, comprising facilities for microbial community sequencing (metagenomics, 16S, 18S/ITS, and viral), sample handling, and anaerobic microbiology. He or she will have the opportunity to take on research projects and mentoring roles as desired, the latter comprising oversight of the subset of students carrying out experimental work (in contrast to the group’s predominantly computational component).
As lead of the group’s experimental laboratory facilities, the Fellow will carry out microbial and microbial community research, including culture and data generation; assist with experimental design; mentor junior members in the lab; and develop and maintain lab safety and compliance documentation. He or she will also research and execute the purchase of equipment and major supplies. Major experimental activities include high-throughput sequencing, requiring nucleic acid extraction and next-generation library preparation, as well as microbial cell culture. In addition, the successful candidate will train other lab personnel in safety, procedures, and techniques. Finally, the Fellow will design, plan, and conduct experiments in consultation with the PI, as well as overseeing IRB documentation in collaboration with other lab members creating and executing protocols.
The Huttenhower lab is broadly engaged in methods development and applied studies of the roles of the human microbiome in health and disease, with a focus on computational approaches to characterize biomolecular functions within these microbial communities and their interactions with host immunity and health. The group works closely with the Harvard Chan School, the Broad Institute, the Dana-Farber Cancer Institute, and the broader Boston biomedical and life sciences communities, resulting in a rich environment for quantitative, computational, and laboratory collaborations. Funding is available for two years, contingent upon annual reviews, with an expectation of extension and expansion for subsequent years. If successful, the Fellow will have the opportunity to continue with the group in more senior Research Associate/Scientist roles in the future.
Biology, ideally microbiology, molecular biology, or a related field required; familiarity with bioinformatic environments (R/Python/etc.) is beneficial but not required; familiarity with microbial community studies is desirable; research productivity as indicated by publication record; ability to communicate scientific material and collaborate well.
Harvard T.H. Chan School of Public Health - Postdoctoral Fellow - Microbiome Research
The Huttenhower lab in the Department of Biostatistics at the Harvard T.H. Chan School of Public Health (http://huttenhower.sph.harvard.edu) is seeking a Postdoctoral Fellow. This grant-funded position will provide the opportunity to carry out microbiome research in either or both of two collaborative networks: analyses of type 1 diabetes with the Juvenile Diabetes Research Foundation (JDRF), and/or analyses of arthritis and rheumatic disease with the Inflammatory Arthritis Microbiome Consortium (IAMC). The Huttenhower lab leads bioinformatics centers for both of these groups, for which the broad goal of the successful candidate will be identifying features of the microbiome (16S amplicon, metagenomic, and metatranscriptomic sequencing, yielding taxa, strains, gene families, pathways, or small molecule products) associated with type 1 diabetes and arthritis outcomes.
Specifically, the JDRF microbiome consortium is an approximately 10-laboratory group, including the Huttenhower laboratory, Broad Institute, and national and international research teams. The lab provides bioinformatics methods, support, and analysis infrastructure to host, analyze, and share microbial community data, particularly metagenomics for the gut in human and animal models. Research with the JDRF includes consulting and management regarding consortium data, collaboration in experimental design and microbiome studies, and facilitation of communication among bioinformaticians across the consortium, in addition to longitudinal metagenome profiling of the infant gut.
The IAMC is a collaboration between the Harvard Chan School, New York University, Oxford University, and clinical teams from across the United Kingdom. It includes shotgun metagenomics for three primary populations: children with juvenile arthritis variants, cross-sectional rheumatoid arthritis and related phenotypes in adults, and longitudinal microbiome samples from newly diagnosed patients undergoing treatment. In addition to carrying out primary analyses on associated gut metagenome profiles, the Fellow will have the opportunity to collaborate with IAMC members investigating parallel gnotobiotic animal models, IgA-seq, and immune cell profiling.
This advanced postdoctoral position will have leeway to direct and carry out research projects within the purview of the JDRF and/or IAMCmicrobiome consortia. The successful candidate will also work with the group’s current software developers and systems administrators, who provide computational support for the consortia’s bioinformatics infrastructures. Strong computational skills are required, as is the ability and willingness to collaborate with and coordinate among translational, immunology, and other bioinformatics research groups.
Doctoral degree in Bioinformatics, Computer Science, Biostatistics, Quantitative Biology, or related field; experience and proficiency in Linux/Unix command line and research environments; working knowledge of Python, in addition to other scripting environments appropriate for scientific data management (shell, R, etc.); basic familiarity with scientific software management (particularly Galaxy and related web content management applications); excellence in research, communication, and collaboration skills, as evidenced by publication record.
DOE Joint Genome Institute (JGI) - Metagenome Data Scientist
Large-scale mining of shotgun metagenome data has illuminated biogeographic patterns of microbial and viral players globally, and greatly expanded the phylogenetic breadth of uncultivated microbial lineages in the tree of life. The Metagenome Data Scientist will be expected to develop and apply computational tools for data handling, analysis, and visualization for comparative analysis of genomes and metagenomes. The successful candidate will work as part of a dynamic, multidisciplinary team of biologists, computer scientists, software developers, and postdoctoral researchers.
- Bachelor's degree in Bioinformatics, Computational Biology, Computer Science, or related field with a minimum of five years of work experience, or an equivalent combination of education and experience.
- Advanced degree (MS / Ph.D.) preferred.
- Demonstrated expertise processing large volumes of data, genome and metagenome data analysis, and comparative metagenomics
- Able to program in Python, Perl, Java, and read/decipher C/C++
- Familiar with advanced UNIX utilities and shell programming
- Familiar with existing bioinformatics databases, tools, and best practices
- Experience and skill in preparing research publications
- Ability to troubleshoot complex systems and data analysis problems
- Ability to contribute to the development of multiple projects/pipelines
- Understanding of sequencing analysis methods (assembly, gene calling, functional annotation)
- Strong problem-solving, decision-making, and analytical skills to make sound judgments and recommend creative solutions to moderately complex problems
- Strong interpersonal skills with the ability to work independently and as a team member in a diverse team environment
- Ability to organize and present reports to collaborators, JGI staff, management, and sponsors
DOE Joint Genome Institute (JGI) - Postdoctoral Fellow - Computational Biologist
The application of stable isotope probing (SIP) provides a means to expand the toolkit of sequence-to-function approaches for uncultivated microbial taxa. The Computational Biologist Postdoctoral Fellow will develop a new SIP-metagenomics computational workflow for the quantitative analysis of microbial groups actively assimilating isotopically-labeled compounds. The successful candidate will be expected to work independently,as well as contribute as a member of a dynamic, multidisciplinary team of biologists, bioinformaticians,computer scientists, and software developers. The successful candidate will report directly to the Metagenome Program Head, but will work closely with the Microscale Applications Group Lead and production and scientific staff in the Prokaryote Super Program.
- Recent Ph.D. (within the last 4 years) in microbiology, bioinformatics, statistics or a related discipline
- Experience in stable isotope probing (SIP) and associated data analysis is essential with a proven track record in this area reflected in recent or pending publications
- Substantial knowledge and understanding of bioinformatics tools for sequence similarity search, multiple sequence alignment, profile search, clustering and phylogenetic analyses using ribosomal genes and conserved marker genes is required
- Significant experience in methods and tools for next-generation sequencing, metagenome assembly, and binning, and genome reconstruction
- Experience in a scripting language (Perl, Python) is a must, knowledge of Unix tools, relational databases, and R is desirable
- Ability to troubleshoot complex systems and data analysis problems
- Demonstrated ability to conduct and perform collaborative research and effectively interact with a broad range of colleagues with tact and diplomacy
- Excellent organizational, analytical, and record-keeping skills with the ability to organize and present technical reports to collaborators, JGI staff, management, and sponsors
- Demonstrated ability to accurately and eloquently represent and promote scientific projects to audiences of diverse technical backgrounds
- Ability to independently carry out high-quality research with tenacity and creativity
Rutgers University - Biochem & Microbiology - Post-Doctoral Associate
A teaching postdoctoral position is available in the field of microbial physiology, focused on the study of the mechanisms that cells use to 1) build inorganic protein prosthetic groups called iron-sulfur (FeS) clusters, and 2) maturate FeS proteins. These processes, which are essential for life, are also antibiotic targets. The studies will be carried out in the model bacterium Bacillus subtilis and the human pathogen Staphylococcus aureus; the results from the studies will impact our understanding of iron-dependent processes from bacteria to humans. The applicant will examine the functions of two proteins of unknown function that have roles in the aforementioned processes. S/he will use state-of-the-art mass spectrometry and DNA-sequencing to form hypotheses that can be tested using in vitro biochemical techniques. The position is intended for a molecular microbiologist or biochemist with experience examining protein function. Ability to network with others for collaborative experimentation and data analysis is required.
Approximately 75% of the applicant’s time will be focused on scholarly activities. For the remaining time, s/he will assist the Principle Investigator in designing and implementing a laboratory-based wet and dry lab course in microbial physiology and biochemistry. During this time, s/he will aid in the design and implementation of curricula, assign course and laboratory learning goals, assess student learning outcomes, and mentor students. An overarching goal of this position is to ensure that the hire is prepared to successfully transition into a career as a teacher-scholar.
The candidate should have strong scientific credentials in the fields of molecular microbiology and/or protein biochemistry, as well as a robust publication record. A background in microbial physiology and classic or molecular genetics is preferred. Preference will be given to applicants who have studied cellular uses for metal ions or metal ion homeostasis and/or disbalance. The ability to network with team members and collaborators for experimental execution and data analyses is important. Because the applicant will interface with students, demonstration of effective communication is important.
Rutgers University - Tenure-Track Faculty Position in Computational Genetics
The Department of Genetics in the School of Arts and Sciences at Rutgers, The State University of New Jersey seeks outstanding tenure-track Assistant or Associate Professors to complement the existing faculty in computational genetics, moving our program into exciting new areas and expanding our existing strengths. The department hosts one of the oldest undergraduate majors in Genetics in the country, is a member of a strong Ph.D. program, and runs a new Genetic Counseling masters program. We are part of a vibrant and interactive research community at Rutgers, an elite research institution, topping $608 million in yearly research funding (FY2017). Our computational group collaborates with other Department of Genetics faculty and Rutgers scientists within the Division of Life Sciences, the Departments of Computer Science and Statistics, the Waksman Institute of Microbiology, the Center for Advanced Biotechnology and Medicine, the Robert Wood Johnson Medical School, the Institute for Quantitative Biomedicine, the Center for Discrete Mathematics and Theoretical Computer Science (DIMACS), the Center for Human Evolutionary Studies, and the Cancer Institute of New Jersey.
Candidates must have a Ph.D. and/or M.D. or the equivalent in Genetics, Computer Sciences, or a related field, a demonstrated record of significant research, the potential to make substantial contributions as an independent investigator, and a commitment to teaching undergraduate and graduate students.